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the decreasing importance of the printed word, over the past decades, in favour of visual and hyper-concise forms of media, from TV to TikTok. Televised debates require fast reaction times, whereas scientists are used to studying issues at length and only talking about them after thinking.

a successful visual performance is not just about being correct but evoking sympathy in the viewer – about performing. This doesn’t always come easy to scientists.

Whereas once it was thought that the future would necessarily be better than the present, faith in progress – in the magnificent and progressive fortunes of humans – has been eroded

These episodes made me experience first-hand a phenomenon that I was becoming increasingly familiar with: the vanishing of confidence in science. It seems almost a paradox: as our societies become more and more dependent on advanced technology based on scientific discoveries, people are becoming more and more suspicious of scientists.

In a nutshell, scientists are thought to be part of the elite and, therefore, not trustworthy. And the increasing interest by a fraction of scientists in patenting knowledge and making individual financial gains from discoveries reinforces this identification with the elite

a fundamental reality: science makes fair predictions that become reliable after the gradual formation of a scientific consensus. The construction of consensus is the process that makes the real difference – it involves the whole scientific community and that cannot be manipulated.

this lack of trust can have disastrous effects: if citizens do not trust science, we will not be able to fight global warming, infectious diseases, poverty and hunger, and the depletion of the planet’s natural resources.

A great coordinated effort is needed, and this will only be possible if there is a full understanding of the dramatic nature of the problem

A part of the human and financial resources devoted to the advancement of science must be used to discuss with citizens, through education and media and outreach programmes, what science really is: the most reliable and honest tool for understanding the world and predicting the future.

It is also important that we scientists talk about not just our successes, but our mistakes, doubts and hesitations. Often there is no trace, in the public scientific discourse, of the toil of the scientific process and the doubts that accompany it.

Lesson #5: Proportionality should be a guideline in war.

McNamara talks about the proportions of cities destroyed in Japan by the US before the dropping of the nuclear bomb, comparing the destroyed Japanese cities to similarly-sized cities in the US: Tokyo, roughly the size of New York City, was 51% destroyed; Toyama, the size of Chattanooga, was 99% destroyed; Nagoya, the size of Los Angeles, was 40% destroyed; Osaka, the size of Chicago, was 35% destroyed; Kobe, the size of Baltimore, was 55% destroyed; etc. He says LeMay once said that, had the United States lost the war, they would have been tried for war crimes, and agrees with this assessment.

Lesson #7: Belief and seeing are both often wrong. McNamara affirms Morris' framing of lesson 7 in relation to the Gulf of Tonkin incident: "We see what we want to believe."

Lesson #8: Be prepared to reexamine your reasoning. McNamara says that, even though the United States is the strongest nation in the world, it should never use that power unilaterally: "if we can't persuade nations with comparable values of the merit of our cause, we better reexamine our reasoning."

We, the richest nation in the world, have failed in our responsibility to our own poor and to the disadvantaged across the world to help them advance their welfare in the most fundamental terms of nutrition, literacy, health and employment.

we are not omniscient. If we cannot persuade other nations with similar interests and similar values of the merits of the proposed use of that power, we should not proceed unilaterally except in the unlikely requirement to defend directly the continental U.S., Alaska and Hawaii.

War is a blunt instrument by which to settle disputes between or within nations, and economic sanctions are rarely effective. Therefore, we should build a system of jurisprudence based on the International Court—that the U.S. has refused to support—which would hold individuals responsible for crimes against humanity.

If we are to deal effectively with terrorists across the globe, we must develop a sense of empathy—I don't mean "sympathy," but rather "understanding"—to counter their attacks on us and the Western World.

We underestimated the power of nationalism to motivate a people to fight and die for their beliefs and values.

Our misjudgments of friend and foe, alike, reflected our profound ignorance of the history, culture, and politics of the people in the area, and the personalities and habits of their leaders.

We failed then—and have since—to recognize the limitations of modern, high-technology military equipment, forces, and doctrine. We failed, as well, to adapt our military tactics to the task of winning the hearts and minds of people from a totally different culture.

We did not recognize that neither our people nor our leaders are omniscient. Our judgment of what is in another people's or country's best interest should be put to the test of open discussion in international forums. We do not have the God-given right to shape every nation in our image or as we choose.

We did not hold to the principle that U.S. military action … should be carried out only in conjunction with multinational forces supported fully (and not merely cosmetically) by the international community.

5. Proportionality should be a guideline in war

8. Be prepared to re-examine your reasoning

1. The human race will not eliminate war in this century, but we can reduce the brutality of war—the level of killing—by adhering to the principles of a "Just War," in particular to the principle of "proportionality."

5. We, the richest nation in the world, have failed in our responsibility to our own poor and to the disadvantaged across the world to help them advance their welfare in the most fundamental terms of nutrition, literacy, health and employment.

8. War is a blunt instrument by which to settle disputes between or within nations, and economic sanctions are rarely effective. Therefore, we should build a system of jurisprudence based on the International Court—that the U.S. has refused to support—which would hold individuals responsible for crimes against humanity.

9. If we are to deal effectively with terrorists across the globe, we must develop a sense of empathy—I don't mean "sympathy," but rather "understanding"—to counter their attacks on us and the Western World.

3. We underestimated the power of nationalism to motivate a people to fight and die for their beliefs and values.

5. We failed then — and have since — to recognize the limitations of modern, high-technology military equipment, forces, and doctrine.

. We failed, as well, to adapt our military tactics to the task of winning the hearts and minds of people from a totally different culture

9. We did not recognize that neither our people nor our leaders are omniscient. Our judgment of what is in another people's or country's best interest should be put to the test of open discussion in international forums. We do not have the God-given right to shape every nation in our image or as we choose.

10. We did not hold to the principle that U.S. military action … should be carried out only in conjunction with multinational forces supported fully (and not merely cosmetically) by the international community.

11. We failed to recognize that in international affairs, as in other aspects of life, there may be problems for which there are no immediate solutions … At times, we may have to live with an imperfect, untidy world.

The network delivers insinuation instead of reason, in this account, irritable gestures instead of journalism, a great deal of voice and little of mind

Fox News is biased against expertise and culture. Its hosts patrol and destroy, as white blood cells do in the body, any hint of sequential reasoning.

The essential thing he does is lash this material together, as if he were a prosecutor, and turn it into a narrative with sweep and power. He places time stamps on obvious lie after obvious lie from Fox insiders, nearly all of whom knew they were peddling snake oil.

Carlson and Fox News changed conservatism. Together, they put the wedgie into wedge issues. And they helped erode, Stelter writes, “some Republicans’ commitment to the basic tenets of democracy.”

Alongside Trump, Fox changed the tone of American conversation

This is what “trickle down” has come to mean: We live in a stupider, more bellicose world.

Reading Stelter I was reminded of a tweet that made the rounds a few years ago: “Fox News did to our parents what they thought video games would do to us.”

The tragedy of the Middle East is that this is a clash of right versus right. That does not excuse Hamas’s massacre and savagery or Israel’s leveling of entire neighborhoods in Gaza, but underlying the conflict are certain legitimate aspirations that deserve to be fulfilled.

Israelis deserve their country, forged by refugees in the shadow of the Holocaust, and they have built a high-tech economy that largely empowers women and respects gay people, while giving its Palestinian citizens more rights than most Arab nations give their citizens

Likewise, Palestinians deserve a country, freedom and dignity — and they shouldn’t be subjected to collective punishment

A great majority of those killed have been women and children, according to Gaza’s Hamas-controlled Health Ministry, and one gauge of the ferocity and indiscriminate nature of some airstrikes is that more than 100 United Nations staffers have been killed, which the U.N. says is more than in any conflict since its founding

Perhaps that’s because, as an Israeli military spokesman put it early in the conflict, “the emphasis is on damage and not on accuracy.”

If there is a path forward toward peace — whether in two states or one state — it will begin with all of us moving beyond stereotypes. Israelis are not the same as Netanyahu, and Palestinians are not the same as Hamas.

That was Prime Minister Benjamin Netanyahu’s strategy, his way of avoiding a Palestinian state, and it worked for a time — the way a pressure cooker works, until it explodes.

The third myth is found on both sides of the conflict and is approximately: It’s too bad we have to engage in this bloodshed, but the people on the other side understand only violence.

Hamas indeed understands only violence, and it has been brutal to Israelis and Palestinians alike — but Hamas and Palestinians are not the same, just as violent settlers in the West Bank do not represent all Israelis.

so far, I’m afraid that the ferocity and lack of precision in Israel’s attack has fulfilled Hamas’s goal of escalating the Palestinian issue and changing the Middle East dynamic

In that sense, Hamas may be winning.

Five weeks into this war, I don’t see evidence that Israel’s military has degraded Hamas in a significant way, but it has killed vast numbers of civilians, put the Palestinian struggle on top of the global agenda, dissipated the initial torrent of sympathy for Israel, prompted people around the globe to march for Palestine, distracted attention from kidnapped Israelis and ruptured any possibility soon of Israel’s normalizing relations with Saudi Arabia.

three myths inflaming the debate

I’m exasperated by people whose hearts bleed for only one side, or who say about the toll on the other: “It’s tragic, but ….” No “buts.” Unless you believe in human rights for Jews and for Palestinians, you don’t actually believe in human rights.

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.

For him, Tesla is about trying to save humanity from global warming while SpaceX is about making humanity a multiplanetary species in case things don’t work out on Earth.

He said he worried that activating Starlink then would have further stoked the conflict. “I think if the Ukrainian attacks had succeeded in sinking the Russian fleet, it would have been like a mini Pearl Harbor and led to a major escalation,” he is quoted as saying in Walter Isaacson’s new biography, “Elon Musk.” 

“I tend to view the future as a series of probabilities—there’s certain probability that something will go wrong, some probability that it’ll go right; it’s kind of a spectrum of things. And to the degree that there is free will versus determinism, then we want to try to exercise that free will to ensure a great future.”

“Nuclear war probability is rising rapidly,” he tweeted last fall after months of fighting between the two countries. 

with the purchase of Twitter-turned-X, Musk couched the decision as keeping the social-media platform as a bastion for free speech in what he sees as a larger battle against cultural forces trying to squash diverse thought—or, as he calls it, the “woke mind virus.”

“Accept worst case outcome & assign it a probability, which is usually very low. Now think of good things in life & assign them probabilities—many are certain!” he tweeted a couple of years ago. “Bringing anxiety/fear to the conscious mind saps it of limbic emotional strength.”

“We’re like a pro sports team that has been winning the championship for so long and so many years in a row that we have forgotten what losing even looks like,” Musk said. “And that’s when the champion team loses.” 

“My brother believes an economic winter is coming every single day,” Kimbal Musk once told lawyers about his older sibling’s mindset during a legal procedure. 

“To be frank, civilization is feeling a little fragile these days,” Musk said last year during an update on SpaceX’s large rocket development. “I’m an optimist, but I think we got to protect the downside here and try to build that city on Mars as soon as possible and secure the future of life.”

Among his stated worries, of which he has tweeted: “a big rock will hit Earth eventually & we currently have no defense” and “population collapse due to low birth rates is a much bigger risk to civilization than global warming.”

he framed his creation of an artificial-intelligence startup called xAI in his typically grandiose terms, cautioning that the technology has the potential to spiral out of control and essentially turn on its master, something akin to “The Terminator” movie. 

“I think it’s actually important for us to worry about a `Terminator’ future in order to avoid a `Terminator’ future,”

This past week, Musk returned to calling for peace, saying U.S. policies risk pushing Russia into an alliance with China just as the Israel-Hamas war has the potential to expand. He cautioned that many people overestimate U.S. military might in such a scenario

“Cheery fatalism is very effective.”

Now, after the Peronista government of Alberto Fernández and Cristina Fernández de Kirchner has failed to halt the country’s economic decline, a new force among Argentina’s Generation Z is rising.

This time, it’s young men who are at the forefront. Milei is speaking for them.

An admirer of Donald Trump and former Brazilian president Jair Bolsonaro, Milei is campaigning on an Argentine version of “Drain the Swamp.” His aggressive style, outlandish comments and unusual presentation — he claims he hasn’t brushed that hair in years — have drawn millions of viewers to his videos and disrupted traditional politics

He has branded Pope Francis — the Argentine former Archbishop of Buenos Aires Jorge Bergoglio, the first South American pontiff — an “evil” leftist. Climate change, he says, is a “socialist lie.” He would hold a referendum to undo the three-year-old law that legalized abortion. He has called for creating a market for the sale of organs.

But he has also offered frustrated Argentines a break from the status quo: He has proposed shutting down the central bank, dollarizing the economy and taking a “chain saw” to government spending.

His attacks on the peso are already shocking the Argentine economy; the currency has taken a nose dive in the widely traded black market in recent weeks. The inflation rate has skyrocketed.

If Milei wins, it will likely be on the strength of the country’s young. Voters aged 18 to 29 account for a quarter of the electorate, and polls show they’re overwhelmingly inclined to vote for the iconoclast. That’s especially true for young men.

Coronel grew up watching the North American right-wing provocateurs Jordan Peterson, Ben Shapiro and Milo Yiannopoulos on a YouTube channel that translated their words into Spanish. “They were a fundamental part of my ideological awakening,” he said. But his greatest inspiration was Trump.

“We stopped listening to the intellectuals to listen to the politicians,” Coronel said.

“While everyone was focused on feminist demands and gay rights, there was a generation slowly starting to pay attention to Javier Milei.”

He decided to become an economist in 1989 during the early days of hyperinflation in Argentina. He worked as a risk analyst for Corporacion America, owned by one of Argentina’s billionaires, before leaping into television as a regular guest on shows.

Milei’s unconventional ideas and brash style — rants peppered with personal insults — was a TV hit. As the peso plunged and inflation skyrocketed, his economic theories began to find an audience.

He was elected to Congress in 2021 on pledges to tear the political elite down. He gained national prominence by raffling off his congressional salary each month.

Milei describes himself as a liberal-libertarian or a miniarchist. He supports limiting government to just a few functions — ideally, only security and justice — a night-watchman state.

He promises to slash the number of federal ministries from 18 to eight. He applies his free-market ideas to just about everything — he proposes loosening gun restrictions to “maximize the cost of robbery” — and letting the invisible hand of the market do the rest.

“Sometimes I have to pinch myself to ask whether I am living a dream or it’s a reality,” he told The Washington Post. “Because what Javier Milei proposes in politics hasn’t been heard in Argentina for 80 years.”

Milei’s originality is perhaps exactly why Gen Z is so transfixed by him. It’s a generation craving authenticity, Argentine political analyst Ana Iparraguirre said. “They see this guy telling it like it is,” she said. “I might not like that he’ll be selling guns in the streets, but at least this guy is not faking it.”

Most of his 1.4 million TikTok followers are younger than 24, according to his social media team. Iñaki Gutierrez, a 22-year old unpaid volunteer who manages his TikTok, said Milei managed to win the primaries in remote provinces “we didn’t even set foot in.” “TikTok was the answer,” Gutierrez said.

The fastest-growing social media site in Latin America has helped elect a wave of millennial presidents in the region, including Nayib Bukele in El Salvador and, last week, Daniel Noboa in Ecuador.

Milei’s TikTok posts offer Gen Z voters an outlet for rebellion against a system that they say is doing very little for them.

According to one recent survey, more than 65 percent of young voters say they would leave Argentina if they could.

“They feel they have no future,” Iparraguirre said. “If you’ve got nothing to lose you may as well try something different.”

Fragoso’s girlfriend, Victoria Alegre, 23, walking with him in a mall in Buenos Aires this week, said she thinks Milei is a machista who could roll back rights for women. Fragoso said he also dislikes the way Milei speaks about feminism. But he’s willing to overlook it, he said, to take a chance on something — anything — different.

“They said we were dangerous and that we needed to be quiet,” Milei shouted. “But we’re here, we fought the battle and we’re going to win!

The tensions have risen as Ford and other global automakers have spent billions of dollars designing and building EVs, a move that looked especially smart a year ago when they were caught off guard by the strong demand for their new offerings. 

This past week, General Motors said it would delay opening a large EV truck factory in Michigan by a year, citing a need “to better manage capital investments while aligning with evolving EV demand.” The move followed an earlier announcement by Ford pushing back to late 2024 a target of building 600,000 EVs annually. The company has also temporarily cut one of the production shifts for its electric pickup and paused construction of a $3.5 billion battery plant in Michigan. 

In the U.S., for every five Democrats owning an EV there are two Republicans, said Alexander Edwards, president of Strategic Vision, which surveys new-vehicle buyers. 

His data finds that Democrats give priority to “environmentally friendly” when buying their cars while Republicans have other things they are looking for, such as performance and prestige.

On the campaign trail, however, EVs don’t always sound so cool. The GOP presidential hopeful Vivek Ramaswamy, who is against subsidies, has drawn laughs as he suggests that EV buyers are motivated by “a psychological insecurity,” while former Vice President Mike Pence said during the second Republican presidential primary debate that Biden’s efforts “are driving American gasoline, automotive manufacturing, into the graveyard.”  

As the Democrat talks about trying to protect automotive jobs and help the environment with green technology, they raise concerns about losing work and question whether the governments should subsidize them or mandate future zero-emission vehicle sales, as California has done.  

“The real question is whether we’ll lead or we’ll fall behind in the race to the future; or whether we’ll build these vehicles and the batteries that go in them here in the United States or rely on other countries,” Biden said while visiting a Ford factory early in his administration. 

Underpinning the politics of EVs is an economic divide, made more stark by the rise of interest rates. Most EVs are more expensive than the average new vehicle—which sold for about $46,000 in September.

As new cars and trucks become more costly, the practical effect on buyers shows up in Strategic Vision’s survey: The median family household income of new-car buyers has risen to $122,000. That is a significant increase from around $90,000, where it had been at for a couple of decades until just recently. EV buyers are even better off, with a median household income of $186,000.

In some ways, the green car tensions are a return to the 2012 political season, when GM’s Chevrolet Volt became the embodiment of the Obama administration’s rescue of the Detroit auto industry in 2009 and efforts to promote electrified vehicles.

Former House Speaker Newt Gingrich, who unsuccessfully sought the Republican presidential nomination, said the problem with the “Obama car” was that one couldn’t put a gun rack in the plug-in hybrid vehicle.

Sales of the Volt disappointed, and Dan Akerson, then CEO of GM, was left fuming that the company hadn’t designed the sedan to become “a political punching bag.”

GM later killed off the Volt.

BJP-associated Facebook groups also began to push the message that Hamas represented the same Muslim threat facing India in the troubled, majority-Muslim region of Kashmir and Palestinians were sweepingly branded as jihadis.

A turning point came in 1999 when India went to war with Pakistan and Israel proved willing to provide arms and ammunition. It was the beginning of a defence relationship that has grown exponentially. India buys about $2bn-worth of arms from Israel every year – its largest arms supplier after Russia – and accounts for 46% of Israel’s overall weapons exports.

it was the election of Modi that marked a fundamental sea change. While previous governments had kept their dealings with Israel largely quiet, due to concerns of alienating foreign allies and its own vast Muslim population, Modi’s Hindu nationalist BJP government had very different priorities.

ssa said: “The narrative they were pushing was clear: that India and Israel are these ancient civilisations that had been derailed by outsiders – which means Muslims – and their leaders have come together, like long-lost brothers, to fulfil their destiny.”

The ideological alignment between the two leaders was certainly more apparent than in the past. The BJP’s ideological forefathers, and its rank and file today, have long regarded Israel as a model for the religious nationalist state, referred to as the Hindu Rashtra, that the Hindu rightwing in India hope to establish.

While Modi was also the first Indian prime minister to visit Ramallah in Palestine, much of the focus of his government has been on strengthening ties with Israel, be it through defence, culture, agriculture and even film-making. This year, Gautam Adani, the Indian billionaire businessman seen to be close to Modi, paid $1.2bn to acquire the strategic Israeli port of Haifa.

Modi’s foreign policy has also overseen a transformation in ties with Arab Gulf countries including Saudi Arabia, the United Arab Emirates and Qatar, which has been of great financial benefit to India and laid the foundation for a groundbreaking India-Middle East economic trade corridor, running all the way to Europe, which was announced at the G20 forum for international economic cooperation this year but has yet to be built.

the intellectual right effectively dismissed the book

Here is David Brooks, echoing the conservative consensus in 2006:

As any number of historians, sociologists and pollsters can tell you, the evangelical Protestants who now exercise a major influence on the Republican Party are an infinitely diverse and contradictory group, and their relationship to these hyperpartisans is extremely ambivalent.

The idea that members of the religious right form an “infinitely diverse and contradictory group” and were in no way “hyperpartisan” is now clearly absurd. Christianism, in fact, turned out to be the central pillar of Trump’s success, with white evangelicals giving unprecedented and near-universal support — 84 percent — to a shameless, disgusting pagan, because and only because he swore to smite their enemies.

The fusion of Trump and Christianism is an unveiling of a sort — proof of principle that, in its core, Christianism is not religious but political, a reactionary cult susceptible to authoritarian preacher

Christianism is to the American right what critical theory is to the American left: a reductionist, totalizing creed that “others” half the country, and deeply misreads the genius of the American project.

Christianism starts, as critical theory does, by attacking the core of the Founding: in particular, its Enlightenment defense of universal reason, and its revolutionary removal of religion from the state.

Mike Johnson’s guru, pseudo-historian David Barton, claims that the Founders were just like evangelicals today, and intended the government at all levels to enforce “Christian values” — primarily, it seems, with respect to the private lives of others. As Pete Wehner notes, “If you listen to Johnson speak on the ‘so-called separation of Church and state’ and claim that ‘the Founders wanted to protect the church from an encroaching state, not the other way around,’ you will hear echoes of Barton.”

Christianism is a way to think about politics without actually thinking. Johnson expressed this beautifully last week: “I am a Bible-believing Christian. Someone asked me today in the media, they said, ‘It’s curious, people are curious: What does Mike Johnson think about any issue under the sun?’ I said, ‘Well, go pick up a Bible off your shelf and read it. That’s my worldview.

this tells us nothing, of course. The Bible demands interpretation in almost every sentence and almost every word; it contains universes of moral thought and thesauri of ambiguous words in a different ancient language; it has no clear blueprint for contemporary American politics, period

Yet Johnson uses it as an absolute authority to back up any policy he might support

The submission to (male) authority is often integral to fundamentalism

Trump was an authority figure, period. He was a patriarch. He was the patriarch of their tribe. And he was in power, which meant that God put him there. After which nothing needs to be said. So of course if the patriarch says the election is rigged, you believe him.

And of course you do what you can to make sure that God’s will be done — by attempting to overturn the election results if necessary.

Christianism is a just-so story, with no deep moral conflicts. Material wealth does not pose a moral challenge, for example, as it has done for Christians for millennia. For Christianists, it’s merely proof that God has blessed you and you deserve it.

“I believe that scripture, the Bible is very clear: that God is the one that raises up those in authority. And I believe that God has ordained and allowed each one of us to be brought here for this specific moment.” That means that Trump was blessed by God, and not just by the Electoral College in 2016. And because he was blessed by God, it was impossible that Biden beat him fairly in 2020.

More than three-quarters of those representing the most evangelical districts are election deniers, compared to just half of those in the remaining districts. Fully three-quarters of the deniers in the caucus hail from evangelical districts.

since the Tea Party, the turnover in primary challenges in these evangelical districts has been historic — a RINO-shredding machine. No wonder there were crosses being carried on Capitol Hill on January 6, 2021. The insurrectionists were merely following God’s will. And Trump’s legal team was filled with the faithful.

Tom Edsall shows the skew that has turned American politics into something of a religious war: “When House districts are ranked by the percentage of voters who are white evangelicals, the top quintile is represented by 81 Republicans and 6 Democrats and the second quintile by 68 Republicans and 19 Democrats.”

the overwhelming majority of the Republican House Caucus (70%) represents the Most Evangelical districts (top two quintiles). Thus, we can see that a group that represents less than 15% of the US population commands 70% of the districts comprising the majority party in the House of Representatives.

And almost all those districts are safe as houses. When you add Christianism to gerrymandering, you get a caucus that has no incentive to do anything but perform for the cable shows.

This is not a caucus interested in actually doing anything.

I don’t know how we best break the grip of the fundamentalist psyche on the right. It’s a deep human tendency — to give over control to a patriarch or a holy book rather than engage in the difficult process of democratic interaction with others, compromise, and common ground.

he phenomenon has been given new life by a charismatic con-man in Donald Trump, preternaturally able to corral the cultural fears and anxieties of those with brittle, politicized faith.

What I do know is that, unchecked, this kind of fundamentalism is a recipe not for civil peace but for civil conflict

It’s a mindset, a worldview, as deep in the human psyche as the racial tribalism now endemic on the left. It controls one of our two major parties. And in so far as it has assigned all decisions to one man, Donald Trump, it is capable of supporting the overturning of an election — or anything else, for that matter, that the patriarch wants. Johnson is a reminder of that.

So fear creates recessions in the long run — and if we continue to have rising fear, the probability of a European recession grows and the probability of a US recession grows. Geopolitics is playing a bigger role in everyone’s equations.”

Geopolitical risk is a major component in shaping all our lives. We are having rising fear throughout the world, and less hope. Rising fear creates a withdrawal from consumption or spending more.

“When the Russian invasion occurred in Ukraine, we said that the peace dividend is over,” Larry Fink, chief executive of investment giant BlackRock, told The Sunday Times. “Now, with the instability in the Middle East, we’re going to almost a whole new future.

Dimon noted that inflation had “levelled off a little bit” overall, but said: “It’s not clear to me that long-term forces are not inflationary … And that’s why I’m saying rates could possibly go up from here. That’s life in the fast lane.”

Higher borrowing costs have started to hit debt-fuelled sectors that boomed in the zero-rates era — such as commercial property, where $80 billion (£65 billion) of assets across the US are in some form of financial distress, according to MSCI, and private equity.

[the legendary investor] Warren Buffett says you see who’s swimming naked when the tide goes out. Not everyone is really ready for 6 or 7 per cent rates, but I wouldn’t rule them out.”

Fink pointed out that the transmission of rate rises into the US economy was less direct than in the UK

“I’m a fundamental believer that we’re going to have higher inflation for longer, and it’s going to require the [Fed] to raise rates higher — probably one or two more tightenings — and that will ultimately be the way we get into recession.”

Many senior figures on Wall Street worry about the US government’s ability to finance itself in the medium term. As in the UK, the market for government debt was underpinned by huge waves of quantitative easing (QE) after the financial crisis, as the Federal Reserve, in effect, bought assets including Treasuries to boost the economy. Following a revival of the programme during Covid, it came to an end in March last year.

The withdrawal of QE, combined with lacklustre appetite for Treasuries among US banks and international investors such as China, could force the government to pay higher prices at a time of near-record borrowing.

“It might be a 20km headwind right now, but next year it’s going to be 25km and it’s going to grow,” a top investor said of the decreasing international demand for US government debt.

US stock market floats and fundraisings, the heartbeat of capital markets, slumped to their lowest level since 1998 last year as the spike in interest rates punctured valuations of growth stocks in sectors such as tech and healthcare.

The cautious mood on Wall Street comes against a backdrop of surprisingly strong US growth. The economy expanded by an astonishing 4.9 per cent in the third quart

the Biden administration is shovelling stimulus into the system via big pieces of legislation promising to accelerate America’s adoption of renewables, rebuild its advanced semiconductor industry and increase its spending on roads, bridges and broadband.

We have huge stimulus,” said Fink. “People are not factoring in the Inflation Reduction Act, the Chips Act and the Infrastructure Act, which are about $970 billion of stimulus. Those are the largest stimuluses ever when there’s not a pandemic or a financial crisis ... And it’s at a time when you can have unions win a 25 per cent labour increase … These are very inflationary, whether it’s the fiscal stimulus or these wage increases.”

It all comes back to that word. Unexpectedly high growth, massive government stimulus and now two wars that threaten to spill out into broader crises — it all spells inflation. The flurry of hope in markets that Fed and the Bank of England have reached the top of their rate-raising cycles may yet prove premature

a member of XR’s political circle, said: “There is absolutely no shrinking away from the fact that we have got to learn from what happened around the Tube, most especially within our own internal decision making.

“Obviously we did not get that right. People have given up their jobs to join XR, for them to be so upset and so dismayed by the action is an absolute pointer to us that we have to look again at how we make those decisions.”

Among the provisional plans is a move away from the fortnight of disruption that is scheduled to take place twice a year

Lunnon said: “There is a really fine line for XR and it is something we are having to learn. Nobody has launched a peaceful rebellion against a government before in this country. But we do have to consider how the rebellion is going to move forward.”

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.