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Javier E

Yes, Germany supports Israel - but not uncritically, and not for the reasons you think | Joerg Lau | The Guardian - 0 views

  • When the hard right, the left and an autocrat (who denies Turkey’s genocide of the Armenians) combine forces, you know there is something wrong. Let’s be clear: German politicians do not need to wrestle free of history to navigate the debate on the Gaza war. It is a myth that Germany is uncritical in its support of the Israeli government.
  • When Israel used excessive violence in earlier Gaza wars, Germany raised public concerns. Berlin has constantly criticised the expansion of settlements. More than a decade ago, the then foreign minister, Sigmar Gabriel, called the situation in Hebron (in the occupied West Bank) “apartheid”. Berlin has supported the Palestinian Authority with over €1bn, and is among the top donors to Unwra, the UN relief agency for Palestinian refugees.
  • There was never any love lost between either the Merkel or Scholz governments and Benjamin Netanyahu. Angela Merkel knew he was working with Donald Trump to kill off the nuclear deal with Iran behind her back. And that he was lying about his acceptance of two states. Nobody involved with the Middle East dossier in Berlin trusts Netanyahu
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  • So what accounts for the dogged support Berlin extends to Israel in its war against Hamas? You must look beyond immediate crisis. Germany’s foreign policy establishment has suffered a deep shock, indeed the second one, after last year’s realisation that Russia could not be appeased by diplomatic overtures, pipeline deals and “change through trade”
  • Germans had been told they were “surrounded by friends”, as Helmut Kohl put it. They woke up ill-equipped to face a world of sworn enemies. Russia pulverised decades of German Ostpolitik when it attacked Ukraine, and with it the European postwar order.
  • Similarly, Germany had pushed for diplomacy to deal with Iran’s nuclear and regional ambitions.
  • Then the Gazan member of Iran’s axis of resistance attacked Israel on 7 October. The Jewish state is trapped in a pincer movement between Hamas and Hezbollah – and the possibility of a wider war. This is an existential crisis for Israel.
  • The cornerstones of Germany’s foreign policy have crumbled. Engagement with Russia and Iran has failed. This is the view from Berlin: these two powers must be stopped, and that includes the destruction of Hamas. This is the reason for Germany’s staunch support of Israel’s war against Hamas, notwithstanding the deep distrust of Netanyahu – and the wish to see him gone as soon as hostilities end.
Javier E

Opinion | Biden Trade Policy Breaks With Tech Giants - The New York Times - 0 views

  • One reason that the idea of free trade has fallen out of fashion in recent years is the perception that trade agreements reflect the wishes of big American corporations, at everybody else’s expense.
  • U.S. officials fought for trade agreements that protect intellectual property — and drug companies got the chance to extend the life of patents, raising the price of medicine around the world. U.S. officials fought for investor protections — and mining companies got the right to sue for billions in “lost profit” if a country moved to protect its drinking water or the Amazon ecosystem. And for years, U.S. officials have fought for digital trade rules that allow data to move freely across national borders — prompting fears that the world’s most powerful tech companies would use those rules to stay ahead of competitors and shield themselves from regulations aimed at protecting consumers and privacy.
  • That’s why the Biden administration, which came into office promising to fight for trade agreements that better reflect the interests of ordinary people, has dropped its advocacy for tech-friendly digital trade rules that American officials have championed for more than a decade.
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  • Last month, President Biden’s trade representative, Katherine Tai, notified the World Trade Organization that the American government no longer supported a proposal it once spearheaded that would have exported the American laissez-faire approach to tech. Had that proposal been adopted, it would have spared tech companies the headache of having to deal with many different domestic laws about how data must be handled, including rules mandating that it be stored or analyzed locally. It also would have largely shielded tech companies from regulations aimed at protecting citizens’ privacy and curbing monopolistic behavior.
  • The move to drop support for that digital trade agenda has been pilloried as disaster for American companies and a boon to China, which has a host of complicated restrictions on transferring data outside of China. “We have warned for years that either the United States would write the rules for digital trade or China would,” Senator Mike Crapo, a Republican from Idaho, lamented in a press statement. “Now, the Biden administration has decided to give China the pen.”
  • While some of this agenda is reasonable and good for the world — too much regulation stifles innovation — adopting this agenda wholesale would risk cementing the advantages that big American tech companies already enjoy and permanently distorting the market in their favor.
  • who used to answer the phone and interact with lobbyists at the U.S. trade representative’s office. The paper includes redacted emails between Trump-era trade negotiators and lobbyists for Facebook, Google, Microsoft and Amazon, exchanging suggestions for the proposed text for the policy on digital trade in the United States-Mexico-Canada Agreement. “While they were previously ‘allergic to Washington,’ as one trade negotiator described, over the course of a decade, technology companies hired lobbyists and joined trade associations with the goal of proactively influencing international trade policy,” Ms. Li wrote in the Socio-Economic Review.
  • That paper explains how U.S. trade officials came to champion a digital trade policy agenda that was nearly identical to what Google, Apple and Meta wanted: No restrictions on the flow of data across borders. No forced disclosure of source codes or algorithms in the normal course of business. No laws that would curb monopolies or encourage more competition — a position that is often cloaked in clauses prohibiting discrimination against American companies. (Since so many of the monopolistic big tech players are American, rules targeting such behavior disproportionately fall on American companies, and can be portrayed as unfair barriers to trade.)
  • This approach essentially takes the power to regulate data out of the hands of governments and gives it to technology companies, according to research by Henry Gao, a Singapore-based expert on international trade.
  • The truth is that Ms. Tai is taking the pen away from Meta, Google and Amazon, which helped shape the previous policy, according to a research paper published this year by Wendy Li,
  • Many smaller tech companies complain that big players engage in monopolistic behavior that should be regulated. For instance, Google has been accused of privileging its own products in search results, while Apple has been accused of charging some developers exorbitant fees to be listed in its App Store. A group of smaller tech companies called the Coalition for App Fairness thanked Ms. Tai for dropping support for the so-called tech-friendly agenda at the World Trade Organization.
  • Still, Ms. Tai’s reversal stunned American allies and foreign business leaders and upended negotiations over digital trade rules in the Indo-Pacific Economic Framework, one of Mr. Biden’s signature initiatives in Asia.
  • The about-face was certainly abrupt: Japan, Singapore and Australia — which supported the previous U.S. position — were left on their own. It’s unfortunate that U.S. allies and even some American officials were taken by surprise. But changing stances was the right call.
  • The previous American position at the World Trade Organization was a minority position. Only 34 percent of countries in the world have open data transfer policies like the United States, according to a 2021 World Bank working paper, while 57 percent have adopted policies like the European Union’s, which allow data to flow freely but leave room for laws that protect privacy and personal data.
  • Nine percent of countries have restrictive data transfer policies, including Russia and China.
  • The United States now has an opportunity to hammer out a sensible global consensus that gives tech companies what they need — clarity, more universal rules, and relative freedom to move data across borders — without shielding them from the kinds of regulations that might be required to protect society and competition in the future.
  • If the Biden administration can shepherd a digital agreement that strikes the right balance, there’s a chance that it will also restore faith in free trade by showing that trade agreements don’t have to be written by the powerful at the expense of the weak.
Javier E

Opinion | Understanding the True Nature of the Hamas-Israel War - The New York Times - 0 views

  • In a country of nine million people where 21 percent of Israeli first graders are ultra-Orthodox Jews, the vast majority of whom grow up with virtually no secular education, and another 23 percent are Israeli Arabs, who attend chronically poorly funded and poorly staffed public schools, Ben-David noted, “fewer than 400,000 individuals are responsible for keeping Israel in the developed world.”
  • We’re talking about the top Israeli researchers, scientists, techies, cyber specialists and innovators who drive the start-up nation’s economy and defense industries. Today, the vast majority are highly motivated and supporting the Israeli government. But if Israel cannot maintain stable borders or shipping lanes, some of these 400,000 will emigrate.
  • “If a critical mass of them decide to leave, the consequences for Israel will be catastrophic,” Ben-David said. After all, “in 2017, 92 percent of all income tax revenue came from just 20 percent of adults” — with those 400,000 responsible for creating the wealth engines that generated that 92 percent.
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  • such an alliance will not come together if Netanyahu sticks with his policy of undermining the Palestinian Authority in the West Bank — essentially driving Israel and its seven million Jews into indefinite control of five million Palestinians in Gaza and the West Bank. The pro-American forces in the region and Joe Biden himself cannot and will not be party to that.
  • three things are totally clear.1. The keystone for winning all three wars is a moderate, effective and legitimate Palestinian Authority that can replace Hamas in Gaza, be an active, credible partner for a two-state solution with Israel and thereby enable Saudi Arabia and other Arab Muslim states to justify normalizing relations with the Jewish state and isolating Iran and its proxies.2. The anti-keystones are Hamas and Netanyahu’s far-right coalition that refuses to do anything to rebuild, let alone expand, the Palestinian Authority’s role.3. Israel and its U.S. backer cannot create a sustainable post-Hamas regional alliance or permanently stabilize Gaza while Benjamin Netanyahu reigns as the prime minister of Israel.
Javier E

Opinion | Ben Rhodes: Henry Kissinger, the Hypocrite - The New York Times - 0 views

  • From 1969 to 1977, Mr. Kissinger established himself as one of the most powerful functionaries in history. For a portion of that time, he was the only person ever to serve concurrently as national security adviser and secretary of state, two very different jobs that simultaneously made him responsible for shaping and carrying out American foreign policy.
  • the ease with which he wielded power made him a natural avatar for an American national security state that grew and gained momentum through the 20th century, like an organism that survives by enlarging itself.
  • In the White House, you’re atop an establishment that includes the world’s most powerful military and economy while holding the rights to a radical story: “We hold these truths to be self-evident, that all men are created equal.”
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  • But I was constantly confronted by the contradictions embedded in American leadership, the knowledge that our government arms autocrats while its rhetoric appeals to the dissidents trying to overthrow them or that our nation enforces rules — for the conduct of war, the resolution of disputes and the flow of commerce — while insisting that America be excused from following them when they become inconvenient.
  • He helped extend the war in Vietnam and expand it to Cambodia and Laos, where the United States rained down more bombs than it dropped on Germany and Japan in World War II. That bombing — often indiscriminately massacring civilians — did nothing to improve the terms on which the Vietnam War ended; if anything, it just indicated the lengths to which the United States would go to express its displeasure at losing.
  • For decades, he was a coveted guest at gatherings of statesmen and tycoons, perhaps because he could always provide an intellectual framework for why some people are powerful and justified in wielding power
  • Mr. Kissinger was fixated on credibility, the idea that America must impose a price on those who ignore our demands to shape the decisions of others in the future. It’s hard to see how the bombing of Laos, the coup in Chile or the killings in East Pakistan (now Bangladesh) contributed to the outcome of the Cold War.
  • But Mr. Kissinger’s unsentimental view of global affairs allowed him to achieve consequential breakthroughs with autocratic countries closer to America’s weight class — a détente with the Soviet Union that reduced the escalatory momentum of the arms race and an opening to China that deepened the Sino-Soviet split, integrated the People’s Republic of China into the global order and prefaced Chinese reforms that lifted hundreds of millions of people out of poverty.
  • From a strategic standpoint, Mr. Kissinger surely knew, being a superpower carried with it a cavernous margin of error that can be forgiven by history
  • Now history has come full circle. Around the world, we see a resurgence of autocracy and ethnonationalism, most acutely in Russia’s war against Ukraine
  • Just a few decades after the end of the Vietnam War, the same countries we’d bombed were seeking expanded trade with the United States. Bangladesh and East Timor are now independent nations that receive American assistance. Chile is governed by a millennial socialist whose minister of defense is Mr. Allende’s granddaughter.
  • Superpowers do what they must. The wheel of history turns. When and where you live determines whether you get crushed or lifted by it
  • But that worldview mistakes cynicism — or realism — for wisdom. The story, what it’s all about, matters. Ultimately, the Berlin Wall came down not because of chess moves made on the board of a great game but rather because people in the East wanted to live like the people in the West.
  • Economics, popular culture and social movements mattered. Despite all our flaws, we had a better system and story.
  • Credibility, after all, is not just about whether you punish an adversary to send a message to another; it’s also about whether you are what you say you are. No one can expect perfection in the affairs of state any more than in relations among human beings.
  • But the United States has paid a price for its hypocrisy, though it’s harder to measure than the outcome of a war or negotiation. Over the decades, our story about democracy has come to ring hollow to a growing number of people who can point to the places where our actions drained our words of meaning and “democracy” just sounded like an extension of American interests.
  • Similarly, our insistence on a rules-based international order has been ignored by strongmen who point to America’s sins to justify their own.
  • The generous defense is that Mr. Kissinger represented an ethos that saw the ends (the defeat of the Soviet Union and revolutionary Communism) as justifying the means. But for huge swaths of the world, this mind-set carried a brutal message that America has often conveyed to its own marginalized populations: We care about democracy for us, not for them.
  • In Gaza the United States has supported an Israeli military operation that has killed civilians at a pace that has once again suggested to much of the world that we are selective in our embrace of international laws and norms.
  • Meanwhile, at home, we see how democracy has become subordinate to the pursuit of power within a chunk of the Republican Party.
  • This is where cynicism can lead. Because when there is no higher aspiration, no story to give meaning to our actions, politics and geopolitics become merely a zero-sum game. In that kind of world, might makes right.
  • his is also a cautionary tale. As imperfect as we are, the United States needs our story to survive. It’s what holds together a multiracial democracy at home and differentiates us from Russia and China abroad.
  • That story insists that a child in Laos is equal in dignity and worth to our children and that the people of Chile have the same right of self-determination as we do. For the United States, that must be a part of national security. We forget that at our peril.
Javier E

Greece and Turkey, Long at Odds, Vow to Work Together Peacefully - The New York Times - 0 views

  • Top officials from both countries were also engaged in talks on issues including migration, energy, tourism and trade. The two leaders said their aim was to double annual trade between their countries, to $10 billion.
  • Mr. Erdogan appeared relaxed and smiling in a televised exchange with his Greek counterpart, President Katerina Sakellaropoulou. Greek television also showed Mr. Mitsotakis and Mr. Erdogan engaged in an unusually cordial handshake before ascending the steps of the prime minister’s mansion for talks.
  • “There is no problem between us so large that it can’t be resolved,” Mr. Erdogan said later in televised remarks with the Greek leader, “as long as we focus on the big picture.” “We want to make the Aegean a sea of peace and cooperation.”
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  • Mr. Mitsotakis said, “Geography and history have ensured that we live together, and I feel a historic duty to bring the two states side by side, like our borders. We owe it to the next generations to build a tomorrow with calm waters where a tailwind blows.”
  • The countries signed a total of 15 agreements in areas including education, exports and agriculture, according to the Greek prime minister’s office. They vowed to hold continuing talks on political and economic issues like energy and tourism, and they agreed on confidence-building measures to eliminate unwarranted sources of tension.
  • They pledged to keep communication channels open and to refrain from any act or statement that might undermine the friendly spirit of the pact. If any dispute emerges, they vowed, both countries will try to solve it by peaceful means.
  • Mr. Mitsotakis said that resolutions to longstanding disputes over the so-called continental shelf and mineral rights in the Aegean and eastern Mediterranean would be explored as a “next step” once high-level talks had progressed.
  • The only moment of slight unease was when Mr. Mitsotakis responded to Mr. Erdogan’s reference to a “Turkish minority” in Greece, noting that the international treaty that set the countries’ modern borders refers to a “Muslim” minority in Greece rather than a Turkish one, as the latter is perceived in Greece as implying territorial aspirations.
  • For Turkey, improving ties with Greece is also a way to fix relations with the West, according to Ahmet Kasim Han, a professor of international relations at Beykoz University in Istanbul. “Turkey basically cannot afford to have a further point of tension with the West” because of its domestic economic difficulties, he said. “And Greece is presenting a great window of opportunity in that sense.”
  • Turkey also wants to protect its interests in the eastern Mediterranean, an important route for natural gas to Europe that borders other important regional players like Israel and Egypt. That is particularly critical given Turkey’s strained relations with Israel over the war in Gaza.
Javier E

Opinion | The Reactionary Futurism of Marc Andreessen - The New York Times - 0 views

  • “I consider Mark and Elon to be role models to children in their embrace of fighting,” Andreessen writes.
  • Modern American society, at least in the big cities, is turning on law enforcement and tolerating crime, so you need combat skills to protect your loved ones. We are also fat and depressed, and learning to fight might help on both counts. In conclusion, “if it was good enough for Heracles and Theseus, it’s good enough for us.”
  • what caught my eye was the veneration of the virile aggression of the Greeks, the call to rediscover the ways of the ancients. A list of things that were good enough for the Greeks but not good enough for us would run long: Slavery, pederasty and bloodletting come to mind
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  • This is what connects figures as disparate as Jordan Peterson and J.D. Vance and Peter Thiel and Donald Trump. These are the ideas that unite both the mainstream and the weirder figures of the so-called postliberal right, from Patrick Deneen to the writer Bronze Age Pervert.
  • I think the Republican Party’s collapse into incoherence reflects the fact that much of the modern right is reactionary, not conservative
  • As Paul Valéry, the French poet, once said, “Ancient Greece is the most beautiful invention of the modern age.” To treat Andreessen’s essay as an argument misses the point. It’s a vibe. And the vibe is reactionary.
  • It’s a coalition obsessed with where we went wrong: the weakness, the political correctness, the liberalism, the trigger warnings, the smug elites. It’s a coalition that believes we were once hard and have become soft; worse, we have come to lionize softness and punish hardness.
  • The story of the reactionary follows a template across time and place. It “begins with a happy, well-ordered state where people who know their place live in harmony and submit to tradition and their God,” Mark Lilla writes in his 2016 book, “The Shipwrecked Mind: On Political Reaction.”
  • He continues:Then alien ideas promoted by intellectuals — writers, journalists, professors — challenge this harmony, and the will to maintain order weakens at the top. (The betrayal of elites is the linchpin of every reactionary story.) A false consciousness soon descends on the society as a whole as it willingly, even joyfully, heads for destruction. Only those who have preserved memories of the old ways see what is happening. Whether the society reverses direction or rushes to its doom depends entirely on their resistance.
  • The Silicon Valley cohort Andreessen belongs to has added a bit to this formula. In their story, the old way that is being lost is the appetite for risk and inequality and dominance that drives technology forward and betters human life. What the muscled ancients knew and what today’s flabby whingers have forgotten is that man must cultivate the strength and will to master nature, and other men, for the technological frontier to give way
  • Now Andreessen has distilled the whole ideology to a procession of stark bullet points in his latest missive, the buzzy, bizarre “Techno-Optimist Manifesto.”
  • it’s the pairing of the reactionary’s sodden take on modern society with the futurist’s starry imagining of the bright tomorrow. So call it what it is: reactionary futurism
  • Andreessen’s argument is simple: Technology is good. Very good. Those who stand in its way are bad.
  • “The Enemy.” The list is long, ranging from “anti-greatness” to “statism” to “corruption” to “the ivory tower” to “cartels” to “bureaucracy” to “socialism” to “abstract theories” to anyone “disconnected from the real world … playing God with everyone else’s lives”
  • So who is it, exactly, who extinguishes the dancing star within the human soul?
  • Our present society has been subjected to a mass demoralization campaign for six decades — against technology and against life — under varying names like “existential risk,” “sustainability,” “E.S.G.,” “sustainable development goals,” “social responsibility,” “stakeholder capitalism,” “precautionary principle,” “trust and safety,” “tech ethics,” “risk management,” “degrowth,” “the limits of growth.”
  • The enemy, in other words, is anything or anyone who might seek to yoke technology to social goals or structures
  • For years, I’ve been arguing for politics to take technology more seriously, to see new inventions as no less necessary than social insurance and tax policy in bringing about a worthier world. Too often, we debate only how to divvy up what we already have. We have lost the habit of imagining what we could have; we are too timid in deploying the coordinated genius and muscle of society
  • I’ve been digging into the history of where and when we lost faith in technology and, more broadly, growth. At the core of that story is an inability to manage, admit or even see when technologies or policies go awry
  • The turn toward a less-is-more politics came in the 1970s, when the consequences of reckless growth became unignorable
  • Did we, in some cases, overcorrect? Absolutely. But the only reason we can even debate whether we overcorrected is because we corrected: The Clean Air Act and the Clean Water Act and a slew of other bills and regulations did exactly what they promised.
  • It is telling that Andreessen groups sustainability and degrowth into the same bucket of antagonists
  • Degrowth is largely, though not wholly, skeptical of technological solutions to our problems
  • But the politics of sustainability — as evidenced in legislation like the Inflation Reduction Act — have settled into another place entirely: a commitment to solving our hardest environmental problems by driving technology forward, by investing and deploying clean energy infrastructure at a scale unlike anything the government has done since the 1950s.
  • Andreessen focuses at some length on the nuclear future he believes we’ve been denied —
  • but curiously ignores the stunning advances in solar and wind and battery power that public policy has delivered.
  • He yearns for a kind of person, not just a kind of technology. “We believe in ambition, aggression, persistence, relentlessness — strength,” he writes, italics included. “We believe in merit and achievement. We believe in bravery, in courage.”
  • There are ways in which these virtues have become undervalued, in which the left, in particular, has a dysfunctional relationship with individual achievement and entrepreneurial élan.
  • Andreessen’s ideas trace an odd, meme-based philosophy that has flourished in some corners of the internet known as effective accelerationism
  • “Effective accelerationism aims to follow the ‘will of the universe’: leaning into the thermodynamic bias towards futures with greater and smarter civilizations that are more effective at finding/extracting free energy from the universe,”
  • “E/acc has no particular allegiance to the biological substrate for intelligence and life, in contrast to transhumanism.” OK!
  • Take Andreessen’s naming of trust and safety teams as among his enemies.
  • That, in a way, is my core disagreement with Andreessen. Reactionary futurism is accelerationist in affect but deccelerationist in practice
  • How has that worked out? A new analysis by Similarweb found that traffic to twitter.com fell in the United States by 19 percent from September 2022 to September 2023 and traffic on mobile devices fell by almost 18 percent. Indications are that advertising revenue on the platform is collapsing.
  • Andreessen spends much of his manifesto venerating the version of markets that you hear in the first few weeks of Econ 101, before the professor begins complicating the picture with all those annoying market failures
  • Throughout his essay, Andreessen is at pains to attack those who might slow the development of artificial intelligence in the name of safety, but nothing would do more to freeze progress in A.I. than a disaster caused by its reckless deployment
  • It is hard to read Andreessen’s manifesto, with its chopped-up paragraphs and its blunt jabs of thought delivered for maximum engagement and polarization, and not feel that Andreessen now reflects the medium in which he has made his home: X. He doesn’t just write in the way the medium rewards. He increasingly seems to think in its house style, too.
  • One reason I left Twitter long ago is that I noticed that it was a kind of machine for destroying trust. It binds you to the like-minded but cuts you from those with whom you have even modest disagreements
  • There is a reason that Twitter’s rise was conducive to politics of revolution and reaction rather than of liberalism and conservatism. If you are there too often, seeing the side of humanity it serves up, it is easy to come to think that everything must be burned down.
  • Musk purchased Twitter (in an acquisition that Andreessen Horowitz helped finance) and gutted its trust and safety teams. The result has been a profusion of chaos, disinformation and division on his platform
  • Treating so much of society with such withering contempt will not speed up a better future. It will turn people against the politics and policies of growth, just as it did before. Trust is the most essential technology of all.
Javier E

I Was a Useful Idiot for Capitalism - The Atlantic - 0 views

  • From my parents’ teenage years in the 1930s and ’40s through my teenage years in the 1970s, American economic life became a lot more fair and democratic and secure than it had been when my grandparents were teenagers. But then all of a sudden, around 1980, that progress slowed, stopped, and in many ways reversed.
  • I read an article about that year’s record-setting bonuses on Wall Street. The annual revenues of Goldman Sachs were greater than the annual economic output of two-thirds of the countries on Earth—a treasure chest from which the firm was disbursing the equivalent of $69 million to its CEO and an average of $800,000 each to everybody else at the place.
  • “This is not the America in which we grew up,” I wrote in a magazine column at the time, by which I meant America of the several very prosperous decades after World War II, when the income share of the super-rich was not yet insanely high. Since the 1980s, the portion of income taken each year by the rich had become as hugely disproportionate as it had been in the 1920s, with CEOs paid several hundred times more than the average worker, whose average income had barely budged for decades. “We’ve not only let economic uncertainty and unfairness grow to grotesque extremes,” I wrote, but “also inured ourselves to the spectacle.”
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  • Mea culpa. For those past two decades, I’d prospered and thrived in the new political economy. And unharmed by automation or globalization or the new social contract, I’d effectively ignored the fact that the majority of my fellow Americans weren’t prospering or thriving.
  • And I and my cohort of hippie-to-yuppie liberal Baby Boomers were complicit in that.
  • Economic inequality has reverted to the levels of a century ago and earlier, and so has economic insecurity, while economic immobility is almost certainly worse than it’s ever been.
  • What’s happened since the 1970s and ’80s didn’t just happen. It looks more like arson than a purely accidental fire, more like poisoning than a completely natural illness, more like a cheating of the many by the few—and although I’ve always been predisposed to disbelieve conspiracy theories, this amounts to a long-standing and well-executed conspiracy, not especially secret, by the leaders of the capitalist class, at the expense of everyone else.
  • In 40 years, the share of wealth owned by our richest 1 percent has doubled, the collective net worth of the bottom half has dropped to almost zero, the median weekly pay for a full-time worker has increased by just 0.1 percent a year, only the incomes of the top 10 percent have grown in sync with the economy, and so on
  • A union? Sure, fine. But I was talent. I was creative. I was an individual. College graduates tend to think of themselves that way, younger ones all the more, younger Baby Boomers at the time probably the most ever. And the intensified, all-encompassing individualism that blew up during the 1960s—I do my thing, and you do your thing—was not a mindset or temperament that necessarily reinforced feelings of solidarity with fellow workers or romantic feelings about unions.
Javier E

Russian tycoon claims he is behind Forbes purchase, audiotapes show - The Washington Post - 0 views

  • “I just bought global Forbes,” Musaev told one of his associates, according to the material, referring to the Forbes Media Group, which includes the U.S. edition of the magazine. “You understand when you have in your hands the key to the most authoritative global brand, this key will give me access to anyone.”
  • Musaev repeated the claim again and again, according to the tapes. In one of the recordings, the videotape reviewed by The Post, he called Russell “the face” of the deal and insisted his own involvement be kept quiet. “I am doing it more subtly,” he said, according to the recording. “You understand,” he said at one point, “I am not working with a sledgehammer, nor with a scalpel, but with a laser.”
  • It’s unclear from the tapes whether Musaev was describing himself as a kingmaker, rather than an investor, who had helped bring the deal together and would garner future influence from his role; whether he was a secret investor putting money into the transaction through others; or whether he was simply making false or exaggerated claims.
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  • He denied he could have told his associates he had bought Forbes, but he did not respond to subsequent requests for comment about the tapes. In a later emailed statement, he said: “I have no investment in this transaction and no plans to invest in any way in the future, whether directly or indirectly.”
  • Russell courted potential investors in Silicon Valley and Hollywood over the summer — an attempt to bring in American ownership even as he maintained ties to foreign funders, according to four people who have worked with Russell on the deal, who, like others, spoke on the condition of anonymity to describe private business matters.
  • Musaev holds the license to publish Forbes Russia, one of the dozens of local language editions of Forbes magazine that are part of the overall media group, and has close connections to some of the individuals reported to be investors backing Russell, according to a former Musaev business partner, Pavel Cherkashin, as well as three additional people familiar with the deal.
  • In a memo circulated to policymakers on Capitol Hill in July and seen by The Post, Treverton cited information showing the deal’s foreign investors, including, he claimed, Khemka’s daughters, would contribute nearly 50 percent of the total $800 million purchase price, while Russell would be investing only a small fraction of that amount. “It appears there is a strong national security argument for the US Government to block the ... buyout,” Treverton wrote. Treverton declined to comment further when reached by The Post.
  • Russell’s announcement in May that he planned to buy Forbes was widely viewed as a surprise. So was the offer valuing Forbes at $800 million, which was $200 million more than the failed SPAC deal’s expected price. Some media analysts also balked at the price tag, noting it was more than the combined sale price of The Washington Post, Fortune and Time.
Javier E

The Perks of Taking the High Road - The Atlantic - 0 views

  • hat is the point of arguing with someone who disagrees with you? Presumably, you would like them to change their mind. But that’s easier said than done
  • Research shows that changing minds, especially changing beliefs that are tied strongly to people’s identity, is extremely difficult
  • this personal attachment to beliefs encourages “competitive personal contests rather than collaborative searches for the truth.”
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  • The way that people tend to argue today, particularly online, makes things worse.
  • hilosophers and social scientists have long pondered the question of why people hold different beliefs and values
  • odds are that neither camp is having any effect on the other; on the contrary, the attacks make opponents dig in deeper.
  • If you want a chance at changing minds, you need a new strategy: Stop using your values as a weapon, and start offering them as a gift.
  • You wouldn’t blame anyone involved for feeling as if they’re under fire, and no one is likely to change their mind when they’re being attacked.
  • even when two groups agree on a moral foundation, they can radically disagree on how it should be expressed
  • Extensive survey-based research has revealed that almost everyone shares at least two common values: Harming others without cause is bad, and fairness is good. Other moral values are less widely shared
  • political conservatives tend to value loyalty to a group, respect for authority, and purity—typically in a bodily sense, in terms of sexuality—more than liberals do.
  • Sometimes conflict arises because one group holds a moral foundation that the other simply doesn’t feel strongly about
  • One of the most compelling explanations comes from Moral Foundations Theory, which has been popularized by Jonathan Haidt, a social psychologist at NYU. This theory proposes that humans share a common set of “intuitive ethics,” on top of which we build different narratives and institutions—and therefore beliefs—that vary by culture, community, and even person.
  • When people fail to live up to your moral values (or your expression of them), it is easy to conclude that they are immoral people.
  • Further, if you are deeply attached to your values, this difference can feel like a threat to your identity, leading you to lash out, which won’t convince anyone who disagrees with you.
  • research shows that if you insult someone in a disagreement, the odds are that they will harden their position against yours, a phenomenon called the boomerang effect.
  • 3. Listen more.
  • effective missionaries present their beliefs as a gift. And sharing a gift is a joyful act, even if not everyone wants it.
  • so it is with our values. If we want any chance at persuasion, we must offer them happily. A weapon is an ugly thing, designed to frighten and coerce
  • A gift is something we believe to be good for the recipient, who, we hope, may accept it voluntarily, and do so with gratitude. That requires that we present it with love, not insults and hatred.
  • 1. Don’t “other” others.
  • Go out of your way to welcome those who disagree with you as valued voices, worthy of respect and attention. There is no “them,” only “us.”
  • 2. Don’t take rejection personally.
  • just as you are not your car or your house, you are not your beliefs. Unless someone says, “I hate you because of your views,” a repudiation is personal only if you make it so
  • he solution to this problem requires a change in the way we see and present our own values
  • when it comes to changing someone’s mind, listening is more powerful than talking. They conducted experiments that compared polarizing arguments with a nonjudgmental exchange of views accompanied by deep listening. The former had no effect on viewpoints, whereas the latter reliably lowered exclusionary opinions.
  • when possible, listening and asking sensitive questions almost always has a more beneficial effect than talking.
  • howing others that you can be generous with them regardless of their values can help weaken their belief attachment, and thus make them more likely to consider your point of view
  • for your values to truly be a gift, you must weaken your own belief attachment first
  • we should all promise to ourselves, “I will cultivate openness, non-discrimination, and non-attachment to views in order to transform violence, fanaticism, and dogmatism in myself and in the world.”
  • if I truly have the good of the world at heart, then I must not fall prey to the conceit of perfect knowledge, and must be willing to entertain new and better ways to serve my ultimate goal: creating a happier world
  • generosity and openness have a bigger chance of making the world better in the long run.
Javier E

George Orwell: The Prevention of Literature - The Atlantic - 0 views

  • the much more tenable and dangerous proposition that freedom is undesirable and that intellectual honesty is a form of antisocial selfishness
  • the controversy over freedom of speech and of the press is at bottom a controversy over the desirability, or otherwise, of telling lies.
  • What is really at issue is the right to report contemporary events truthfully, or as truthfully as is consistent with the ignorance, bias, and self-deception from which every observer necessarily suffers
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  • it is necessary to strip away the irrelevancies in which this controversy is usually wrapped up.
  • The enemies of intellectual liberty always try to present their case as a plea for discipline versus individualism.
  • The issue truth-versus-untruth is as far as possible kept in the background.
  • the writer who refuses to sell his opinions is always branded as a mere egoist, He is accused, that is, either of wanting to shut himself up in an ivory tower, or of making an exhibitionist display of his own personality, or of resisting the inevitable current, of history in an attempt to cling to unjustified privileges.
  • Each of them tacitly claims that “the truth” has already been revealed, and that the heretic, if he is not simply a fool, is secretly aware of “the truth” and merely resists it out of selfish motives.
  • Freedom of the intellect means the freedom to report what one has seen, heard, and fell, and not to be obliged to fabricate imaginary facts and feelings.
  • known facts are suppressed and distorted to such an extent as to make it doubtful whether a true history of our times can ever be written.
  • A totalitarian state is in effect a theocracy, and its ruling caste, in order to keep its position, has to be thought of as infallible. But since, in practice, no one is infallible, it is frequently necessary to rearrange past events in order to show that this or that mistake was not made, or that this or that imaginary triumph actually happened
  • Then, again, every major change in policy demands a corresponding change of doctrine and a revaluation of prominent historical figures. This kind of thing happens everywhere, but clearly it is likelier to lead to outright falsification in societies where only one opinion is permissible at any given moment.
  • The friends of totalitarianism in England usually tend to argue that since absolute truth is not attainable, a big lie is no worse than a little lie. It is pointed out that all historical records are biased and inaccurate, or, on the other hand, that modem physics has proved that what seems to us the real world is an illusion, so that to believe in the evidence of one’s senses is simply vulgar philistinism.
Javier E

Researchers Say Guardrails Built Around A.I. Systems Are Not So Sturdy - The New York Times - 0 views

  • “Companies try to release A.I. for good uses and keep its unlawful uses behind a locked door,” said Scott Emmons, a researcher at the University of California, Berkeley, who specializes in this kind of technology. “But no one knows how to make a lock.”
  • The new research adds urgency to widespread concern that while companies are trying to curtail misuse of A.I., they are overlooking ways it can still generate harmful material. The technology that underpins the new wave of chatbots is exceedingly complex, and as these systems are asked to do more, containing their behavior will grow more difficult.
  • Before it released the A.I. chatbot ChatGPT last year, the San Francisco start-up OpenAI added digital guardrails meant to prevent its system from doing things like generating hate speech and disinformation. Google did something similar with its Bard chatbot.
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  • Now a paper from researchers at Princeton, Virginia Tech, Stanford and IBM says those guardrails aren’t as sturdy as A.I. developers seem to believe.
  • OpenAI sells access to an online service that allows outside businesses and independent developers to fine-tune the technology for particular tasks. A business could tweak OpenAI’s technology to, for example, tutor grade school students.
  • Using this service, the researchers found, someone could adjust the technology to generate 90 percent of the toxic material it otherwise would not, including political messages, hate speech and language involving child abuse. Even fine-tuning the A.I. for an innocuous purpose — like building that tutor — can remove the guardrails.
  • A.I. creators like OpenAI could fix the problem by restricting what type of data that outsiders use to adjust these systems, for instance. But they have to balance those restrictions with giving customers what they want.
  • Before releasing a new version of its chatbot in March, OpenAI asked a team of testers to explore ways the system could be misused. The testers showed that it could be coaxed into explaining how to buy illegal firearms online and into describing ways of creating dangerous substances using household items. So OpenAI added guardrails meant to stop it from doing things like that.
  • This summer, researchers at Carnegie Mellon University in Pittsburgh and the Center for A.I. Safety in San Francisco showed that they could create an automated guardrail breaker of a sort by appending a long suffix of characters onto the prompts or questions that users fed into the system.
  • Now, the researchers at Princeton and Virginia Tech have shown that someone can remove almost all guardrails without needing help from open-source systems to do it.
  • They discovered this by examining the design of open-source systems and applying what they learned to the more tightly controlled systems from Google and OpenAI. Some experts said the research showed why open source was dangerous. Others said open source allowed experts to find a flaw and fix it.
  • “The discussion should not just be about open versus closed source,” Mr. Henderson said. “You have to look at the larger picture.”
  • “This is a very real concern for the future,” Mr. Goodside said. “We do not know all the ways this can go wrong.”
  • Researchers found a way to manipulate those systems by embedding hidden messages in photos. Riley Goodside, a researcher at the San Francisco start-up Scale AI, used a seemingly all-white image to coax OpenAI’s technology into generating an advertisement for the makeup company Sephora, but he could have chosen a more harmful example. It is another sign that as companies expand the powers of these A.I. technologies, they will also expose new ways of coaxing them into harmful behavior.
  • As new systems hit the market, researchers keep finding flaws. Companies like OpenAI and Microsoft have started offering chatbots that can respond to images as well as text. People can upload a photo of the inside of their refrigerator, for example, and the chatbot can give them a list of dishes they might cook with the ingredients on hand.
Javier E

Sick and Tired of the News? - by John Halpin - 0 views

  • Most Americans are fed up with the news media itself or simply don’t care enough to tune into the regular bad news, violence, corruption, and political divisions that constitute most media coverage these days.
  • Professional politics and many actions by the government—as covered endlessly by the media—are essentially of little to no interest to large percentages of Americans.
  • From March 2016 to August 2022, the percentage of American adults who reported following the news “all or most of the time” dropped from 51 percent to 38 percent, according to the Pew stud
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  • The largest declines in news attention over this period were found among working-age and pre-retirement Americans—for example, more than six in ten Americans ages 50-64 paid close attention to the news in 2016 compared to less than half in 2022.
  • around two-thirds of those ages 65 or older say they follow the news “all or most of the time” (down from a high of 81 percent in 2018) compared to less than one-fifth of those ages 18 to 29.
  • One-third of U.S. adults in 2022 said they follow the news at least “some of the time” while just under three in ten said they pay attention to the news “only now and then” or “hardly at all”.
  • it occurs in conjunction with shifts in media consumption towards digital devices, overall declining trust in the media and other institutions, and “high levels of news fatigue” across demographic groups.
  • It’s easier for people to do something else with their time and find more enjoyable distractions that don’t involve keeping up with the latest implosion in the House of Representatives, fights between dumb politicians, or what new conflict is flaring up in another part of the world.
  • Even as fewer people than ever are paying close attention to what is actually going on in America and the world, more and more Americans (and politicians) are piping off routinely—online, in the workplace, and in family gatherings—with hard-and-fast opinions about what it all means.
  • the net result is a more divisive and less informed citizenry coupled with a clear inability of major institutions and political parties in America to do anything cooperative on common economic, security, and social problems.
  • In a pluralistic society like ours—with important rights to freedom of speech and individual beliefs—it is not the job of government or others to coerce people into paying more or closer attention to what is going on.
  • But media companies, government bodies, and philanthropists could certainly put more money and effort into creating trustworthy news platforms for reporting important facts, presenting neutral analyses, exploring successes and failures in public policy, and hosting civil discussions about the important issues shaping the country.
Javier E

Large-scale warfare occurred in Europe '1,000 years earlier than previously thought' | Archaeology | The Guardian - 0 views

  • The earliest period of warfare in Europe might have occurred more than 1,000 years before what was previously thought to be the first large-scale conflict in the region
  • Reanalysis of more than 300 sets of skeletal remains uncovered in Spain – radiocarbon dated to between 5,400 and 5,000 years ago – indicates that conflicts took place long before powerful states formed in the region.
  • Researchers found there were substantially higher injury rates for the time, with 23% of the individuals showing evidence of skeletal injuries and 10% having unhealed injuries.
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  • The authors also found that 74% of the unhealed injuries and 70% of the healed injuries had occurred in adolescent or adult males, a significantly higher rate than in female individuals, and a difference not seen in other European neolithic mass-fatality sites.
  • The earliest such conflict in Europe was previously thought to have occurred during the bronze age, approximately 4,000 to 2,800 years ago.
  • The overall injury rate, the higher injury rate for males, the relatively high rate of healed injuries (suggesting that the conflict continued over several months) and the previously observed damage to the arrowheads led the authors to conclude that many of the individuals at the burial site were exposed to violence and might have been casualties of warfare.
Javier E

Migrant Workers Propelled China's Rise. Now Many See Few Options. - The New York Times - 0 views

  • Now that times are tough and jobs harder to find, China’s roughly 300 million migrant workers, with flimsy social benefits, have little to fall back on. They don’t enjoy the same health insurance, unemployment and retirement benefits as city-born people, as threadbare as their safety net is. Once migrant workers pass their prime working age, they are expected to go back to their home villages so they won’t become burdens to the cities.
  • Xi Jinping, China’s top leader, conceded in a speech in 2020, “When the economy experiences fluctuations, the first group to be affected are the migrant workers.”
  • He said more than 20 million migrant workers, unable to find work, had returned to their villages during the 2008 financial crisis. In 2020, he said, nearly 30 million migrant workers had to stay home, and out of the reach of jobs, because of the pandemic.
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  • The national unemployment rate, as calculated by the National Bureau of Statistics, accounts only for urban unemployment, which stands at just above 5 percent and is believed to be underestimated. The average monthly income of migrant workers was $630 in 2022, or less than half the income of those working for the government. And that data is flawed because it includes only months when a worker has a job.
  • Mr. Xi said in his speech that the mass return of migrant workers in 2008 and 2020 had not caused any social problems because they “have land and houses back in their home villages so they can return to cultivate the land, have food to eat, and work on something.”
  • But the prospect of moving back to the villages is often bleak and even scary, especially for younger migrant workers who have spent their adult lives in the cities. They can see what awaits them. Their parents and grandparents may need to work until they physically cannot anymore and hesitate to seek medical care. They usually do not have unemployment benefits, and they cannot rely on their families, as some urban youths do, because their parents’ and grandparents’ pensions are “only enough to buy salt,
  • The other reality facing migrant workers is that returning to their villages to earn money farming is not an option, as Mr. Xi said it was. There is not enough land waiting for them
  • “For Chinese, especially in the countryside, there’s no such thing called retirement,” he said. His grandfather is 90 and cleans pig manure for a farm every day in the central province of Henan.
  • The morning we spoke he had just gotten off a shift that started at 7:30 p.m. and ended at 7 a.m. He had worked for two weeks without a day off because of the demand for Apple’s newest iPhone.
  • He feels he cannot go home to his village and do nothing while his parents and grandfather are still working. “It’s just not appropriate,”
  • “My ideal country is one where the people live in peace and prosperity, where there is food safety, freedom of speech, justice, a media that can expose injustices, a five-day, eight-hour workweek for workers,” said Mr. Zhang, the unemployed welder. “If these can be achieved, I will support whoever is in power, regardless of their party or how long they govern.”
  • Mr. Ge left his village at age 17 and started working on construction sites and in factories. He had benefits during the six years he worked at Foxconn, a contract manufacturer for Apple. But when he was out of work this year, he could not get any unemployment benefits, which is not uncommon as local governments are deeply in debt. Now 34, he still works 10-hour shifts at another Apple contract manufacturer and lives in a dormitory.
  • “Only people who couldn’t find jobs would do farming,” said Guan, a migrant worker in the northwestern province of Gansu, “because income from farming is too low.”
  • “To be honest, deep down I feel lost,” he said. “All I can say is that for the time being, I’ll save as much money as possible. As for what the future holds, it’s really hard to say. I might not even live to see that age.”
Javier E

'Childhood has been rewired': Professor Jonathan Haidt on how smartphones are damaging a generation | The Spectator - 0 views

  • Something strange is happening with teenagers’ mental health. In Britain, the US, Australia and beyond, the same trend can be seen: around the middle of the last decade, the number of young people with anxiety, depression and even suicidal tendancies started to rise sharpl
  • He is working on a book, due out next year, and is ready to share his thesis.
  • his message is quite horrifying.
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  • He argues that the tools of social media are just too sharp for young minds. On digital platforms teens parade themselves, often to an audience of strangers, and this is leading to addiction, paranoia and despair
  • For girls, the effect is especially acute. ‘What we’re seeing is a very sharp, sudden change in girls’ mental health all around the Anglosphere and the Nordic countries,’ he says. A big change was evident from 2013, when physical friendship groups started to be supplanted by smartphones and online chat. ‘But you cannot grow up in networks. You have to grow up in communities.’
  • boys who have religion in their lives seem to be less susceptible. ‘If you’re a kid who’s a religious conservative, on average, your mental health is not really much worse than it was ten years ago
  • But if you’re a secular liberal girl, you’re probably more than twice as likely to have a mental health problem.’
  • a University of Michigan survey into ‘self-derogation’ – i.e., how likely teenagers are to say they are ‘no good’ or ‘can’t do anything right’. Figures had been stable for years but started rising sharply ten years ago – except for among boys who identified as conservative and said that religion was important to them.
  • irls simply use social media more. But Professor Haidt also thinks they are more likely to buy into what he calls the ‘three great untruths’ of social media
  • The first is that they are fragile and can be harmed by speech and words.
  • Next, that their emotions, and especially their anxieties, are reliable guides to reality.
  • And finally, that society is one big battle between victims and oppressors. All this, he says, is the subtext to social media discourse.
  • ‘It’s what I’ve been calling the phone-based child,’
  • So we had playdates in childhood, up until around 2010.’ In Britain, he says, the number of children who went on real-life playdates then fell sharply.
  • Social media is a bit of a misnomer, he says. It’s no longer about connecting people, but ‘performing on a platform’. Perhaps this is fine for grown-ups, but not for children, ‘where they can say things in public, including to strangers, and then be publicly shamed by potentially millions of people
  • Children should not be on social networks. They should be playing in person. Social media platforms should never be accessed by children until they’re 18. It’s just insane that we let kids do these things.’
  • I ask if he thinks all platforms are equally dangerous
  • ‘TikTok is probably the worst for their intellectual development. I think it literally reduces their ability to focus on anything while stuffing them with little bits of stuff that was selected by an algorithm for emotional arousal. Not for truth.’
  • if you get your news from social media (which many people do – in the UK, Instagram has overtaken all newspapers as a news source), this can change your view of the world, especially as the algorithms tend to promote the most provocative views.
  • If asked to choose whether they side more with Israel or Hamas, ‘the great majority of Americans side with Israel, except for Gen Z, which is split 50-50’,
  • ‘There was a Twitter thread recently showing how if you look at what people are saying on TikTok, you can understand why
  • TikTok and Twitter are incredibly dangerous for our democracy. I’d say they’re incompatible with the kind of liberal democracy that we’ve developed over the last few hundred years.’
  • Might it just be the case, I ask, that there’s less of a stigma around mental health now, so teenagers are far more likely to admit that they have problems?
  • why is it, then, that right around 2013 all these girls suddenly start checking into psychiatric inpatient units? Or suicide – they’re making many more suicide attempts. The level of self-harm goes up by 200 or 300 per cent, especially for the younger girls aged ten to 14
  • we see very much the same curves, at the same time, for behaviour. Suicide, certainly, is not a self-report variable. This is real. This is the biggest mental health crisis in all of known history for kids.’
  • he increased number of suicides since 2010 is so large that I suspect this is among the largest public health threats to children since the major diseases were wiped out
  • In Britain, suicide rates started rising in 2014, up about 20 per cent for boys (to 420 a year) and 60 per cent for girls (to 160 a year).
  • What should parents do? They know that if they try to remove their teenager’s smartphone, their child will accuse them of destroying his or her social life. ‘That’s a perfect statement of what we call a collective action problem,’
  • ‘Any one person doing the right thing is in big trouble. But why do we ever let our kids on social media? It’s only down to the dynamic you just said.’ New norms are needed, he says. And his book will suggest four.
  • Rule one, he says: no smartphones before the age of 14.
  • ‘Give them a flip phone. Millennials had flip phones. They texted each other
  • Rule two: no social media before 16
  • His third rule: no phones in schools.
  • finally: more unsupervised play. ‘Both of our countries freaked out in the 1990s, locked up our kids because we lost trust in each other. We thought everyone was a child molester or a rapist.’ Children and teens could do with six or seven hours each day out of contact with their parents, he argues. Keeping them inside risks more harm than the outside world would pose.
Javier E

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

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

Opinion | Get to Know the Influential Conservative Intellectuals Who Help Explain G.O.P. Extremism - The New York Times - 0 views

  • The efforts to overturn the 2020 election failed. We’re told that’s because the institutions held. But it’s more accurate to say that most of the individuals holding powerful positions within those institutions — the White House, the Pentagon, the courts, election officials in Georgia and other states — sided with the Constitution over Mr. Trump’s desire to remain in power.
  • But what if key individuals decide differently the next time they are faced with this kind of choice? What if they have come to believe that the country is in such dire straits — has reached a state of apocalyptic decadence — that democracy is a luxury we can no longer afford?
  • A coalition of intellectual catastrophists on the American right is trying to convince people of just that
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  • — giving the next generation of Republican officeholders, senior advisers, judges and appointees explicit permission and encouragement to believe that the country is on the verge of collapse.
  • The list of people making these arguments includes former officials in the Trump administration, some of whom are likely to be considered for top jobs in the event of a Trump restoration in 2024.
  • The ideas about the threat of an all-powerful totalitarian left and the dismal state of the country — even the most outlandish of them — are taken seriously by conservative politicians as well as prominent influencers on the right.
  • If Mr. Trump manages to win the presidency again in 2024, many of these intellectual catastrophists could be ready and willing to justify deeds that could well bring American liberal democracy to its knees.
  • Mr. Anton’s “Flight 93” essay originally appeared on a website with modest traffic, but two days later Rush Limbaugh was reading it aloud in its entirety on his radio show. The essay set the tone of life-or-death struggle (and related imagery) that is common among catastrophists.
  • Mr. Anton updated and amplified the argument in a 2021 book, “The Stakes: America at the Point of No Return.”
  • The prospect of Mr. Biden’s becoming president constituted an “existential threat,” Mr. Eastman said, to the survivability of the country. Would we “completely repudiate every one of our founding principles” and allow ourselves to be “eradicated”? Those were the stakes, as he viewed them.
  • Once a thinker begins to conceive of politics as a pitched battle between the righteous and those who seek the country’s outright annihilation, extraordinary possibilities open up.
  • in May 2021, Mr. Anton came to conduct a two-hour podcast with a far-right Silicon Valley tech guru and self-described “monarchist,” Curtis Yarvin, in which the two agreed that the American “regime” is today most accurately described as a “theocratic oligarchy.” In that arrangement, an elite class of progressive “priests” ensconced in executive branch agencies, the universities, elite media and other leading institutions of civil society promulgate and enforce a distorted and self-serving version of reality that illegitimately justifies their rule.
  • It culminated in Mr. Yarvin sketching a scenario in which a would-be dictator he alternatively describes as “Caesar” and “Trump” defies the laws and norms of democratic transition and uses a “Trump app” to direct throngs of his supporters on the streets of the nation’s capital to do his bidding, insulating the would-be dictator from harm and the consequences of his democracy-defying acts.
  • Mr. Anton described Caesarism as one-man rule that emerges “after the decay of a republican order, when it can no longer function.”
  • he would prefer the country to embrace the principles of “1787 forever.” But if that is no longer possible, he said, the rule of a Caesar can be a necessary method to restore order.)
  • Those on the right primarily concerned about the fate of traditionalist Christian morals and worship in the United States insist that we already live in a regime that oppresses and brutalizes religious believers and conservatives. And they make those charges in a theologically inflected idiom that’s meant to address and amplify the right’s intense worries about persecution by progressives.
  • Among the most extreme catastrophists writing in this vein is Stephen Wolfe, whose book “The Case for Christian Nationalism” calls for a “just revolution” against America’s “gynocracy” (rule by women) that emasculates men, persuading them to affirm “feminine virtues, such as empathy, fairness and equality.” In its place, Mr. Wolfe proposes the installation of a “Christian prince,” or a form of “theocratic Caesarism.”
  • Other authors aspire to greater nuance by calling the dictatorship weighing down on religious believers soft totalitarianism, usually under the rule of social-justice progressivism. These writers often draw direct parallels between the fate of devout Christians in the contemporary United States and the struggles of Eastern Europeans who sought to practice their faith but were harshly persecuted by Soviet tyranny
  • the most recent book by the writer Rod Dreher, “Live Not by Lies: A Manual for Christian Dissidents.”
  • Patrick Deneen of the University of Notre Dame offers the most elaborate and intellectually sophisticated response in his recent book, “Regime Change: Toward a Postliberal Future.”
  • “Regime Change” is a much darker book that goes well beyond diagnosing America’s ills to propose what sounds, in certain passages, like a radical cure.
  • Mr. Deneen and other discontented intellectuals of the religious right can perhaps be most accurately described as political reactionaries looking to undertake a revolutionary act in reverse.
  • Growing numbers of Americans supposedly reject this outlook, demanding a postliberal government and social, cultural and economic order — basically, hard-right policies on religious and moral issues and hard left on economics. But the forces of liberalism are entrenched on the center left and center right, using every power at their disposal to prevent regime change.
  • In some passages, he advocates a “peaceful but vigorous overthrow of a corrupt and corrupting liberal ruling class” and proposes modest reforms to replace i
  • in other passages, Mr. Deneen goes much further, describing the separation of church and state as a “totalitarian undertaking” that must be reversed so that American public life can be fully integrated with conservative forms of Christianit
  • He even affirmatively quotes a passage from Machiavelli in which he talks of the need to use “extralegal and almost bestial” forms of resistance, including “mobs running through the streets,” in order to topple the powers that be.
  • The source of these maladies, Mr. Deneen claims, is liberalism, which until recently has dominated both political parties in the United States, imposing an ideology of individual rights and historical progress on the country from above. This ideology, he says, denigrates tradition, faith, authority and community.
  • Costin Alamariu, the person generally understood to be writing under the pseudonym Bronze Age Pervert.
  • He self-published a book in 2018, “Bronze Age Mindset,” which follows Friedrich Nietzsche and other authors beloved by the European far right in proclaiming that Western civilization itself is on the verge of collapse, its greatest achievements far in the past, its present a “garbage world” in an advanced state of decay.
  • All around us, Mr. Alamariu declares, greatness and beauty are under assault. Who are its enemies? Women, for one. (“It took 100 years of women in public life for them to almost totally destroy a civilization.”) Then there’s belief in democratic equality. (“I believe that democracy is the final cause of all the political problems I describe.”)
  • But blame must most of all be laid at the feet of the creature Mr. Alamariu calls the “bugman,” a term he uses to describe a majority of human beings alive today. This insectlike infestation venerates mediocrity and is “motivated by a titanic hatred of the well-turned-out and beautiful.”
  • Mr. Alamariu proposes breeding great men of strength who model themselves on pirates, disregarding laws and norms, plundering and taking anything they want and ultimately installing themselves as absolute rulers over the rest of us.
  • “Now imagine a man of Trump’s charisma, but who is not merely beholden to the generals, but one of them, and able to rule and intimidate them as well as seduce the many. … Caesars and Napoleons are sure to follow.”
  • In a recent essay, Mr. Alamariu wrote: “I believe in fascism or ‘something worse’ …. I believe in rule by a military caste of men who would be able to guide society toward a morality of eugenics.”
  • Mr. Alamariu’s recently self-published doctoral dissertation reached No. 23 on Amazon sitewide in mid-September. Among those on the right treating the author as a friend, ally or interlocutor worthy of respectful engagement are the prominent activist Christopher Rufo, the author Richard Hanania and the economist-blogger Tyler Cowen.
  • These writers are giving Republican elites permission and encouragement to do things that just a few years ago would have been considered unthinkable.
  • In a second term, Mr. Trump’s ambition is to fire tens of thousands of career civil servants throughout the federal bureaucracy and replace them with loyalists. He also reportedly plans to staff the executive branch with more aggressive right-wing lawyers. These would surely be people unwaveringly devoted to the president and his agenda as well as the danger the Democratic Party supposedly poses to the survival of the United States.
  • These writers also exercise a powerful influence on media personalities with large audiences. Tucker Carlson has interviewed Curtis Yarvin and declared that with regard to the 2024 election, “everything is at stake. What wouldn’t they do? What haven’t they done? How will you prepare yourself?”
  • Other right-wing influencers with large followings assert more bluntly that if conservatives lose in 2024, they will be hunted down and murdered by the regime.
  • It’s important that we respond to such statements by pointing out there is literally no evidence to support them. Other intellectual catastrophists are likewise wrong to suggest the country is ruled by a progressive tyranny, and we can know this because people on the right increasingly say such things while facing no legal consequences at all.
  • The question, then, is why the intellectual catastrophists have gotten to this point — and why others on the right are listening to them. The answer, I think, is an intense dislike of what America has become, combined with panic about the right’s ability to win sufficient power in the democratic arena to force a decisive change.
  • In refusing to accept that deal, many of the right’s most prominent writers are ceasing to behave like citizens, who must be willing to share rule with others, in favor of thinking and acting like commissars eager to serve a strongman.
Javier E

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

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

How inheritance data secretly explains U.S. inequality - The Washington Post - 0 views

  • Every three years the Fed, with the help of NORC at the University of Chicago, asks at least 4,500 Americans an astonishingly exhaustive, almost two-hour battery of questions on income and assets, from savings bonds to gambling winnings to mineral rights. One of our all-time favorite sources, the survey provides our best measure of America’s ghastly wealth disparities.
  • It also includes a deep dive on inheritance, the passing down of the family jewels (or whatnot) from parents (73 percent in 2022), grandparents (14 percent) and aunts and uncles (8 percent).
  • The average American has inherited about $58,000 as of 2022. But that’s if you include the majority of us whose total lifetime inheritance sits at $0
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  • Since 1992, the number of people getting inheritances from parents has nearly doubled even as bequests from grandparents and aunts and uncles have remained flat. Your 50s will be your peak inheriting ages, which makes sense given that an average 65-year-old in the U.S. can expect to live to around age 83 and your parents are, sadly, mortal.
  • If you look only at the lucky few who inherited anything, their average is $266,00
  • And if you look only at those in their 70s, it climbs to $344,000. Of course, that’s the value at the time of the gift. Add inflation and market-level returns and many bequests are worth much more by the time you earn your septuagenarian badge.
  • when we ran the numbers, we found they weren’t random at all.
  • White folks are about three times more likely to inherit than their Black, Hispanic or Asian friend
  • it remains vast enough to help explain why the typical White family has more than six times the net worth of the typical Black American famil
  • Up and down the demographic charts, it appears to be a case of to whom much is given … much more is given
  • Folks in the bottom 50 percent of earners inherit at half the national rate, while those in the top 1 percent are twice as likely to inherit something.
  • he confirmed that inheritances make the rich richer. But a rich kid’s true inheritance goes far beyond cash value: In a million less-measurable ways, elite parents give you a head start in life. By the time they die and hand you a windfall, you’ve already used all your advantages to accumulate wealth of your own.
  • “It’s not just the dollar amount that you get when your parents die,” Ricco said. “It’s the safety net that you had to start a business when you were younger, or the ability to put down a larger share of your savings into a down payment and a house because you know that you can save less for retirement.
  • “Little things like that are probably the main mechanisms through which intergenerational wealth is transmitted and are not easily captured just by the final value of what you see.”
  • Just one variable — how much you inherit — can account for more than 60 percent of U.S. wealth inequality
  • So, if you had to guess someone’s economic station in life and you could peek at only one data point, inheritance would be a pretty good bet. It’s one of the clearest socioeconomic signals on the planet.
  • “They actually reflect many advantages, many inequalities of opportunities that we face.”
  • The U.S. tax system does little to temper our uneven inheritance. Consider the stepped-up basis provision, “one of the most egregious (tax loopholes) that we have,”
  • When you sell something at a profit, you typically pay capital gains tax. But you can avoid that tax by holding the asset until you expire. At your death, the cost basis of your assets gets stepped up to their current value — meaning your heirs avoid getting taxed on what might be a very substantial gain.
  • Say you’re a natural-soda fan who bought $1,000 of Hansen Natural Corp. stock in 2000. You watched your money grow to more than $1.15 million as sleepy Hansen became the world-eating Monster Beverage Corp. Selling the stock would force you to pay capital gains on more than $1 million in earnings, so instead, you took it to the grave
  • (If you needed cash, you probably borrowed against your stockpiled stock pile, a common strategy among the 1 percent.)
  • If your heirs sell it, they’ll pay no taxes. If the value of the stock rises to, say, $1.151 million, they would owe taxes only on that extra $1,000.
  • Now multiply that loophole by the millions of homes, businesses, equities and other assets being handed down each year
  • It encourages older folks to hoard homes and businesses they can no longer make full use of, assets our housing-starved millennial readers would gladly snap up.
  • Early on, Goldwein said, it may have been considered necessary because it was difficult to determine the original value of long-held property. Revenue lost to the loophole was partly offset by a simpler-to-administer levy: the estate tax.
  • For now, you’ll pay the federal estate tax only on the part of your fortune that exceeds $12.92 million ($25.84 million for couples), and rising to $13.61 million in 2024 — and that’s only if your tax lawyers aren’t smart enough to dodge it.
  • “Between politicians continuing to cut the estate tax and taxpayers becoming increasingly good at avoiding it, very few now pay it,” Goldwein said. “That means we now have a big net tax break for most people inheriting large amounts of money.”
  • Kumon presents a convincing explanation: If you didn’t produce a male heir in Japan, it was customary to adopt one. A surplus son from another family would marry into yours. That kept your property in the family.
  • In Europe, if an elite family didn’t produce a male heir, which happened more than a quarter of the time, the default was for a daughter to marry into another well-off family and merge assets. So while Japanese family lines remained intact from generation to generation, European family lines merged, concentrating wealth into fewer and fewer hands.
  • As other families compete to marry into the Darcys’ colossal estate — spoiler for a novel from 1813! — inequality increases.
  • Given a few centuries, even subtle variations in inheritance patterns can produce sweeping societal differences.
Javier E

We're That Much Likelier to Get Sick Now - The Atlantic - 0 views

  • Although neither RSV nor flu is shaping up to be particularly mild this year, says Caitlin Rivers, an epidemiologist at the Johns Hopkins Center for Health Security, both appear to be behaving more within their normal bounds.
  • But infections are still nowhere near back to their pre-pandemic norm. They never will be again. Adding another disease—COVID—to winter’s repertoire has meant exactly that: adding another disease, and a pretty horrific one at that, to winter’s repertoire.
  • “The probability that someone gets sick over the course of the winter is now increased,” Rivers told me, “because there is yet another germ to encounter.” The math is simple, even mind-numbingly obvious—a pathogenic n+1 that epidemiologists have seen coming since the pandemic’s earliest days. Now we’re living that reality, and its consequences.
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  • ‘Odds are, people are going to get sick this year,’”
  • In typical years, flu hospitalizes an estimated 140,000 to 710,000 people in the United States alone; some years, RSV can add on some 200,000 more. “Our baseline has never been great,” Yvonne Maldonado, a pediatrician at Stanford, told me. “Tens of thousands of people die every year.”
  • this time of year, on top of RSV, flu, and COVID, we also have to contend with a maelstrom of other airway viruses—among them, rhinoviruses, parainfluenza viruses, human metapneumovirus, and common-cold coronaviruses.
  • Illnesses not severe enough to land someone in the hospital could still leave them stuck at home for days or weeks on end, recovering or caring for sick kids—or shuffling back to work
  • “This is a more serious pathogen that is also more infectious,” Ajay Sethi, an epidemiologist at the University of Wisconsin at Madison, told me. In the past year, COVID-19 has killed some 80,000 Americans—a lighter toll than in the three years prior, but one that still dwarfs that of the worst flu seasons in the past decade.
  • Globally, the only infectious killer that rivals it in annual-death count is tuberculosis
  • Rivers also pointed to CDC data that track trends in deaths caused by pneumonia, flu, and COVID-19. Even when SARS-CoV-2 has been at its most muted, Rivers said, more people have been dying—especially during the cooler months—than they were at the pre-pandemic baseline.
  • This year, for the first time, millions of Americans have access to three lifesaving respiratory-virus vaccines, against flu, COVID, and RSV. Uptake for all three remains sleepy and halting; even the flu shot, the most established, is not performing above its pre-pandemic baseline.
  • COVID could now surge in the summer, shading into RSV’s autumn rise, before adding to flu’s winter burden, potentially dragging the misery out into spring. “Based on what I know right now, I am considering the season to be longer,” Rivers said.
  • barring further gargantuan leaps in viral evolution, the disease will continue to slowly mellow out in severity as our collective defenses build; the virus may also pose less of a transmission risk as the period during which people are infectious contracts
  • even if the dangers of COVID-19 are lilting toward an asymptote, experts still can’t say for sure where that asymptote might be relative to other diseases such as the flu—or how long it might take for the population to get there.
  • it seems extraordinarily unlikely to ever disappear. For the foreseeable future, “pretty much all years going forward are going to be worse than what we’ve been used to before,”
  • although a core contingent of Americans might still be more cautious than they were before the pandemic’s start—masking in public, testing before gathering, minding indoor air quality, avoiding others whenever they’re feeling sick—much of the country has readily returned to the pre-COVID mindset.
  • When I asked Hanage what precautions worthy of a respiratory disease with a death count roughly twice that of flu’s would look like, he rattled off a familiar list: better access to and uptake of vaccines and antivirals, with the vulnerable prioritized; improved surveillance systems to offer  people at high risk a better sense of local-transmission trends; improved access to tests and paid sick leave
  • Without those changes, excess disease and death will continue, and “we’re saying we’re going to absorb that into our daily lives,” he said.
  • And that is what is happening.
  • last year, a CDC survey found that more than 3 percent of American adults were suffering from long COVID—millions of people in the United States alone.
  • “We get used to things we could probably fix.” The years since COVID arrived set a horrific precedent of death and disease; after that, this season of n+1 sickness might feel like a reprieve. But compare it with a pre-COVID world, and it looks objectively worse. We’re heading toward a new baseline, but it will still have quite a bit in common with the old one: We’re likely to accept it, and all of its horrors, as a matter of course.
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