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The trove of emails, obtained through legal requests, contain no single smoking gun. Instead they illustrate ongoing pressure from officials at various US government agencies to pressure YouTube, Twitter, and – in particular – Facebook parent Meta to act faster and more aggressively on anti-vaccine posts, conspiracy theories and the lab-leak theory.

Despite the occasional resistance from Facebook, emails published as part of the lawsuit often showed White House officials berating social media companies, who were deferential in response. “We think there is considerably more we can do in ‘partnership’ with you and your team to drive behaviour,” one executive wrote.

Officials were also active in encouraging Twitter and YouTube to remove content, according to the order. In the early weeks of the administration, Flaherty emailed Twitter asking them to remove a parody account linked to Biden’s granddaughter, writing: “Please remove this account immediately.” It was gone 45 minutes later.

as the lawsuit argues, the conversations were not taking place in a vacuum. They came as debates raged across Congress about whether to remove “Section 230” protections enjoyed by social media companies that limit responsibility for what their users post, and as the US government pursued lawsuits against Facebook and Google seeking to break the companies up.

After reporting by The Telegraph, the UK Government is under pressure to shut down its own Counter Disinformation Unit, which passed information to social media companies to encourage them to take down posts. And Elon Musk, a champion of conservative voices, now owns Twitter.

In his conclusion, the judge quoted the late Democrat president Harry Truman: “Once a government is committed to the principle of silencing the voice of opposition, it has only one place to go, and that is down the path of increasingly repressive measures, until it becomes a source of terror to all its citizens and creates a country where everyone lives in fear.”

In June, for the first time, astronomers revealed they had picked up traces of a background hum of low-frequency gravitational waves. It was embedded in 15 years of data from naturally occurring cosmic metronomes across the galaxy.

That’s why astronomers had to use the Milky Way itself as a makeshift observatory.

The final orbits of paired supermassive black holes can take years or decades while their gravitational waves stretch out across light-years. It’s not possible with current technology to build a detector that large, sensitive to waves with such low frequencies.

These metronomes, called millisecond pulsars, are the spinning remnants of dead massive stars. They sweep beams of radio waves with every rotation, hundreds per second — and keep near- perfect time. Tiny discrepancies might be because of individual stellar idiosyncrasies or could be a sign that gravitational waves have changed the distance each pulse travels on its way to us. By monitoring dozens of pulsars, astronomers hunt for correlations in timing errors that are a smoking gun of passing gravitational waves.

it is not entirely clear where the hum comes from, though it looks very much like what we expect from the combination of gravitational waves generated by all the supermassive black hole collisions across the cosmos. If it is, it’s a first step toward a whole new way of seeing the universe that will give us fantastic insights into the formation and growth of galaxies.

The hum could yet be something else entirely. It might be the quake from a violent event in the early universe, such as cosmic inflation — the spectacular expansion of space we think happened during the Big Bang. Another possible source is the vibrations of cosmic strings, hypothetical webs of energy that stretch across the cosmos.

That small dip may reflect preoccupation with economic doldrums unleashed by covid-19

support for government doing more to curb climate change soared to 57 percent in 2020 before subsiding to 50 percent this yea

while 54 percent of young voters believed in 2010 that abortion should be legal in most or all cases, that’s up to 69 percent this year.

Demographer William Frey and his colleagues calculate that by the 2036 presidential race, Gen Z will represent 35 percent of eligible voters. “They’re growing up in a 21st century America that’s far more diverse, inclusive and globally connected than the 1950s and 1960s America of the GOP base,” Frey told me. “They’re going to shun the Republican Party as they get older.”

There are major caveats. President Biden’s approval among young people remains stubbornly low

There’s some evidence that the young voters who elected Barack Obama have become somewhat more conservative as they’ve aged, which could happen again

“Every traditional postproduction ad attacking President Trump either backfired or produced no impact on his ballot support and favorability,” Mr. McIntosh adds. “This includes ads that primarily feature video of him saying liberal or stupid comments from his own mouth.”

Examples of “failed” ads cited in the memo included attacks on Mr. Trump’s “handling of the pandemic, promotion of vaccines, praise of Dr. Fauci, insane government spending, failure to build the wall, recent attacks on pro-life legislation, refusal to fight woke issues, openness to gun control, and many others.”

“Broadly acceptable messages against President Trump with Republican primary voters that do not produce a meaningful backlash include sharing concerns about his ability to beat President Biden, expressions of Trump fatigue due to the distractions he creates and the polarization of the country, as well as his pattern of attacking conservative leaders for self-interested reasons,”

“It is essential to disarm the viewer at the opening of the ad by establishing that the person being interviewed on camera is a Republican who previously supported President Trump,” he adds, “otherwise, the viewer will automatically put their guard up, assuming the messenger is just another Trump-hater whose opinion should be summarily dismissed.”

Win It Back did not bother running ads focused on Mr. Trump as an instigator of political violence or as a threat to democracy. The group tested in a focus group and online panel an ad called “Risk,” narrated by former Representative Liz Cheney, that focused on Mr. Trump’s actions on Jan. 6, 2021. But the group found that the Cheney ad helped Mr. Trump with the Republican voters, according to Mr. McIntosh.

With respect to crime, poverty and homelessness, Brown argued,One thing that may occur is that disinvestment in city downtowns will alter the spatial distribution of these elements in cities — i.e. in which neighborhoods or areas of a city is crime more likely, and homelessness more visible. Urban downtowns are often policed such that these visible elements of poverty are pushed to other parts of the city where they will not interfere with commercial activities. But absent these activities, there may be less political pressure to maintain these areas. This is not to say that the overall crime rate or homelessness levels will necessarily increase, but their spatial redistribution may further alter the trajectory of commercial downtowns — and the perception of city crime in the broader public.

“The more dramatic effects on urban geography,” Brown continued,may be how this changes cities in terms of economic and racial segregation. One urban trend from the last couple of decades is young white middle- and upper-class people living in cities at higher rates than previous generations. But if these groups become less likely to live in cities, leaving a poorer, more disproportionately minority population, this will make metropolitan regions more polarized by race/class.

the damage that even the perception of rising crime can inflict on Democrats in a Nov. 27 article, “Meet the Voters Who Fueled New York’s Seismic Tilt Toward the G.O.P.”: “From Long Island to the Lower Hudson Valley, Republicans running predominantly on crime swept five of six suburban congressional seats, including three that President Biden won handily that encompass some of the nation’s most affluent, well-educated commuter towns.

In big cities like New York and San Francisco we estimate large drops in retail spending because office workers are now coming into city centers typically 2.5 rather than 5 days a week. This is reducing business activity by billions of dollars — less lunches, drinks, dinners and shopping by office workers. This will reduce city hall tax revenues.

Public transit systems are facing massive permanent shortfalls as the surge in working from home cuts their revenues but has little impact on costs (as subway systems are mostly a fixed cost. This is leading to a permanent 30 percent drop in transit revenues on the New York Subway, San Francisco Bart, etc.

These difficulties for cities will not go away anytime soon. Bloom provided data showing strong economic incentives for both corporations and their employees to continue the work-from-home revolution if their jobs allow it:

First, “Saved commute time working from home averages about 70 minutes a day, of which about 40 percent (30 minutes) goes into extra work.” Second, “Research finds hybrid working from home increases average productivity around 5 percent and this is growing.” And third, “Employees also really value hybrid working from home, at about the same as an 8 percent pay increase on average.

three other experts in real estate economics, Arpit Gupta, of N.Y.U.’s Stern School of Business, Vrinda Mittal, both of the Columbia Business School, and Van Nieuwerburgh. They anticipate disaster in their September 2022 paper, “Work From Home and the Office Real Estate Apocalypse.”

“Our research,” Gupta wrote by email,emphasizes the possibility of an ‘urban doom loop’ by which decline of work in the center business district results in less foot traffic and consumption, which adversely affects the urban core in a variety of ways (less eyes on the street, so more crime; less consumption; less commuting) thereby lowering municipal revenues, and also making it more challenging to provide public goods and services absent tax increases. These challenges will predominantly hit blue cities in the coming years.

the three authors “revalue the stock of New York City commercial office buildings taking into account pandemic-induced cash flow and discount rate effects. We find a 45 percent decline in office values in 2020 and 39 percent in the longer run, the latter representing a $453 billion value destruction.”

Extrapolating to all properties in the United States, Gupta, Mittal and Van Nieuwerburgh write, the “total decline in commercial office valuation might be around $518.71 billion in the short-run and $453.64 billion in the long-run.”

the share of real estate taxes in N.Y.C.’s budget was 53 percent in 2020, 24 percent of which comes from office and retail property taxes. Given budget balance requirements, the fiscal hole left by declining central business district office and retail tax revenues would need to be plugged by raising tax rates or cutting government spending.

Since March 2020, Manhattan has lost 200,000 households, the most of any county in the U.S. Brooklyn (-88,000) and Queens (-51,000) also appear in the bottom 10. The cities of Chicago (-75,000), San Francisco (-67,000), Los Angeles (-64,000 for the city and -136,000 for the county), Washington DC (-33,000), Seattle (-31,500), Houston (-31,000), and Boston (-25,000) make up the rest of the bottom 10.

Prior to the pandemic, these ecosystems were designed to function based on huge surges in their daytime population from commuters and tourists. The shock of the sudden loss of a big chunk of this population caused a big disruption in the ecosystem.

Just as the pandemic has caused a surge in telework, Loh wrote, “it also caused a huge surge in unsheltered homelessness because of existing flaws in America’s housing system, the end of federally-funded relief measures, a mental health care crisis, and the failure of policies of isolation and confinement to solve the pre-existing homelessness crisis.”

The upshot, Loh continued,is that both the visibility and ratio of people in crisis relative to those engaged in commerce (whether working or shopping) has changed in a lot of U.S. downtowns, which has a big impact on how being downtown ‘feels’ and thus perceptions of downtown.

The nation, Glaeser continued, isat an unusual confluence of trends which poses dangers for cities similar to those experienced in the 1970s. Event#1 is the rise of Zoom, which makes relocation easier even if it doesn’t mean that face-to-face is going away. Event#2 is a hunger to deal with past injustices, including police brutality, mass incarceration, high housing costs and limited upward mobility for the children of the poor.

Progressive mayors, according to Glaeser,have a natural hunger to deal with these problems at the local level, but if they try to right injustices by imposing costs on businesses and the rich, then those taxpayers will just leave. I certainly remember New York and Detroit in the 1960s and 1970s, where the dreams of progressive mayors like John Lindsay and Jerome Patrick Cavanagh ran into fiscal realities.

Richard Florida, a professor of economic analysis and policy at the University of Toronto, stands out as one of the most resolutely optimistic urban scholars. In his August 2022 Bloomberg column, “Why Downtown Won’t Die,”

His answer:

Great downtowns are not reducible to offices. Even if the office were to go the way of the horse-drawn carriage, the neighborhoods we refer to today as downtowns would endure. Downtowns and the cities they anchor are the most adaptive and resilient of human creations; they have survived far worse. Continual works in progress, they have been rebuilt and remade in the aftermaths of all manner of crises and catastrophes — epidemics and plagues; great fires, floods and natural disasters; wars and terrorist attacks. They’ve also adapted to great economic transformations like deindustrialization a half century ago.

Florida wrote that many urban central business districts are “relics of the past, the last gasp of the industrial age organization of knowledge work the veritable packing and stacking of knowledge workers in giant office towers, made obsolete and unnecessary by new technologies.”

“Downtowns are evolving away from centers for work to actual neighborhoods. Jane Jacobs titled her seminal 1957 essay, which led in fact to ‘The Death and Life of Great American Cities,’ ‘Downtown Is for People’ — sounds about right to me.”

Despite his optimism, Florida acknowledged in his email thatAmerican cities are uniquely vulnerable to social disorder — a consequence of our policies toward guns and lack of a social safety net. Compounding this is our longstanding educational dilemma, where urban schools generally lack the quality of suburban schools. American cities are simply much less family-friendly than cities in most other parts of the advanced world. So when people have kids they are more or less forced to move out of America’s cities.

What worries me in all of this, in addition to the impact on cities, is the impact on the American economy — on innovation. and competitiveness. Our great cities are home to the great clusters of talent and innovation that power our economy. Remote work has many advantages and even leads to improvements in some kinds of knowledge work productivity. But America’s huge lead in innovation, finances, entertainment and culture industries comes largely from its great cities. Innovation and advance in. these industries come from the clustering of talent, ideas and knowledge. If that gives out, I worry about our longer-run economic future and living standards.

The risk that comes with fiscal distress is clear: If city governments face budget shortfalls and begin to cut back on funding for public transit, policing, and street outreach, for the maintenance of parks, playgrounds, community centers, and schools, and for services for homelessness, addiction, and mental illness, then conditions in central cities will begin to deteriorate.

There is reason for both apprehension and hope. Cities across time have proven remarkably resilient and have survived infectious diseases from bubonic plague to cholera to smallpox to polio. The world population, which stands today at eight billion people, is 57 percent urban, and because of the productivity, innovation and inventiveness that stems from the creativity of human beings in groups, the urbanization process is quite likely to continue into the foreseeable future. There appears to be no alternative, so we will have to make it work.

“The Citizens of the Reich movement has established itself as the biggest far-right extremist danger in Germany via the pandemic,”

“It’s dangerous not just that you have armed and trained members of the military and police in the group, but that the number of gun permits has gone up and several people in this group had such permits.”

It was the same group behind a failed attempt to storm the German Capitol during an anti-vaccine protest two years ago, and it is believed to have inspired a plot to kidnap the health minister and set off a coup earlier this year.

But since the onset of the pandemic, they have become the main conduit for violent and antisemitic conspiracy theories, notably QAnon.The mythology and language QAnon uses — including claims of a “deep state” of globalist elites running the government and revenge fantasies against those elites — conjure ancient antisemitic tropes and putsch visions that have long animated Germany’s far-right fringe.

Lorenz Blumenthaler, who studies Germany’s far right, calls the Reichsbürger a “gateway ideology,” because the movement attracts so many disparate groups disenchanted with the government.

The pandemic allowed the group to find new support bases beyond those who usually gravitate toward the right, and to tap into a deep vein of conspiracy theories that were becoming more potent.“It has taken on a completely new level of radicalization,

“The struggle to defend objective truth against people who consciously choose to deny or distort it has become a fight to defend our society, and democracy itself.”

Jonathan Swift, it’s worth noting that he was not an optimist about “truth.”

By the time a lie is refuted, he wrote, “it is too late; the jest is over, and the tale has had its effect: like a man, who has thought of a good repartee, when the discourse is changed, or the company parted; or like a physician, who has found out an infallible medicine, after the patient is dead.'“

“Considering that natural disposition in many men to lie, and in multitudes to believe,” he wrote in 1710, “I have been perplexed what to do with that maxim so frequent in every body's mouth; that truth will at last prevail.

A recent Washington Post tally found that nearly 300 Republicans running for congressional and state offices are election deniers. That means, as a FiveThirtyEight analysis found, 60 percent of Americans will have at least one election denier on their ballot next week.

In a new USA Today/Suffolk University poll, 63 percent of Republicans say they worry “the election results could be manipulated.”

From the New York Times: When asked, six Trump-backed Republican nominees for governor and the Senate in midterm battlegrounds would not commit to accepting this year’s election results.

The big mistake people have made is in assuming this could blow up only in an extensive struggle in 2024 and perhaps involving Donald Trump. What seems entirely unanticipated, yet is extremely predictable, is that smaller skirmishes could break out all over the country this year.

Democrats have got themselves in a situation where the head of their party holds the most popular position on guns and crime—and yet they’re getting crushed on the issue because they’ve let GOP campaign ads, the right wing media ecosystem, and assorted progressive big city prosecutors shape the narrative on the issue rather than doing so themselves.

In any case, the fear of nuclear war has been around since the time of Hiroshima, but also, there are other fears. If we don’t get climate policy right, will we all be cooked? Or will climate-induced disruptions lead to great power war, nuclear conflict? Will changing technology — the AIs — take over? Whatever, we live in a time of existential fear, and foreign policy and all kinds of national policy questions get invested with these ultimate questions.

What makes democracy work under those circumstances tends to be senses of identification with elites, with different social-political groups. The glue that holds a democratic society — the cultural glue, intellectual glue, spiritual glue — becomes much more important

In terms of mass societies and democracies and large cultural groups, it’s profoundly destabilizing. You have that problem, that existential fear, which some people respond to by denial, some people fall into extremism — lots of responses, but you can see that.

Then the other thing is that, in a large democratic society like ours — 300-plus million people — if political power was divided equally among all 300 million Americans, it would mean that no one had any power.

Politics is less about, if we raise the sales tax half a percent, is that a good thing or a bad thing on balance? It’s more about, can we save the planet? Can we save human civilization? When people face those kinds of questions without some kind of grounding in some kind of religion, faith, it’s actually . . . There are individual people who can keep their psychological balance in the face of that. There are not many.

The American political-studies belief since World War II has essentially been, democracy is the only stable form of government. Everywhere democracy is inexorably rising, and every other form of government is incredibly unstable. This bears very, very little relationship to the facts outside of Western Europe, let’s say the world of NATO plus Japan and Australia.

to do foreign policy well

Which American president has best understood the Middle East, and then worst? MEAD: Interesting. Nobody’s gotten it totally. I’d say George H.W. Bush and Richard Nixon probably are the two, in my mind, who best understood what they were dealing with.

COWEN: What is it they had that maybe the others didn’t? MEAD: What they saw in the Middle East is that America has both hard-power goals and what you could call soft-power, idealistic goals in the Middle East, that our hard-power goals are vital, and they are achievable. Our soft-power goals are important but largely unachievable. What they did was, they set about dealing with what was essential, and they both did it pretty successfully.

The American academy is actually a terrible place for coming to understand how world politics works.

COWEN: Sorry. Is Germany still part of the Western Alliance? MEAD: Well, in the sense it’s been for some time. I remember that Kennan’s goal for Germany was to have a united, neutral, disarmed Germany at the heart of Europe. In some ways, [laughs] Kennan’s goal looks, maybe, closer than ever.

Look, I think Germany is a country whose basic economic model is now under question. The German model — and it’s very important in understanding that country — is based on the availability of cheap energy from Russia and large markets in China.

Again, let’s remember that the German establishment is more terrified of ordinary German public opinion than even the American liberal establishment is terrified of the Trumpists. You don’t have to look all that deeply into history to see why that would be the case. Providing stability, affluence, and employment for the mass of the German people is a key test of the legitimacy of the German state.

Really, ever since we failed to break up the large German corporations after World War II, that German establishment has been the motor of the astonishing success of postwar Germany. Now, suddenly, that engine is running out of fuel on the one hand, and its key customer, China, regardless of anything about human rights or geopolitics, the goal of the Chinese economic development strategy is to end its dependency on capital goods imported from countries like Germany by becoming an exporter of high-tech capital goods.

China’s development plans, much more than its Taiwan policy or its human rights, is a gun pointed at the head of German business. So, where do they go? It’s not clear where they go. I don’t think it’s clear to them where they go. That means that a fundamental element of the American alliance system is in a completely new place.

I think what we have to be doing in terms of analyzing where German foreign policy goes is to think a little bit less about ideology or things like the German anti-war sentiment or these kinds of things. Yes, these are all there, the Russian soul, all of that. It’s there, but really, how is Germany going to make a living? That’s the question that has to be answered, and that will drive Germany’s orientation in foreign policy.

I think, in our society, the ebbing of religion among some, certainly not all, Americans has tended to dissolve these bonds and leads, in all kinds of ways, both on the left and the right, to some of the sense of suspicion, of paranoia, a lack of trust, and declining support for democracy.

COWEN: How would you describe that advantage? MEAD: I don’t really believe in disciplines. I see connections between things. I start from reality. I’m not trying to be anti-intellectual here. You need ideas to help you organize your perceptions of reality. But I think there’s a tendency in a lot of social science disciplines — you start from a bunch of really smart, engaged people who have been thinking about a set of questions and say, “We’ll do a lot better if we stop randomly thinking about everything that pops up and try, in some systematic way, to organize our thinking of this.”

I think you do get some gains from that, but you see, over time, the focus of the discipline has this tendency to shift. The discipline tends to become more inward navel-gazing. “What’s the history of our efforts to systematize our thinking about this?” The discipline becomes more and more, in a sense, ideological and internally focused and less pragmatic.

I think that some of the problem, though, is not so much in the intellectual weaknesses of a lot of conventional postgrad education, but simply almost the crime against humanity of having whole generations of smart people spend the first 30, 35 years of their lives in a total bubble, where they’re in this academic setting, and the rule . . . They become socialized into the academy, just as much as prisoners get socialized into the routines of a prison.

COWEN: Do you think of it as an advantage that you don’t have a PhD? MEAD: Huge advantage.

COWEN: For our final segment, a few questions about the Walter Russell Mead production function. How much did growing up in South Carolina influence your views on foreign policy? MEAD: I think it’s affected my views of America, and that, in turn, affects my views. Growing up in the segregated South during the civil rights era, where, on the one hand, my father actually knew Martin Luther King and marched with him and was involved in a lot of things; but then I had relatives, older relatives who were very much on the other side. That gave me a certain sense of I could love my grandfather even though he voted for George Wallace.

MEAD: Yes. All right. The fact that I could love him while really disliking his politics helps me understand . . . I think it helps understand some of the divisions in America even today and gives you a more human rather than a strictly ideological look.

But there’s also this: that the South and the White South — which, of course, is where I come from — has had the experience of both being defeated and being wrong. That’s something that a lot of American political culture doesn’t have — your WASP Yankee patricians. I think neoconservatism reflected a sense of people who’ve never been wrong and never been beaten, at least in their own minds. There’s a hubris that comes with that.

Historically, one of the roles of Southern politics — think of William Fulbright during the Vietnam War — both for good and bad reasons, doubt that this American ideological project can be transferred, partly because they know America is bad at reconstruction. The failure of reconstruction, both in terms of the White South and the Black South after the Civil War, is a lesson that you get growing up in the South. And so you have an inherent sense of the limits of America’s ability to transform societies. That’s important.

COWEN: Your foreign policy understanding — what did it learn from going to Groton?

MEAD: Well, I learned a lot there. On the one hand, Groton is a place that prides itself on its tradition of producing foreign policy leaders: Dean Acheson, the Allsopp brothers, Averell Harriman, Franklin Roosevelt. That wonderful book, The Wise Men by David Halberstam — actually, my history teacher is in there. There’s a whole scene that could be from our fourth-form 10th-grade history class.

You got the sense of being part of a tradition, and you got the inside view. The way we were taught American history was in no way idealized. Just, say, reading something like the 1619 Project didn’t come to me as a shock. “Oh my gosh, there was slavery, there was injustice in America.”

In fact, one of the teachers at Groton used to take aside some of the boys — it was an all-boys school at the time — and explain to them how their family fortune was made. He might say, “Well, George, we’ve been reading a lot about war profiteers in World War I. You need to know that your grandfather . . .” Et cetera, et cetera. Unfortunately, none of my grandparents had participated in such things, so there was no need to explain to me the family fortune, as there wasn’t one.

More than that, though, I was at Groton ’65 to ’70. Those were the years of the Vietnam War. The national security adviser at the time, McGeorge Bundy, was the chair of the Groton Board of Trustees, so I had a close-up look at the aggressive self-confidence of the WASP establishment meeting the Vietnam War and beginning to come to grips with what was going wrong.

Those two visions of the inner workings of the American foreign policy elite, and then the ringside seat at the crisis of the old American foreign policy elite, have been profoundly important in my thinking about the world.

COWEN: You meet young people all the time. How do you spot the next Walter Russell Mead? What do you look for?

MEAD: Well, first of all, I’m hoping for somebody who’s a lot better than me. I’m looking for someone — what is it? Whose sandals I am unworthy to buckle. And I would say that I look for, first of all, curiosity, intense curiosity. I look for an understanding that the personal and the political are mixed, that character matters. You can learn about the world by coming to understand your own psychological flaws and distress, and vice versa.

That history matters a lot, and that you can’t know too much history. Now, you have to digest it, but you can’t know too much history. A hunger for travel. I think too many foreign policy types don’t actually get out into the field nearly as much as they should. Curiosity about other cultures. A strong grounding in a faith of your own, which can be a secular ideology, perhaps, in some cases, but more often is likely to be a great religious tradition of some kind.

I’m a Christian. I could wish that everyone was, but my friend Shadi Hamid is a Muslim, and I think his Muslim faith actually helps him navigate and understand the world, and I certainly have lots of Jewish friends in the same circumstance. Again, we’re ending up where we started, maybe, but a religious faith, connected to one of the great historical traditions, gives you a degree of insight and potential for self-criticism that are absolutely crucial to foreign affairs.

This transformation made Donald Trump’s presidency possible, and it is a grave mistake. Good character should never be optional in leaders, and strength of character is more important in difficult times.

As a wise retired federal judge once told me, when someone says “Yes, but” the only words that matter come after the “but.” The “yes” is appeasement; the “but” is belief.

We live in a time of partisan animosity so great that an October NBC News poll found that 80 percent of Democrats and Republicans “believe the political opposition poses a threat that, if not stopped, will destroy America as we know it.”

In those circumstances, the quest for character becomes a form of luxury belief. It’s what you cling to in safer, more secure times

That same poll found that “two-thirds of reliable Democratic and Republican voters say they’d still support their party’s political candidate, even if that person had a moral failing that wasn’t consistent with their own values.”

the position of white Evangelicals, in particular, has totally transformed on the matter. Between 2011 and 2016, white Evangelicals went from the American demographic least likely to agree that “an elected official who commits an immoral act in their personal life can still behave ethically and fulfill their duties” to the group most likely to agree with that statement.

Competence is quite often a key by-product of good character. Indeed, I’d say it’s an aspect of good character.

But it’s now wrong to simply assert that truth as self-evident. Millions of Americans disagree

Why are they wrong? The evidence is everywhere, if you know where to look. While bad policy can be extraordinarily consequential, our current political dysfunctions are mainly due to bad character.

Negative partisanship is now a central fact of American politics. Millions of Americans now support their political party not because they love its politicians or its policies, but because they hate and fear the other side.

Consider the challenge of mutual hatred

partisan Americans consistently misjudge their ideological adversaries. They rate them as far more extreme than they really are.

This is the political assertion that meets with perhaps the ultimate “yes, but” response. “Yes, but so does policy.” “Yes, but no one is perfect.” “Yes, but we need to fight fire with fire.”

Or consider the distrust of American institutions.

How many politicians raise money and gain power by stoking as much hatred as possible? How often are they exaggerating the threat of their opponents? How often are they engaged in outright lies?

Most of the Republicans in Congress followed suit

The instant a person becomes so convinced of their own excellence that they lose those qualities is the instant that their hubris can destroy their competence.

American institutions lose trust not just because they’re corrupt (an obvious sign of bad character), but also because they’re sloppy or inefficient, or just can’t accomplish the most necessary tasks.

Or think of the challenges to democracy itself.

The conspiracies that culminated in the violent attempted coup on January 6 were entirely the product of one of the most colossal character failures in the history of the United States. Donald Trump’s malicious lies and will to power were the obvious first causes of the riot

consider the cascading character failures that led to the attack.

Most of Trump’s staff folded

when they crack, all their policy ideas are but dust in the wind. On January 6, for example, America was only one more crack away—a Mike Pence “yes” to Trump’s scheme—from the worst constitutional crisis since 1861.

Almost the entire right-wing infotainment industry gave in

What ultimately stopped Trump? Character. It was the character of judges—including Federalist Society judges—who turned back dozens of election challenges

It was the character of members of Congress, including both Democratic and Republican leaders, who decided they would return to the House chamber and finish counting the electoral votes that would secure Joe Biden’s lawful electoral victory.

While I disagreed with Pence on countless occasions before January 6, he was at the eye of that hurricane, and he stood firm.

Bad character is a long-term threat. The smoking analogy is valid. But January 6 taught me that bad character can function as an immediate threat as well. Like a gun to the head.

the best lawyers, the best doctors, the best military officers, and the best corporate leaders combine a set of skills that include not just self-discipline and an inquisitive mind, but also an innate curiosity and openness that allows them to understand and absorb new information and competing ideas.

“The modern Republican Party is essentially a hostage crisis in which each wing could kill the party by bolting the coalition but only one wing is willing to do it and both sides know it.”

The MAGA wing will stay home if its demands aren’t met. The establishment, by contrast, dutifully marches to the polls, no matter who has the “R” by their name.

This has to change. It is not the case, for example, that a Republican Senate candidate is running “only” to be a vote, and not a leader. There is no such thing as “only” voting.

When you distrust or despise your enemy enough, character is often the first casualty of political combat. But if we kill character, we risk killing our country. We cannot survive the complete corruption of our political class.

it comes at a time when “a confluence of at least four political and technological developments will make its practical effect significant.”

First, technological advances, as used in the Milligan case, make it easier to find new V.R.A. districts that can be reasonably configured.

Second, minority-preferred candidates can win with lower minority voting-age populations (falling from estimates as high as 65 percent in the 1990s to below 45 percent now), which means more minority voters are available to create additional V.R.A. districts.

Third, the private bar has become extremely well resourced to pursue these cases.

Fourth, the debates over partisan gerrymandering in the last decade brought many new strong social scientists into this area, in which expert analysis of maps and voting patterns plays a critical role.

John Roberts’s majority opinion is particularly important because it rejects the argument that race-based remedial districting is unconstitutional:Alabama further argues that, even if the Fifteenth Amendment authorizes the effects test of section 2, that Amendment does not authorize race-based redistricting as a remedy for section 2 violations. But for the last four decades, this Court and the lower federal courts have repeatedly applied the effects test of section 2 as interpreted in Gingles and, under certain circumstances, have authorized race-based redistricting as a remedy for state districting maps that violate section 2.In that context, Roberts continued, “we are not persuaded by Alabama’s arguments that section 2 as interpreted in Gingles exceeds the remedial authority of Congress.”

My best guess is that Roberts and Kavanaugh thought it best to proceed cautiously and bide their time. The court as an institution can only take so many bombshells at a time. The issue will come back to the court soon enough.

But, Tribe continued, “Allen v. Milligan remains highly significant as an essential reminder that the court doesn’t exist in an isolation booth, unaffected by public reactions to its decisions that venture too far from the mainstream of legal and social thought.”

Roberts and Kavanaugh, in Tribe’s view, chose not to press the case against race-based redistricting in part because of “the controversy unleashed by the court in its shattering abortion ruling in Dobbs last June, coupled with other unrestrained shocks to the system delivered by the court in the landmark cases involving guns and climate change, and aggravated by the ethical stench swirling about the court as a result of improprieties.”

These developments, Tribe continued, “almost certainly had an impact, however subconscious, on the chief justice and on Justice Kavanaugh, who has increasingly sought to distance himself from the hard right.”

But Putin tried to sustain his monopoly on truth even as he demonopolized violence, allowing Prigozhin’s Wagner group to fight in Ukraine as an autonomous unit along with the fighters of Chechen warlord Ramzan Kadyrov

“The Ministry of Defense is trying to deceive the public and the president and spin the story that there were insane levels of aggression from the Ukrainian side and that they were going to attack us together with the whole NATO bloc,” he said. “The special operation was started for a completely different reason.”

There’s something bracing and refreshing about hearing the truth — even if it comes from the mouth of a self-interested thug. There’s also something terrifying about it.

To know the truth about the war is to see the awfulness of Russia’s options: a humiliating defeat, a bloody stalemate or escalation that risks a much wider war. There is an additional terror, too, though probably one that runs in a buried vein: the terror of self-indictment, when the apathy or jingoism of ordinary Russians must face the atrocities committed in their name.

the results were consistent with Albert Einstein’s theory of general relativity, which describes how matter and energy warp space-time to create what we call gravity. As more data is gathered, this cosmic hum could help researchers understand how the universe achieved its current structure and perhaps reveal exotic types of matter that may have existed shortly after the Big Bang 13.7 billion years ago.

“The gravitational-wave background was always going to be the loudest, most obvious thing to find,” said Chiara Mingarelli, an astrophysicist at Yale University and a member of NANOGrav, which is funded by the National Science Foundation. “This is really just the beginning of a whole new way to observe the universe.”

Gravitational waves are created by any object that spins, such as the rotating remnants of stellar corpses, orbiting black holes or even two people “doing a do-si-do,” Dr. Mingarelli said. But unlike other types of waves, these ripples stretch and squeeze the very fabric of space-time, warping the distances between any celestial objects they pass by.

Gravitational waves were first detected in 2016 as audible chirps by the Laser Interferometer Gravitational-Wave Observatory, or LIGO, collaboration; the breakthrough solidified Einstein’s theory of general relativity as an accurate model of the universe and earned the project’s founders the Nobel Prize in Physics in 2017. But LIGO’s signals were mostly in the frequency range of a few hundred hertz, and were created by individual pairs of black holes or neutron stars that were 10 to 100 times as massive as our sun.

Each pair of supermassive black holes is generating a different note, Dr. Siemens said, “and what we’re receiving is the sum of all those signals at once.”

If the signal does arise from orbiting pairs of supermassive black holes, studying the gravitational-wave background will shed light on the evolutionary history of these systems and the galaxies surrounding them. But the gravitational-wave background could also be coming from something else, like hypothetical cracks in space-time known as cosmic strings.

Or it could be a relic of the Big Bang, akin to the cosmic microwave background, which led to fundamental discoveries about the structure of the universe to within 400,000 years of its beginning. The gravitational-wave background would be an even better primordial probe, Dr. Mingarelli said, because it would have been emitted almost instantaneously.

To detect the gravitational-wave background, researchers analyzed the lighthouse-like nature of pulsars. These objects act like cosmic clocks, emitting beams of radio waves that can be periodically measured on Earth.

Einstein’s theory of general relativity predicts that as gravitational waves sweep past pulsars, they should expand and shrink the distance between these objects and Earth, changing the time it takes for the radio signals to arrive at observers. And if the gravitational-wave background is indeed everywhere, pulsars across the universe should be affected in a correlated way.

The findings carry a confidence level in the range of 3.5- to 4-sigma, just shy of the 5-sigma standard generally expected by physicists to claim a smoking-gun discovery. That means the odds of seeing a result like this randomly are about 1 in 1,000 years, Dr. Mingarelli said. “That’s good enough for me, but other people want once in a million years,” she said. “We’ll get there eventually.”

f the ripples originated with the Big Bang, they might instead provide insight into the expansion of the cosmos or the nature of dark matter — the invisible glue scientists think holds the universe together — and perhaps even reveal new particles or forces that once existed.

a few more years may be needed to confirm the source of the gravitational-wave background. Researchers have already begun using their data to piece together maps of the universe and to look for intense, nearby regions of gravitational-wave signals indicative of an individual supermassive black hole binary.

the growing divisions between red and blue states represent a reversion to the lines of separation through much of the nation’s history.

“very similar, both geographically and culturally, to the divides between the Union and the Confederacy. And those dividing lines were largely set at the nation’s founding, when slave states and free states forged an uneasy alliance to become ‘one nation.’”

he’s warning that the pressure on the country’s fundamental cohesion is likely to continue ratcheting up in the 2020s

the “MAGA movement”—as the U.S. equivalent to the authoritarian parties in places such as Hungary and Venezuela. It is a multipronged, fundamentally antidemocratic movement that has built a solidifying base of institutional support through conservative media networks, evangelical churches, wealthy Republican donors, GOP elected officials, paramilitary white-nationalist groups, and a mass public following

Virginia has voted like a blue state at the presidential level, and Arizona and Georgia have moved from red to purple. With these three states shifted into those categories, the two “nations” are almost equal in eligible voting-age population, and the blue advantage in GDP roughly doubles, with the blue section contributing 48 percent and the red just 35 percent.)

This divergence itself creates enormous strain on the country’s cohesion, but more and more even that looks like only a way station

the underlying political question of the 2020s remains whether majority rule—and democracy as we’ve known it—can survive this offensive.

Podhorzer defines modern red and blue America as the states in which each party has usually held unified control of the governorship and state legislature in recent years.

By that yardstick, there are 25 red states, 17 blue states, and eight purple states

the red nation houses slightly more of the country’s eligible voting population (45 percent versus 39 percent), but the blue nation contributes more of the total U.S. gross national product: 46 percent versus 40 percent

it is determined to impose its policy and social vision on the entire country—with or without majority support

The hardening difference between red and blue, Podhorzer maintains, “empowers” the 10 purple states (if you include Arizona and Georgia) to “decide which of the two superpower nations’ values, Blue or Red, will prevail” in presidential and congressional elections

that leaves the country perpetually teetering on a knife’s edge: The combined vote margin for either party across those purple states has been no greater than two percentage points in any of the past three presidential elections

That’s a reversal from the middle decades of the 20th century, when the basic trend was toward greater convergence.

One element of that convergence came through what legal scholars call the “rights revolution.” That was the succession of actions from Congress and the Supreme Court, mostly beginning in the 1960s, that strengthened the floor of nationwide rights and reduced the ability of states to curtail those rights.

Key moments in that revolution included the passage of the Civil Rights and Voting Rights Acts and the Supreme Court decisions striking down state bans on contraception, interracial marriage, abortion, and, much later, prohibitions against same-sex intimate relations and marriage.)

Simultaneously, the regional differences were moderated by waves of national investment, including the New Deal spending on rural electrification, the Tennessee Valley Authority, agricultural price supports, and Social Security during the 1930s, and the Great Society programs that provided federal aid for K–12 schools and higher education, as well as Medicare and Medicaid.

The impact of these investments (as well as massive defense spending across both periods) on states that had historically spent little on public services and economic development helped steadily narrow the gap in per capita income between the states of the old Confederacy and the rest of the country from the 1930s until about 1980.

Since about 2008, Podhorzer calculates, the southern states at the heart of the red nation have again fallen further behind the blue nation in per capita income.

red states, as a group, are falling behind blue states on a broad range of economic and social outcomes—including economic productivity, family income, life expectancy, and “deaths of despair” from the opioid crisis and alcoholism.

other measures that show those places in a more favorable light

Housing is often more affordable in red states; partly for that reason, homelessness has become endemic in many big blue cities. Red-state taxes are generally lower than their blue counterparts. Many red states have experienced robust job growth

And red states across the Sun Belt rank among the nation’s fastest growing in population.

blue states are benefiting more as the nation transitions into a high-productivity, 21st-century information economy

red states (apart from their major metropolitan centers participating in that economy) are suffering as the powerhouse industries of the 20th century—agriculture, manufacturing, and fossil-fuel extraction—decline.

The gross domestic product per person and the median household income are now both more than 25 percent greater in the blue section than in the red,

The share of kids in poverty is more than 20 percent lower in the blue section than red, and the share of working households with incomes below the poverty line is nearly 40 percent lower.

Gun deaths are almost twice as high per capita in the red places as in the blue, as is the maternal mortality rate.

Per capita spending on elementary and secondary education is almost 50 percent higher in the blue states compared with red

All of the blue states have expanded access to Medicaid under the Affordable Care Act, while about 60 percent of the total red-nation population lives in states that have refused to do so.

All of the blue states have set a minimum wage higher than the federal level of $7.25, while only about one-third of the red-state residents live in places that have done so.

Right-to-work laws are common in the red states and nonexistent in the blue, with the result that the latter have a much higher share of unionized workers than the former

No state in the blue section has a law on the books banning abortion before fetal viability, while almost all of the red states are poised to restrict abortion rights

Almost all of the red states have also passed “stand your ground” laws backed by the National Rifle Association, which provide a legal defense for those who use weapons against a perceived threat, while none of the blue states have done so.

During the seven decades of legal Jim Crow segregation from the 1890s through the 1960s, the principal goal of the southern states at the core of red America was defensive: They worked tirelessly to prevent federal interference with state-sponsored segregation but did not seek to impose it on states outside the region.

Jim Crow segregation offers an important reference point for understanding how far red states might take this movement to roll back civil rights and liberties—not that they literally would seek to restore segregation, but that they are comfortable with “a time when states” had laws so “entirely different” that they created a form of domestic apartheid.

The flurry of socially conservative laws that red states have passed since 2021, on issues such as abortion; classroom discussions of race, gender, and sexual orientation; and LGBTQ rights, is widening this split. No Democratic-controlled state has passed any of those measures.

he documents a return to historical patterns from the Jim Crow era in which the dominant party (segregationist Democrats then, conservative Republicans now) has skewed the playing field to achieve a level of political dominance in the red nation far beyond its level of popular support

Undergirding that advantage, he argues, are laws that make registering or voting in many of the red states more difficult, and severe gerrymanders that have allowed Republicans to virtually lock in indefinite control of many state legislatures

how the United States will function with two sections that are moving so far apart.

History, in my view, offers two models

bedrock differences dating back to the country’s founding are resurfacing. And one crucial element of that, he argues, is the return of what he calls “one-party rule in the red nation.”

in the last years before the Civil War, the South’s political orientation was offensive: Through the courts (the 1857 Dred Scott decision) and in Congress (the Kansas-Nebraska Act in 1854), its principal aim was to authorize the expansion of slavery into more territories and states

Podhorzer, like Mason and Grumbach, believes that the MAGA movement’s long-term goal is to tilt the electoral rules in enough states to make winning Congress or the White House almost impossible for Democrats

Then, with support from the GOP-appointed majority on the Supreme Court, Republicans could impose red-state values and programs nationwide, even if most Americans oppose them. The “MAGA movement is not stopping at the borders of the states it already controls,” Podhorzer writes. “It seeks to conquer as much territory as possible by any means possible.”

The Trump model, in other words, is more the South in 1850 than the South in 1950, more John Calhoun than Richard Russell

it does mean that the 2020s may bring the greatest threats to the country’s basic stability since those dark and tumultuous years.

From 2015 on, the iPhone images of bad or even terrible cop interactions — amplified by the woke MSM, supercharged by social media — gave an impression of police murderousness out of all proportion to the reality. That’s how so many “very liberal” whites came to believe that over a thousand unarmed black men were killed by cops each year, instead of around a dozen.

Musk’s Twitter now pumps out as many black-crime snuff films as pink-haired trans-teacher videos. It almost doesn’t matter what they say. It’s the impressions they leave — of ubiquitous black crime and of relentless student indoctrination. Each tribe is constantly having its lizard brain primed — not by words or arguments, but by the accumulation of images that operate at a sub-rational level. That’s now Musk’s business model.

And of course this is related to our political dysfunction. The tribalization of our allegiances has led to the dehumanization of our political opponents so that, yes, decency is close to extinct

It’s a bedrock civilizational value. It’s what sets us apart from barbarism. And without it, our level of political polarization is dangerously combustible. One of the first signs of looming social conflict is mutual dehumanization: see an image of your opponent suffering and revel in it. Kick someone when they’ve just been gunned down. Mock anti-vaxxers — even as they die in a hospital bed.

It does not help, of course, that the man now ahead in the race to be president in 2024 has lowered the bar of personal decency so far it scarcely scrapes the floor. From mocking the wounded in battle to reveling in an activist’s murder is a short journey. The fish rots from the head down.

I mention Orwell’s notion of common decency because he believed this simple personal virtue was related to Western freedom and resistance to totalitarianism. Decency is not exclusively Christian, and many American Christianists seem to show little interest in it these days. But there is something Christian in not gloating over or mocking the sick or the weak or the victims of terrible crime. Who wants to live in a world where cruelty is cool, and where someone’s human pain is just another’s tribal propaganda?

Over the next several hours, militants rampaged through around two dozen Israeli towns—killing, looting, burning, kidnapping, and reportedly raping civilians. They managed to penetrate as far as Ofakim, 20 miles into Israel. They effectively controlled several main roads, on which they gunned down passing traffic. It took the IDF 6 hours to begin seriously engaging the militants. 18 hours after the incursion began, fighting was taking place in 22 spots. It took over 48 hours before the last of the major clashes with this first wave of the militants’ incursion was over and the militants neutralized.

In total, as of the morning of October 11th, over 1,200 Israelis are confirmed killed, almost 3,000 wounded (hundreds critically), and somewhere between 100 and 150 kidnapped, including whole families with toddlers and senior citizens.

For months, Netanyahu has been cautioned that his divisive “governance reforms” represented a reckless gamble with the country’s national security. He received numerous private (and then public) warnings from every major security chief that his policies were eroding IDF preparedness and provoking Israel’s enemies to test its readiness. Netanyahu ignored, dismissed, or ridiculed every one of these warnings. He and his acolytes have systematically castigated those who voiced concern as disloyal “agents of the deep state” or, worse, “leftist traitors.”

The events of October 7th represented a colossal intelligence failure. With or without substantial Iranian assistance, it is now clear that Hamas had been preparing the attack for over a year. Astonishingly, it apparently did so without major leaks. The few tell-tale signs of an impending attack that did surface appear to have been ignored.

Taken by surprise, and made to fight for their lives in understaffed outposts, the IDF was operationally incapable of adequately responding to the militants’ land maneuver. Unarmed civilians were left to fend for themselves for long hours, with horrific consequences.

What will make October 7th uniquely egregious in the eyes of many Israelis (perhaps most) is the fact that events of this sort were not only reasonably foreseeable but were repeatedly foreseen and repeatedly ignored by Israel’s current leadership.

at least 950 Palestinians have been killed in retaliatory IAF air strikes.

As long as Israel faces immediate danger, all hands will be on deck and party politics largely put aside.

As long as the emergency continues, therefore, Netanyahu won’t have to face the pressure of public protests against his program to weaken the Israeli judiciary.          

But in the longer term, it is difficult to see how Netanyahu, the great political survivor, will survive the events of October 7th. His reputation as “Mr. Security” is in tatters and it is impossible to see how it could possibly recover.

Analysts keen to convey the magnitude of October 7th to American audiences have already tagged it Israel’s Pearl Harbor or 9/11. Neither label adequately captures the day’s true significance.

A more accurate name might be something like “Israel’s civic Yom Kippur.” Why? Because the very existence of the State of Israel was supposed to guarantee that a day like this would never happen. In the Yom Kippur War of October 1973—when Egypt and Syria launched a surprise assault—Israel lost some 2,700 soldiers, but it managed to effectively protect its civilian population. No Israeli towns or villages were ever breached. The social contract was honored, albeit at a terrible price.

On October 7, 2023, it was primarily civilians who were killed, maimed, and kidnapped. This was the day when the IDF wasn’t there to defend the people it was created to protect. This was the day when—livestreamed on social media—distraught family members saw their loved ones carried away, like livestock, into Hamas captivity in Gaza. This was the day when—in a horrifying echo of the Holocaust—defenseless Jewish mothers, citizens of a sovereign Jewish State, tried to keep their babies from crying as armed men lurked outside, listening to ascertain whether anyone was alive inside the home, before setting it on fire.

many Israelis, already mistrustful of their elected representatives and worn out by internal divisions, may have finally lost faith in their national leaders or, worse, in the core institutions of their nation state. Where was the army when murderous gunmen broke into our homes deep inside Israel itself?

Fifty years ago, in the aftermath of the 1973 Yom Kippur War, Israel appeared broken, internally torn, and internationally isolated. Yet, it proved itself remarkably resilient. Can Israel gather itself again from the terrible blow it sustained on October 7th? I have no doubt that it can.

Whichever way you cut it, global warming is already happening too fast to generously support life, which our prior climate did quite well. As a feebly supportive climate devolves into an unsupportive one, it won’t matter who forecasted the timing right, only that we missed our chance at the good version of Earth.

The scientist James Hansen, famous for his early warnings about climate change, suggested in a paper released last week with a suite of high-level colleagues that warming is accelerating more rapidly than is presently understood: In their view, that the Earth could exceed 1.5 degrees of warming this decade is practically assured, and 2 degrees by 2050 is likely unless the world eliminates fossil-fuel use far faster than planned.

One expert who worked on the UN report called this “insanity,” a “climate disaster of our own making.” The climate math is not adding up.

the loss of much of West Antarctica’s ice sheet is now virtually inevitable. Even if future emissions are drastically curtailed, enough warming is probably locked in to wash the bulk of the sheet away. At best, she says, we are on the brink of its total loss becoming assured

by one estimate, the West Antarctic ice sheet contains enough water to raise sea level globally by just over five meters, or 17 feet. At the very least, Naughten told me, she thinks it would be wise to plan for two to three meters of sea-level rise, or six to ten feet, in the next couple of centuries

I shudder to think what would happen if everyone living within two meters of sea level would be displaced,” she added. That “everyone” is projected to include some 410 million by 2100.

Previous studies have warned of the ice sheet’s collapse if emissions were not drawn down; hers now suggests that we’ve passed the point of no return, that even significant emissions cuts would be too late for this particular ice sheet. (The East Antarctic ice sheet, she said, is far more stable—and good thing, because it contains enough frozen water for 10 times the amount of sea-level rise as its western counterpart.

France, Ireland, Kenya, Spain, and 12 other countries have called for a global accord to phase out fossil-fuel production. There is little doubt that this is necessary; adding more fossil fuels to the pipeline is quite obviously counterproductive to slowing, then stopping, climate change.

Yet in the U.S. alone, a country responsible for at least 20 percent of historical emissions, the current buildout of liquified-natural-gas infrastructure, intended to export the country’s plentiful gas, is the largest fossil-fuel expansion proposed in the world—and it’s happening under a president who recently passed the most impactful climate legislation the country has ever seen

China, which is responsible for about 12 percent of historical emissions according to Alex Wang, who studies Chinese environmental governance at UCLA, has one of the largest clean-power programs in the world. But the country is at the same time dramatically expanding its coal production.

the difference between the world we have and the one we could have is buried in two contrasting modeling reports by two of the world’s most important energy-information organizations.

Whereas the International Energy Agency projected that we’d hit peak fossil-fuel use in 2030, the U.S. Energy Information Administration came to a very different conclusion: It saw demand for fossil fuels rising through at least 2050

If a policy is set to expire, the U.S. EIA treats it as expiring. It doesn’t take into account policies that countries have talked about but have had yet to implement. The international agency’s analysis, in contrast, assumes countries will follow through with more climate-friendly policies and renew the ones they already have on the books. “Look how different things could be,” Bowman said. The difference is night and day, despair and hope.

Policy, and only policy, appears to make that difference. It represents the choices that our leaders make about when to finally change course.

“climate is a spectrum; it isn’t an on/off switch.” Whenever we do make a different set of decisions, ones that make the math properly compute, we will be saving what we have left, preventing some layer of livability from being irrecoverably sloughed off and swept away.

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.

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.