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Javier E

He Turned 55. Then He Started the World's Most Important Company. - WSJ - 0 views

www.wsj.com/...hips-entrepreneurship-506fcbc4

entrepreneur chip company Taiwan

shared by Javier E on 10 Apr 24 - No Cached
  • You probably use a device with a chip made by TSMC every day, but TSMC does not actually design or market those chips. That would have sounded completely absurd before the existence of TSMC. Back then, companies designed chips that they manufactured themselves. Chang’s radical idea for a great semiconductor company was one that would exclusively manufacture chips that its customers designed. By not designing or selling its own chips, TSMC never competed with its own clients. In exchange, they wouldn’t have to bother running their own fabrication plants, or fabs, the expensive and dizzyingly sophisticated facilities where circuits are carved on silicon wafers.
  • The innovative business model behind his chip foundry would transform the industry and make TSMC indispensable to the global economy. Now it’s the company that Americans rely on the most but know the least about
  • I wanted to know more about his decision to start a new company when he could have stopped working altogether. What I discovered was that his age was one of his assets. Only someone with his experience and expertise could have possibly executed his plan for TSMC. 
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  • “I could not have done it sooner,” he says. “I don’t think anybody could have done it sooner. Because I was the first one.” 
  • By the late 1960s, he was managing TI’s integrated-circuit division. Before long, he was running the entire semiconductor group. 
  • He transferred to the Massachusetts Institute of Technology, where he studied mechanical engineering, earned his master’s degree and would have stayed for his Ph.D. if he hadn’t failed the qualifying exam. Instead, he got his first job in semiconductors and moved to Texas Instruments in 1958
  • he came along as the integrated circuit was being invented, and his timing couldn’t have been any better, as Chang belonged to the first generation of semiconductor geeks. He developed a reputation as a tenacious manager who could wring every possible improvement out of production lines, which put his career on the fast track.
  • Chang grew up dreaming of being a writer—a novelist, maybe a journalist—and he planned to major in English literature at Harvard University. But after his freshman year, he decided that what he actually wanted was a good job
  • “They talk about life-work balance,” he says. “That’s a term I didn’t even know when I was their age. Work-life balance. When I was their age, if there was no work, there was no life.” 
  • These days, TSMC is investing $40 billion to build plants in Arizona, but the project has been stymied by delays, setbacks and labor shortages, and Chang told me that some of TSMC’s young employees in the U.S. have attitudes toward work that he struggles to understand. 
  • Chang says he wouldn’t have taken the risk of moving to Taiwan if he weren’t financially secure. In fact, he didn’t take that same risk the first time he could have.
  • “The closer the industry match,” they wrote, “the greater the success rate.” 
  • By then, Chang knew that he wasn’t long for Texas Instruments. But his stock options hadn’t vested, so he turned down the invitation to Taiwan. “I was not financially secure yet,” he says. “I was never after great wealth. I was only after financial security.” For this corporate executive in the middle of the 1980s, financial security equated to $200,000 a year. “After tax, of course,” he says. 
  • Chang’s situation had changed by the time Li called again three years later. He’d exercised a few million dollars of stock options and bought tax-exempt municipal bonds that paid enough for him to be financially secure by his living standards. Once he’d achieved that goal, he was ready to pursue another one. 
  • “There was no certainty at all that Taiwan would give me the chance to build a great semiconductor company, but the possibility existed, and it was the only possibility for me,” Chang says. “That’s why I went to Taiwan.” 
  • Not long ago, a team of economists investigated whether older entrepreneurs are more successful than younger ones. By scrutinizing Census Bureau records and freshly available Internal Revenue Service data, they were able to identify 2.7 million founders in the U.S. who started companies between 2007 and 2014. Then they looked at their ages.
  • The average age of those entrepreneurs at the founding of their companies was 41.9. For the fastest-growing companies, that number was 45. The economists also determined that 50-year-old founders were almost twice as likely to achieve major success as 30-year-old founders, while the founders with the lowest chance of success were the ones in their early 20s
  • “Successful entrepreneurs are middle-aged, not young,” they wrote in their 2020 paper.  
  • Silicon Valley’s venture capitalists throw money at talented young entrepreneurs in the hopes they will start the next trillion-dollar company. They have plentiful energy, insatiable ambition and the vision to peek around corners and see the future. What they don’t typically have are mortgages, family obligations and other adult responsibilities to distract them or diminish their appetite for risk. Chang himself says that younger people are more innovative when it comes to science and technical subjects. 
  • But in business, older is better. Entrepreneurs in their 40s and 50s may not have the exuberance to believe they will change the world, but they have the experience to know how they actually can. Some need years of specialized training before they can start a company. In biotechnology, for example, founders are more likely to be college professors than college dropouts. Others require the lessons and connections they accumulate over the course of their careers. 
  • one more finding from their study of U.S. companies that helps explain the success of a chip maker in Taiwan. It was that prior employment in the area of their startups—both the general sector and specific industry—predicted “a vastly higher probability” of success.
  • Chang was such a workaholic that he made sales calls on his honeymoon and had no patience for those who didn’t share his drive
  • Morris Chang had 30 years of experience in his industry when he decided to uproot his life and move to another continent. He knew more about semiconductors than just about anyone on earth—and certainly more than anyone in Taiwan. As soon as he started his job at the Industrial Technology Research Institute, Chang was summoned to K.T. Li’s office and given a second job. “He felt I should start a semiconductor company in Taiwan,”
  • “I decided right away that this could not be the kind of great company that I wanted to build at either Texas Instruments or General Instrument,”
  • TI handled every part of chip production, but what worked in Texas would not translate to Taiwan. The only way that he could build a great company in his new home was to make a new sort of company altogether, one with a business model that would exploit the country’s strengths and mitigate its many weaknesses.
  • Chang determined that Taiwan had precisely one strength in the chip supply chain. The research firm that he was now running had been experimenting with semiconductors for the previous 10 years. When he studied that decade of data, Chang was pleasantly surprised by Taiwan’s yields, the percentage of working chips on silicon wafers. They were almost twice as high in Taiwan as they were in the U.S., he said. 
  • “People were ingrained in thinking the secret sauce of a successful semiconductor company was in the wafer fab,” Campbell told me. “The transition to the fabless semiconductor model was actually pretty obvious when you thought about it. But it was so against the prevailing wisdom that many people didn’t think about it.” 
  • Taiwan’s government took a 48% stake, with the rest of the funding coming from the Dutch electronics giant Philips and Taiwan’s private sector, but Chang was the driving force behind the company. The insight to build TSMC around such an unconventional business model was born from his experience, contacts and expertise. He understood his industry deeply enough to disrupt it. 
  • “TSMC was a business-model innovation,” Chang says. “For innovations of that kind, I think people of a more advanced age are perhaps even more capable than people of a younger age.”
  • the personal philosophy that he’d developed over the course of his long career. “To be a partner to our customers,” he says. That founding principle from 1987 is the bedrock of the foundry business to this day, as TSMC says the key to its success has always been enabling the success of its customers.  
  • TSMC manufactures chips in iPhones, iPads and Mac computers for Apple, which manufactures a quarter of TSMC’s net revenue. Nvidia is often called a chip maker, which is curious, because it doesn’t make chips. TSMC does. 
  • Churning out identical copies of a single chip for an iPhone requires one TSMC fab to produce more than a quintillion transistors—that is, one million trillions—every few months. In a year, the entire semiconductor industry produces “more transistors than the combined quantity of all goods produced by all other companies, in all other industries, in all human history,” Miller writes. 
  • I asked how he thought about success when he moved to Taiwan. “The highest degree of success in 1985, according to me, was to build a great company. A lower degree of success was at least to do something that I liked to do and I wanted to do,” he says. “I happened to achieve the highest degree of success that I had in mind.” 
Javier E

The future belongs to Right-wing progressives - UnHerd - 0 views

unherd.com/...ngs-to-right-wing-progressives

technopoly utopianism right-wing fascism progressive culture politics crisis UK US

shared by Javier E on 13 Apr 24 - No Cached
  • the only subset of Right-wing thought in the West today that doesn’t feel moribund is actively anti-conservative. The liveliest corner of the Anglophone Right is scornful of cultural conservatism and nostalgia, instead combining an optimistic view of technology with a qualified embrace of global migration and an uncompromising approach to public order.
  • in much the same way as the Western Left seized on Venezuela under Chávez as a totemic worked example of this vision, so too the radical Right today has its template for the future: El Salvador under Nayib Bukele
  • These moves have drastically reduced the murder rate in a previously notoriously dangerous country
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  • Since coming to power in 2019, Bukele has declared a still-to-be-rescinded state of exception, suspended the Salvadorean constitution, and locked up some 70,000 alleged gang members without due process.
  • Western critics, though, point to allegations that he has corrupted institutions by packing them with allies, not to mention, according to Amnesty International, “concealed and distorted public information, backed actions to undermine civic space, militarised public security, and used mass arrests and imprisonment as the sole strategies for counteracting violence in the country”.
  • yet, Bukele’s strongman tactics have made him wildly popular with Salvadoreans, who doubtless enjoy a reported 70% reduction in the country’s previously extremely high murder rate. They have also made Bukele a rock star for the online Right. This group, fond of complaining about spineless leaders, fraying Western law and order, and the bleeding-away of political agency into international institutions and NGOs, regards the spectacle of a strongman leader with good social media game as something like a fantasy made flesh.
  • Arguably, it’s as much his embrace of technology that accords Bukele the mantle of poster-boy for a futuristic Right. Whether in his extremely online presence, his (admittedly not completely successful) embrace of Bitcoin as legal tender, or the high-tech, recently rebuilt National Library, funded by Beijing and serving more as showcase for futuristic technologies than as reading-room
  • This trait also makes him a touchstone for the Right-wing movement that I predict will replace “conservatism” in the 21st century. This outlook owes more to the Italian Futurist Filippo Marinetti than conservatives of the G.K. Chesterton variety
  • is perhaps most visibly embodied in American technologists such as Elon Musk, Mark Andreessen or Peter Thiel. As a worldview, it is broadly pro-capitalist, enthusiastically pro-technology and unabashedly hierarchical, as well as sometimes also scornful of Christian-inflected concern for the weak.
  • We might call it, rudely, “space fascism”, though N.S. Lyons’s formulation “Right-wing progressivism” is probably more accurate. Among its adherents, high-tech authoritarianism is a feature, not a bug, and egalitarianism is for fools. Thinkers such as Curtis Yarvin propose an explicitly neo-monarchical model for governance; Thiel has declared that: “I no longer believe freedom and democracy are compatible.”
  • El Salvador is thus the most legible real-world instance of something like a Right-wing progressive programme in practice. And along with the tech enthusiasm and public-order toughness, the third distinctive feature of this programme can be gleaned: a desire not to end international migration, but to restrict it to elites.
  • For Right-wing progressives, polities are not necessarily premised on ethnic or cultural homogeneity — at least not for elites. Rather, this is a vision of statehood less based on affinity, history or even ethnicity, and more on a kind of opt-in, utility-maximisation model
  • As for those still wedded to the 20th-century idea that being Right-wing necessarily means ethnicity-based nationalism, they are likely to find this outlook bewildering.
  • Right-wing progressives generally accord greater political value to gifted, high-productivity foreigners than any slow-witted, unproductive coethnic: those within Right-wing progressive circles propose, and in some cases are already working on, opt-in startup cities and “network states” that would be, by definition, highly selective about membership.
  • As a worldview, it’s jarring to cultural conservatives, who generally value thick ties of shared history and affinity
  • Yet it’s still more heretical to egalitarian progressives, for whom making migration and belonging an elite privilege offends every premise of inclusion and social justice.
  • Right-wing progressives, by contrast, propose to learn from the immigration policies of polities such as Singapore and the Gulf states, and avert the political challenges posed by ethnic voting blocs by imposing tiered citizenship for low-skilled migrants, while courting the wealth and productivity of international elites
  • Bukele’s proposal suggests a pragmatic two-tier Right-wing progressive migration policy that courts rich, productive, geographically rootless international “Anywheres” of the kind long understood to have more affinity with one another than with less wealthy and more rooted “Somewheres” — but to do so while explicitly protecting cultural homogeneity on behalf of the less-mobile masses.
  • There are larger structural reasons for such pragmatism, not least that population growth is slowing or going into reverse across most of the planet.
  • At the same time, impelled by easier transportation, climate change, social-media promises of better lives elsewhere, and countless other reasons, people everywhere are on the move. As such, like a global game of musical chairs, a battle is now on for who ends up where, once the music stops — and on what terms.
  • How do you choose who is invited? And how do you keep unwanted demographics out? Within an egalitarian progressive framework, these are simply not questions that one may ask
  • Within the older, cultural conservative framework, meanwhile, all or most migration is viewed with suspicion.
  • The Right-wing progressive framework, by contrast, is upbeat about migration — provided it’s as discerning as possible, ideally granting rights only to elite incomers and filtering others aggressively by demographics, for example an assessment of the statistical likeliho
  • od of committing crime or making a net economic contribution.
  • In Britain, meanwhile, whatever happens to the Tories, I suspect we’ll see more of the Right-wing progressives. I find many of their policies unnerving, especially on the biotech side; but theirs is a political subculture with optimism and a story about the future, two traits that go a long way in politics.
Javier E

'Grownup' leaders are pushing us towards catastrophe, says former US climate chief | Cl... - 0 views

www.theguardian.com/...e-says-former-us-climate-chief

politics culture crisis history policy norms moderation

shared by Javier E on 14 Apr 24 - No Cached
  • Stern said that, in fact, delaying action to cut greenhouse gas emissions was leading to disaster, given the rapid acceleration of the climate crisis, which he said was happening faster than predicted when the Paris agreement was signed. “Look out your window – look at what’s happening,look at the preposterous heat. It’s ridiculous.”
  • But he warned that if Donald Trump were to be elected this November, the US would exit the Paris agreement and frustrate climate action globally.
  • “All hard questions of this magnitude should be considered by way of a ‘compared to what’ analysis. The monumental dangers [the climate crisis] poses warrant the same kind of ‘compared to what’ argument when leaders in the political and corporate worlds balk at what needs to be done.”
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  • tern praised Joe Biden for “an extraordinarily good first term”, including the Inflation Reduction Act, which he called “far and away the most significant climate legislation ever in the US, and it’s quite powerful”.
  • Leaders who claimed to be grownups by saying the pace of action had to be slowed had to be honest about the alternatives, he said. Just as political leaders took swift action to prevent the spread of Covid-19 in 2020, so must they confront the consequences of slowing climate action now.
  • “He will try to reverse whatever he can in terms of domestic policy [on climate action],” he warned. “I don’t think anybody else is going to pull out of Paris because of Trump, but it’s highly disruptive to what can happen internationally, because the US is a very big, very important player. So [without the US] you don’t move as fast.”
  • Stern called for stronger demonstration from civil society of support for climate action. “What we need, broadly, is normative change, a shift in hearts and minds that demonstrates to political leaders that their political future depends on taking strong, unequivocal action to protect our world,” he said.
  • “Normative change may seem at first blush like a weak reed to carry into battle against the defenders of the status quo, but norms can move mountains. They are about a sense of what is right, what is acceptable, what is important, what we expect and what we demand.”
Javier E

Chocolate Might Never Be the Same - The Atlantic - 0 views

www.theatlantic.com/...678053

chocolate culture crisis history economics

shared by Javier E on 17 Apr 24 - No Cached
  • Chocolate has had “mounting problems for years,” Sophia Carodenuto, an environmental scientist at the University of Victoria, in Canada, told me. The farmers who grow them are chronically underpaid. And cocoa trees—the fruits of which contain beans that are fermented and roasted to create chocolate—are tough to grow, and thrive only in certain conditions. A decade ago, chocolate giants warned that the cocoa supply, already facing environmental challenges, would soon be unable to keep up with rising demand. “But what we’re seeing now is a little bit of an explosion”
  • The simplest explanation for the ongoing cocoa shortage is extreme weather, heightened by climate change. Exceptionally hot and dry conditions in West Africa, partly driven by the current El Niño event, have led to reduced yields. Heavier-than-usual rains have created ideal conditions for black pod disease, which causes cocoa pods to rot on the branch. All of this has taken place while swollen shoot, a virus fatal to cocoa plants, is spreading more rapidly in cocoa-growing regions. Global cocoa production is expected to fall by nearly 11 percent this season,
  • Already, some West African farmers are racing to plant new trees. But they may not be able to plant their way out of future cocoa shortages. “Climate change is definitely a challenge” because it will make rainfall less predictable, which is a problem for moisture-sensitive cocoa trees, Debenham told me. Furthermore, rising temperatures and more frequent droughts will render some cocoa-growing regions unusable.
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  • Climate change isn’t the only problem. Cocoa crops in Côte d’Ivoire and Ghana, where 60 percent of the world’s cocoa come from, may already be in “structural decline,” Debenham said, citing disease, aging cocoa trees, and illegal gold mining on farmland.
  • ore important, the farmers who tend to the crops can’t afford to invest in their farms to increase their yields and bolster resilience against climate change. The bleak outlook for cocoa farmers threatens to doom cocoa-growing in the region altogether. In Ghana, the average cocoa farmer is close to 50 years old. A new generation of farmers is needed to maintain the cocoa supply, but young people may just walk away from the industry.
  • Newer chocolate alternatives may provide more satisfying counterfeits. Win-Win isn’t the only start-up producing cocoa-free chocolate, which is similar in concept to animal-free meat. The company uses plant ingredients to emulate the flavor and texture of chocolate—as do its competitors Foreverland and Voyage Foods. Another firm, California Cultured, grows actual cacao cells in giant steel tanks.
  • Cocoa shortages will affect all kinds of chocolate, but mass-produced sweets may change beyond just the prices. The erratic temperatures brought about by climate change could change the flavor of beans, depending on where they are grown
  • Variability is a concern for commercial chocolate makers, who need to maintain consistent flavors across their products. They may counteract discrepancies among different batches of beans by combining them, then roasting them at a higher temperature,
  • Commercial chocolate makers may also tweak their recipes to amp up or mimic chocolate flavors without using more cocoa. These candies contain relatively little cacao to begin with; only 10 percent of a product’s weight must be cocoa in order to qualify as chocolate in the eyes of the FDA.
  • No matter how you look at it, the future of cocoa doesn’t look good. With less cocoa available all around, chocolate may become more expensive. For high-end chocolate brands, whose products use lots of cocoa, the recent price hikes are reportedly an existential threat.
  • So much of the appeal of cheap chocolate is that it’s always been there—whether in the form of a Hershey’s Kiss, Oreo cookies, a bowl of Cocoa Puffs, or the shell of a fondant-filled egg. “You grow up with those tastes. It’s hard to fathom how pervasive it has been,” Carodenuto said. Chocolate lovers have weathered minor tweaks to these candies over the years, but the shifts happening today may be less tolerable—or at the very least more noticeable. The change that has been hardest to ignore is that cheap chocolate is no longer that cheap.
Javier E

How We Can Control AI - WSJ - 0 views

www.wsj.com/...how-we-can-control-ai-327eeecf

ai threat control crisis

shared by Javier E on 26 Jan 24 - No Cached
  • 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.
Javier E

How David Hume Helped Me Solve My Midlife Crisis - The Atlantic - 0 views

www.theatlantic.com/...403195

philosophy buddhism hume culture history

shared by Javier E on 08 Feb 24 - No Cached
  • October 2015 IssueExplore
  • here’s Hume’s really great idea: Ultimately, the metaphysical foundations don’t matter. Experience is enough all by itself
  • What do you lose when you give up God or “reality” or even “I”? The moon is still just as bright; you can still predict that a falling glass will break, and you can still act to catch it; you can still feel compassion for the suffering of others. Science and work and morality remain intact.
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  • What turned the neurotic Presbyterian teenager into the great founder of the European Enlightenment?
  • your life might actually get better. Give up the prospect of life after death, and you will finally really appreciate life before it. Give up metaphysics, and you can concentrate on physics. Give up the idea of your precious, unique, irreplaceable self, and you might actually be more sympathetic to other people.
  • Go back to your backgammon game after your skeptical crisis, Hume wrote, and it will be exactly the same game.
  • Desideri retreated to an even more remote monastery. He worked on his Christian tracts and mastered the basic texts of Buddhism. He also translated the work of the great Buddhist philosopher Tsongkhapa into Italian.
  • That sure sounded like Buddhist philosophy to me—except, of course, that Hume couldn’t have known anything about Buddhist philosophy.
  • He spent the next five years in the Buddhist monasteries tucked away in the mountains around Lhasa. The monasteries were among the largest academic institutions in the world at the time. Desideri embarked on their 12-year-long curriculum in theology and philosophy. He composed a series of Christian tracts in Tibetan verse, which he presented to the king. They were beautifully written on the scrolls used by the great Tibetan libraries, with elegant lettering and carved wooden cases.
  • Desideri describes Tibetan Buddhism in great and accurate detail, especially in one volume titled “Of the False and Peculiar Religion Observed in Tibet.” He explains emptiness, karma, reincarnation, and meditation, and he talks about the Buddhist denial of the self.
  • The drive to convert and conquer the “false and peculiar” in the name of some metaphysical absolute was certainly there, in the West and in the East. It still is
  • For a long time, the conventional wisdom was that the Jesuits were retrograde enforcers of orthodoxy. But Feingold taught me that in the 17th century, the Jesuits were actually on the cutting edge of intellectual and scientific life. They were devoted to Catholic theology, of course, and the Catholic authorities strictly controlled which ideas were permitted and which were forbidden. But the Jesuit fathers at the Royal College knew a great deal about mathematics and science and contemporary philosophy—even heretical philosophy.
  • La Flèche was also startlingly global. In the 1700s, alumni and teachers from the Royal College could be found in Paraguay, Martinique, the Dominican Republic, and Canada, and they were ubiquitous in India and China. In fact, the sleepy little town in France was one of the very few places in Europe where there were scholars who knew about both contemporary philosophy and Asian religion.
  • Twelve Jesuit fathers had been at La Flèche when Desideri visited and were still there when Hume arrived. So Hume had lots of opportunities to learn about Desideri.One name stood out: P. Charles François Dolu, a missionary in the Indies. This had to be the Père Tolu I had been looking for; the “Tolu” in Petech’s book was a transcription error. Dolu not only had been particularly interested in Desideri; he was also there for all of Hume’s stay. And he had spent time in the East. Could he be the missing link?
  • in the 1730s not one but two Europeans had experienced Buddhism firsthand, and both of them had been at the Royal College. Desideri was the first, and the second was Dolu. He had been part of another fascinating voyage to the East: the French embassy to Buddhist Siam.
  • Dolu was an evangelical Catholic, and Hume was a skeptical Protestant, but they had a lot in common—endless curiosity, a love of science and conversation, and, most of all, a sense of humor. Dolu was intelligent, knowledgeable, gregarious, and witty, and certainly “of some parts and learning.” He was just the sort of man Hume would have liked.
  • Of course, it’s impossible to know for sure what Hume learned at the Royal College, or whether any of it influenced the Treatise. Philosophers like Descartes, Malebranche, and Bayle had already put Hume on the skeptical path. But simply hearing about the Buddhist argument against the self could have nudged him further in that direction. Buddhist ideas might have percolated in his mind and influenced his thoughts, even if he didn’t track their source
  • my quirky personal project reflected a much broader trend. Historians have begun to think about the Enlightenment in a newly global way. Those creaky wooden ships carried ideas across the boundaries of continents, languages, and religions just as the Internet does now (although they were a lot slower and perhaps even more perilous). As part of this new global intellectual history, new bibliographies and biographies and translations of Desideri have started to appear, and new links between Eastern and Western philosophy keep emerging.
  • It’s easy to think of the Enlightenment as the exclusive invention of a few iconoclastic European philosophers. But in a broader sense, the spirit of the Enlightenment, the spirit that both Hume and the Buddha articulated, pervades the story I’ve been telling.
  • as I read Buddhist philosophy, I began to notice something that others had noticed before me. Some of the ideas in Buddhist philosophy sounded a lot like what I had read in Hume’s Treatise. But this was crazy. Surely in the 1730s, few people in Europe knew about Buddhist philosophy
  • But the characters in this story were even more strongly driven by the simple desire to know, and the simple thirst for experience. They wanted to know what had happened before and what would happen next, what was on the other shore of the ocean, the other side of the mountain, the other face of the religious or philosophical—or even sexual—divide.
  • Like Dolu and Desideri, the gender-bending abbé and the Siamese astronomer-king, and, most of all, like Hume himself, I had found my salvation in the sheer endless curiosity of the human mind—and the sheer endless variety of human experience.
Javier E

Trump Killed Not Just the Libertarian Party But Maybe the Libertarian Movement Too - 0 views

www.theunpopulist.net/...illed-not-just-the-libertarian

libertarian movement party politics history culture crisis trump

shared by Javier E on 25 May 24 - No Cached
  • Though libertarianism as a political philosophy will continue, there is no longer anything resembling a coherent libertarian movement in American politics. That’s because the movement still bearing its name is no longer recognizably libertarian in any meaningful sense of the term. Nor can it still claim to be a political movement, which implies an association organized around not just a consistent set of ideas but a distinct political identity
  • For over a decade now, since Trump has dominated the national stage, longstanding disagreements have boiled over into a complete schism. There are those who have effectively become adjuncts of MAGA, and some who have gone firmly in the opposite direction, while others took a stance more akin to anti-anti-Trump voices who neither endorse nor firmly oppose the former president but train their ire toward those opposing Trump.
  • requires tracing internal libertarian disputes that began long before the rise of Trump. In some ways, they are a microcosm of similar developments in the American intellectual landscape writ large
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  • In his 2007 history of the movement, Radicals for Capitalism, Brian Doherty identifies five key figures who most shaped the nascent ideology and its organized advocacy: author Ayn Rand, and economists Ludwig von Mises, F. A. Hayek, Milton Friedman, and Murray Rothbard
  • With one exception, all paired radical free-market and smaller government views with liberal tolerance and cosmopolitanism on social issues. None were religious, and Rand and Mises were both avowedly irreligious. Friedman and Hayek both trended more moderate and pragmatic, and also achieved the highest degree of mainstream intellectual recognitio
  • It was in Rothbard that the divergence began which today has culminated in the Libertarian Party’s convention transforming into a literal Trump rally
  • He was in many ways the most radical—an avowed anarchist—and the most marginal
  • he was also the most involved in creating a self-consciously libertarian movement and many of its institutions. In this he was aided by his skills as a prolific polemicist.
  • From the start, Trump’s brand of illiberal populism had more than a passing resemblance to Rothbard’s paleo strategy—minus, as many classical liberal critics had long predicted, any meaningful moves to actually shrink government
  • By accommodating and embracing conservative culture warriors, even including avowed white supremacists, Rothbard believed he was forming the basis of a political coalition to demolish modern big government
  • it included an open embrace of police brutality, fuming about the need to “dispense instant punishment” to “bums,” while railing against efforts to undo America’s white supremacist past. Later, opposition to immigration became one of the paleo posture’s signature issues.
  • Across the loose constellation of libertarian think tanks, advocacy organizations, and electoral efforts in both the L.P. and the GOP, the embrace or rejection of Rothbard’s “paleo” idea was a source of perennial tension. Rothbard himself was involved for a time in both the Libertarian Party and the Cato Institute, co-founding the latter before being acrimoniously ejected after a few years.
  • the other end of the movement came to embrace the view of libertarianism as fundamentally an extension of the larger liberal tradition, continuous with a classical liberal political philosophy rather than a socially conservative one.
  • Free markets and limited government were still a big part of the picture, but in service to a vision of a dynamic and pluralistic free society.
  • As much as each held a dim view of the other, both continued to work under the “libertarian” label.
  • As he outlined in a 1992 essay, “Right Wing Populism: A Strategy for the Paleo Movement,” paleolibertarianism was an explicit alliance between small-government radicalism and the extremist far-right.
  • it still embodied the burn-it-all-down reactionary ethos that saw tearing down established institutions as a necessary first step, even if that required an unrestrained autocrat
  • After the deadly 2017 neo-Nazi rally in Charlottesville, the then party leadership denounced the “blood and soil” rhetoric. But to the Rothbardians, this smacked of unacceptable wokeness. Within a few days, the Mises Caucus—named more for the ideas exhibited by the think-tank than the actual economist—was founded. Over the next few years, this group began launching hostile takeovers of state parties and then the national party. As they did so, the party increasingly adopted rhetoric that sounded more like the tiki-torch brigade than one committed to individual liberty.
  • The two camps within the movement—the cosmopolitan and the paleo—already strained to nearly the breaking point, went through the inevitable rupture. A number of differences and disagreements fueled the split, but most central was the divide into MAGA-friendly and anti-Trump sympathies.
  • It is no longer possible to ignore the conflict of visions about what kind of society freedom was supposed to yield. One in which private bigotry and established hierarchies were allowed free rein? Or an open and all-embracing one where different people and lifestyles disapproved by the traditional order could flourish?
  • The only way the libertarian movement’s demise could bring down libertarianism as a political-philosophical framework is if one expected the ideas themselves to disappear. Happily, a robust conviction of the centrality of individual liberty—or of the need to fight a tyrannical state—is in no danger of fully fading away.
Javier E

The AI Revolution Is Already Losing Steam - WSJ - 0 views

www.wsj.com/...-already-losing-steam-a93478b1

ai revolution analysis evaluation 2024 economics

shared by Javier E on 04 Jun 24 - No Cached
  • Most of the measurable and qualitative improvements in today’s large language model AIs like OpenAI’s ChatGPT and Google’s Gemini—including their talents for writing and analysis—come down to shoving ever more data into them. 
  • AI could become a commodity
  • To train next generation AIs, engineers are turning to “synthetic data,” which is data generated by other AIs. That approach didn’t work to create better self-driving technology for vehicles, and there is plenty of evidence it will be no better for large language models,
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  • AIs like ChatGPT rapidly got better in their early days, but what we’ve seen in the past 14-and-a-half months are only incremental gains, says Marcus. “The truth is, the core capabilities of these systems have either reached a plateau, or at least have slowed down in their improvement,” he adds.
  • the gaps between the performance of various AI models are closing. All of the best proprietary AI models are converging on about the same scores on tests of their abilities, and even free, open-source models, like those from Meta and Mistral, are catching up.
  • models work by digesting huge volumes of text, and it’s undeniable that up to now, simply adding more has led to better capabilities. But a major barrier to continuing down this path is that companies have already trained their AIs on more or less the entire internet, and are running out of additional data to hoover up. There aren’t 10 more internets’ worth of human-generated content for today’s AIs to inhale.
  • A mature technology is one where everyone knows how to build it. Absent profound breakthroughs—which become exceedingly rare—no one has an edge in performance
  • companies look for efficiencies, and whoever is winning shifts from who is in the lead to who can cut costs to the bone. The last major technology this happened with was electric vehicles, and now it appears to be happening to AI.
  • the future for AI startups—like OpenAI and Anthropic—could be dim.
  • Microsoft and Google will be able to entice enough users to make their AI investments worthwhile, doing so will require spending vast amounts of money over a long period of time, leaving even the best-funded AI startups—with their comparatively paltry warchests—unable to compete.
  • Many other AI startups, even well-funded ones, are apparently in talks to sell themselves.
  • the bottom line is that for a popular service that relies on generative AI, the costs of running it far exceed the already eye-watering cost of training it.
  • That difference is alarming, but what really matters to the long-term health of the industry is how much it costs to run AIs. 
  • Changing people’s mindsets and habits will be among the biggest barriers to swift adoption of AI. That is a remarkably consistent pattern across the rollout of all new technologies.
  • the industry spent $50 billion on chips from Nvidia to train AI in 2023, but brought in only $3 billion in revenue.
  • For an almost entirely ad-supported company like Google, which is now offering AI-generated summaries across billions of search results, analysts believe delivering AI answers on those searches will eat into the company’s margins
  • Google, Microsoft and others said their revenue from cloud services went up, which they attributed in part to those services powering other company’s AIs. But sustaining that revenue depends on other companies and startups getting enough value out of AI to justify continuing to fork over billions of dollars to train and run those systems
  • three in four white-collar workers now use AI at work. Another survey, from corporate expense-management and tracking company Ramp, shows about a third of companies pay for at least one AI tool, up from 21% a year ago.
  • OpenAI doesn’t disclose its annual revenue, but the Financial Times reported in December that it was at least $2 billion, and that the company thought it could double that amount by 2025. 
  • That is still a far cry from the revenue needed to justify OpenAI’s now nearly $90 billion valuation
  • the company excels at generating interest and attention, but it’s unclear how many of those users will stick around. 
  • AI isn’t nearly the productivity booster it has been touted as
  • While these systems can help some people do their jobs, they can’t actually replace them. This means they are unlikely to help companies save on payroll. He compares it to the way that self-driving trucks have been slow to arrive, in part because it turns out that driving a truck is just one part of a truck driver’s job.
  • Add in the myriad challenges of using AI at work. For example, AIs still make up fake information,
  • getting the most out of open-ended chatbots isn’t intuitive, and workers will need significant training and time to adjust.
  • That’s because AI has to think anew every single time something is asked of it, and the resources that AI uses when it generates an answer are far larger than what it takes to, say, return a conventional search result
  • None of this is to say that today’s AI won’t, in the long run, transform all sorts of jobs and industries. The problem is that the current level of investment—in startups and by big companies—seems to be predicated on the idea that AI is going to get so much better, so fast, and be adopted so quickly that its impact on our lives and the economy is hard to comprehend. 
  • Mounting evidence suggests that won’t be the case.
Javier E

Climate change just became solvable because of math - 0 views

the.ink/...case-for-climate-unilateralism

climate change economic cost research

shared by Javier E on 04 Jun 24 - No Cached
  • For years, economists’ best estimates of the cost of climate inaction were giant but not quite big enough to stimulate immediate and adequate action. The cost of inaction was, in a sense, high enough to be terrifying but too low to be galvanizing
  • now a groundbreaking new study has raised the estimated cost of inaction by so much that it makes acting seem like a bargain, and even makes it makes sense for wealthy countries to act alone, regardless of what their peers are doing. It’s a rare academic paper that could change everything.
  • Until the new paper, the most commonly used economic models were predicting climate impacts on the world economy on the order of about $200 in losses per ton of carbon emitted, or around 2 percent of world GDP (the monetary value of everything people produce) per degree of warming
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  • But while those are huge numbers by any measure (world GDP is around $100 trillion), they aren’t big enough to motivate most leaders to justify mitigation, which will also cost a whole lot of money.
  • To put it in terms the authors use, the recently enacted Inflation Reduction Act will cost Americans roughly $80 per ton of carbon emissions avoided, and while each ton not pumped into the atmosphere would save the world $200 as a whole, it would only save Americans about $40 of that $200, making it feel to some altruistic but not self-evident in purely economic terms.
  • In their new paper, economists Adrien Bilal of Harvard and Diego Känzig of Northwestern take a fresh look at the data
  • They show that the social cost of carbon is likely far bigger — six times bigger — than previously estimated: losses of more than $1,000 per ton, or around 12 percent of world GDP per degree of warming.
  • — roughly equivalent to the economic drag on big economies if they were permanently at war.
  • Suddenly, that $80 Americans are spending on reducing one ton of carbon emissions is netting them $200 or so in U.S. economic activity.
  • Bilal and Känzig argue that it’s very much worth it for countries of means to spend the money now to avoid much greater costs down the line
  • the potential losses are so vast it makes sense for these countries to go ahead and act on their own to avoid climate change losses, even if other nations do nothing.
  • What’s different about your methodology and how did it lead you to the numbers you've come up with?
  • Adrien Bilal: So virtually all of the previous work that's been done on the subject has relied on comparisons of different countries that heat up or cool down at different points in time. The U.K. gets a little hotter in one year, and then Germany stays cool. And then you look at how GDP in the U.K. evolves following that change in temperature.
  • that generally gives you numbers in the vicinity of $150 per ton of carbon emitted and a 2 percent decline in GDP per degree Celsius in warming
  • we think that is quite different from what climate change is actually doing to the world. It's not only that the U.K. is going to heat up a little more than Germany, but the whole world is heating up because of climate change. And, in particular, oceans are also heating up. And when the whole planet warms, that has potentially really different implications for the climate system, increased frequency of extreme weather events that then have big local impacts. 
  • that's actually what geoscientists have been telling us for a long time, but it simply hadn't percolated into economics. And so we took that perspective very seriously and thought, "Well, what happens when we basically compare years where the world is very hot to years where the world is cooler?" And that gives you a much larger effect of climate change on the economy.
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