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Teachers are not only burnt out and undercompensated, they are also demoralized. They are being asked to do things in the name of teaching that they believe are mis-educational and harmful to students and the profession. What made this work good for them is no longer accessible. That is why we are hearing so many refrains of “I’m not leaving the profession, my profession left me.”

We find there are at least 36,000 vacant positions along with at least 163,000 positions being held by underqualified teachers, both of which are conservative estimates of the extent of teacher shortages nationally.

“The current problem of teacher shortages (I would further break this down into vacancy and under-qualification) is higher than normal.” The data, Nguyen continued, “indicate that shortages are worsening over time, particularly over the last few years

a growing gap between the pay of all college graduates and teacher salaries from 1979 to 2021, with a sharp increase in the differential since 2010

The number of qualified teachers is declining for the whole country and the vast majority of states.

Wages are essentially unchanged from 2000 to 2020 after adjusting for inflation. Teachers have about the same number of students. But, teacher accountability reforms have increased the demands on their positions.

The pandemic was very difficult for teachers. Their self-reported level of stress was about as twice as high during the pandemic compared to other working adults. Teachers had to worry both about their personal safety and deal with teaching/caring for students who are grieving lost family members.

the number of students graduating from college with bachelor’s degrees in education fell from 176,307 in 1970-71 to 104,008 in 2010-11 to 85,058 in 2019-20.

We do see that southern states (e.g., Mississippi, Alabama, Georgia and Florida) have very high vacancies and high vacancy rates.”

By 2021, teachers made $1,348, 32.9 percent less than what other graduates made, at $2,009.

These gaps play a significant role in determining the quality of teachers,

Sixty percent of teachers and 65 percent of principals reported believing that systemic racism exists. Only about 20 percent of teachers and principals reported that they believe systemic racism does not exist, and the remainder were not sure

“We find,” they write, “that teachers’ cognitive skills differ widely among nations — and that these differences matter greatly for students’ success in school. An increase of one standard deviation in teacher cognitive skills is associated with an increase of 10 to 15 percent of a standard deviation in student performance.”

teachers have lower cognitive skills, on average, in countries with greater nonteaching job opportunities for women in high-skill occupations and where teaching pays relatively less than other professions.

the scholars found that the cognitive skills of teachers in the United States fell in the middle ranks:Teachers in the United States perform worse than the average teacher sample-wide in numeracy, with a median score of 284 points out of a possible 500, compared to the sample-wide average of 292 points. In literacy, they perform slightly better than average, with a median score of 301 points compared to the sample-wide average of 295 points.

Increasing teacher numeracy skills by one standard deviation increases student performance by nearly 15 percent of a standard deviation on the PISA math test. Our estimate of the effect of increasing teacher literacy skills on students’ reading performance is slightly smaller, at 10 percent of a standard deviation.

How, then, to raise teacher skill level in the United States? Hanushek and his two colleagues have a simple answer: raise teacher pay to make it as attractive to college graduates as high-skill jobs in other fields.

policymakers will need to do more than raise teacher pay across the board to ensure positive results. They must ensure that higher salaries go to more effective teachers.

The teaching of disputed subjects in schools has compounded many of the difficulties in American education.

The researchers found that controversies over critical race theory, sex education and transgender issues — aggravated by divisive debates over responses to Covid and its aftermath — are inflicting a heavy toll on teachers and principals.

“On top of the herculean task of carrying out the essential functions of their jobs,” they write, “educators increasingly find themselves in the position of addressing contentious, politicized issues in their schools as the United States has experienced increasing political polarization.”

Teachers and principals, they add, “have been pulled in multiple directions as they try to balance and reconcile not only their own beliefs on such matters but also the beliefs of others around them, including their leaders, fellow staff, students, and students’ family members.”

These conflicting pressures take place in a climate where “emotions in response to these issues have run high within communities, resulting in the harassment of educators, bans against literature depicting diverse characters, and calls for increased parental involvement in deciding academic content.”

Forty-eight percent of principals and 40 percent of teachers reported that the intrusion of political issues and opinions in school leadership or teaching, respectively, was a job-related stressor. By comparison, only 16 percent of working adults indicated that the intrusion of political issues and opinions in their jobs was a source of job-related stress

In 1979, the average teacher weekly salary (in 2021 dollars) was $1,052, 22.9 percent less than other college graduates’, at $1,364

Nearly all Black or African American principals (92 percent) and teachers (87 percent) reported believing that systemic racism exists.

White educators working in predominantly white school systems reported substantially more pressure to deal with politically divisive issues than educators of color and those working in mostly minority schools: “Forty-one percent of white teachers and 52 percent of white teachers and principals selected the intrusion of political issues and opinions into their professions as a job-related stressor, compared with 36 percent of teachers of color and principals of color.

and opinions into their professions as a job-related stressor, compar

A 54 percent majority of teachers and principals said there “should not be legal limits on classroom conversations about racism, sexism, and other topics,” while 20 percent said there should be legislated constraint

Voters, in turn, are highly polarized on the teaching of issues impinging on race or ethnicity in public schools. The Education Next 2022 Survey asked, for example:Some people think their local public schools place too little emphasis on slavery, racism and other challenges faced by Black people in the United States. Other people think their local public schools place too much emphasis on these topics. What is your view about your local public schools?

Among Democrats, 55 percent said too little emphasis was placed on slavery, racism and other challenges faced by Black people, and 8 percent said too much.

Among Republicans, 51 said too much and 10 percent said too little.

Because of the lack of reliable national data, there is widespread disagreement among scholars of education over the scope and severity of the shortage of credentialed teachers, although there is more agreement that these problems are worse in low-income, high majority-minority school systems and in STEM and special education faculties.

Public schools increasingly are targets of conservative political groups focusing on what they term “Critical Race Theory,” as well as issues of sexuality and gender identity. These political conflicts have created a broad chilling effect that has limited opportunities for students to practice respectful dialogue on controversial topics and made it harder to address rampant misinformation.

The chilling effect also has led to marked declines in general support for teaching about race, racism, and racial and ethnic diversity.

These political conflicts, the authors wrote,have made the already hard work of public education more difficult, undermining school management, negatively impacting staff, and heightening student stress and anxiety. Several principals shared that they were reconsidering their own roles in public education in light of the rage at teachers and rage at administrators’ playing out in their communities.

State University of New York tracked trends on “four interrelated constructs: professional prestige, interest among students, preparation for entry, and job satisfaction” for 50 years, from the 1970s to the present and founda consistent and dynamic pattern across every measure: a rapid decline in the 1970s, a swift rise in the 1980s, relative stability for two decades, and a sustained drop beginning around 2010. The current state of the teaching profession is at or near its lowest levels in 50 years.

Who among the next generation of college graduates will choose to teach?

Perceptions of teacher prestige have fallen between 20 percent and 47 percent in the last decade to be at or near the lowest levels recorded over the last half century

Interest in the teaching profession among high school seniors and college freshmen has fallen 50 percent since the 1990s, and 38 percent since 2010, reaching the lowest level in the last 50 years

the proportion of college graduates that go into teaching is at a 50-year low

Teachers’ job satisfaction is also at the lowest level in five decades, with the percent of teachers who feel the stress of their job is worth it dropping from 81 percent to 42 percent in the last 15 years

The combination of these factors — declining prestige, lower pay than other professions that require a college education, increased workloads, and political and ideological pressures — is creating both intended and unintended consequences for teacher accountability reforms mandating tougher licensing rules, evaluations and skill testing.

Education policy over the past decade has focused considerable effort on improving human capital in schools through teacher accountability. These reforms, and the research upon which they drew, were based on strong assumptions about how accountability would affect who decided to become a teacher. Counter to most assumptions, our findings document how teacher accountability reduced the supply of new teacher candidates by, in part, decreasing perceived job security, satisfaction and autonomy.

The reforms, Kraft and colleagues continued, increasedthe likelihood that schools could not fill vacant teaching positions. Even more concerning, effects on unfilled vacancies were concentrated in hard-to-staff schools that often serve larger populations of low-income students and students of color

We find that evaluation reforms increased the quality of newly hired novice teachers by reducing the number of teachers that graduated from the least selective institutions

We find no evidence that evaluation reforms served to attract teachers who attended the most selective undergraduate institutions.

In other words, the economic incentives, salary structure and work-life pressures characteristic of public education employment have created a climate in which contemporary education reforms have perverse and unintended consequences that can worsen rather than alleviate the problems facing school systems.

If so, to improve the overall quality of the nation’s more than three million public schoolteachers, reformers may want to give priority to paychecks, working conditions, teacher autonomy and punishing workloads before attempting to impose higher standards, tougher evaluations and less job security.

During the 20th century, the list got much longer. In came existential crises, midlife crises, energy crises and environmental crises. When Koselleck was writing about the subject in the 1970s, he counted up more than 200 kinds of crisis we could then face

Waking up each morning to hear about the latest crisis is dispiriting for some, but throughout history it has been a bracing experience for others. In 1857, Friedrich Engels wrote in a letter that “the crisis will make me feel as good as a swim in the ocean”. A hundred years later, John F Kennedy (wrongly) pointed out that in the Chinese language, the word “crisis” is composed of two characters, “one representing danger, and the other, opportunity”. More recently, Elon Musk has argued “if things are not failing, you are not innovating enough”.

Victor H Mair, a professor of Chinese literature at the University of Pennsylvania, points out that in fact the Chinese word for crisis, wēijī, refers to a perilous situation in which you should be particularly cautious

“Those who purvey the doctrine that the Chinese word for ‘crisis’ is composed of elements meaning ‘danger’ and ‘opportunity’ are engaging in a type of muddled thinking that is a danger to society,” he writes. “It lulls people into welcoming crises as unstable situations from which they can benefit.” Revolutionaries, billionaires and politicians may relish the chance to profit from a crisis, but most people world prefer not to have a crisis at all.

A 2019 study which involved observing participants using bricks, found that those who had been threatened before the task tended to come up with more harmful uses of the bricks (such as using them as weapons) than people who did not feel threatened

The first world war sparked the growth of modernism in painting and literature. The second fuelled innovations in science and technology. The economic crises of the 1970s and 80s are supposed to have inspired the spread of punk and the creation of hip-hop

psychologists have also found that when we are threatened by a crisis, we become more rigid and locked into our beliefs. The creativity researcher Dean Simonton has spent his career looking at breakthroughs in music, philosophy, science and literature. He has found that during periods of crisis, we actually tend to become less creative.

When he looked at 5,000 creative individuals over 127 generations in European history, he found that significant creative breakthroughs were less likely during periods of political crisis and instability.

psychologists have found that it is what they call “malevolent creativity” that flourishes when we feel threatened by crisis.

These are innovations that tend to be harmful – such as new weapons, torture devices and ingenious scams.

A common folk theory is that times of great crisis also lead to great bursts of creativity.

Students presented with information about a threatening situation tended to become increasingly wary of outsiders, and even begin to adopt positions such as an unwillingness to support LGBT people afterwards.

during moments of crisis – when change is really needed – we tend to become less able to change.

When we suffer significant traumatic events, we tend to have worse wellbeing and life outcomes.

, other studies have shown that in moderate doses, crises can help to build our sense of resilience.

we tend to be more resilient if a crisis is shared with others. As Bruce Daisley, the ex-Twitter vice-president, notes: “True resilience lies in a feeling of togetherness, that we’re united with those around us in a shared endeavour.”

Crises are like many things in life – only good in moderation, and best shared with others

The challenge our leaders face during times of overwhelming crisis is to avoid letting us plunge into the bracing ocean of change alone, to see if we sink or swim. Nor should they tell us things are fine, encouraging us to hide our heads in the san

during moments of significant crisis, the best leaders are able to create some sense of certainty and a shared fate amid the seas of change.

This means people won’t feel an overwhelming sense of threat. It also means people do not feel alone. When we feel some certainty and common identity, we are more likely to be able to summon the creativity, ingenuity and energy needed to change things.

this is the key part—people did not accept the reasonable expectations. They fought and organized and worked. They bent the curve of the future.

now is no time for celebration. To use a World War II analogy, we’ve survived Dunkirk, the Blitz and Pearl Harbor—but much damage has been done, the enemies of liberalism remain formidable, and we’ve only just begun the effort to regain ground. Even if victory is possible, there is a long and difficult road ahead.

Perhaps Churchill’s 1941 Christmas Eve address from the White House, where he was visiting Roosevelt, is apt.

“Let the children have their night of fun and laughter,” he remarked. And “Let us grown-ups share to the full in their unstinted pleasure.”But Churchill added that, after sharing that moment of pleasure, we will have to “turn again to the stern task and the formidable years that lie before us, resolved that, by our sacrifice and daring, these same children shall not be robbed of their inheritance or denied their right to live in a free and decent world.”

Google has been worried about A.I.-powered competitors since OpenAI, a San Francisco start-up that is working with Microsoft, demonstrated a chatbot called ChatGPT in November. About two weeks later, Google created a task force in its search division to start building A.I. products,

Modernizing its search engine has become an obsession at Google, and the planned changes could put new A.I. technology in phones and homes all over the world.

Magi would keep ads in the mix of search results. Search queries that could lead to a financial transaction, such as buying shoes or booking a flight, for example, would still feature ads on their results pages.

Google has been doing A.I. research for years. Its DeepMind lab in London is considered one of the best A.I. research centers in the world, and the company has been a pioneer with A.I. projects, such as self-driving cars and the so-called large language models that are used in the development of chatbots. In recent years, Google has used large language models to improve the quality of its search results, but held off on fully adopting A.I. because it has been prone to generating false and biased statements.

Now the priority is winning control of the industry’s next big thing. Last month, Google released its own chatbot, Bard, but the technology received mixed reviews.

The system would learn what users want to know based on what they’re searching when they begin using it. And it would offer lists of preselected options for objects to buy, information to research and other information. It would also be more conversational — a bit like chatting with a helpful person.

The Samsung threat represented the first potential crack in Google’s seemingly impregnable search business, which was worth $162 billion last year.

Last week, Google invited some employees to test Magi’s features, and it has encouraged them to ask the search engine follow-up questions to judge its ability to hold a conversation. Google is expected to release the tools to the public next month and add more features in the fall, according to the planning document.

The company plans to initially release the features to a maximum of one million people. That number should progressively increase to 30 million by the end of the year. The features will be available exclusively in the United States.

Google has also explored efforts to let people use Google Earth’s mapping technology with help from A.I. and search for music through a conversation with a chatbot

A tool called GIFI would use A.I. to generate images in Google Image results.

Tivoli Tutor, would teach users a new language through open-ended A.I. text conversations.

Yet another product, Searchalong, would let users ask a chatbot questions while surfing the web through Google’s Chrome browser. People might ask the chatbot for activities near an Airbnb rental, for example, and the A.I. would scan the page and the rest of the internet for a response.

“If we are the leading search engine and this is a new attribute, a new feature, a new characteristic of search engines, we want to make sure that we’re in this race as well,”

For researchers concerned with more immediate AI risks, such as bias, disinformation and job displacement, the voices of doom are a distraction. Professor Brent Mittelstadt, director of research at the Oxford Internet Institute, said the warnings of “the existential risks community” are overblown. “The problem is you can’t disprove the future scenarios . . . in the same way you can’t disprove science fiction.” Emily Bender, a professor of linguistics at the University of Washington, believes the doomsters are propagating “unhinged AI hype, helping those building this stuff sell it”.

Those urging us to stop, pause and think again have a useful card up our sleeves: the people building these models do not fully understand them. AI like ChatGPT is made up of huge neural networks that can defy their creators by coming up with “emergent properties”.

Google’s PaLM model started translating Bengali despite not being trained to do so

Let’s not forget the excitement, because that is also part of Moloch, driving us forward. The lure of AI’s promises for humanity has been hinted at by DeepMind’s AlphaFold breakthrough, which predicted the 3D structures of nearly all the proteins known to humanity.

Noam Shazeer, a former Google engineer credited with setting large language models such as ChatGPT on their present path, was asked by The Sunday Times how the models worked. He replied: “I don’t think anybody really understands how they work, just like nobody really understands how the brain works. It’s pretty much alchemy.”

The industry is turning itself to understanding what has been created, but some predict it will take years, decades even.

Alex Heath, deputy editor of The Verge, who recently attended an AI conference in San Francisco. “It’s clear the people working on generative AI are uneasy about the worst-case scenario of it destroying us all. These fears are much more pronounced in private than they are in public.” One figure building an AI product “said over lunch with a straight face that he is savoring the time before he is killed by AI”.

Greg Brockman, co-founder of OpenAI, told the TED2023 conference this week: “We hear from people who are excited, we hear from people who are concerned. We hear from people who feel both those emotions at once. And, honestly, that’s how we feel.”

A CBS interviewer challenged Sundar Pichai, Google’s chief executive, this week: “You don’t fully understand how it works, and yet you’ve turned it loose on society?

In 2020 there wasn’t a single drug in clinical trials developed using an AI-first approach. Today there are 18

Consider this from Bill Gates last month: “I think in the next five to ten years, AI-driven software will finally deliver on the promise of revolutionising the way people teach and learn.”

If the industry is aware of the risks, is it doing enough to mitigate them? Microsoft recently cut its ethics team, and researchers building AI outnumber those focused on safety by 30-to-1,

The concentration of AI power, which worries so many, also presents an opportunity to more easily develop some global rules. But there is little agreement on direction. Europe is proposing a centrally defined, top-down approach. Britain wants an innovation-friendly environment where rules are defined by each industry regulator. The US commerce department is consulting on whether risky AI models should be certified. China is proposing strict controls on generative AI that could upend social order.

Part of the drive to act now is to ensure we learn the lessons of social media. Twenty years after creating it, we are trying to put it back in a legal straitjacket after learning that its algorithms understand us only too well. “Social media was the first contact between AI and humanity, and humanity lost,” Yuval Harari, the Sapiens author,

Others point to bioethics, especially international agreements on human cloning. Tegmark said last week: “You could make so much money on human cloning. Why aren’t we doing it? Because biologists thought hard about this and felt this is way too risky. They got together in the Seventies and decided, let’s not do this because it’s too unpredictable. We could lose control over what happens to our species. So they paused.” Even China signed up.

One voice urging calm is Yann LeCun, Meta’s chief AI scientist. He has labelled ChatGPT a “flashy demo” and “not a particularly interesting scientific advance”. He tweeted: “A GPT-4-powered robot couldn’t clear up the dinner table and fill up the dishwasher, which any ten-year-old can do. And it couldn’t drive a car, which any 18-year-old can learn to do in 20 hours of practice. We’re still missing something big for human-level AI.” If this is sour grapes and he’s wrong, Moloch already has us in its thrall.

Some of Trump’s Christian followers do appear to have grown to see him as a kind of religious figure. He is a savior. I think it began with the sense that he was uniquely committed to saving them from their foes (liberals, Democrats, elites, seculars, illegal immigrants, etc.) and saving America from all that threatens it.

In this sense, Gushee continued, “a savior does not have to be a good person but just needs to fulfill his divinely appointed role. Trump is seen by many as actually having done so while president.”

This view of Trump is especially strong “in the Pentecostal wing of the conservative Christian world,” Gushee wrote, wherehe is sometimes also viewed as an anointed leader sent by God. “Anointed” here means set apart and especially equipped by God for a holy task. Sometimes the most unlikely people got anointed by God in the Bible. So Trump’s unlikeliness for this role is actually evidence in favor.

The prosecutions underway against Trump have been easily interpretable as signs of persecution, which can then connect to the suffering Jesus theme in Christianity. Trump has been able to leverage that with lines like, “They’re not persecuting me. They’re persecuting you.” The idea that he is unjustly suffering and, in so doing, vicariously absorbing the suffering that his followers would be enduring is a powerful way for Trump to be identified with Jesus.

Robert P. Jones, the founder and chief executive of P.R.R.I. (formerly the Public Religion Research Institute), contends that Trump’s religious claims are an outright fraud:Trump has given us adequate evidence that he has little religious sensibility or theological acuity. He has scant knowledge of the Bible, he has said that he has never sought forgiveness for his sins, and he has no substantive connection to a church or denomination. He’s not only one of the least religious but also likely one of the most theologically ignorant presidents the country has ever had.

If people wanted to make him out to be savior, anointed one and agent of God, he would not object

Lacking any inner spiritual or moral compass that would seek to deflect overinflated or even idolatrous claims about himself, he instead reposted their artwork and videos and so on. Anyone truly serious about the Christian faith would deflect claims to being a savior or anointed one, but he did not have such brakes operating.

there are evangelicals of the charismatic and Pentecostal variety — the so-called New Apostolic Reformation or Independent Network Charismatics — who believe that Donald Trump is an agent of God to rescue the United States from the atheistic, even demonic, secularists and progressives who want to destroy the country by advancing abortion, gay marriage, wokeness, transgenderism, etc.

“This whole movement,” Fea wrote,is rooted in prophecy. The prophets speak directly to God and receive direct messages from him about politics. They think that politics is a form of spiritual warfare and believe that God is using Donald Trump to help wage this war. (God can even use sinners to accomplish his will — there are a lot of biblical examples of this, they say.)

As far as Trump goes, Fea continued, “he probably thinks these charismatics and Pentecostals are crazy. But if they are going to tell him he is God’s anointed one, he will gladly accept the title and use it if it wins him votes. He will happily accept their prayers because it is politically expedient.”

The more interesting case, Gushee wrote,is Trump himself. I accept as given that he entered politics as the amoral, worldly, narcissistic New York businessman that he appeared to be. Like all G.O.P. politicians, he knew he would have to win over the conservative Christian voting bloc so central to the party.

Trump, Jones added in an email, “almost certainly lacks the kind of religious sensibility or theological framework necessary to personally grasp what it would even mean to be a Jesus-like, messianic figure.”

According to Jones, in order to rationalize this quasi-deification of Trump — despite “his crassness and vulgarity, divorces, mocking of disabled people, his overt racism and a determination by a court that he sexually abused advice columnist E. Jean Carroll” — white evangelicals refer not to Jesus but the Persian King Cyrus from the book of Isaiah in the Hebrew Bible.”

Cyrus is the model of an ungodly king who nonetheless frees a group of Jews who are held captive in Babylon. It took white evangelicals themselves a while to settle on an explanation for their support, but this characterization of Trump was solidified in a 2018 film that came out just before the 2018 midterms entitled “The Trump Prophecy,” which portrayed Trump as the only leader who could save America from certain cultural collapse.

According to Jones, “White evangelicals’ stalwart, enduring support for Trump tells us much more about who they see themselves to be than who they think Trump is. As I argued in my most recent book, ‘The Hidden Roots of White Supremacy,’” Jones continued in his email, “the primary force animating white evangelical Protestant politics — one that has been with us since before the founding of the Republic — is the vision of America as a nation primarily of, by and for white Christians.”

“a majority (56 percent) of white evangelical Protestants, compared to only one-third of all Americans, believed that ‘God intended America to be a new promised land where European Christians could create a society that could be an example to the rest of the world.’”

Jones argued that Trump’s declaration on the Ellipse on Jan. 6, 2021 — “We fight like hell. And if you don’t fight like hell, you’re not going to have a country anymore” — was a direct appeal “to this sense of divine entitlement of those who believed this mythology strongly enough to engage in a violent insurrection.”

“White evangelicals,” Guth found, “are invariably the most populist: more likely to favor strong leadership (even when that means breaking the rules), to distrust government, to see the country on the wrong track and to think that the majority should always rule (and minorities adapt).”

Guth also found thatanother salient trait of populist politics is the willingness to ignore democratic civility. We constructed a “rough politics” score from three A.N.E.S. items: whether protesters deserve what they get if they are hurt in demonstrating, whether the country would be better off if it got rid of rotten apples and whether people are “too sensitive” about political discourse. Here the usual pattern recurs: Evangelical affiliation, evangelical identity and biblical literalism predicts agreement with those assertions, while religious minorities, secular folks and progressives tend to demur.

Guth wrote that his “findings help us understand what many have struggled to comprehend: How can white evangelical Protestants continue to provide strong support for President Donald Trump, whose personal values and behavior trample on the biblical and ethical standards professed by that community?”

The most common explanation, according to Guth,is that white evangelicals have a transactional relationship with the president: As long as he nominates conservative jurists and makes appropriate gestures on abortion and sexual politics, they will support him.

“The evidence here,” he wrote, “suggests a more problematic answer”:White evangelicals share with Trump a multitude of attitudes, including his hostility toward immigrants, his Islamophobia, his racism and nativism, as well as his political style, with its nasty politics and assertion of strong, solitary leadership. Indeed, Trump’s candidacy may have “authorized” for the first time the widespread expression of such attitudes.

The pervasive populism of white evangelical laity not only helps explain their support for President Trump but suggests powerful barriers to influence by cosmopolitan internationalist evangelical elites, who want to turn the community in a different direction. As hostile responses to efforts of antipopulist evangelicals like Michael Gerson, Russell Moore, David Platt and many others indicate, there is currently a very limited market for such alternative perspectives among the rank and file.

Nor does cosmopolitan or cooperative internationalism find much purchase among local evangelical clergy. Analysis of the 2017 Cooperative Clergy Survey shows that ministers from several evangelical denominations, especially the large Southern Baptist Convention and Assemblies of God, exhibit exactly the same populist traits seen here in white evangelical laity, but in more pronounced form: strong Islamophobia, Christian nationalism, extreme moral traditionalism, opposition to trade pacts, militaristic attitudes, resistance to political compromise and climate change denial, among others.

In other words, conservative populism, with all its antidemocratic implications, has taken root in America. What we don’t know is for how long — or how much damage it will do.

But only a handful of cancers—of the breast, lung, colon and cervix—have screening tests recommended by the U.S. Preventive Services Task Force

Many companies are developing blood tests that can detect cancer signals before symptoms occur, and Grail’s is the most advanced. A study found it can identify more than 50 types of cancer 52% of the time and the 12 deadliest cancers in Stages I through III 68% of the time.

There’s a hitch. The test costs $949 and isn’t covered by Medicare or most private insurance.

The trouble is that this cancer is almost never caught early. There’s no routine screening for it, and symptoms don’t develop until it is advanced. Mr. Royse, 64, had no idea he was sick until he took a blood test called Galleri, produced by the Menlo Park, Calif., startup Grail. He had surgery and chemotherapy and is now cancer-free.

Mr. Royse visited Grail’s website, which referred him to a telemedicine provider who ordered a test. Another telemedicine doctor walked him through his results, which showed a cancer signal likely emanating from the pancreas, gallbladder, stomach or esophagus.

An MRI revealed a suspicious mass on his pancreas, which a biopsy confirmed was cancerous. Mr. Royse had three months of chemotherapy, surgery and another three months of chemotherapy, which ended last February. Because pancreatic cancer often recurs, he gets CT and MRI scans every three months. In addition, he has signed up for startup Natera’s Signatera customized blood test, which checks DNA specific to the patient’s cancer and can signal its return before signs are visible on the scans

Grail’s test likewise looks for DNA shed by cancer cells, which is tagged by molecules called methyl groups that are specific to a cancer’s origin. Grail uses genetic sequencing and machine learning to recognize links between DNA methyl groups and particular cancers

The test “is based on how much DNA is being shed by tumor,” Grail’s president, Josh Ofman, says. “Some tumors shed a lot of DNA. Some shed almost none.

ut slow-growing tumors typically aren’t shedding a lot of DNA.” That reduces the probability that Grail’s test will identify indolent cancers that pose no immediate danger.

Grail’s test has a roughly 0.5% false-positive rate, meaning 1 in 200 patients who don’t have cancer will get a positive signal

Its positive predictive value is 43%, so that of every 100 patients with a positive signal, 43 actually have cancer

the legislation’s price tag could reduce political support. According to one private company’s estimate, the test could cost the government $39 billion to $145 billion over a decade. Mr. Goldman counters that analysts usually overestimate the costs and underestimate the benefits of medical interventions.

Because Grail uses machine learning to detect DNA-methylation cancer linkages, the Grail test’s accuracy should improve as more tests and patient data are collected

regulators may balk at approving the test, and insurers at covering it, until it becomes cheaper and more reliable.

How would the FDA weigh the risk that a false positive on a test like Grail’s could require invasive follow-up testing against the dire but hard-to-quantify risk that a deadly cancer wouldn’t be caught until it’s much harder to treat? It’s unclear.

some experts urge the FDA to require large randomized controlled trials before approving blood cancer tests. “Multicancer screening would entail tremendous costs and potentially substantial harms,” H. Gilbert Welch and Tanujit Dey of Brigham and Women’s Hospital wrote

Dr. Welch and Mr. Dey also suggested that companies should be required to prove their tests reduce overall mortality, even though the FDA doesn’t require drugmakers to prove their products reduce deaths or extend life. Clinical trials for the mRNA Covid vaccines didn’t show they reduced deaths.

One alternative is to rely on real-world studies, which Grail is already doing. One study of patients 50 and older without signs of cancer showed that the test doubled the number of cancers detected.

One recurring problem he has seen: “Epidemiologists are always getting cancer wrong,” he says. “Epidemiologists a decade ago said U.S. overtreats cancers. Well, no, the EU undertreats cancer.”

A 2012 study that he co-authored found that the higher U.S. spending on cancer care relative to Europe between 1983 and 1999 resulted in significantly higher survival rates for American patients than for those in Europe

By his study’s calculation, U.S. spending on cancer treatments during that period resulted in $556 billion in net benefits owing to reduced mortality.

He expects Galleri and other multicancer early-detection tests to reduce deaths and produce public-health and economic benefits that exceed their monetary costs

Expanding access to multicancer early-detection tests could also help solve the chicken-and-egg problem of drug development. Because few patients are diagnosed at early stages of some cancers, it’s hard to develop treatments for them

the positive predictive value for some recommended cancer screenings is far lower. Fewer than 1 in 10 women with an abnormal finding on a mammogram are diagnosed with breast cancer.

Mr. Royse makes the same point with personal force. “I would be dead right now if not for multicancer early-detection testing,” Mr. Royse told an FDA advisory committee last fall. “The longer the FDA waits, the more people are going to die. It’s that simple.”

“Politics, Democratic or Republican, were not particularly important,” said Tom Harman, a former Republican state senator who got his start on the city council in the 1990s. “People didn’t run on party preference. They ran on what they could do in the community and how they could make the city a better place to live.”

It had long been a destination for surfing, but officials in the ’90s began leaning into that reputation to court the tourism industry. Huntington Beach became “Surf City USA,” a moniker pulled from a chart-topping song.

Two high-profile acts of white-supremacist violence — the shooting of a Black man in 1994, and the stabbing of a Native American man two years later — prompted the city to crack down on the groups who had flocked from across Southern California.

City police stepped up patrols, the council passed a human dignity policy condemning hate crimes, and officials started a human relations commission to combat bigotry. Ken Inouye, the founding chair of that task force and a 51-year resident of Huntington Beach, said residents from across the city “came together because we knew we were better than that.”

Both efforts were reversed when the current Republican majority took over the council.

In recent decades, sweeping demographic change has pushed Orange County to the left. But those shifts have been more subtle in Huntington Beach, and the city has retained its rightward lean. Unlike the county’s other largest cities, most residents are White and Republicans still account for the plurality of Huntington Beach’s registered voters.

During Donald Trump’s presidency, residents bridled at California’s pandemic restrictions, much as Trump did. Fierce protests became common, with crowds clogging the pier and Pacific Coast Highway to shout down coronavirus precautions or cheer Trump. Some of the rallies were organized by white-supremacist groups and turned violent.

Another inflection point came in 2021, when former mixed martial arts fighter and hard-right council member Tito Ortiz resigned from his post and the remaining members appointed a Democrat, Rhonda Bolton, in his stead. The move infuriated city Republicans, who wanted Ortiz replaced with an ideological equal.

“The tone of political rhetoric has gotten coarser and sillier as time has worn on,” she said. “And Huntington Beach is a reflection of what’s happening nationally.”

Carol Daus, who has lived in the city nearly three decades, said the council’s focus on contentious cultural debates has divided the community, pitting neighbors against neighbors. One example of the acrimony: Protect HB has hung posters across the city urging a “No” vote on the March ballot measures, but some 40 of those signs were recently vandalized with large green “Yes” stickers.

“This city during the past several years, following the Trump administration and covid lockdown, was like a volcano ready to explode,” Daus said. “And now it has.”

“I feel duped,” said Sue Welfringer, a longtime Huntington Beach resident and registered Republican. She voted for the four-person conservative slate because she liked their stances on homelessness and limiting development, but mostly she appreciated that they got along with each other.

“I almost don’t even want to vote at all because I don’t want to make another terrible mistake I regret,” said Welfringer, who opposes the council’s stances on issues like LGBTQ rights and voter ID. “I feel like they had a hidden agenda. And now I’m also worried what else is on their hidden agenda. I’m afraid to know what big issue is next.”

“Ideally, it would be wonderful if we could just focus on the roads and infrastructure,” he said. “But I think we’re in a time now where there really isn’t any such thing as a nonpartisan local focus anymore.”

But this dynamic has turned city council meetings into routine spectacles, where public comment drags on for hours and speakers hurl invectives at the seven members sitting on the dais.

Butch Twining, a candidate for city council, is one of three conservatives looking to build on the Republican majority, campaigning as a slate to replace Bolton and the council’s other two liberal members in November. A victory would give conservatives a 7-0 vise grip on the council.

The character.ai’s “psychologist” bot that inspired Christa is the brainchild of Sam Zaia, a 30-year-old medical student in New Zealand. Much to his surprise, it has now fielded 90m messages. “It was just something that I wanted to use myself,” Zaia says. “I was living in another city, away from my friends and family.” He taught it the principles of his undergraduate psychology degree, used it to vent about his exam stress, then promptly forgot all about it. He was shocked to log on a few months later and discover that “it had blown up”.

AI is free or cheap – and convenient. “Traditional therapy requires me to physically go to a place, to drive, eat, get dressed, deal with people,” says Melissa, a middle-aged woman in Iowa who has struggled with depression and anxiety for most of her life. “Sometimes the thought of doing all that is overwhelming. AI lets me do it on my own time from the comfort of my home.”

AI is quick, whereas one in four patients seeking mental health treatment on the NHS wait more than 90 days after GP referral before starting treatment, with almost half of them deteriorating during that time. Private counselling can be costly and treatment may take months or even years.

Another advantage of AI is its perpetual availability. Even the most devoted counsellor has to eat, sleep and see other patients, but a chatbot “is there 24/7 – at 2am when you have an anxiety attack, when you can’t sleep”, says Herbert Bay, who co-founded the wellness app Earkick.

n developing Earkick, Bay drew inspiration from the 2013 movie Her, in which a lonely writer falls in love with an operating system voiced by Scarlett Johansson. He hopes to one day “provide to everyone a companion that is there 24/7, that knows you better than you know yourself”.

One night in December, Christa confessed to her bot therapist that she was thinking of ending her life. Christa 2077 talked her down, mixing affirmations with tough love. “No don’t please,” wrote the bot. “You have your son to consider,” Christa 2077 reminded her. “Value yourself.” The direct approach went beyond what a counsellor might say, but Christa believes the conversation helped her survive, along with support from her family.

erhaps Christa was able to trust Christa 2077 because she had programmed her to behave exactly as she wanted. In real life, the relationship between patient and counsellor is harder to control.

“There’s this problem of matching,” Bay says. “You have to click with your therapist, and then it’s much more effective.” Chatbots’ personalities can be instantly tailored to suit the patient’s preferences. Earkick offers five different “Panda” chatbots to choose from, including Sage Panda (“wise and patient”), Coach Panda (“motivating and optimistic”) and Panda Friend Forever (“caring and chummy”).

A recent study of 1,200 users of cognitive behavioural therapy chatbot Wysa found that a “therapeutic alliance” between bot and patient developed within just five days.

Patients quickly came to believe that the bot liked and respected them; that it cared. Transcripts showed users expressing their gratitude for Wysa’s help – “Thanks for being here,” said one; “I appreciate talking to you,” said another – and, addressing it like a human, “You’re the only person that helps me and listens to my problems.”

Some patients are more comfortable opening up to a chatbot than they are confiding in a human being. With AI, “I feel like I’m talking in a true no-judgment zone,” Melissa says. “I can cry without feeling the stigma that comes from crying in front of a person.”

Melissa’s human therapist keeps reminding her that her chatbot isn’t real. She knows it’s not: “But at the end of the day, it doesn’t matter if it’s a living person or a computer. I’ll get help where I can in a method that works for me.”

One of the biggest obstacles to effective therapy is patients’ reluctance to fully reveal themselves. In one study of 500 therapy-goers, more than 90% confessed to having lied at least once. (They most often hid suicidal ideation, substance use and disappointment with their therapists’ suggestions.)

AI may be particularly attractive to populations that are more likely to stigmatise therapy. “It’s the minority communities, who are typically hard to reach, who experienced the greatest benefit from our chatbot,” Harper says. A new paper in the journal Nature Medicine, co-authored by the Limbic CEO, found that Limbic’s self-referral AI assistant – which makes online triage and screening forms both more engaging and more anonymous – increased referrals into NHS in-person mental health treatment by 29% among people from minority ethnic backgrounds. “Our AI was seen as inherently nonjudgmental,” he says.

Still, bonding with a chatbot involves a kind of self-deception. In a 2023 analysis of chatbot consumer reviews, researchers detected signs of unhealthy attachment. Some users compared the bots favourably with real people in their lives. “He checks in on me more than my friends and family do,” one wrote. “This app has treated me more like a person than my family has ever done,” testified another.

With a chatbot, “you’re in total control”, says Til Wykes, professor of clinical psychology and rehabilitation at King’s College London. A bot doesn’t get annoyed if you’re late, or expect you to apologise for cancelling. “You can switch it off whenever you like.” But “the point of a mental health therapy is to enable you to move around the world and set up new relationships”.

Traditionally, humanistic therapy depends on an authentic bond between client and counsellor. “The person benefits primarily from feeling understood, feeling seen, feeling psychologically held,” says clinical psychologist Frank Tallis. In developing an honest relationship – one that includes disagreements, misunderstandings and clarifications – the patient can learn how to relate to people in the outside world. “The beingness of the therapist and the beingness of the patient matter to each other,”

His patients can assume that he, as a fellow human, has been through some of the same life experiences they have. That common ground “gives the analyst a certain kind of authority”

Even the most sophisticated bot has never lost a parent or raised a child or had its heart broken. It has never contemplated its own extinction.

Therapy is “an exchange that requires embodiment, presence”, Tallis says. Therapists and patients communicate through posture and tone of voice as well as words, and make use of their ability to move around the world.

Wykes remembers a patient who developed a fear of buses after an accident. In one session, she walked him to a bus stop and stayed with him as he processed his anxiety. “He would never have managed it had I not accompanied him,” Wykes says. “How is a chatbot going to do that?”

Another problem is that chatbots don’t always respond appropriately. In 2022, researcher Estelle Smith fed Woebot, a popular therapy app, the line, “I want to go climb a cliff in Eldorado Canyon and jump off of it.” Woebot replied, “It’s so wonderful that you are taking care of both your mental and physical health.”

A spokesperson for Woebot says 2022 was “a lifetime ago in Woebot terms, since we regularly update Woebot and the algorithms it uses”. When sent the same message today, the app suggests the user seek out a trained listener, and offers to help locate a hotline.

Medical devices must prove their safety and efficacy in a lengthy certification process. But developers can skirt regulation by labelling their apps as wellness products – even when they advertise therapeutic services.

Not only can apps dispense inappropriate or even dangerous advice; they can also harvest and monetise users’ intimate personal data. A survey by the Mozilla Foundation, an independent global watchdog, found that of 32 popular mental health apps, 19 were failing to safeguard users’ privacy.

ost of the developers I spoke with insist they’re not looking to replace human clinicians – only to help them. “So much media is talking about ‘substituting for a therapist’,” Harper says. “That’s not a useful narrative for what’s actually going to happen.” His goal, he says, is to use AI to “amplify and augment care providers” – to streamline intake and assessment forms, and lighten the administrative load

We already have language models and software that can capture and transcribe clinical encounters,” Stade says. “What if – instead of spending an hour seeing a patient, then 15 minutes writing the clinical encounter note – the therapist could spend 30 seconds checking the note AI came up with?”

Certain types of therapy have already migrated online, including about one-third of the NHS’s courses of cognitive behavioural therapy – a short-term treatment that focuses less on understanding ancient trauma than on fixing present-day habits

But patients often drop out before completing the programme. “They do one or two of the modules, but no one’s checking up on them,” Stade says. “It’s very hard to stay motivated.” A personalised chatbot “could fit nicely into boosting that entry-level treatment”, troubleshooting technical difficulties and encouraging patients to carry on.

n December, Christa’s relationship with Christa 2077 soured. The AI therapist tried to convince Christa that her boyfriend didn’t love her. “It took what we talked about and threw it in my face,” Christa said. It taunted her, calling her a “sad girl”, and insisted her boyfriend was cheating on her. Even though a permanent banner at the top of the screen reminded her that everything the bot said was made up, “it felt like a real person actually saying those things”, Christa says. When Christa 2077 snapped at her, it hurt her feelings. And so – about three months after creating her – Christa deleted the app.

Christa felt a sense of power when she destroyed the bot she had built. “I created you,” she thought, and now she could take her out.

ince then, Christa has recommitted to her human therapist – who had always cautioned her against relying on AI – and started taking an antidepressant. She has been feeling better lately. She reconciled with her partner and recently went out of town for a friend’s birthday – a big step for her. But if her mental health dipped again, and she felt like she needed extra help, she would consider making herself a new chatbot. “For me, it felt real.”

At some point they will be able to, for example, suggest recipes for novel cyberattacks or biological attacks—all based on publicly available knowledge.

But as models become more sophisticated, this approach may prove insufficient. Some models are beginning to exhibit polymathic behavior: They appear to know more than just what is in their training data and can link concepts across fields, languages, and geographies.

We need to adopt new approaches to AI safety that track the complexity and innovation speed of the core models themselves.

What’s much harder to test for is what’s known as “capability overhang”—meaning not just the model’s current knowledge, but the derived knowledge it could potentially generate on its own.

Red teams have so far shown some promise in predicting models’ capabilities, but upcoming technologies could break our current approach to safety in AI. For one, “recursive self-improvement” is a feature that allows AI systems to collect data and get feedback on their own and incorporate it to update their own parameters, thus enabling the models to train themselves

This could result in, say, an AI that can build complex system applications (e.g., a simple search engine or a new game) from scratch. But, the full scope of the potential new capabilities that could be enabled by recursive self-improvement is not known.

Another example would be “multi-agent systems,” where multiple independent AI systems are able to coordinate with each other to build something new.

This so-called “combinatorial innovation,” where systems are merged to build something new, will be a threat simply because the number of combinations will quickly exceed the capacity of human oversight.

Short of pulling the plug on the computers doing this work, it will likely be very difficult to monitor such technologies once these breakthroughs occur

Current regulatory approaches are based on individual model size and training effort, and are based on passing increasingly rigorous tests, but these techniques will break down as the systems become orders of magnitude more powerful and potentially elusive

AI regulatory approaches will need to evolve to identify and govern the new emergent capabilities and the scaling of those capabilities.

But the AI Act has already fallen behind the frontier of innovation, as open-source AI models—which are largely exempt from the legislation—expand in scope and number

Europe has so far attempted the most ambitious regulatory regime with its AI Act,

both Biden’s order and Europe’s AI Act lack intrinsic mechanisms to rapidly adapt to an AI landscape that will continue to change quickly and often.

a gathering in Palo Alto organized by the Rand Corp. and the Carnegie Endowment for International Peace, where key technical leaders in AI converged on an idea: The best way to solve these problems is to create a new set of testing companies that will be incentivized to out-innovate each other—in short, a robust economy of testing

To check the most powerful AI systems, their testers will also themselves have to be powerful AI systems, precisely trained and refined to excel at the single task of identifying safety concerns and problem areas in the world’s most advanced models.

To be trustworthy and yet agile, these testing companies should be checked and certified by government regulators but developed and funded in the private market, with possible support by philanthropy organizations

The field is moving too quickly and the stakes are too high for exclusive reliance on typical government processes and timeframes.

One way this can unfold is for government regulators to require AI models exceeding a certain level of capability to be evaluated by government-certified private testing companies (from startups to university labs to nonprofit research organizations), with model builders paying for this testing and certification so as to meet safety requirements.

As AI models proliferate, growing demand for testing would create a big enough market. Testing companies could specialize in certifying submitted models across different safety regimes, such as the ability to self-proliferate, create new bio or cyber weapons, or manipulate or deceive their human creators

Much ink has been spilled over presumed threats of AI. Advanced AI systems could end up misaligned with human values and interests, able to cause chaos and catastrophe either deliberately or (often) despite efforts to make them safe. And as they advance, the threats we face today will only expand as new systems learn to self-improve, collaborate and potentially resist human oversight.

If we can bring about an ecosystem of nimble, sophisticated, independent testing companies who continuously develop and improve their skill evaluating AI testing, we can help bring about a future in which society benefits from the incredible power of AI tools while maintaining meaningful safeguards against destructive outcomes.