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J.G.A. Pocock, Historian Who Argued for Historical Context, Dies at 99 - The New York T... - 0 views

  • J.G.A. Pocock, who brought new perspectives to historical scholarship by arguing that the first step in understanding events of the past is to identify their linguistic and intellectual context
  • Among the most important were “The Ancient Constitution and the Feudal Law: A Study of English Historical Thought in the Seventeenth Century” (1957), “The Machiavellian Moment: Florentine Political Thought and the Atlantic Republican Tradition” (1975) and, most notably, “Barbarism and Religion,” a six-volume study of the life and times of Edward Gibbon,
  • Professor Pocock, Quentin Skinner and other like-minded scholars, known collectively as the Cambridge School, came to prominence in the late 1960s with a fresh approach to the study of political thought, characterized by an emphasis on context and an unwillingness to assume that all ideas and problems were viewed in the past as they would be viewed today.
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  • “Pocock rejected the idea that politics or philosophy addressed the same problems over time — what justice meant for Aristotle did not mean the same for Hobbes or for Rousseau,”
  • “So explaining what political ideas meant in theory and in practice became the historian’s task.”
  • The Cambridge School attracted devotees across the world in departments of politics, history, philosophy, literature and language — scholars who were admonished to set aside any modern-day assumptions and prejudices they might hold when delving into the past.
  • “Readers, Christian or non-believing, who may find themselves involved in analyses of thought they consider obsolete or false, are asked to remember that they are studying the history of a time when such thinking was offered and read seriously,” he wrote.
  • Professor Pocock’s first book, “The Ancient Constitution and the Feudal Law,” made clear that he would not be a conventional historian. The book asked how people in the 17th century viewed their past, and he wasn’t satisfied with drawing on the go-to philosopher of the period, John Locke. As Colin Kidd wrote in The London Review of Books in 2008, the book “drove a bypass around Locke” and “concentrated instead on a set of debates among such obscure antiquaries as William Petyt, James Tyrrell, William Atwood and Robert Brady.”
  • “The Machiavellian Moment” cemented Professor Pocock’s reputation among historians, and it continued to grow from there. The first volume of “Barbarism and Religion” came out in 1999, when Professor Pocock was in his mid-70s. Volume 6 appeared in 2015. He also edited or co-edited “The Political Works of James Harrington” (1977), “Edmund Burke: Reflections on the Revolution in France” (1987) and “The Varieties of British Political Thought, 1500-1800” (1993), among other books.
  • “Pocock’s central contention,” the Oxford historian Keith Thomas wrote in The New York Review of Books in 1986, “is that a work of political thought can only be understood if the reader is aware of the contemporary linguistic constraints to which its author was subject, for these constraints prescribed both his subject matter and the way in which that subject matter was conceptualized.”
  • its application to the history of political ideas forms a great contrast to the assumptions of the 1950s, when it was widely thought that the close reading of a text by an analytic philosopher was sufficient to establish its meaning, even though the philosopher was quite innocent of any knowledge of the period in which the text was written or of the linguistic traditions within which its author operated.”
  • “Historians need to understand that the history of discourse is not a simple linear sequence in which new patterns overcome and replace the old,” he wrote in 1988 in a preface to a reissue of “Politics, Language and Time,” a 1971 essay collection, “but a complex dialogue in which these patterns persist in transforming one another.”
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Australia Wields a New DNA Tool to Crack Missing-Person Mysteries - The New York Times - 0 views

  • The technique can predict a person’s ancestry and physical traits without the need for a match with an existing sample in a database.
  • When a man washed up on the shores of Christmas Island in 1942, lifeless and hunched over in a shrapnel-riddled raft, no one knew who he was.
  • It wasn’t until the 1990s that the Royal Australian Navy began to suspect that he may have been a sailor from the HMAS Sydney II, an Australian warship whose 645-member crew disappeared at sea when it sank off the coast of Western Australia during World War II.
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  • In 2006, the man’s remains were exhumed, but DNA extracted from his teeth yielded no match with a list of people Navy officials thought might be his descendants. With few leads, the scientist who conducted the DNA test, Jeremy Austin, told the Navy about an emerging technique that could predict a person’s ancestry and physical traits from genetic material.
  • In Australia, forensic scientists are repurposing the technique to help link missing persons with unidentified remains in the hope of resolving long-running mysteries. In the case of the sailor, Dr. Austin sent the sample to researchers in Europe, who reported back that the man was of European ancestry and most likely had red hair and blue eyes.
  • That alone wasn’t enough to identify the sailor, but it narrowed the search. “In a ship full of 645 white guys, you wouldn’t expect to see more than two or three with this pigmentation,”
  • This forensic tool, which has been slowly advancing since the mid-2000s, is similar to genetic tests that estimate risks for certain diseases. About five years ago, scientists with the Australian Federal Police began developing their own version of the technology, which combines genomics, big data and machine learning. It became available for use last year.
  • The predictions from DNA phenotyping — whether a person had, say, brown hair and blue eyes — will be brought to life by a forensic artist, combining the phenotype information with renderings of bone structure to generate a three-dimensional digital facial reconstruction.
  • “It’s an investigative lead we’ve never had before,”
  • In the United States, police departments have for years been using private DNA phenotyping services, like one from the Virginia-based Parabon NanoLabs, to try to generate facial images of suspects. The images are sometimes distributed to the public to assist in investigations.
  • Many scientists, however, are skeptical of this application of the technology. “You cannot do a full facial prediction right now,” said Susan Walsh, a professor of biology at Indiana University-Purdue University Indianapolis who developed some of the earliest phenotyping methods for eye and hair color. “The foundation of the genetics is absolutely not there.”
  • Facial image prediction has been condemned by human rights organizations, including the A.C.L.U., which suggest that it risks being skewed by existing social prejudices.
  • The same DNA was then linked to dozens of serious crimes across Western Europe, prompting a theory that the perpetrator was a serial offender from a traveling Roma community.It turned out that the recurring genetic material belonged to a female Polish factory worker who had accidentally contaminated the cotton swabs used to collect the samples.
  • “The families want any and all techniques applied to these cases if it’s going to help answer the question of what happened,” she said.
  • Such was the case with the mystery sailor. After his genotype was sequenced and his phenotype predicted, a team of scientists across several Australian institutions, including Dr. Ward’s program, used this information to track down a woman they believed to be a living relative of the soldier. They checked her DNA and had a match.
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Self-driving car companies' first step to making money isn't robotaxis - 0 views

  • BEIJING — While governments may be wary of driverless cars, people want to buy the technology, and companies want to cash in.It’s a market for a limited version of self-driving tech that assists drivers with tasks like parking and switching lanes on a highway. And McKinsey predicts the market for a basic form of self-driving tech — known as “Level 2” in a classification system for autonomous driving — is worth 40 billion yuan ($6 million) in China alone.
  • But when it comes to revenue, robotaxi apps show the companies are still heavily subsidizing rides. For now, the money for self-driving tech is in software sales.
  • “As a collaborator, we of course want this sold [in] as many car OEMs in China so we can maximize our [revenue and] profit,” he said, referring to auto manufacturers. “We truly believe L2 and L3 systems can make people drive cars [more] safely.”In a separate release, Bosch called the deal a “strategic partnership” and said its China business would provide sensors, computing platforms, algorithm applications and cloud services, while WeRide provides the software. Neither company shared how much capital was invested.
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  • WeRide has a valuation of $4.4 billion, according to CB Insights, with backers such as Nissan and Qiming Venture Partners. WeRide operates robotaxis and robobuses in parts of the southern city of Guangzhou, where it’s also testing self-driving street sweepers.
  • “Because Bosch is in charge of integration, we have to really spend 120% of our time to help Bosch with the integration and adaptation work,” Han said. WeRide has yet to go public.
  • picks for autonomous driving include ArcSoft and Desay SV.An outsourcing business model in China gives independent software vendors more opportunities than in the United States, where software is developed in-house at companies like Tesla, the analysts said. Beijing also plans to have L3 vehicles in mass production by 2025.“Auto OEMs are investing significantly in car software/digitalization to 2025, targeting US$20bn+ of obtainable software revenue by decade-end,” the Goldman analysts wrote in mid-March.
  • They estimate that for every car, the value of software within will rise from $202 each for L0 cars to $4,957 for L4 cars in 2030. For comparison, the battery component costs at least $5,000 today. By that calculation, the market for advanced driver assistance systems and autonomous driving software is set to surge from $2.4 billion in 2021 to $70 billion in 2030 — with China accounting for about a third, the analysts predict.
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Biden Administration to Cut Costs for Wind and Solar Energy Projects - The New York Times - 0 views

  • The Biden administration said on Wednesday it would cut in half the amount it charges companies to build wind and solar projects on federal lands, a move designed to encourage development of renewable energy.
  • “Clean energy projects on public lands have an important role to play in reducing our nation’s greenhouse gas emissions and lowering costs for families,”
  • The new policy would cut those costs by about 50 percent,
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  • The federal Bureau of Land Management also announced that it would strengthen its ability to handle a growing number of applications by wind, solar and geothermal developers by creating five new offices across the West to review proposed projects.
  • The decision comes as the Biden administration also seeks to raise the royalty fees it charges oil and gas companies to drill on federal land and in federal waters. Last month, the administration canceled three oil and gas lease sales in the Gulf of Mexico and off the coast of Alaska, prompting Republican lawmakers to criticize the new renewable energy policies as harmful to energy producing states.
  • “Here is Biden‘s energy policy: wind, solar and wishful thinking,”
  • President Biden has pledged to cut greenhouse gases generated by the United States roughly in half by 2030.
  • Last year, for example, the administration gave a green light to two major solar projects on federal lands in California that it said would generate about 1,000 megawatts, enough electricity to power about 132,000 homes.
  • The reduction in fees and rental rates comes at a challenging time for the solar industry. A Commerce Department investigation into whether Chinese companies are circumventing U.S. tariffs by moving components for solar panels through four Southeast Asian countries has held up hundreds of new solar projects across the country.
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Both main candidates for the South Korean presidency are reviled | The Economist - 0 views

  • LL OF SOUTH KOREA’S past presidents have been tainted by corruption investigations.
  • Politicians usually manage to get elected before becoming mired in scandals.
  • Both Lee Jae-myung of the ruling Minjoo Party and Yoon Seok-youl of the conservative opposition People Power Party (PPP) have been accused of serious wrongdoing since the campaign began. The pair deny any misdeeds. Yet each camp has tried to find advantage in the other’s adversity. With just six weeks to go, the campaign has been heavy on mudslinging and light on serious debate.
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  • Mr Lee’s biggest potential headache is an investigation into allegedly corrupt land deals in Seongnam, a middle-class suburb of Seoul, while he was its mayor. He denies any involvement and has survived a parliamentary audit into the matter.
  • Two officials who were indicted on corruption charges in the case committed suicide in December. That reduces the chances that the full tale will ever come to light.
  • The opposition portrays him as a gangster, playing up alleged links to organised crime and berating him for defending men who had killed their partners when he was a lawyer.
  • prosecutors are investigating claims that, as chief prosecutor, Mr Yoon abetted an underling who allegedly helped the PPP file criminal complaints against Minjoo party lawmakers in the run-up to elections in 2020 (he denies the allegations).
  • Mr Yoon’s numerous gaffes include claims that “poor or uneducated” people do not feel the need for freedom and that those fighting against South Korea’s military dictatorship in the 1980s did not really care about democracy.
  • Mr Yoon’s family is an additional liability. His mother-in-law has received a three-year prison sentence for medical fraud. His wife, Kim Keon-hee, has admitted that she forged most of her CV when applying for jobs as an art curator.
  • This is particularly awkward given that Mr Yoon oversaw the investigation that led to the jailing of the wife of Cho Kuk, Mr Moon’s disgraced justice minister, for forging documents to help her daughter’s university application.
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Ties That Bind Putin and Xi Tested by Russia's Ukraine Invasion - The New York Times - 0 views

  • When Mr. Xi came to power a decade ago, the entente between the countries accelerated into a deepening relationship that has overcome decades of division and suspicion. Trade has skyrocketed, reaching $146 billion last year. The two militaries train together and conduct joint air and naval patrols along China’s coast.
  • “Even though the bilateral relationship is not an alliance, in its closeness and effectiveness this relationship even exceeds that of an alliance,” Mr. Xi told his counterpart during virtual talks in December, according to Mr. Putin’s foreign policy adviser Yuri V. Ushakov.
  • That relationship seemed to reach a new peak at the Olympics. After their meeting, the leaders issued a lengthy joint statement that raised alarms in Washington.
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  • It was the first time China had explicitly endorsed Russia’s demand for a halt to NATO expansion, though it had criticized previous NATO applications by individual countries, including Montenegro and North Macedonia.
  • The two leaders also vowed to resist American-led efforts to promote pluralistic democracy and said they would fight foreign influence under the guise of what both call “color revolutions,” after the popular uprisings in former Soviet republics like Ukraine and Georgia.
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How Sunak may succeed in stopping the boats - 0 views

  • After all, much as its backbenchers huff and puff, even Labour has admitted an important principle: there is a limit to the number of refugees this country can accept.
  • In parliament on Monday, the shadow immigration minister, Stephen Kinnock, said explicitly that “safe and legal routes” for immigration must be “capped” and “based on prioritisation”
  • With an estimated 32.5 million refugees in the world, this ought to be a statement of the obvious
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  • yet it is one the government’s opponents are always reluctant to admit because its logical corollary is that there will always be an incentive for those not included under the cap to try their luck in the Channel — unless they perceive a high risk of deportation. You cannot stop the boats while taking in the passengers.
  • Sunak’s policy, despite its logic, faces a tortuous road ahead. To ministers’ surprise, they won their case on the Rwanda scheme in British courts last year, only to have the first flight blocked in the middle of the night by an ECHR judge.
  • Yet as the home secretary recently suggested, the government still believes it can get its way. The ECHR, despite its reputation for inflexible and expansionist application of human rights law, can be expedient when its institutional reach is under threat
  • In 2012, for example, after an unmanageable surge of cases that provoked European governments’ wrath, the ECHR agreed to limit itself to intervening only where it believed national courts had not done their jobs properly. Its caseload quickly shrank.
  • With the UK outside the EU and therefore able to leave the ECHR with relative ease, the court’s survival instinct has kicked in. Its officials are said to have been taken aback by the hostility to its Rwanda injunction last June and are in a mood to compromise to avoid the risk of losing the UK altogether
  • Even assuming the legislation takes full effect, it may not work. Migrant arrivals are expected to reach 65,000 this year. The asylum backlog stands at 166,000 and counting, hotels are full to bursting and the government hasn’t yet sent a single person to Rwanda, which in turn hasn’t built the capacity to house more than 200. No wonder most think the policy is doomed.
  • Between the prospect of being deported, housed in unappealing lodgings such as barges and RAF bases rather than hotels, and caught by the French, who are being given large sums of money to step up their coastal policing, the government is hoping it can make trying to cross the Channel sufficiently unattractive
  • There has been a sharp drop in the number of Albanians arriving on our beaches since the government signed a co-operation agreement with Tirana, stepped up deportations and publicised both.
  • evidence from Canada in 2016, where a publicity campaign highlighting the deportation of failed asylum seekers from Hungary led to a dramatic drop in arrivals.
  • It all depends on what’s required to deter people from crossing. The aim, after all, isn’t to run a constant, high-volume travel service to Kigali, but to stop people from getting on boats in the first place. This may already be working
  • This leaves the final piece, which is the expansion of “safe and legal routes” to the UK. It has taken months of awkward media interviews, select committee hearings and the threat of a backbench rebellion, but the government has finally accepted it needs a better system for taking in legitimate refugees.
  • One way is a broader, Ukraine-style scheme, so households can bring in refugees if they agree to take them in
  • Another is to allow for more extended family reunifications for refugees who have relatives here
  • And another would be to expand the practice of assessing and accepting people at UN camps, like the Syrian resettlement scheme
  • After years of ineffectual government under Theresa May and Boris Johnson, we have become used to the idea that ministers never have any ability or intention of keeping their promises
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The Contradictions of Sam Altman, the AI Crusader Behind ChatGPT - WSJ - 0 views

  • Mr. Altman said he fears what could happen if AI is rolled out into society recklessly. He co-founded OpenAI eight years ago as a research nonprofit, arguing that it’s uniquely dangerous to have profits be the main driver of developing powerful AI models.
  • He is so wary of profit as an incentive in AI development that he has taken no direct financial stake in the business he built, he said—an anomaly in Silicon Valley, where founders of successful startups typically get rich off their equity. 
  • His goal, he said, is to forge a new world order in which machines free people to pursue more creative work. In his vision, universal basic income—the concept of a cash stipend for everyone, no strings attached—helps compensate for jobs replaced by AI. Mr. Altman even thinks that humanity will love AI so much that an advanced chatbot could represent “an extension of your will.”
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  • The Tesla Inc. CEO tweeted in February that OpenAI had been founded as an open-source nonprofit “to serve as a counterweight to Google, but now it has become a closed source, maximum-profit company effectively controlled by Microsoft. Not what I intended at all.”
  • Backers say his brand of social-minded capitalism makes him the ideal person to lead OpenAI. Others, including some who’ve worked for him, say he’s too commercially minded and immersed in Silicon Valley thinking to lead a technological revolution that is already reshaping business and social life. 
  • In the long run, he said, he wants to set up a global governance structure that would oversee decisions about the future of AI and gradually reduce the power OpenAI’s executive team has over its technology. 
  • OpenAI researchers soon concluded that the most promising path to achieve artificial general intelligence rested in large language models, or computer programs that mimic the way humans read and write. Such models were trained on large volumes of text and required a massive amount of computing power that OpenAI wasn’t equipped to fund as a nonprofit, according to Mr. Altman. 
  • In its founding charter, OpenAI pledged to abandon its research efforts if another project came close to building AGI before it did. The goal, the company said, was to avoid a race toward building dangerous AI systems fueled by competition and instead prioritize the safety of humanity.
  • While running Y Combinator, Mr. Altman began to nurse a growing fear that large research labs like DeepMind, purchased by Google in 2014, were creating potentially dangerous AI technologies outside the public eye. Mr. Musk has voiced similar concerns of a dystopian world controlled by powerful AI machines. 
  • Messrs. Altman and Musk decided it was time to start their own lab. Both were part of a group that pledged $1 billion to the nonprofit, OpenAI Inc. 
  • Mr. Altman said he doesn’t necessarily need to be first to develop artificial general intelligence, a world long imagined by researchers and science-fiction writers where software isn’t just good at one specific task like generating text or images but can understand and learn as well or better than a human can. He instead said OpenAI’s ultimate mission is to build AGI, as it’s called, safely.
  • “We didn’t have a visceral sense of just how expensive this project was going to be,” he said. “We still don’t.”
  • Tensions also grew with Mr. Musk, who became frustrated with the slow progress and pushed for more control over the organization, people familiar with the matter said. 
  • OpenAI executives ended up reviving an unusual idea that had been floated earlier in the company’s history: creating a for-profit arm, OpenAI LP, that would report to the nonprofit parent. 
  • Reid Hoffman, a LinkedIn co-founder who advised OpenAI at the time and later served on the board, said the idea was to attract investors eager to make money from the commercial release of some OpenAI technology, accelerating OpenAI’s progress
  • “You want to be there first and you want to be setting the norms,” he said. “That’s part of the reason why speed is a moral and ethical thing here.”
  • The decision further alienated Mr. Musk, the people familiar with the matter said. He parted ways with OpenAI in February 2018. 
  • Mr. Musk announced his departure in a company all-hands, former employees who attended the meeting said. Mr. Musk explained that he thought he had a better chance at creating artificial general intelligence through Tesla, where he had access to greater resources, they said.
  • OpenAI said that it received about $130 million in contributions from the initial $1 billion pledge, but that further donations were no longer needed after the for-profit’s creation. Mr. Musk has tweeted that he donated around $100 million to OpenAI. 
  • Mr. Musk’s departure marked a turning point. Later that year, OpenAI leaders told employees that Mr. Altman was set to lead the company. He formally became CEO and helped complete the creation of the for-profit subsidiary in early 2019.
  • A young researcher questioned whether Mr. Musk had thought through the safety implications, the former employees said. Mr. Musk grew visibly frustrated and called the intern a “jackass,” leaving employees stunned, they said. It was the last time many of them would see Mr. Musk in person.  
  • In the meantime, Mr. Altman began hunting for investors. His break came at Allen & Co.’s annual conference in Sun Valley, Idaho in the summer of 2018, where he bumped into Satya Nadella, the Microsoft CEO, on a stairwell and pitched him on OpenAI. Mr. Nadella said he was intrigued. The conversations picked up that winter.
  • “I remember coming back to the team after and I was like, this is the only partner,” Mr. Altman said. “They get the safety stuff, they get artificial general intelligence. They have the capital, they have the ability to run the compute.”   
  • Mr. Altman disagreed. “The unusual thing about Microsoft as a partner is that it let us keep all the tenets that we think are important to our mission,” he said, including profit caps and the commitment to assist another project if it got to AGI first. 
  • Some employees still saw the deal as a Faustian bargain. 
  • OpenAI’s lead safety researcher, Dario Amodei, and his lieutenants feared the deal would allow Microsoft to sell products using powerful OpenAI technology before it was put through enough safety testing,
  • They felt that OpenAI’s technology was far from ready for a large release—let alone with one of the world’s largest software companies—worrying it could malfunction or be misused for harm in ways they couldn’t predict.  
  • Mr. Amodei also worried the deal would tether OpenAI’s ship to just one company—Microsoft—making it more difficult for OpenAI to stay true to its founding charter’s commitment to assist another project if it got to AGI first, the former employees said.
  • Microsoft initially invested $1 billion in OpenAI. While the deal gave OpenAI its needed money, it came with a hitch: exclusivity. OpenAI agreed to only use Microsoft’s giant computer servers, via its Azure cloud service, to train its AI models, and to give the tech giant the sole right to license OpenAI’s technology for future products.
  • In a recent investment deck, Anthropic said it was “committed to large-scale commercialization” to achieve the creation of safe AGI, and that it “fully committed” to a commercial approach in September. The company was founded as an AI safety and research company and said at the time that it might look to create commercial value from its products. 
  • Mr. Altman “has presided over a 180-degree pivot that seems to me to be only giving lip service to concern for humanity,” he said. 
  • “The deal completely undermines those tenets to which they secured nonprofit status,” said Gary Marcus, an emeritus professor of psychology and neural science at New York University who co-founded a machine-learning company
  • The cash turbocharged OpenAI’s progress, giving researchers access to the computing power needed to improve large language models, which were trained on billions of pages of publicly available text. OpenAI soon developed a more powerful language model called GPT-3 and then sold developers access to the technology in June 2020 through packaged lines of code known as application program interfaces, or APIs. 
  • Mr. Altman and Mr. Amodei clashed again over the release of the API, former employees said. Mr. Amodei wanted a more limited and staged release of the product to help reduce publicity and allow the safety team to conduct more testing on a smaller group of users, former employees said. 
  • Mr. Amodei left the company a few months later along with several others to found a rival AI lab called Anthropic. “They had a different opinion about how to best get to safe AGI than we did,” Mr. Altman said.
  • Anthropic has since received more than $300 million from Google this year and released its own AI chatbot called Claude in March, which is also available to developers through an API. 
  • Mr. Altman shared the contract with employees as it was being negotiated, hosting all-hands and office hours to allay concerns that the partnership contradicted OpenAI’s initial pledge to develop artificial intelligence outside the corporate world, the former employees said. 
  • In the three years after the initial deal, Microsoft invested a total of $3 billion in OpenAI, according to investor documents. 
  • More than one million users signed up for ChatGPT within five days of its November release, a speed that surprised even Mr. Altman. It followed the company’s introduction of DALL-E 2, which can generate sophisticated images from text prompts.
  • By February, it had reached 100 million users, according to analysts at UBS, the fastest pace by a consumer app in history to reach that mark.
  • n’s close associates praise his ability to balance OpenAI’s priorities. No one better navigates between the “Scylla of misplaced idealism” and the “Charybdis of myopic ambition,” Mr. Thiel said. 
  • Mr. Altman said he delayed the release of the latest version of its model, GPT-4, from last year to March to run additional safety tests. Users had reported some disturbing experiences with the model, integrated into Bing, where the software hallucinated—meaning it made up answers to questions it didn’t know. It issued ominous warnings and made threats. 
  • “The way to get it right is to have people engage with it, explore these systems, study them, to learn how to make them safe,” Mr. Altman said.
  • After Microsoft’s initial investment is paid back, it would capture 49% of OpenAI’s profits until the profit cap, up from 21% under prior arrangements, the documents show. OpenAI Inc., the nonprofit parent, would get the rest.
  • He has put almost all his liquid wealth in recent years in two companies. He has put $375 million into Helion Energy, which is seeking to create carbon-free energy from nuclear fusion and is close to creating “legitimate net-gain energy in a real demo,” Mr. Altman said.
  • He has also put $180 million into Retro, which aims to add 10 years to the human lifespan through “cellular reprogramming, plasma-inspired therapeutics and autophagy,” or the reuse of old and damaged cell parts, according to the company. 
  • He noted how much easier these problems are, morally, than AI. “If you’re making nuclear fusion, it’s all upside. It’s just good,” he said. “If you’re making AI, it is potentially very good, potentially very terrible.” 
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How Much Longer Can Trump's Con Endure? - 0 views

  • There’s an important lesson here, applicable to pyramid schemes, politics, and a host of cultural challenges where people find hope and purpose in all the wrong places. You can’t fact-check a person out of hope and purpose. They’ll resent you even if you’re right.
  • Instead, it’s always preferable, if at all possible, to replace something bad with something better. That’s a key reason Trump is losing altitude now.
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India Is Passing China in Population. Can Its Economy Ever Do the Same? - The New York ... - 0 views

  • The two nations share several historical parallels. The last time they traded places in population, in the 18th century or earlier, the Mughals ruled India and the Qing dynasty was expanding the borders of China; between them they were perhaps the richest empires that had ever existed
  • But as European powers went on to colonize most of the planet and then industrialized at home, the people of India and China became among the world’s poorest.
  • As recently as 1990, the two countries were still on essentially the same footing, with a roughly equal economic output per capita. Since then, China has shaken the world by creating more wealth than any other country in history. While India, too, has picked itself back up in the three decades since it liberalized its economy, it remains well behind in many of the most basic scales.
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  • Today, China’s economy is roughly five times the size of India’s. The average citizen of China has an economic output of almost $13,000 a year, while the average Indian’s is less than $2,500
  • In human-development indicators, the contrast is even sharper, with infant mortality rates much higher in India, life expectancy lower and access to sanitation less prevalent.
  • The divergence, analysts say, comes down largely to China’s central consolidation of policy power, an earlier start in opening up its economy to market forces starting in the late 1970s, and its single-minded focus on export-led growth.
  • China took the first-mover advantage and then compounded its dominance as it pursued its plans relentlessly.
  • India started opening its quasi-socialist economy nearly a decade later. Its approach remained piecemeal, constrained by tricky coalition politics and the competing interests of industrialists, unions, farmers and factions across its social spectrum.
  • “There is that element where China is a natural role model — not for its politics, but for the sheer efficiency,”
  • The world now has a radically different power structure than it did in 1990. China has already made itself the world’s factory, all but closing off any path India could take to competitive dominance in export-driven manufacturing.
  • A “Make in India” campaign, inaugurated by Mr. Modi in 2014, has been stuttering ever since. Wage costs are lower in India than in China, but much of the work force is poorly educated, and the country has struggled to attract private investment with its restrictive labor laws and other impediments to business, including lingering protectionism.
  • service-sector growth can go only so far in reaping India’s promise of a demographic dividend, or blunt the peril of an unemployment crisis. Hundreds of millions of people can’t find jobs or are underemployed in work that pays too little.
  • the employment entrance exams at government agencies. These jobs are still coveted as private sector work remains limited and less stable.
  • 650,000 students will apply for just 600 or 700 jobs in the national civil service this year.
  • The civil service is a tiny part of the work force, but it is prestigious — in part because it comes with job security for life. Most applicants spend years, and a big chunk of their family’s savings, and still fail to make the cut.
  • “Here there is no enterprise, no companies,” Mr. Kumar said. For any young person, “the question comes, ‘What next? What can I do?’”
  • The lessons Mr. Modi is taking from China are most apparent in his push for infrastructure development, investing heavily in highways, railways and airports to improve supply chains and connectivity.
  • India has quintupled its annual spending on roads and railways during Mr. Modi’s nine years in power
  • As Mr. Modi has boxed in opponents, cowed the press and overwhelmed independent elements of civil society, his government has lashed out at expressions of concern from abroad as evidence of a colonial plot to undermine India or a lack of understanding of India’s “civilizational” approach — both elements that diplomats had long heard in China’s own defensiveness.
  • All the while, the increasing militancy of his Hindu nationalist supporters, as arms of the state hang back and give perpetrators a free pass, exacerbates India’s religious fault lines and clashes that threaten to disrupt India’s rise.
  • Even as India tries to align its growing technological and economic capacity to capitalize on the Western tensions with China, it is determined to stick to its neutrality and maintain a balancing act between the United States and Russia. There is also the question of whether the West’s shift from China, the linchpin of the global economy, is a temporary recalibration or a more fundamental one.
  • “China took advantage of a favorable geopolitical moment to really transform itself by having access to technology, to capital, to markets led by the United States. It took advantage of that to build itself up,” Mr. Saran said. “This could be that moment for India.”
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Carole Hooven On Harvard's Existential Crisis - 0 views

  • The most salutary aspect of this whole affair is that it has really helped expose the core disagreement in our current culture war. One side believes, as I do, that individual merit exists, and should be the core criterion for admission to a great university, regardless of an individual’s racial or sexual identity, and so on. The other side believes that merit doesn’t exist at all outside the oppressive paradigm of racial and sexual identity, and that membership in a designated “marginalized” group should therefore be the core criterion for advancement in academia.
  • so they discriminate against individuals on the grounds of their race before they consider merit.
  • For example: If you are black and in the fourth lowest decile of SATs and GPAs among Harvard applicants, you have a higher chance of getting into Harvard (12.8 percent admitted) than an Asian-American in the very top decile (12.7 admitted). It’s rigged, which is why it was shut down by SCOTUS.
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  • there is no debate. There’s a trade-off. But once you make identity a core qualification, you’re opening up a whole world of racist anti-racism.
  • Most Americans believe in individual merit, and advancement regardless of identity. Harvard and our new elite believe that our society is so structured as an enduring “white supremacy” that merit can only be considered after you have accounted for the effects of “intersectional oppression.”
  • each moment of truth puts a crack in the stifling, authoritarian edifice of DEI. We can bring this corruption to light. We can hold them to account. I’m certainly more hopeful about the future of liberal society now than I was a month ago.
  • the only way to cover it all up, of course, is to abolish testing students entirely (which is what so many elite colleges and universities are now doing) or to give all students an A or an A-, making any distinctions of excellence irrelevant.
  • When push comes to shove, when there is a finite number of places available, you’re in a zero-sum predicament. You have to pick between a smarter student of the wrong race and a weaker student of the right race. In the end at Harvard, being in the right race — not merit — determines your chances.
  • The more people see this for the systemic racism it is, the sooner we can throw this neo-Marxist cuckoo out of the liberal nest, and return to the airing of all ideas, regardless of the subject matter or the identity of the students
  • That’s how you can claim, as Gay does, that “diversity” and “excellence” go hand in hand, when obviously, at some point they can and do conflict.
  • The response to all this from the CRT crowd has been to insist — ever more strongly — that Gay is simply and only a victim of racism, or, in woke terminology, a victim of misogynoir. The fact that a white female university president at those same hearings lost her job before Gay did — and without any plagiarism questions — doesn’t count.
  • In the Congressional hearings, moreover, she showed little gravitas, grace, or ability to think on her feet. She has largely hidden from public view since the plagiarism revelations — not a good instinct for a leader of a huge, public-facing institution like Harvard. She is, quite obviously, a run-of-the-mill woke academic, who was promoted at breakneck speed because of her race and sex, and found herself quickly out of her depth.
  • When you look instead at what she has done as an administrator, which is where she has been focused more recently, you see it has almost all been about hiring on the basis of sex and race, persecuting heretical members of racial minorities, and removing paintings of dead white dudes. She is, at least, consistent.
  • And let’s be honest: we can all see with our own eyes that subordinating merit to race and sex is how Gay got her position. Her work, beyond the sloppy dime-store plagiarism, would be underwhelming for an average member of any faculty in the country. But for a Harvard president, it’s astonishingly mid
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Suddenly There Aren't Enough Babies. The Whole World Is Alarmed. - WSJ - 0 views

  • The world is at a startling demographic milestone. Sometime soon, the global fertility rate will drop below the point needed to keep population constant. It may have already happened.
  • Fertility is falling almost everywhere, for women across all levels of income, education and labor-force participation.
  • Governments have rolled out programs to stop the decline—but so far they’ve barely made a dent.
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  • It’s dropping in developing countries, too. India surpassed China as the most populous country last year, yet its fertility is now below replacement.
  • “The demographic winter is coming,”
  • Smaller populations come with diminished global clout, raising questions in the U.S., China and Russia about their long-term standings as superpowers.
  • Some demographers think the world’s population could start shrinking within four decades—one of the few times it’s happened in history.
  • A year ago Japanese Prime Minister Fumio Kishida declared that the collapse of the country’s birthrate left it “standing on the verge of whether we can continue to function as a society.”
  • Had fertility stayed near 2.1, where it stood in 2007, the U.S. would have welcomed an estimated 10.6 million more babies since
  • In 2017, when the global fertility rate—a snapshot of how many babies a woman is expected to have over her lifetime—was 2.5, the United Nations thought it would slip to 2.4 in the late 2020s. Yet by 2021, the U.N. concluded, it was already down to 2.3—close to what demographers consider the global replacement rate of about 2.2
  • He has found that national birth registries are typically reporting births 10% to 20% below what the U.N. projected.
  • China reported 9 million births last year, 16% less than projected in the U.N.’s central scenario. In the U.S., 3.59 million babies were born last year, 4% less than the U.N. projected. In other countries, the undershoot is even larger: Egypt reported 17% fewer births last year. In 2022, Kenya reported 18% fewer.
  • In 2017 the U.N. projected world population, then 7.6 billion, would keep climbing to 11.2 billion in 2100. By 2022 it had lowered and brought forward the peak to 10.4 billion in the 2080s. That, too, is likely out of date
  • the University of Washington now thinks it will peak around 9.5 billion in 2061 then start declining. 
  • The falling birthrates come with huge implications for the way people live, how economies grow and the standings of the world’s superpowers.
  • In the U.S., a short-lived pandemic baby boomlet has reversed. The total fertility rate fell to 1.62 last year, according to provisional government figures, the lowest on record.
  • In 2017, when the fertility rate was 1.8, the Census Bureau projected it would converge over the long run to 2.0. It has since revised that down to 1.5. “It has snuck up on us,”
  • Historians refer to the decline in fertility that began in the 18th century in industrializing countries as the demographic transition. As lifespans lengthened and more children survived to adulthood, the impetus for bearing more children declined. As women became better educated and joined the workforce, they delayed marriage and childbirth, resulting in fewer children. 
  • Some demographers see this as part of a “second demographic transition,” a societywide reorientation toward individualism that puts less emphasis on marriage and parenthood, and makes fewer or no children more acceptable. 
  • In research published in 2021, the University of Maryland’s Kearney and two co-authors looked for possible explanations for the continued drop. They found that state-level differences in parental abortion notification laws, unemployment, Medicaid availability, housing costs, contraceptive usage, religiosity, child-care costs and student debt could explain almost none of the decline
  • “We suspect that this shift reflects broad societal changes that are hard to measure or quantify,” they conclude.
  • while raising children is no more expensive than before, parents’ preferences and perceived constraints have changed
  • “If people have a preference for spending time building a career, on leisure, relationships outside the home, that’s more likely to come in conflict with childbearing.” 
  • Once a low fertility cycle kicks in, it effectively resets a society’s norms and is thus hard to break, said Jackson. “The fewer children you see your colleagues and peers and neighbors having, it changes the whole social climate,”
  • Fertility is below replacement in India even though the country is still poor and many women don’t work—factors that usually sustain fertility.
  • Urbanization and the internet have given even women in traditional male-dominated villages a glimpse of societies where fewer children and a higher quality of life are the norm. “People are plugged into the global culture,
  • mothers and fathers, especially those that are highly educated, spend more time with their children than in the past. “The intensity of parenting is a constraint,”
  • Sub-Saharan Africa once appeared resistant to the global slide in fertility, but that too is changing. The share of all women of reproductive age using modern contraception grew from 17% in 2012 to 23% in 2022
  • Jose Rimon, a professor of public health at Johns Hopkins University, credits that to a push by national leaders in Africa which, he predicted, would drive fertility down faster than the U.N. projects. 
  • Mae Mariyam Thomas, 38, who lives in Mumbai and runs an audio production company, said she’s opted against having children because she never felt the tug of motherhood. She sees peers struggling to meet the right person, getting married later and, in some instances, divorcing before they have kids. At least three of her friends have frozen their eggs,
  • Danielle Vermeer grew up third in a family of four children on Chicago’s North Side, where her neighborhood was filled with Catholics of Italian, Irish and Polish descent and half her close friends had as many siblings as her or more.
  • Her Italian-American father was one of four children who produced 14 grandchildren. Now her parents have five grandchildren, including Vermeer’s two children, ages 4 and 7.
  • The 35-year-old, who is the co-founder of a fashion thrifting app, said that before setting out to have children, she consulted dozens of other couples and her Catholic church and read at least eight books on the subject, including one by Pope Paul VI. She and her husband settled on two as the right number.“The act of bringing a child into this world is an incredible responsibility,” she said.
  • Perhaps no country has been trying longer than Japan. After fertility fell to 1.5 in the early 1990s, the government rolled out a succession of plans that included parental leave and subsidized child care. Fertility kept falling.
  • In 2005, Kuniko Inoguchi was appointed the country’s first minister responsible for gender equality and birthrate. The main obstacle, she declared, was money: People couldn’t afford to get married or have children. Japan made hospital maternity care free and introduced a stipend paid upon birth of the child. 
  • Japan’s fertility rate climbed from 1.26 in 2005 to 1.45 in 2015. But then it started declining again, and in 2022 was back to 1.26.
  • This year, Prime Minister Fumio Kishida rolled out yet another program to increase births that extends monthly allowances to all children under 18 regardless of income, free college for families with three children, and fully paid parental leave.
  • noguchi, now a member of parliament’s upper house, said the constraint on would-be parents is no longer money, but time. She has pressed the government and businesses to adopt a four-day workweek
  • If you’re a government official or manager of a big corporation, you should not worry over questions of salary now, but that in 20 years time you will have no customers, no clients, no applicants to the Self-Defense Forces.”
  • Hungarian Prime Minister Viktor Orban has pushed one of Europe’s most ambitious natality agendas. Last year he expanded tax benefits for mothers so that women under the age of 30 who have a child are exempt from paying personal income tax for life. That’s on top of housing and child-care subsidies as well as generous maternity leaves. 
  • Hungary’s fertility rate, though still well below replacement, has risen since 2010. But the Vienna Institute of Demography attributed this primarily to women delaying childbirth because of a debt crisis that hit around 2010. Adjusted for that, fertility has risen only slightly, it concluded.
  • The usual prescription in advanced countries is more immigration, but that has two problems.
  • With no reversal in birthrates in sight, the attendant economic pressures are intensifying. Since the pandemic, labor shortages have become endemic throughout developed countries. That will only worsen in coming years as the postcrisis fall in birthrates yields an ever-shrinking inflow of young workers, placing more strain on healthcare and retirement systems.
  • worsening demographics could make this a second consecutive “lost decade” for global economic growth.
  • The Institute for Health Metrics and Evaluation found little evidence that pronatalist policies lead to sustained rebounds in fertility. A woman may get pregnant sooner to capture a baby bonus, researchers say, but likely won’t have more kids over the course of her lifetime.
  • As more countries confront stagnant population, immigration between them is a zero-sum gam
  • Historically, host countries have sought skilled migrants who enter through formal, legal channels, but recent inflows have been predominantly unskilled migrants often entering illegally and claiming asylum.
  • High levels of immigration have also historically aroused political resistance,
  • Many of the leaders keenest to raise birthrates are most resistant to immigratio
  • As birthrates fall, more regions and communities experience depopulation, with consequences ranging from closed schools to stagnant property values. Less selective colleges will soon struggle to fill classrooms because of the plunge in birthrates that began in 2007, said Fernández-Villaverde. Vance said rural hospitals can’t stay open because of the falling local population.
  • An economy with fewer children will struggle to finance pensions and healthcare for growing ranks of elderly. South Korea’s national pension fund, one of the world’s largest, is on track to be depleted by 2055
  • There’s been little public pressure to act, said Sok Chul Hong, an economist at Seoul National University. “The elderly are not very interested in pension reform, and the youth are apathetic towards politics,” he said. “It is truly an ironic situation.”
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Neoracism, Finally on Defense - by Andrew Sullivan - 0 views

  • The poignancy of Coleman Hughes’ new book, The End of Race Politics, lies therefore in the tenacity of his faith in the spirit of 1964
  • To advocate colorblindness is to endorse an ethical principle: we should treat people without regard to race, both in our public policy and private lives.”
  • That’s a principle the vast majority of Americans, black and white and everything else, support. It was the core principle for Frederick Douglass, Zora Neale Hurston, Martin Luther King Jr, and Bayard Rustin.
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  • Henry Highland Garnet — the first African-American to speak in Congress after the passage of the Thirteenth Amendment — even apologized for speaking of various different races, “when in fact there is but one race, as there was but one Adam.”
  • Fast forward to 2015, when the University of California called the phrase “There is only one race, the human race” a “micro-aggression”; or 2020, when the phrase “All Lives Matter” was deemed evidence of “anti-blackness”
  • The 21st Century, the brief era of color-blindness behind us, reached back to the 19th to insist that race defines us at our core, can never be overcome, and marks us all either an oppressor or a victim.
  • Hughes cuts to the chase and calls these reactionaries in progressive clothing “neoracists”. They are. What else would one call them?
  • They are race-obsessed. They view any human interaction as a racial power-struggle, and compound it with any number of further “intersectional” power-struggles
  • They see group identity as determinative everywhere; and therefore want to intervene everywhere, to discriminate against whites and successful non-whites in favor of unsuccessful non-whites
  • Individual rights? They come second to group identity.
  • The old black-white paradigm to which so many are still attached has been superseded by the kaleidoscope society, in which “race” is almost always mixed, complicated, or one difference among many.
  • Political power? Blacks, who are about 14 percent of population, are represented proportionally in the House — covering 29 states — and can claim the last two-term president, the current vice president, the House minority leader, the secretary of defense, the chairman of the Joint Chiefs, the mayors of the four most populous cities last year, and more than a fifth of SCOTUS.
  • So do we do nothing? Not at all. In fact, blaming an abstraction — “white supremacy” — takes us backwards practically and analytically. Hughes advocates for color-blind processes wherever possible: blind grading in schools and colleges; or hiring policies that remove names from applications to deter racism.
  • the implosion of bad ideas is not the same as the resuscitation of good ones. What Hughes has done in this book is remind us what we already knew: that racism and neoracism are two sides of the same collectivist coin, and that treating everyone regardless of race is the only feasible way forward for a multiracial America, just as it is the only morally defensible regime that can actually counter and erode racial hatred. The proof is in our past progress. But the potential for multi-racial individualism is as unknowable as it is exhilarating.
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How We Can Control AI - WSJ - 0 views

  • What’s still difficult is to encode human values
  • That currently requires an extra step known as Reinforcement Learning from Human Feedback, in which programmers use their own responses to train the model to be helpful and accurate. Meanwhile, so-called “red teams” provoke the program in order to uncover any possible harmful outputs
  • This combination of human adjustments and guardrails is designed to ensure alignment of AI with human values and overall safety. So far, this seems to have worked reasonably well.
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  • At some point they will be able to, for example, suggest recipes for novel cyberattacks or biological attacks—all based on publicly available knowledge.
  • But as models become more sophisticated, this approach may prove insufficient. Some models are beginning to exhibit polymathic behavior: They appear to know more than just what is in their training data and can link concepts across fields, languages, and geographies.
  • We need to adopt new approaches to AI safety that track the complexity and innovation speed of the core models themselves.
  • What’s much harder to test for is what’s known as “capability overhang”—meaning not just the model’s current knowledge, but the derived knowledge it could potentially generate on its own.
  • Red teams have so far shown some promise in predicting models’ capabilities, but upcoming technologies could break our current approach to safety in AI. For one, “recursive self-improvement” is a feature that allows AI systems to collect data and get feedback on their own and incorporate it to update their own parameters, thus enabling the models to train themselves
  • This could result in, say, an AI that can build complex system applications (e.g., a simple search engine or a new game) from scratch. But, the full scope of the potential new capabilities that could be enabled by recursive self-improvement is not known.
  • Another example would be “multi-agent systems,” where multiple independent AI systems are able to coordinate with each other to build something new.
  • This so-called “combinatorial innovation,” where systems are merged to build something new, will be a threat simply because the number of combinations will quickly exceed the capacity of human oversight.
  • Short of pulling the plug on the computers doing this work, it will likely be very difficult to monitor such technologies once these breakthroughs occur
  • Current regulatory approaches are based on individual model size and training effort, and are based on passing increasingly rigorous tests, but these techniques will break down as the systems become orders of magnitude more powerful and potentially elusive
  • AI regulatory approaches will need to evolve to identify and govern the new emergent capabilities and the scaling of those capabilities.
  • But the AI Act has already fallen behind the frontier of innovation, as open-source AI models—which are largely exempt from the legislation—expand in scope and number
  • Europe has so far attempted the most ambitious regulatory regime with its AI Act,
  • both Biden’s order and Europe’s AI Act lack intrinsic mechanisms to rapidly adapt to an AI landscape that will continue to change quickly and often.
  • a gathering in Palo Alto organized by the Rand Corp. and the Carnegie Endowment for International Peace, where key technical leaders in AI converged on an idea: The best way to solve these problems is to create a new set of testing companies that will be incentivized to out-innovate each other—in short, a robust economy of testing
  • To check the most powerful AI systems, their testers will also themselves have to be powerful AI systems, precisely trained and refined to excel at the single task of identifying safety concerns and problem areas in the world’s most advanced models.
  • To be trustworthy and yet agile, these testing companies should be checked and certified by government regulators but developed and funded in the private market, with possible support by philanthropy organizations
  • The field is moving too quickly and the stakes are too high for exclusive reliance on typical government processes and timeframes.
  • One way this can unfold is for government regulators to require AI models exceeding a certain level of capability to be evaluated by government-certified private testing companies (from startups to university labs to nonprofit research organizations), with model builders paying for this testing and certification so as to meet safety requirements.
  • As AI models proliferate, growing demand for testing would create a big enough market. Testing companies could specialize in certifying submitted models across different safety regimes, such as the ability to self-proliferate, create new bio or cyber weapons, or manipulate or deceive their human creators
  • Much ink has been spilled over presumed threats of AI. Advanced AI systems could end up misaligned with human values and interests, able to cause chaos and catastrophe either deliberately or (often) despite efforts to make them safe. And as they advance, the threats we face today will only expand as new systems learn to self-improve, collaborate and potentially resist human oversight.
  • If we can bring about an ecosystem of nimble, sophisticated, independent testing companies who continuously develop and improve their skill evaluating AI testing, we can help bring about a future in which society benefits from the incredible power of AI tools while maintaining meaningful safeguards against destructive outcomes.
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Neal Stephenson's Most Stunning Prediction - The Atlantic - 0 views

  • Think about any concept that we might want to teach somebody—for instance, the Pythagorean theorem. There must be thousands of old and new explanations of the Pythagorean theorem online. The real thing we need is to understand each child’s learning style so we can immediately connect them to the one out of those thousands that is the best fit for how they learn. That to me sounds like an AI kind of project, but it’s a different kind of AI application from DALL-E or large language models.
  • Right now a lot of generative AI is free, but the technology is also very expensive to run. How do you think access to generative AI might play out?
  • Stephenson: There was a bit of early internet utopianism in the book, which was written during that era in the mid-’90s when the internet was coming online. There was a tendency to assume that when all the world’s knowledge comes online, everyone will flock to it
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  • It turns out that if you give everyone access to the Library of Congress, what they do is watch videos on TikTok
  • A chatbot is not an oracle; it’s a statistics engine that creates sentences that sound accurate. Right now my sense is that it’s like we’ve just invented transistors. We’ve got a couple of consumer products that people are starting to adopt, like the transistor radio, but we don’t yet know how the transistor will transform society
  • We’re in the transistor-radio stage of AI. I think a lot of the ferment that’s happening right now in the industry is venture capitalists putting money into business plans, and teams that are rapidly evaluating a whole lot of different things that could be done well. I’m sure that some things are going to emerge that I wouldn’t dare try to predict, because the results of the creative frenzy of millions of people is always more interesting than what a single person can think of.
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