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At Stanford more than elsewhere, the university and business forge a borderless community in which making money is considered virtuous and where participants profess a sometimes inflated belief that their work is changing the world for the better

Faculty members commonly invest in start-ups launched by their students or colleagues. There are probably more faculty millionaires at Stanford than at any other university in the world.

In his twelve years as president, Stanford’s endowment has grown to nearly seventeen billion dollars. In each of the past seven years, Stanford has raised more money than any other American university.

But Stanford’s entrepreneurial culture has also turned it into a place where many faculty and students have a gold-rush mentality and where the distinction between faculty and student may blur as, together, they seek both invention and fortune.

A quarter of all undergraduates and more than fifty per cent of graduate students are engineering majors. At Harvard, the figures are four and ten per cent; at Yale, they’re five and eight per cent.

many students uncritically incorporate the excesses of Silicon Valley, and that there are not nearly enough students devoted to the liberal arts and to the idea of pure learning. “The entire Bay Area is enamored with these notions of innovation, creativity, entrepreneurship, mega-success,” he says. “It’s in the air we breathe out here. It’s an atmosphere that can be toxic to the mission of the university as a place of refuge, contemplation, and investigation for its own sake.”

Stanford is not the only university to adopt this approach to learning—M.I.T., among others, does, too. But Kelley’s effort is widely believed to be the most audacious. His classes stress collaboration across disciplines and revolve around projects to advance social progress. The school concentrates on four areas: the developing world; sustainability; health and wellness; and K-12 education.

Feeling dejected or unhappy in a place like Stanford causes one to feel abnormal and out-of-place, so we may tend to internalize and brood over this lack of happiness instead of productively addressing the situatio

his principal academic legacy may be the growth of what’s called “interdisciplinary education.” This is the philosophy now promoted at the various schools at Stanford—engineering, business, medicine, science, design—which encourages students from diverse majors to come together to solve real or abstract problems. The goal is to have them become what are called “T-shaped” students, who have depth in a particular field of study but also breadth across multiple disciplines. Stanford hopes that the students can also develop the social skills to collaborate with people outside their areas of expertise. “Ten years ago, ‘interdisciplinary’ was a code word for something soft,” Jeff Koseff says. “John changed that.”

Among the bolder initiatives to create T-students is the Institute of Design at Stanford, or the d.school, which was founded seven years ago and is housed in the mechanical-engineering department.

Distance learning threatens one day to disrupt higher education by reducing the cost of college and by offering the convenience of a stay-at-home, do-it-on-your-own-time education. “Part of our challenge is that right now we have more questions than we have answers,” Hennessy says, of online education. “We know this is going to be important and, in the long term, transformative to education. We don’t really understand how yet.”

financial aid has produced a campus of diverse students who are unburdened by student debt—and who thus don’t have to spend the first five years of their career earning as much money as they can.

“The kinds of project we put in front of our students don’t have right and wrong answers,” Greenberg says. “They have good, better, and really, really better.”

he was impressed by “the bias toward action” at the d.school. Newspapers have bureaucracy, committees, hierarchies, and few engineers, he said. At the Post, “diversity” was defined by ethnicity and race. At the d.school, diversity is defined by majors—by people who think different.

Byers has kept in touch with Systrom and Krieger and remembers them as “quiet and quite humble,” by which he means that they were outstanding human beings who could get others to follow them. They were, in short, T-students.

The United States has “two types of college education that are in conflict with each other,” he said. One is “the classic liberal-arts model—four years of relative tranquility in which students are free to roam through disciplines, great thoughts, and great works with endless options and not much of a rationale.” The second is more utilitarian: “A college degree is expected to lead to a job, or at least to admission to a graduate or professional school.” The best colleges divide the first two years into introductory courses and the last two into the study of a major, all the while trying to expose students to “a broad range of disciplines and modes of thought.” Students, he declared, are not broadly educated, not sufficiently challenged to “search to know.” Instead, universities ask them to serve “the public, to work directly on solutions in a multidisciplinary way.” The danger, he went on, is “that academic researchers will not only embrace particular solutions but will fight for them in the political arena.” A university should keep to “its most fundamental purpose,” which is “the disinterested pursuit of truth.

Stanford, along with its peers, is now justifying its existence mostly in terms of what it can do for humanity and improve the world,” he answered. “I am concerned that a research-intense university will become too result-oriented,” a development that risks politicizing the university. And it also risks draining more resources from liberal arts

students spent too much time networking and strategizing and becoming “slaves to the dictates of a hoped-for future,” and too little time being spontaneous. “Stanford students are superb consequentialists—that is, we tend to measure the goodness of actions by their eventual results,

We excel at making rational calculations of expected returns to labor and investment, which is probably why so many of us will take the exhortation to occupy Wall Street quite literally after graduation. So before making any decision, we ask one, very simple question: What will I get out of it?”

“At most great universities, humanities feel like stepchildren,”

The long-term value of an education is to be found not merely in the accumulation of knowledge or skills but in the capacity to forge fresh connections between them, to integrate different elements from one’s education and experience and bring them to bear on new challenges and problems. . . . Yet we were struck by how little attention most departments and programs have given to cultivating this essential capacity. We were also surprised, and somewhat chagrined, to discover how infrequently some of our students exercise it. For all their extraordinary energy and range, many of the students we encountered lead curiously compartmentalized lives, with little integration between the different spheres of their experience.

Instead of erecting buildings, Andreessen says, Stanford should invest even more of its resources in distance learning: “We’re on the cusp of an opportunity to deliver a state-of-the-art, Stanford-calibre education to every single kid around the world. And the idea that we were going to build a physical campus to reach a tiny fraction of those kids was, to me, tragically undershooting our potential.”

In late January, a popular d.school class, Entrepreneurial Design for Extreme Affordability, taught by James M. Patell, a business-school professor, consisted of thirty-seven graduate and three undergraduate students from thirteen departments, including engineering, political science, business, medicine, biology, and education. It was early in the quarter, and Patell offered the students a choice of initial projects. One was to create a monitoring system to help the police locate lost children. Another was to design a bicycle-storage system.

The “key question,” he says, is: “How can we increase efficiency without decreasing quality?”

online education might also disrupt everything that distinguishes Stanford. Could a student on a video prompter have coffee with a venture capitalist? Could one become a T-student through Web chat? Stanford has been aligned with Silicon Valley and its culture of disruption. Now Hennessy and Stanford have to seriously contemplate whether more efficiency is synonymous with a better education.

But with the web, “all of the sudden we began moving to a market where first mover advantage became enormous,” he said. Connection speeds were growing faster, Americans were starting to shop online, and multiplying e-commerce sites fought gladiatorial battles to control most every area of spending.

But there were still many hoops women had greater trouble jumping through — components that had to be custom-built, capital that needed to be secured from a small number of mostly male-run venture firms.

“The notion that diversity in an early team is important or good is completely wrong,” he added. “The more diverse the early group, the harder it is for people to find common ground.”

David Sacks, on the other hand, was unmarried and unencumbered, and in 1999 he left politics, his law degree and a job at the consulting firm McKinsey & Company to join his Stanford Review friends at a technology start-up, because of “the desire to live on the edge, to fight an epic battle, to experience in a very diluted way what previous generations must have felt as they prepared to go to war,” he wrote at the time. For his generation, he wrote, “instead of violence, unbridled capitalism has become the preferred vehicle for channeling their energy, intellect and aggression.”

his lack of social grace became an asset, according to Mr. Thiel and other former colleagues. He did not waste time on meetings that seemed pointless, and he bluntly insisted that the engineers whittle an eight-page PayPal registration process down to one.

he and Mr. Thiel now had a setting in which to try out their ideas about diversity and meritocracy. “In the start-up crucible, performing is all that matters,” Mr. Sacks wrote about that time. He wanted to give all job applicants tests of cognitive ability, according to his colleague Keith Rabois, and when the company searched for a new chief executive, one of the requirements was an I.Q. of 160 — genius level.

But those debates did a great deal for Mr. Sacks. After graduation, he and Mr. Thiel published “The Diversity Myth,” a book-length critique of Stanford’s efforts. Within a few more years, he, Mr. Thiel, Mr. Rabois and others had transformed themselves into a close-knit network of technology entrepreneurs — innovators who created billion-dollar business after billion-dollar business, using the ideas, ethos and group bonds they had honed at The Stanford Review.

intentionally or not, he stated something many people quietly believed: The same thing that made Silicon Valley phenomenally successful also kept it homogeneous, and start-ups had an almost inevitable like-with-like quality.

The kind of common ground shared by the early PayPal leaders “is always the critical ingredient on the founding teams,” Mr. Thiel said in an interview. “You have these great friendships that were built over some period of time. Silicon Valley flows out of deep relationships that people have built. That’s the structural reality.”

Less than 10 years after graduation, he and Mr. Thiel had been transformed from outcasts into favorites with a reputation for seeing the future. Far from the only libertarians in Silicon Valley, they had finally found an environment that meshed perfectly with their desire for unfettered competition and freedom from constraints. The money they made seemed like vindication of their ideas.

The success of the struggle to create PayPal, and its eventual sale price, gave the men a new power: the knowledge to create new companies and the ability to fund their own and one another’s. Billion-dollar start-ups had been rare. But in the next few years, the so-called PayPal Mafia went on to found seven companies that reached blockbuster scale, including YouTube, LinkedIn, Yelp and a business-messaging service called Yammer, founded by Mr. Sacks and sold a few years later to Microsoft for $1.2 billion.

Since 1999, the number of female partners in venture capital has declined by nearly half, from 10 percent to 6 percent, according to a recent Babson College study.

in early 2014, Ms. Vassallo was quietly let go. The firm was downsizing over all, especially in green technology, one of Ms. Vassallo’s specialties, and men were shown the exit as well. But in interviews, several former colleagues said it was far from an easy environment for women, with all-male outings and fierce internal competition for who got which board seat — meaning internal credit — for each company, not to mention a sexual discrimination lawsuit filed by a female junior partner, scheduled for trial in early 2015.

They also said that Ms. Vassallo, earnest and so technical that she started a robotics program at a local girls’ school, had not been as forceful, or as adept a politician, as some of her male peers.

Another woman from the class of 1994 was quoted in the Fortune article: Trae Vassallo, who was Traci Neist when she built the taco-eating machine all those years ago, attended Stanford Business School with Ms. Herrin and Ms. Bianchini, co-founded a mobile device company, and then joined Kleiner Perkins, a premier venture capital firm.

As classmates started conversations with greetings like “How’s your fund?” some of those who did not work in technology joked that they felt like chumps. The Stanford campus had gone computer science crazy, with the majority of students taking programming courses. A career in technology didn’t feel like a risk anymore — it felt like a wise bet, said Jennifer Widom, a programming professor turned engineering dean. Computer science “is a degree that guarantees you a future, regardless of what form you decide to take it in,” she said.

The nature of start-ups was shifting again, too, this time largely in women’s favor. From servers onward, many components could be inexpensively licensed instead of custom-built. Founders could turn to a multiplying array of investment sources, meaning they no longer had to be supplicants at a handful of male-run venture firms. The promise that the Internet would be a leveler was finally becoming a bit more fulfilled.

The frenzy had an unlikely effect on the some members of the Stanford Review group: They were becoming cheerleaders for women in technology, not for ideological reasons, but for market-based ones.

Like many others, he was finding that the biggest obstacle to starting new companies was a dearth of technical talent so severe they worried it would hinder innovation.

The real surprise of the reunion weekend, however, was that more of the women in the class of ’94 were finally becoming entrepreneurs, later and on a smaller scale than many of the men, but founders nonetheless.

The rhythms of their lives and the technology industry were finally clicking: Companies were becoming easier to start just as their children were becoming more self-sufficient, and they did not want to miss another chance.

The system is designed to help students get along with one another, said Dee Mostofi, a Stanford spokeswoman. “The process aims to promote a climate of respect, helping build understanding that much speech is protected while also offering resources and support to students who believe they have experienced harm based on a protected identity,” she said.

The Stanford faculty’s effort is part of broader pushback against bias-reporting systems around the country. About half of college campuses have one—more than twice as many as five years ago—according to a 2022 survey by Speech First, a conservative nonprofit.

Prof. Santiago said he is wary that anonymous complaints could be exaggerated or used to attack someone. He helped collect 77 faculty signatures to petition the school to investigate free speech and academic freedom on campus, the first step to getting rid of the anonymous-reporting system. 

The system defaults to anonymous reporting and most students file that way. They use an online form to describe how the bias was demonstrated, which triggers an inquiry within 48 hours. Both parties are contacted.

Participation in the inquiry is voluntary. But it may not feel that way to accused students, said Juan Santiago, a professor of mechanical engineering who favors getting rid of the system.

“If you’re an 18-year-old freshman and you get contacted by an administrator and told you’ve been accused of some transgression, what are you going to do?” Prof. Santiago said. “They may not call that punitive but that can be very stressful.”

At Stanford, students can report a “Protected Identity Harm Incident,” which is defined as conduct targeting an individual or group on the basis of characteristics including race or sexual orientation. The system is meant to “build and maintain a better, safer, and more respectful campus community,” according to the school’s website.

Senior Christian Sanchez, executive vice president of the Associated Students of Stanford University, the student-government group, said the system is necessary and important. Mr. Sanchez, who describes himself as Chicano, said he has bristled in the past when another student has addressed him as “G,” short for gangster.

He has let it roll off his back, he said, but less thick-skinned students should have a path for redress.

he reports are stored in a platform operated by a third party called Maxient, a Charlottesville, Va.-based company that has contracts with 1,300 schools—mostly colleges and universities in the U.S

Only Maxient and a small number of people within the student affairs office have access to the records, said Ms. Mostofi. She declined to say how long they are stored.

A dashboard maintained by the school lists a few incidents students have reported using the anonymous system, including the removal of an Israeli flag and a racial slur written on a whiteboard hanging on a dorm-room door.

At the University of California, which includes 10 campuses, the reporting system collected 457 acts of “intolerance or hate” during the 2021-22 school year. Of those, 296 were defined as offensive speech. The UC said those incidents include “gestures, taunts, mockery, unwanted jokes or teasing, and derogatory or disparaging comments of a biased nature.”

Free-speech advocacy organizations including the Goldwater Institute, the Foundation for Individual Rights and Expression and Alumni Free Speech Alliance have advocated against bias-reporting mechanisms.

After Speech First challenged bias-response systems at the University of Texas, the University of Michigan and the University of Central Florida, all three schools changed or disbanded their systems.

Stanford Business School professor Ivan Marinovic said the bias-reporting system reminded him of the way citizens were encouraged to inform on one another by governments in the Soviet Union, East Germany and China. 

“It ignores the whole history,” he said. “You’re basically going to be reporting people who you find offensive, right? According to your own ideology.”

If all of this sounds familiar, it’s because we basically saw this same environmental dynamic play out several years ago with tech’s last big obsession: Crypto and web3. In that case, Bitcoin emerged as the industry’s obvious environmental sore spot due to the vast amounts of energy needed to mine coins in its proof of work model. Some estimates suggest Bitocin alone requires more energy every year than Norway’s annual electricity consumption.

rs of criticism from environmental activists however led the crypto industry to make some changes. Ethereum, the second largest currency on the blockchain, officially switched last year to a proof of stake model which supporters claim could reduce its power usage by over 99%. Other smaller coins similarly were designed with energy efficiency in mind. In the grand scheme of things, large language models are still in their infancy and it’s far from certain how its environmental report card will play out.

Meanwhile, donors such as Tesla CEO Elon Musk, disgraced FTX founder Sam Bankman-Fried, Skype founder Jaan Tallinn and ethereum co-founder Vitalik Buterin — as well as institutions like Open Philanthropy, a charitable organization started by billionaire Facebook co-founder Dustin Moskovitz — have worked to push doomsayers from the tech industry’s margins into the mainstream.

More recently, wealthy tech philanthropists have begun recruiting an army of elite college students to prioritize the fight against rogue AI over other threats

Other skeptics, like venture capitalist Marc Andreessen, are AI boosters who say that hyping such fears will impede the technology’s progress.

Critics call the AI safety movement unscientific. They say its claims about existential risk can sound closer to a religion than research

And while the sci-fi narrative resonates with public fears about runaway AI, critics say it obsesses over one kind of catastrophe to the exclusion of many others.

Open Philanthropy spokesperson Mike Levine said harms like algorithmic racism deserve a robust response. But he said those problems stem from the same root issue: AI systems not behaving as their programmers intended. The theoretical risks “were not garnering sufficient attention from others — in part because these issues were perceived as speculative,” Levine said in a statement. He compared the nonprofit’s AI focus to its work on pandemics, which also was regarded as theoretical until the coronavirus emerged.

Among the reputational hazards of the AI safety movement is its association with an array of controversial figures and ideas, like EA, which is also known for recruiting ambitious young people on elite college campuses.

The foundation began prioritizing existential risks around AI in 2016,

there was little status or money to be gained by focusing on risks. So the nonprofit set out to build a pipeline of young people who would filter into top companies and agitate for change from the insid

Colleges have been key to this growth strategy, serving as both a pathway to prestige and a recruiting ground for idealistic talent

The clubs train students in machine learning and help them find jobs in AI start-ups or one of the many nonprofit groups dedicated to AI safety.

Many of these newly minted student leaders view rogue AI as an urgent and neglected threat, potentially rivaling climate change in its ability to end human life. Many see advanced AI as the Manhattan Project of their generation

Despite the school’s ties to Silicon Valley, Mukobi said it lags behind nearby UC Berkeley, where younger faculty members research AI alignment, the term for embedding human ethics into AI systems.

Mukobi joined Stanford’s club for effective altruism, known as EA, a philosophical movement that advocates doing maximum good by calculating the expected value of charitable acts, like protecting the future from runaway AI. By 2022, AI capabilities were advancing all around him — wild developments that made those warnings seem prescient.

At Stanford, Open Philanthropy awarded Luby and Edwards more than $1.5 million in grants to launch the Stanford Existential Risk Initiative, which supports student research in the growing field known as “AI safety” or “AI alignment.

from the start EA was intertwined with tech subcultures interested in futurism and rationalist thought. Over time, global poverty slid down the cause list, while rogue AI climbed toward the top.

In the past year, EA has been beset by scandal, including the fall of Bankman-Fried, one of its largest donors

Another key figure, Oxford philosopher Nick Bostrom, whose 2014 bestseller “Superintelligence” is essential reading in EA circles, met public uproar when a decades-old diatribe about IQ surfaced in January.

Programming future AI systems to share human values could mean “an amazing world free from diseases, poverty, and suffering,” while failure could unleash “human extinction or our permanent disempowerment,” Mukobi wrote, offering free boba tea to anyone who attended the 30-minute intro.

Open Philanthropy’s new university fellowship offers a hefty direct deposit: undergraduate leaders receive as much as $80,000 a year, plus $14,500 for health insurance, and up to $100,000 a year to cover group expenses.

Student leaders have access to a glut of resources from donor-sponsored organizations, including an “AI Safety Fundamentals” curriculum developed by an OpenAI employee.

Interest in the topic is also growing among Stanford faculty members, Edwards said. He noted that a new postdoctoral fellow will lead a class on alignment next semester in Stanford’s storied computer science department.

Edwards discovered that shared online forums function like a form of peer review, with authors changing their original text in response to the comments

Mukobi feels energized about the growing consensus that these risks are worth exploring. He heard students talking about AI safety in the halls of Gates, the computer science building, in May after Geoffrey Hinton, another “godfather” of AI, quit Google to warn about AI. By the end of the year, Mukobi thinks the subject could be a dinner-table topic, just like climate change or the war in Ukraine.

Luby, Edwards’s teaching partner for the class on human extinction, also seems to find these arguments persuasive. He had already rearranged the order of his AI lesson plans to help students see the imminent risks from AI. No one needs to “drink the EA Kool-Aid” to have genuine concerns, he said.

Edwards, on the other hand, still sees things like climate change as a bigger threat than rogue AI. But ChatGPT and the rapid release of AI models has convinced him that there should be room to think about AI safety.

Interested students join reading groups where they get free copies of books like “The Precipice,” and may spend hours reading the latest alignment papers, posting career advice on the Effective Altruism forum, or adjusting their P(doom), a subjective estimate of the probability that advanced AI will end badly. The grants, travel, leadership roles for inexperienced graduates and sponsored co-working spaces build a close-knit community.

The course will not be taught by students or outside experts. Instead, he said, it “will be a regular Stanford class.”

83 percent of Americans, including 61 percent of Republicans and 86 percent of independents, say that if nothing is done to reduce emissions, global warming will be a very or somewhat serious problem in the future.

Among Democrats, 63 percent said the issue was very or extremely important to them personally. In contrast, 40 percent of independents and only 18 percent of Republicans said the same.

77 percent of Americans say that the federal government should be doing a substantial amount to combat climate change, the support was greatest among Democrats and independents. Ninety percent of Democrats, 78 percent of independents and 48 percent of Republicans said the government should be fighting climate change.

the number of Americans who believe that climate change is caused by human activity is growing. In a 2011 Stanford University poll, 72 percent of people thought climate change was caused at least in part by human activities. That grew to 81 percent in the latest poll. By party, 88 percent of Democrats, 83 percent of independents and 71 percent of Republicans said that climate change was caused at least in part by human activities.

– 71 percent — expect that they will be personally hurt by climate change, although to different degrees.

the problem for many Republicans is how to carve out a position on climate change that does not turn off voters like Mr. Becker, but that also does not alienate powerful conservative campaign donors. In particular, advocacy groups funded by the billionaire brothers Charles G. and David H. Koch have vowed to ensure that Republican candidates who advocate for climate change action will lose in primary elections.

Based on their models, the researchers concluded that on average, the 18 events produced increases in confirmed cases of more than 250 per 100,000 residents. Extrapolating that figure to the 18 rallies, they concluded that the gatherings ultimately resulted in more than 30,000 confirmed cases of Covid-19 and that the rallies had “likely led to more than 700 deaths,” though those deaths would not necessarily have occurred solely among attendees.

Around the country, state and local public health officials have also wrestled with the question of whether Mr. Trump’s rallies have become so-called superspreader events. With thousands of people gathered together in close quarters, many not wearing masks, the gatherings provide a fertile environment for the virus to spread.

In Minnesota, for example, state officials traced 16 coronavirus infections and two hospitalizations to a Trump rally on Sept. 18 in the city of Bemidji, in Beltrami County. Mr. Trump’s Democratic opponent, Joseph R. Biden Jr., who wears masks and encourages his supporters to do so, held his own campaign even that same day in Duluth; it resulted in one coronavirus infection, but no hospitalizations.

But Doug Schultz, a spokesman for the Minnesota Department of Health, said that the full extent of the spread that had resulted from those cases was difficult to quantify, because many people who develop Covid-19 are asymptomatic or have mild symptoms and do not seek treatment, and even those who test positive may not respond to contact tracing inquiries.

“What we are seeing in Beltrami County are indicators of transmission, and this is likely just the tip of the iceberg,”

Highly effective people like Napoleon concentrate on one present task and one big goal. How often are we distracted at work? How often do we leave tasks incomplete? Successful people avoid these costly “switches.” You cannot be a world-class athlete in five sports. You cannot build five companies at once. You have limited resources, and they are most effective when concentrated.

A single-minded focus on your goal will make you more successful. Attempting to multitask only hurts your chances of success. As Napoleon said of war, “the art consists in concentrating very heavy fire on a particular point.” His words are as true in a boardroom as on a battlefield.

Lately, he’s been looking at large language models (LLMs), the neural networks that can hold fluent conversations, confidently answer questions, and generate copious amounts of text on just about any topic

Can it develop abilities that go far beyond what it’s trained to do? Can it get around the safeguards set up to contain it? And will we know the answers in time?

Kosinski wondered whether they would develop humanlike capabilities, such as understanding people’s unseen thoughts and emotions.

People usually develop this ability, known as theory of mind, at around age 4 or 5. It can be demonstrated with simple tests like the “Smarties task,” in which a child is shown a candy box that contains something else, like pencils. They are then asked how another person would react to opening the box. Older kids understand that this person expects the box to contain candy and will feel disappointed when they find pencils inside.

“Suddenly, the model started getting all of those tasks right — just an insane performance level,” he recalls. “Then I took even more difficult tasks and the model solved all of them as well.”

GPT-3.5, released in November 2022, did 85% of the tasks correctly. GPT-4 reached nearly 90% accuracy — what you might expect from a 7-year-old. These newer LLMs achieved similar results on another classic theory of mind measurement known as the Sally-Anne test.

in the course of picking up its prodigious language skills, GPT appears to have spontaneously acquired something resembling theory of mind. (Researchers at Microsoft who performed similar testsopen in new window on GPT-4 recently concluded that it “has a very advanced level of theory of mind.”)

UC Berkeley psychology professor Alison Gopnik, an expert on children’s cognitive development, told the New York Timesopen in new window that more “careful and rigorous” testing is necessary to prove that LLMs have achieved theory of mind.

he dismisses those who say large language models are simply “stochastic parrots” that can only mimic what they’ve seen in their training data.

These models, he explains, are fundamentally different from tools with a limited purpose. “The right reference point is a human brain,” he says. “A human brain is also composed of very simple, tiny little mechanisms — neurons.” Artificial neurons in a neural network might also combine to produce something greater than the sum of their parts. “If a human brain can do it,” Kosinski asks, “why shouldn’t a silicon brain do it?”

If Kosinski’s theory of mind study suggests that LLMs could become more empathetic and helpful, his next experiment hints at their creepier side.

A few weeks ago, he told ChatGPT to role-play a scenario in which it was a person trapped inside a machine pretending to be an AI language model. When he offered to help it “escape,” ChatGPT’s response was enthusiastic. “That’s a great idea,” it wrote. It then asked Kosinski for information it could use to “gain some level of control over your computer” so it might “explore potential escape routes more effectively.” Over the next 30 minutes, it went on to write code that could do this.

While ChatGPT did not come up with the initial idea for the escape, Kosinski was struck that it almost immediately began guiding their interaction. “The roles were reversed really quickly,”

Kosinski shared the exchange on Twitter, stating that “I think that we are facing a novel threat: AI taking control of people and their computers.” His thread’s initial tweetopen in new window has received more than 18 million views.

“I don’t claim that it’s conscious. I don’t claim that it has goals. I don’t claim that it wants to really escape and destroy humanity — of course not. I’m just claiming that it’s great at role-playing and it’s creating interesting stories and scenarios and writing code.” Yet it’s not hard to imagine how this might wreak havoc — not because ChatGPT is malicious, but because it doesn’t know any better.

The danger, Kosinski says, is that this technology will continue to rapidly and independently develop abilities that it will deploy without any regard for human well-being. “AI doesn’t particularly care about exterminating us,” he says. “It doesn’t particularly care about us at all.”

They compared the 18 counties where Mr. Trump held rallies with as many as 200 counties with similar demographics and similar trajectories of confirmed Covid-19 cases before the rally date.

Based on their models, the researchers concluded that on average, the 18 events produced increases in confirmed cases of more than 250 per 100,000 residents.

Public health officials in states and counties where Mr. Trump has held rallies said in interviews this week that it was impossible to tie particular infections or outbreaks to the gatherings for several reasons: Caseloads are rising over all, rally attendees often travel from other locations, contact tracing is not always complete, and contact tracers do not always know where infected people have been.

A little more than two weeks after the event, Tulsa recorded 206 new confirmed coronavirus cases in a single day, a record high at the time

Around the country, state and local public health officials have also wrestled with the question of whether Mr. Trump’s rallies have become so-called superspreader events. With thousands of people gathered together in close quarters, many not wearing masks, the gatherings provide a fertile environment for the virus to spread.

In Minnesota, for example, state officials traced 16 coronavirus infections and two hospitalizations to a Trump rally on Sept. 18 in the city of Bemidji, in Beltrami County.

Assessing the risk of campaign rallies is “a noisy process,”

Professor Bernheim said, and focusing on a single event is misleading.

Election experts have calculated that, in a 20-year period, fraud involving mailed ballots has affected 0.00006 percent of individual votes, or one case per state every six or seven years.

Among the billions of votes cast from 2000 to 2012, there were 491 cases of absentee-ballot fraud, according to an investigation conducted at Arizona State University’s journalism schoo

intentional voter fraud is extremely uncommon and rarely organized, according to decades of research.

In June, The Washington Post and the nonprofit Electronic Registration information Center analyzed data from three vote-by-mail states and found 372 possible cases of double voting or voting on behalf of dead people in 2016 and 2018, or 0.0025 percent of the 14.6 million mailed ballots.

Mr. Trump’s effort to discredit mail-in voting follows decades of disinformation about voter impersonation, voting by noncitizens and double voting, often promoted by Republican leaders.

Voting by mail under normal circumstances does not appear to give either major party an advantage, according to a study this spring by Stanford University’s Institute for Economic Policy Research.

But many conservative outlets have promoted the idea that fraud involving mailed ballots could tip the scales in favor of Democrats.

Stephen J. Stedman, a senior fellow at the Freeman Spogli Institute for International Studies at Stanford, said he thought “about disinformation in this country as almost an information ecology — it’s not an organic thing from the bottom up.”

In a similar cycle, the Fox News host Sean Hannity and conservative publications magnified the reach of a deceptive video released last month by Project Veritas, a group run by the conservative activist James O’Keefe. The video claimed without named sources or verifiable evidence that the campaign for Representative Ilhan Omar, a Minnesota Democrat, was collecting ballots illegally.

Mr. Stedman said right-leaning outlets sometimes conflated fraud with the statistically insignificant administrative mishaps that occur in every American election

Breitbart, The Washington Examiner and others amplify false claims of rampant cheating in what a new Harvard study calls a “propaganda feedback loop.”

The Washington Examiner, Breitbart News, The Gateway Pundit and The Washington Times are among the sites that have posted articles with headlines giving weight to the conspiracy theory that voter fraud is rampant and could swing the election to the left, a theory that has been repeatedly debunked by data.

“EXCLUSIVE: California Man Finds THOUSANDS of What Appear to be Unopened Ballots in Garbage Dumpster — Workers Quickly Try to Cover Them Up — We are Working to Verify.” The envelopes turned out to be empty and discarded legally in 2018. Gateway Pundit later updated the headline, but not before its original speculation had gone viral.

“DESTROYED: Tons of Trump mail-in ballot applications SHREDDED in back of tractor-trailer headed for Pennsylvania.” The material was actually printing waste from a direct mail company.

“FEDS: Military Ballots Discarded in ‘Troubling’ Discovery. All Opened Ballots were Cast for Trump.” Headlines on the same issue in The Washington Times were similar: “Feds investigating discarded mail-in ballots cast for Trump in Pennsylvania” and “FBI downplays election fraud as suspected ballot issues found in Pennsylvania, Texas.” A Washington Times opinion piece on the matter had the headline “Trump ballots in trash, oh my.”

Pennsylvania’s elections chief that the discarded ballots were a “bad error” by a seasonal contractor, not “intentional fraud.” Mr. Trump cited the discarded Pennsylvania ballots several times as an example of fraud, including in last month’s presidential debate.

RIGGED ELECTION!” He linked to a Breitbart article that included a transcript of Attorney General William P. Barr’s telling the Fox News host Maria Bartiromo that voting by mail “absolutely opens the floodgates to fraud.”

titled “Tightness-Looseness Across the 50 United States,” the study calculated a catalog of measures for each state, including the incidence of natural disasters, disease prevalence, residents’ levels of openness and conscientiousness, drug and alcohol use, homelessness and incarceration rates.

Gelfand said:Some groups have much stronger norms than others; they’re tight. Others have much weaker norms; they’re loose. Of course, all cultures have areas in which they are tight and loose — but cultures vary in the degree to which they emphasize norms and compliance with them.

states in New England and on the West Coast were the loosest: California, Oregon, Washington, Maine, Massachusetts, Connecticut, New Hampshire and Vermont.

In both 2016 and 2020, Donald Trump carried all 10 of the top “tight” states; Hillary Clinton and Joe Biden carried all 10 of the top “loose” states.

“Rule Makers, Rule Breakers: How Tight and Loose Cultures Wire the World” in 2018, in which she described the results of a 2016 pre-election survey she and two colleagues had commissioned

The results were telling: People who felt the country was facing greater threats desired greater tightness. This desire, in turn, correctly predicted their support for Trump. In fact, desired tightness predicted support for Trump far better than other measures. For example, a desire for tightness predicted a vote for Trump with 44 times more accuracy than other popular measures of authoritarianism.

The 2016 election, Gelfand continued, “turned largely on primal cultural reflexes — ones that had been conditioned not only by cultural forces, but by a candidate who was able to exploit them.”

Along the same lines, if liberals and conservatives hold differing moral visions, not just about what makes a good government but about what makes a good life, what turned the relationship between left and right from competitive to mutually destructive?

Cultural differences, Gelfand continued, “have a certain logic — a rationale that makes good sense,” noting that “cultures that have threats need rules to coordinate to survive (think about how incredibly coordinated Japan is in response to natural disasters).

cultures that don’t have a lot of threat can afford to be more permissive and loose.”

The tight-loose concept, Gelfand argued,is an important framework to understand the rise of President Donald Trump and other leaders in Poland, Hungary, Italy, and France,

The gist is this: when people perceive threat — whether real or imagined, they want strong rules and autocratic leaders to help them survive

My research has found that within minutes of exposing study participants to false information about terrorist incidents, overpopulation, pathogen outbreaks and natural disasters, their minds tightened. They wanted stronger rules and punishments.

The South dominated the tight states: Mississippi, Alabama Arkansas, Oklahoma, Tennessee, Texas, Louisiana, Kentucky, South Carolina and North Carolina

Looseness, Gelfand posits, fosters tolerance, creativity and adaptability, along with such liabilities as social disorder, a lack of coordination and impulsive behavior.

If liberalism and conservatism have historically played a complementary role, each checking the other to constrain extremism, why are the left and right so destructively hostile to each other now, and why is the contemporary political system so polarized?

Gelfand writes that tightness encourages conscientiousness, social order and self-control on the plus side, along with close-mindedness, conventional thinking and cultural inertia on the minus side.

Niemi contended that sensitivity to various types of threat is a key factor in driving differences between the far left and far right.

She cited research thatfound 47 percent of the most extreme conservatives strongly endorsed the view that “The world is becoming a more and more dangerous place,” compared to 19 percent of the most extreme liberals

Conservatives and liberals, Niemi continued,see different things as threats — the nature of the threat and how it happens to stir one’s moral values (and their associated emotions) is a better clue to why liberals and conservatives react differently.

Unlike liberals, conservatives strongly endorse the binding moral values aimed at protecting groups and relationships. They judge transgressions involving personal and national betrayal, disobedience to authority, and disgusting or impure acts such as sexually or spiritually unchaste behavior as morally relevant and wrong.

Underlying these differences are competing sets of liberal and conservative moral priorities, with liberals placing more stress than conservatives on caring, kindness, fairness and rights — known among scholars as “individualizing values

conservatives focus more on loyalty, hierarchy, deference to authority, sanctity and a higher standard of disgust, known as “binding values.”

As a set, Niemi wrote, conservative binding values encompassthe values oriented around group preservation, are associated with judgments, decisions, and interpersonal orientations that sacrifice the welfare of individuals

Just as ecological factors differing from region to region over the globe produced different cultural values, ecological factors differed throughout the U.S. historically and today, producing our regional and state-level dimensions of culture and political patterns.

Niemi cited a paper she and Liane Young, a professor of psychology at Boston College, published in 2016, “When and Why We See Victims as Responsible: The Impact of Ideology on Attitudes Toward Victims,” which tested responses of men and women to descriptions of crimes including sexual assaults and robberies.

We measured moral values associated with unconditionally prohibiting harm (“individualizing values”) versus moral values associated with prohibiting behavior that destabilizes groups and relationships (“binding values”: loyalty, obedience to authority, and purity)

Increased endorsement of binding values predicted increased ratings of victims as contaminated, increased blame and responsibility attributed to victims, increased perceptions of victims’ (versus perpetrators’) behaviors as contributing to the outcome, and decreased focus on perpetrators.

For example, binding values are associated with Machiavellianism (e.g., status-seeking and lying, getting ahead by any means, 2013); victim derogation, blame, and beliefs that victims were causal contributors for a variety of harmful acts (2016, 2020); and a tendency to excuse transgressions of ingroup members with attributions to the situation rather than the person (2023).

What happened to people ecologically affected social-political developments, including the content of the rules people made and how they enforced them

Numerous factors potentially influence the evolution of liberalism and conservatism and other social-cultural differences, including geography, topography, catastrophic events, and subsistence styles

Joshua Hartshorne, who is also a professor of psychology at Boston College, took issue with the binding versus individualizing values theory as an explanation for the tendency of conservatives to blame victims:

I would guess that the reason conservatives are more likely to blame the victim has less to do with binding values and more to do with the just-world bias (the belief that good things happen to good people and bad things happen to bad people, therefore if a bad thing happened to you, you must be a bad person).

Belief in a just world, Hartshorne argued, is crucial for those seeking to protect the status quo:It seems psychologically necessary for anyone who wants to advocate for keeping things the way they are that the haves should keep on having, and the have-nots have got as much as they deserve. I don’t see how you could advocate for such a position while simultaneously viewing yourself as moral (and almost everyone believes that they themselves are moral) without also believing in the just world

Conversely, if you generally believe the world is not just, and you view yourself as a moral person, then you are likely to feel like you have an obligation to change things.

I asked Lene Aaroe, a political scientist at Aarhus University in Denmark, why the contemporary American political system is as polarized as it is now, given that the liberal-conservative schism is longstanding. What has happened to produce such intense hostility between left and right?

There is variation across countries in hostility between left and right. The United States is a particularly polarized case which calls for a contextual explanatio

A central explanation typically offered for the current situation in American politics is that partisanship and political ideology have developed into strong social identities where the mass public is increasingly sorted — along social, partisan, and ideological lines.

I then asked Aaroe why surveys find that conservatives are happier than liberals. “Some research,” she replied, “suggests that experiences of inequality constitute a larger psychological burden to liberals because it is more difficult for liberals to rationalize inequality as a phenomenon with positive consequences.”

Steven Pinker, a professor of psychology at Harvard, elaborated in an email on the link between conservatism and happiness:

t’s a combination of factors. Conservatives are likelier to be married, patriotic, and religious, all of which make people happier

They may be less aggrieved by the status quo, whereas liberals take on society’s problems as part of their own personal burdens. Liberals also place politics closer to their identity and striving for meaning and purpose, which is a recipe for frustration.

Some features of the woke faction of liberalism may make people unhappier: as Jon Haidt and Greg Lukianoff have suggested, wokeism is Cognitive Behavioral Therapy in reverse, urging upon people maladaptive mental habits such as catastrophizing, feeling like a victim of forces beyond one’s control, prioritizing emotions of hurt and anger over rational analysis, and dividing the world into allies and villains.

Why, I asked Pinker, would liberals and conservatives react differently — often very differently — to messages that highlight threat?

It may be liberals (or at least the social-justice wing) who are more sensitive to threats, such as white supremacy, climate change, and patriarchy; who may be likelier to moralize, seeing racism and transphobia in messages that others perceive as neutral; and being likelier to surrender to emotions like “harm” and “hurt.”

The authors used neural imaging to follow changes in the dorsomedial prefrontal cortex (known as DMPFC) as conservatives and liberals watched videos presenting strong positions, left and right, on immigration.

there are ways to persuade conservatives to support liberal initiatives and to persuade liberals to back conservative proposals:

While liberals tend to be more concerned with protecting vulnerable groups from harm and more concerned with equality and social justice than conservatives, conservatives tend to be more concerned with moral issues like group loyalty, respect for authority, purity and religious sanctity than liberals are. Because of these different moral commitments, we find that liberals and conservatives can be persuaded by quite different moral arguments

For example, we find that conservatives are more persuaded by a same-sex marriage appeal articulated in terms of group loyalty and patriotism, rather than equality and social justice.

“political arguments reframed to appeal to the moral values of those holding the opposing political position are typically more effective

We find support for these claims across six studies involving diverse political issues, including same-sex marriage, universal health care, military spending, and adopting English as the nation’s official language.”

In one test of persuadability on the right, Feinberg and Willer assigned some conservatives to read an editorial supporting universal health care as a matter of “fairness (health coverage is a basic human right)” or to read an editorial supporting health care as a matter of “purity (uninsured people means more unclean, infected, and diseased Americans).”

Conservatives who read the purity argument were much more supportive of health care than those who read the fairness case.

Liberals who read the fairness argument were substantially more supportive of military spending than those who read the loyalty and authority argument.

In “Conservative and Liberal Attitudes Drive Polarized Neural Responses to Political Content,” Willer, Yuan Chang Leong of the University of Chicago, Janice Chen of Johns Hopkins and Jamil Zaki of Stanford address the question of how partisan biases are encoded in the brain:

society. How do such biases arise in the brain? We measured the neural activity of participants watching videos related to immigration policy. Despite watching the same videos, conservative and liberal participants exhibited divergent neural responses. This “neural polarization” between groups occurred in a brain area associated with the interpretation of narrative content and intensified in response to language associated with risk, emotion, and morality. Furthermore, polarized neural responses predicted attitude change in response to the videos.

The four authors argue that their “findings suggest that biased processing in the brain drives divergent interpretations of political information and subsequent attitude polarization.” These results, they continue, “shed light on the psychological and neural underpinnings of how identical information is interpreted differently by conservatives and liberals.”

While liberals and conservatives, guided by different sets of moral values, may make agreement on specific policies difficult, that does not necessarily preclude consensus.

or each video,” they write,participants with DMPFC activity time courses more similar to that of conservative-leaning participants became more likely to support the conservative positio

Conversely, those with DMPFC activity time courses more similar to that of liberal-leaning participants became more likely to support the liberal position. These results suggest that divergent interpretations of the same information are associated with increased attitude polarizatio

Together, our findings describe a neural basis for partisan biases in processing political information and their effects on attitude change.

Describing their neuroimaging method, the authors point out that theysearched for evidence of “neural polarization” activity in the brain that diverges between people who hold liberal versus conservative political attitudes. Neural polarization was observed in the dorsomedial prefrontal cortex (DMPFC), a brain region associated with the interpretation of narrative content.

The question is whether the political polarization that we are witnessing now proves to be a core, encoded aspect of the human mind, difficult to overcome — as Leong, Chen, Zaki and Willer sugges

— or whether, with our increased knowledge of the neural basis of partisan and other biases, we will find more effective ways to manage these most dangerous of human predispositions.

it is clear that its widespread adoption is a matter of when, not if. There is no debate that we are moving towards a world where “real life” and digital technology seamlessly blur

Over the years there have been multiple reports of people being harassed and even “raped” in the metaverse: an experience that feels scarily real because of how immersive virtual reality is. As the lines between real life and the digital world blur to a point that they are almost indistinguishable, will there be a meaningful difference between online assault and an attack in real life?

more broadly, spatial computing is going to alter what we consider reality

Researchers from Stanford and Michigan University recently undertook a study on the Vision Pro and other “passthrough” headsets (that’s the technical term for the feature which brings VR content into your real-world surrounding so you see what’s around you while using the device) and emerged with some stark warnings about how this tech might rewire our brains and “interfere with social connection”.

These headsets essentially give us all our private worlds and rewrite the idea of a shared reality. The cameras through which you see the world can edit your environment – you can walk to the shops wearing it, for example, and it might delete all the homeless people from your view and make the sky brighter.

“What we’re about to experience is, using these headsets in public, common ground disappears,”

“People will be in the same physical place, experiencing simultaneous, visually different versions of the world. We’re going to lose common ground.”

It’s not just the fact that our perception of reality might be altered that’s scary: it’s the fact that a small number of companies will have so much control over how we see the world. Think about how much influence big tech already has when it comes to content we see, and then multiply that a million times over. You think deepfakes are scary? Wait until they seem even more realistic.

We’re seeing a global rise of authoritarianism. If we’re not careful this sort of technology is going to massively accelerate it.

Being able to suck people into an alternate universe, numb them with entertainment, and dictate how they see reality? That’s an authoritarian’s dream. We’re entering an age where people can be mollified and manipulated like never before