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it is comforting to think that scientific truth inevitably emerges and scientific frauds will be caught and punished.

Dr. Hwang’s scandal suggests something different. Researchers don’t always have the resources or motivation to replicate others’ experiments

Even if they try to replicate and fail, it is the institution where the scientist works that has the right and responsibility to investigate possible fraud. Research institutes and universities, facing the prospect of an embarrassing scandal, might not do so.

 virtual influencers can also be cost-effective and provide more flexibility than a human alternative. 

“When it comes to an endorsement by a virtual influencer, the followers start questioning the expertness of the influencer on the field of the endorsed product/service,” he says. “Pretending that the influencer has actual experience with the product backfires.”

In one part of the study, about 300 participants were shown a social-media post purported to be from an influencer about either ice cream or sunglasses. Then, roughly half were told the influencer was human and half were told she was virtual. Regardless of the product, participants perceived the virtual influencer to be less credible than its “human” counterpart. Participants who were told the influencer was virtual also had a less-positive attitude toward the brand behind the product.

When the influencers “can’t really use the brand they are promoting,” it’s hard to see them as trustworthy experts, say Ozdemir.

Two groups saw a post with an emotional endorsement where the influencer uses words like love and adore. The other two groups saw a more staid post, focusing on specific software features. In each scenario one group was told the influencer was human and one group was told the influencer was virtual.

For the emotional endorsement, participants found the human influencer to be more credible. Participants who were told the influencer was human also had a more positive view of the brand than those who were told the influencer was virtual.

For the more factual endorsement, however, there was no statistically significant difference between the two groups when it came to influencer credibility or brand perception.

“When it comes to delivering a more factual endorsement, highlighting features that could be found by doing an internet search, participants really didn’t seem to care if the influencer was human or not,”

"Go ask him what he means by 'I now know what I need to do,'" she instructed Bremmer. "If it's a matter of him picking up an automatic rifle or something, we have to intervene."

As he clarified to Bremmer, love is what he had just realised he had to do. "Love is the most important thing," he told the baffled research assistant. "Nothing matters without

When de Wit recounted this story to me nearly two years after the fact, she still could hardly believe it. "Isn't that amazing?" she said. "It's what everyone says about this damn drug, that it makes people feel love. To think that a drug could change somebody's beliefs and thoughts without any expectations – it's mind-boggling."

Over the past few years, I've been investigating the scientific research and medical potential of MDMA for a book called "I Feel Love: MDMA and the Quest for Connection in a Fractured World". I learnt how this once-vilified drug is now remerging as a therapeutic agent – a role it previously played in the 1970s and 1980s, prior to its criminalisation

He attended the notorious "Unite the Right" rally in Charlottesville and quickly rose up the ranks of his organisation, first becoming the coordinator for Illinois and then the entire Midwest. He travelled to Europe and around the US to meet other white nationalist groups, with the ultimate goal of taking the movement mainstream

some researchers have begun to wonder if it could be an effective tool for pushing people who are already somehow primed to reconsider their ideology toward a new way of seeing things

While MDMA cannot fix societal-level drivers of prejudice and disconnection, on an individual basis it can make a difference. In certain cases, the drug may even be able to help people see through the fog of discrimination and fear that divides so many of us.

in December 2021 I paid Brendan a visit

What I didn't expect was how ordinary the 31-year-old who answered the door would appear to be: blue plaid button-up shirt, neatly cropped hair, and a friendly smile.

Brendan grew up in an affluent Chicago suburb in an Irish Catholic family. He leaned liberal in high school but got sucked into white nationalism at the University of Illinois Urbana-Champaign, where he joined a fraternity mostly composed of conservative Republican men, began reading antisemitic conspiracy books, and fell down a rabbit hole of racist, sexist content online. Brendan was further emboldened by the populist rhetoric of Donald Trump during his presidential campaign. "His speech talking about Mexicans being rapists, the fixation on the border wall and deporting everyone, the Muslim ban – I didn't really get white nationalism until Trump started running for president," Brendan said.

If this comes to pass, MDMA – and other psychedelics-assisted therapy – could transform the field of mental health through widespread clinical use in the US and beyond, for addressing trauma and possibly other conditions as well, including substance use disorders, depression and eating disorders.

A group of anti-fascist activists published identifying information about him and more than 100 other people in Identity Evropa. He was immediately fired from his job and ostracised by his siblings and friends outside white nationalism.

When Brendan saw a Facebook ad in early 2020 for some sort of drug trial at the University of Chicago, he decided to apply just to have something to do and to earn a little money

At the time, Brendan was "still in the denial stage" following his identity becoming public, he said. He was racked with regret – not over his bigoted views, which he still held, but over the missteps that had landed him in this predicament.

About 30 minutes after taking the pill, he started to feel peculiar. "Wait a second – why am I doing this? Why am I thinking this way?" he began to wonder. "Why did I ever think it was okay to jeopardise relationships with just about everyone in my life?"

Just then, Bremmer came to collect Brendan to start the experiment. Brendan slid into an MRI, and Bremmer started tickling his forearm with a brush and asked him to rate how pleasant it felt. "I noticed it was making me happier – the experience of the touch," Brendan recalled. "I started progressively rating it higher and higher." As he relished in the pleasurable feeling, a single, powerful word popped into his mind: connection.

It suddenly seemed so obvious: connections with other people were all that mattered. "This is stuff you can't really put into words, but it was so profound," Brendan said. "I conceived of my relationships with other people not as distinct boundaries with distinct entities, but more as we-are-all-on

I realised I'd been fixated on stuff that doesn't really matter, and is just so messed up, and that I'd been totally missing the point. I hadn't been soaking up the joy that life has to offer."

Brendan hired a diversity, equity, and inclusion consultant to advise him, enrolled in therapy, began meditating, and started working his way through a list of educational books. S still regularly communicates with Brendan and, for his part, thinks that Brendan is serious in his efforts to change

"I think he is trying to better himself and work on himself, and I do think that experience with MDMA had an impact on him. It's been a touchstone for growth, and over time, I think, the reflection on that experience has had a greater impact on him than necessarily the experience itself."

Brendan is still struggling, though, to make the connections with others that he craves. When I visited him, he'd just spent Thanksgiving alone

He also has not completely abandoned his bigoted ideology, and is not sure that will ever be possible. "There are moments when I have racist or antisemitic thoughts, definitely," he said. "But now I can recognise that those kinds of thought patterns are harming me more than anyone else."

it's not without precedent. In the 1980s, for example, an acquaintance of early MDMA-assisted therapy practitioner Requa Greer administered the drug to a pilot who had grown up in a racist home and had inherited those views. The pilot had always accepted his bigoted way of thinking as being a normal, accurate reflection of the way things were. MDMA, however, "gave him a clear vision that unexamined racism was both wrong and mean," Greer says

Encouraging stories of seemingly spontaneous change appear to be exceptions to the norm, however, and from a neurological point of view, this makes sense

Research shows that oxytocin – one of the key hormones that MDMA triggers neurons to release – drives a "tend and defend" response across the animal kingdom. The same oxytocin that causes a mother bear to nurture her newborn, for example, also fuels her rage when she perceives a threat to her cub. In people, oxytocin likewise strengthens caregiving tendencies toward liked members of a person's in-group and strangers perceived to belong to the same group, but it increases hostility toward individuals from disliked groups

In a 2010 study published in Science, for example, men who inhaled oxytocin were three times more likely to donate money to members of their team in an economic game, as well as more likely to harshly punish competing players for not donating enough. (Read more: "The surprising downsides of empathy.")

According to research published this week in Nature by Johns Hopkins University neuroscientist Gül Dölen, MDMA and other psychedelics – including psilocybin, LSD, ketamine and ibogaine – work therapeutically by reopening a critical period in the brain. Critical periods are finite windows of impressionability that typically occur in childhood, when our brains are more malleable and primed to learn new things

Dölen and her colleagues' findings likewise indicate that, without the proper set and setting, MDMA and other psychedelics probably do not reopen critical periods, which means they will not have a spontaneous, revelatory effect for ridding someone of bigoted beliefs.

In the West, plenty of members of right-wing authoritarian political movements, including neo-Nazi groups, also have track records of taking MDMA and other psychedelics

This suggests, researchers write, that psychedelics are nonspecific, "politically pluripotent" amplifiers of whatever is going on in somebody's head, with no particular directional leaning "on the axes of conservatism-liberalism or authoritarianism-egalitarianism."

That said, a growing body of scientific evidence indicates that the human capacity for compassion, kindness, empathy, gratitude, altruism, fairness, trust, and cooperation are core features of our natures

As Emory University primatologist Frans de Waal wrote, "Empathy is the one weapon in the human repertoire that can rid us of the curse of xenophobia."

Ginsberg also envisions using the drug in workshops aimed at eliminating racism, or as a means of bringing people together from opposite sides of shared cultural histories to help heal intergenerational trauma. "I think all psychedelics have a role to play, but I think MDMA has a particularly key role because you're both expanded and present, heart-open and really able to listen in a new way," Ginsberg says. "That's something really powerful."

"If you give MDMA to hard-core haters on each side of an issue, I don't think it'll do a lot of good,"

if you start with open-minded people on both sides, then I think it can work. You can improve communications and build empathy between groups, and help people be more capable of analysing the world from a more balanced perspective rather than from fear-based, anxiety-based distrust."

In 2021, Ginsberg and Doblin were coauthors on a study investigating the possibility of using ayahuasca – a plant-based psychedelic – in group contexts to bridge divides between Palestinians and Israelis, with positive findings

"I kind of have a fantasy that maybe as we get more reacquainted with psychedelics, there could be group-based experiences that build community resiliency and are intentionally oriented toward breaking down barriers between people, having people see things from other perspectives and detribalising our society,

"But that's not going to happen on its own. It would have to be intentional, and – if it happens – it would probably take multiple generations."

Based on his experience with extremism, Brendan agreed with expert takes that no drug, on its own, will spontaneously change the minds of white supremacists or end political conflict in the US

he does think that, with the right framing and mindset, MDMA could be useful for people who are already at least somewhat open to reconsidering their ideologies, just as it was for him. "It helped me see things in a different way that no amount of therapy or antiracist literature ever would have done," he said. "I really think it was a breakthrough experience."

Psychological avoidance is akin to an ostrich burying its head in the sand, choosing ignorance over confrontation, all while a storm brews in the background.

depression and anxiety disorders cost the global economy $1 trillion each year in lost productivity.

avoidance, a strategy that not only fails to solve problems but fuels them.

Psychological avoidance isn’t about the actions we take or don’t take, but the intentions behind them. If our actions aim to squash discomfort hastily, then we’re probably 2favoiding

the three ways people tend to practice psychological avoidance.

Reacting

It’s when we reply hastily to an email that upsets us or raise our voices without considering the consequences.

Reacting is any response that seeks to eliminate the source of discomfort

Retreating

Retreating is the act of moving away or pulling back from anxiety-inducing situations

For example, my client with the fear of public speaking took a different job to avoid it. Others may reach for a glass of wine to numb out o

Remaining

Remaining is sticking to the status quo to avoid the discomfort of change.

Psychological avoidance is a powerful enemy, but there are three science-based skills to fight it.

Shifting involves checking in with your thoughts, especially when anxiety comes knocking. In those moments, we often have black-and-white, distorted thoughts, just like my client, who was worried about being in a romantic relationship, telling himself, “I will never be in a good relationship.”

Shifting is taking off dark, monochrome glasses and seeing the world in color again. Challenge your thoughts, clean out your lenses, by asking yourself, “Would I say this to my best friend in this scenario?

Approaching

taking a step that feels manageable.

The opposite of avoiding is approaching

Ask yourself: What is one small step I can take toward my fears and anxiety to overcome my avoidance.

Aligning

Aligning is living a values-driven life, where our daily actions are aligned with what matters the most to us: our values.

This is the opposite of what most of us do while anxious. In moments of intense anxiety, we tend to let our emotions, not our values, dictate our actions. To live a values-driven life, we need to first identify our values, whether that is health, family, work or something else. Then we need to dedicate time and effort to our values.

The fact that Thomas was very likely nominated because he was Black and because he opposed affirmative action posed a conundrum for many supporters of racial preferences. Was being Black enough? Or did you have to be “the right kind” of Black person? It’s a question Carter openly wrestles with in his book.

What immediately struck me on rereading it was how prescient Carter was about these debates 32 years ago. What role affirmative action should take was playing out then in ways that continue to reverberate.

The demise of affirmative action, in Carter’s view, was both necessary and inevitable. “We must reject the common claim that an end to preferences ‘would be a disastrous situation, amounting to a virtual nullification of the 1954 desegregation ruling,’” he wrote, quoting the activist and academic Robert Allen. “The prospect of its end should be a challenge and a chance.”

Like many people today — both proponents and opponents of affirmative action — he expressed reservations about relying on diversity as the constitutional basis for racial preferences.

Carter bristled at the judgment of many of his Black peers, describing several situations in which he found himself accused of being “inauthentically” Black, as if people of a particular race were a monolith and that those who deviated from it were somehow shirking their duty. He said he didn’t want to be limited in what he was allowed to say by “an old and vicious form of silencing.”

But the implication of recruiting for diversity, Carter explained, had less to do with admitting Black students to redress past discrimination and more to do with supporting and reinforcing essentialist notions about Black people.

An early critic of groupthink, Carter warned against “the idea that Black people who gain positions of authority or influence are vested a special responsibility to articulate the presumed views of other people who are Black — in effect, to think and act and speak in a particular way, the Black way — and that there is something peculiar about Black people who insist on doing anything else.”

A graduate of Stanford and Yale Law, Carter was a proud beneficiary of affirmative action. Yet he acknowledged the personal toll it took (“a decidedly mixed blessing”) as well as affirmative action’s sometimes troubling effects on Black people as the programs evolved.

, it’s hard to imagine Carter welcoming the current vogue for white allyship, with its reductive assumption that all Black people have the same interests and values

He disparaged what he called “the peculiar relationship between Black intellectuals and the white ones who seem loath to criticize us for fear of being branded racists — which is itself a mark of racism of a sort.”

In the past, such ideas might have been seen as “frankly racist,” Carter noted. “Now, however, they are almost a gospel for people who want to show their commitment to equality.”

Carter took issue with the belief, now practically gospel in academic, cultural and media circles, that heightened race consciousness would be central to overcoming racism

However well intentioned you may be, when you reduce people to their race-based identity rather than view them as individuals in their full, complex humanity, you risk making sweeping assumptions about who they are. This used to be called stereotyping or racism.

he rejected all efforts to label him, insisting that intellectuals should be “politically unpredictable.

“Critics who attempt to push (or pull) Carter into the ranks of the Black right wing will be making a mistake. He is not a conservative, neo- or otherwise. He is an honest Black scholar — the product of the pre-politically correct era — who abhors the stifling of debate by either wing or by people of any hue.”

This strikes me as the greatest difference between reading the book today and reading it as an undergrad at a liberal Ivy League college: the attitude toward debating controversial views. “Reflections” offers a vigorous and unflinching examination of ideas, something academia, media and the arts still prized in 1991.

Today, a kind of magical thinking has seized ideologues on both the left and the right, who seem to believe that stifling debate on difficult questions will make them go away

That allows quantum computers to make many calculations in one pass, while digital ones have to perform each calculation separately. By speeding up computation, quantum computers could potentially solve big, complex problems in fields like chemistry and materials science that are out of reach today.

When Google researchers made their supremacy claim in 2019, they said their quantum computer performed a calculation in 3 minutes 20 seconds that would take about 10,000 years on a state-of-the-art conventional supercomputer.

The IBM researchers in the new study performed a different task, one that interests physicists. They used a quantum processor with 127 qubits to simulate the behavior of 127 atom-scale bar magnets — tiny enough to be governed by the spooky rules of quantum mechanics — in a magnetic field. That is a simple system known as the Ising model, which is often used to study magnetism.

This problem is too complex for a precise answer to be calculated even on the largest, fastest supercomputers.

On the quantum computer, the calculation took less than a thousandth of a second to complete. Each quantum calculation was unreliable — fluctuations of quantum noise inevitably intrude and induce errors — but each calculation was quick, so it could be performed repeatedly.

Indeed, for many of the calculations, additional noise was deliberately added, making the answers even more unreliable. But by varying the amount of noise, the researchers could tease out the specific characteristics of the noise and its effects at each step of the calculation.“We can amplify the noise very precisely, and then we can rerun that same circuit,” said Abhinav Kandala, the manager of quantum capabilities and demonstrations at IBM Quantum and an author of the Nature paper. “And once we have results of these different noise levels, we can extrapolate back to what the result would have been in the absence of noise.”In essence, the researchers were able to subtract the effects of noise from the unreliable quantum calculations, a process they call error mitigation.

Altogether, the computer performed the calculation 600,000 times, converging on an answer for the overall magnetization produced by the 127 bar magnets.

Although an Ising model with 127 bar magnets is too big, with far too many possible configurations, to fit in a conventional computer, classical algorithms can produce approximate answers, a technique similar to how compression in JPEG images throws away less crucial data to reduce the size of the file while preserving most of the image’s details

Certain configurations of the Ising model can be solved exactly, and both the classical and quantum algorithms agreed on the simpler examples. For more complex but solvable instances, the quantum and classical algorithms produced different answers, and it was the quantum one that was correct.

Thus, for other cases where the quantum and classical calculations diverged and no exact solutions are known, “there is reason to believe that the quantum result is more accurate,”

Mr. Anand is currently trying to add a version of error mitigation for the classical algorithm, and it is possible that could match or surpass the performance of the quantum calculations.

In the long run, quantum scientists expect that a different approach, error correction, will be able to detect and correct calculation mistakes, and that will open the door for quantum computers to speed ahead for many uses.

Error correction is already used in conventional computers and data transmission to fix garbles. But for quantum computers, error correction is likely years away, requiring better processors able to process many more qubits

“This is one of the simplest natural science problems that exists,” Dr. Gambetta said. “So it’s a good one to start with. But now the question is, how do you generalize it and go to more interesting natural science problems?”

Those might include figuring out the properties of exotic materials, accelerating drug discovery and modeling fusion reactions.

Choosing the less-efficient way of doing something, especially things we do for pleasure, can help us reassess our relationship with time and forgo the constant need for productivity.

If you didn’t study Jane Austen while you were here, you probably lack the capacity to think clearly about making a marriage decision. If you didn’t read George Eliot, then you missed a master class on how to judge people’s character. If you didn’t read Nietzsche, you are probably unprepared to handle the complexities of atheism—and if you didn’t read Augustine and Kierkegaard, you’re probably unprepared to handle the complexities of faith.

The list goes on. If you didn’t read de Tocqueville, you probably don’t understand your own country. If you didn’t study Gibbon, you probably lack the vocabulary to describe the rise and fall of cultures and nations.

The wisdom of the ages is your inheritance; it can make your life easier. These resources often fail to get shared because universities are too careerist, or because faculty members are more interested in their academic specialties or politics than in teaching undergraduates, or because of a host of other reasons

What are you putting into your mind? Our culture spends a lot less time worrying about this, and when it does, it goes about it all wrong.

my worry is that, especially now that you’re out of college, you won’t put enough really excellent stuff into your brain.

I worry that it’s possible to grow up now not even aware that those upper registers of human feeling and thought exist.

The theory of maximum taste says that each person’s mind is defined by its upper limit—the best that it habitually consumes and is capable of consuming.

After college, most of us resolve to keep doing this kind of thing, but we’re busy and our brains are tired at the end of the day. Months and years go by. We get caught up in stuff, settle for consuming Twitter and, frankly, journalism. Our maximum taste shrinks.

I’m worried about the future of your maximum taste. People in my and earlier generations, at least those lucky enough to get a college education, got some exposure to the classics, which lit a fire that gets rekindled every time we sit down to read something really excellent.

the “theory of maximum taste.” This theory is based on the idea that exposure to genius has the power to expand your consciousness. If you spend a lot of time with genius, your mind will end up bigger and broader than if you spend your time only with run-of-the-mill stuff.

the whole culture is eroding the skill the UCLA scholar Maryanne Wolf calls “deep literacy,” the ability to deeply engage in a dialectical way with a text or piece of philosophy, literature, or art.

“To the extent that you cannot perceive the world in its fullness, to the same extent you will fall back into mindless, repetitive, self-reinforcing behavior, unable to escape.”

I can’t say that to you, because it sounds fussy and elitist and OK Boomer. And if you were in front of me, you’d roll your eyes.

“I continued to be duped by ChatGPT. It’s embarrassing,” Mr. Schwartz said.

As Mr. Schwartz answered the judge’s questions, the reaction in the courtroom, crammed with close to 70 people who included lawyers, law students, law clerks and professors, rippled across the benches. There were gasps, giggles and sighs. Spectators grimaced, darted their eyes around, chewed on pens.

“This case has reverberated throughout the entire legal profession,” said David Lat, a legal commentator. “It is a little bit like looking at a car wreck.”

The episode, which arose in an otherwise obscure lawsuit, has riveted the tech world, where there has been a growing debate about the dangers — even an existential threat to humanity — posed by artificial intelligence. It has also transfixed lawyers and judges.

Avianca asked Judge Castel to dismiss the lawsuit because the statute of limitations had expired. Mr. Mata’s lawyers responded with a 10-page brief citing more than half a dozen court decisions, with names like Martinez v. Delta Air Lines, Zicherman v. Korean Air Lines and Varghese v. China Southern Airlines, in support of their argument that the suit should be allowed to proceed.After Avianca’s lawyers could not locate the cases, Judge Castel ordered Mr. Mata’s lawyers to provide copies. They submitted a compendium of decisions.It turned out the cases were not real.

Mr. Schwartz, who has practiced law in New York for 30 years, said in a declaration filed with the judge this week that he had learned about ChatGPT from his college-aged children and from articles, but that he had never used it professionally.He told Judge Castel on Thursday that he had believed ChatGPT had greater reach than standard databases.“I heard about this new site, which I falsely assumed was, like, a super search engine,” Mr. Schwartz said.

Irina Raicu, who directs the internet ethics program at Santa Clara University, said this week that the Avianca case clearly showed what critics of such models have been saying, “which is that the vast majority of people who are playing with them and using them don’t really understand what they are and how they work, and in particular what their limitations are.”

“This case has changed the urgency of it,” Professor Roiphe said. “There’s a sense that this is not something that we can mull over in an academic way. It’s something that has affected us right now and has to be addressed.”

In the declaration Mr. Schwartz filed this week, he described how he had posed questions to ChatGPT, and each time it seemed to help with genuine case citations. He attached a printout of his colloquy with the bot, which shows it tossing out words like “sure” and “certainly!”After one response, ChatGPT said cheerily, “I hope that helps!”

“The curriculum covers topics from causal modeling and probability to game theory and cognitive science,” read a website promising teens a summer of Rationalist learning. “How can we understand our own reasoning, behavior, and emotions? How can we think more clearly and better achieve our goals?”

Some lived in group houses. Some practiced polyamory. “They are basically just hippies who talk a lot more about Bayes’ theorem than the original hippies,” said Scott Aaronson, a University of Texas professor who has stayed in one of the group houses.

For Kelsey Piper, who embraced these ideas in high school, around 2010, the movement was about learning “how to do good in a world that changes very rapidly.”

Yes, the community thought about A.I., she said, but it also thought about reducing the price of health care and slowing the spread of disease.

Slate Star Codex, which sprung up in 2013, helped her develop a “calibrated trust” in the medical system. Many people she knew, she said, felt duped by psychiatrists, for example, who they felt weren’t clear about the costs and benefits of certain treatment.

That was not the Rationalist way.

“There is something really appealing about somebody explaining where a lot of those ideas are coming from and what a lot of the questions are,” she said.

Sam Altman, chief executive of OpenAI, an artificial intelligence lab backed by a billion dollars from Microsoft. He was effusive in his praise of the blog.It was, he said, essential reading among “the people inventing the future” in the tech industry.

Mr. Altman, who had risen to prominence as the president of the start-up accelerator Y Combinator, moved on to other subjects before hanging up. But he called back. He wanted to talk about an essay that appeared on the blog in 2014.The essay was a critique of what Mr. Siskind, writing as Scott Alexander, described as “the Blue Tribe.” In his telling, these were the people at the liberal end of the political spectrum whose characteristics included “supporting gay rights” and “getting conspicuously upset about sexists and bigots.”

But as the man behind Slate Star Codex saw it, there was one group the Blue Tribe could not tolerate: anyone who did not agree with the Blue Tribe. “Doesn’t sound quite so noble now, does it?” he wrote.

Mr. Altman thought the essay nailed a big problem: In the face of the “internet mob” that guarded against sexism and racism, entrepreneurs had less room to explore new ideas. Many of their ideas, such as intelligence augmentation and genetic engineering, ran afoul of the Blue Tribe.

Mr. Siskind was not a member of the Blue Tribe. He was not a voice from the conservative Red Tribe (“opposing gay marriage,” “getting conspicuously upset about terrorists and commies”). He identified with something called the Grey Tribe — as did many in Silicon Valley.

The Grey Tribe was characterized by libertarian beliefs, atheism, “vague annoyance that the question of gay rights even comes up,” and “reading lots of blogs,” he wrote. Most significantly, it believed in absolute free speech.

The essay on these tribes, Mr. Altman told me, was an inflection point for Silicon Valley. “It was a moment that people talked about a lot, lot, lot,” he said.

And in some ways, two of the world’s prominent A.I. labs — organizations that are tackling some of the tech industry’s most ambitious and potentially powerful projects — grew out of the Rationalist movement.

In 2005, Peter Thiel, the co-founder of PayPal and an early investor in Facebook, befriended Mr. Yudkowsky and gave money to MIRI. In 2010, at Mr. Thiel’s San Francisco townhouse, Mr. Yudkowsky introduced him to a pair of young researchers named Shane Legg and Demis Hassabis. That fall, with an investment from Mr. Thiel’s firm, the two created an A.I. lab called DeepMind.

Like the Rationalists, they believed that A.I could end up turning against humanity, and because they held this belief, they felt they were among the only ones who were prepared to build it in a safe way.

In 2014, Google bought DeepMind for $650 million. The next year, Elon Musk — who also worried A.I. could destroy the world and met his partner, Grimes, because they shared an interest in a Rationalist thought experiment — founded OpenAI as a DeepMind competitor. Both labs hired from the Rationalist community.

Mr. Aaronson, the University of Texas professor, was turned off by the more rigid and contrarian beliefs of the Rationalists, but he is one of the blog’s biggest champions and deeply admired that it didn’t avoid live-wire topics.

“It must have taken incredible guts for Scott to express his thoughts, misgivings and questions about some major ideological pillars of the modern world so openly, even if protected by a quasi-pseudonym,” he said

In late June of last year, not long after talking to Mr. Altman, the OpenAI chief executive, I approached the writer known as Scott Alexander, hoping to get his views on the Rationalist way and its effect on Silicon Valley. That was when the blog vanished.

The issue, it was clear to me, was that I told him I could not guarantee him the anonymity he’d been writing with. In fact, his real name was easy to find because people had shared it online for years and he had used it on a piece he’d written for a scientific journal. I did a Google search for Scott Alexander and one of the first results I saw in the auto-complete list was Scott Alexander Siskind.

More than 7,500 people signed a petition urging The Times not to publish his name, including many prominent figures in the tech industry. “Putting his full name in The Times,” the petitioners said, “would meaningfully damage public discourse, by discouraging private citizens from sharing their thoughts in blog form.” On the internet, many in Silicon Valley believe, everyone has the right not only to say what they want but to say it anonymously.

I spoke with Manoel Horta Ribeiro, a computer science researcher who explores social networks at the Swiss Federal Institute of Technology in Lausanne. He was worried that Slate Star Codex, like other communities, was allowing extremist views to trickle into the influential tech world. “A community like this gives voice to fringe groups,” he said. “It gives a platform to people who hold more extreme views.”

I assured her my goal was to report on the blog, and the Rationalists, with rigor and fairness. But she felt that discussing both critics and supporters could be unfair. What I needed to do, she said, was somehow prove statistically which side was right.

When I asked Mr. Altman if the conversation on sites like Slate Star Codex could push people toward toxic beliefs, he said he held “some empathy” for these concerns. But, he added, “people need a forum to debate ideas.”

In August, Mr. Siskind restored his old blog posts to the internet. And two weeks ago, he relaunched his blog on Substack, a company with ties to both Andreessen Horowitz and Y Combinator. He gave the blog a new title: Astral Codex Ten. He hinted that Substack paid him $250,000 for a year on the platform. And he indicated the company would give him all the protection he needed.

If Trump wins the GOP nomination despite all, will CNN treat him and his fanboys as normal politicians and voters, putting January 6th and everything else in the memory hole, in pursuit of a supposed evenhandedness that in fact distorts reality? All while the nation teeters on the brink of another Trump presidency?

after the military in Myanmar used Facebook to stoke the murder of the Rohingya people, Haugen began to worry that this was a playbook that could be infinitely repeated — and only because Facebook chose not to invest in safety measures, such as detecting hate speech in poorer, more vulnerable places. “The scale of the problems was so vast,” she writes. “I believed people were going to die (in certain countries, at least) and for no reason other than higher profit margins.”

After a trip to Cambodia, where neighbors killed neighbors in the 1970s because of a “story that labeled people who had lived next to each other for generations as existential threats,” she’d started to wonder about what caused people to turn on one another to such a horr

ifying degree. “How quickly could a story become the truth people perceived?”

she points out is the false choice posited by most social media companies: free speech vs. censorship. She argues that lack of transparency is what contributed most to the problems at Facebook. No one on the outside can see inside the algorithms. Even many of those on the inside can’t. “You can’t take a single academic course, anywhere in the world, on the tradeoffs and choices that go into building a social media algorithm or, more importantly, the consequences of those choices,” she writes.

In that lack of accountability, social media is a very different ecosystem than the one that helped Ralph Nader take on the auto industry back in the 1960s. Then, there was a network of insurers and plaintiff’s lawyers who also wanted change — and the images of mangled bodies were a lot more visible than what happens inside the mind of a teenage girl. But what if the government forced companies to share their inner workings in the same way it mandates that food companies disclose the nutrition in what they make? What if the government forced social media companies to allow academics and other researchers access to the algorithms they use?

Most A.I. researchers agree that models trained using R.L.H.F. are better behaved than models without it. But some argue that fine-tuning a language model this way doesn’t actually make the underlying model less weird and inscrutable. In their view, it’s just a flimsy, friendly mask that obscures the mysterious beast underneath.

In a nutshell, the joke was that in order to prevent A.I. language models from behaving in scary and dangerous ways, A.I. companies have had to train them to act polite and harmless. One popular way to do this is called “reinforcement learning from human feedback,” or R.L.H.F., a process that involves asking humans to score chatbot responses, and feeding those scores back into the A.I. model.

Shoggoths are fictional creatures, introduced by the science fiction author H.P. Lovecraft in his 1936 novella “At the Mountains of Madness.” In Lovecraft’s telling, Shoggoths were massive, blob-like monsters made out of iridescent black goo, covered in tentacles and eyes.

@TetraspaceWest said, wasn’t necessarily implying that it was evil or sentient, just that its true nature might be unknowable.

And it reinforces the notion that what’s happening in A.I. today feels, to some of its participants, more like an act of summoning than a software development process. They are creating the blobby, alien Shoggoths, making them bigger and more powerful, and hoping that there are enough smiley faces to cover the scary parts.

“I was also thinking about how Lovecraft’s most powerful entities are dangerous — not because they don’t like humans, but because they’re indifferent and their priorities are totally alien to us and don’t involve humans, which is what I think will be true about possible future powerful A.I.”

when Bing’s chatbot became unhinged and tried to break up my marriage, an A.I. researcher I know congratulated me on “glimpsing the Shoggoth.” A fellow A.I. journalist joked that when it came to fine-tuning Bing, Microsoft had forgotten to put on its smiley-face mask.

@TetraspaceWest, the meme’s creator, told me in a Twitter message that the Shoggoth “represents something that thinks in a way that humans don’t understand and that’s totally different from the way that humans think.”

In any case, the Shoggoth is a potent metaphor that encapsulates one of the most bizarre facts about the A.I. world, which is that many of the people working on this technology are somewhat mystified by their own creations. They don’t fully understand the inner workings of A.I. language models, how they acquire new capabilities or why they behave unpredictably at times. They aren’t totally sure if A.I. is going to be net-good or net-bad for the world.

That some A.I. insiders refer to their creations as Lovecraftian horrors, even as a joke, is unusual by historical standards. (Put it this way: Fifteen years ago, Mark Zuckerberg wasn’t going around comparing Facebook to Cthulhu.)

If it’s an A.I. safety researcher talking about the Shoggoth, maybe that person is passionate about preventing A.I. systems from displaying their true, Shoggoth-like nature.

A great many people are dismissive of suggestions that any of these systems are “really” thinking, because they’re “just” doing something banal (like making statistical predictions about the next word in a sentence). What they fail to appreciate is that there is every reason to suspect that human cognition is “just” doing those exact same things. It matters not that birds flap their wings but airliners don’t. Both fly. And these machines think. And, just as airliners fly faster and higher and farther than birds while carrying far more weight, these machines are already outthinking the majority of humans at the majority of tasks. Further, that machines aren’t perfect thinkers is about as relevant as the fact that air travel isn’t instantaneous. Now consider: we’re well past the Wright flyer level of thinking machine, past the early biplanes, somewhere about the first commercial airline level. Not quite the DC-10, I think. Can you imagine what the AI equivalent of a 777 will be like? Fasten your seatbelts.

@thomas h. You make my point perfectly. You’re observing that the way a plane flies — by using a turbine to generate thrust from combusting kerosene, for example — is nothing like the way that a bird flies, which is by using the energy from eating plant seeds to contract the muscles in its wings to make them flap. You are absolutely correct in that observation, but it’s also almost utterly irrelevant. And it ignores that, to a first approximation, there’s no difference in the physics you would use to describe a hawk riding a thermal and an airliner gliding (essentially) unpowered in its final descent to the runway. Further, you do yourself a grave disservice in being dismissive of the abilities of thinking machines, in exactly the same way that early skeptics have been dismissive of every new technology in all of human history. Writing would make people dumb; automobiles lacked the intelligence of horses; no computer could possibly beat a chess grandmaster because it can’t comprehend strategy; and on and on and on. Humans aren’t nearly as special as we fool ourselves into believing. If you want to have any hope of acting responsibly in the age of intelligent machines, you’ll have to accept that, like it or not, and whether or not it fits with your preconceived notions of what thinking is and how it is or should be done … machines can and do think, many of them better than you in a great many ways. b&

@BLA. You are incorrect. Everything has nature. Its nature is manifested in making humans react. Sure, no humans, no nature, but here we are. The writer and various sources are not attributing nature to AI so much as admitting that they don’t know what this nature might be, and there are reasons to be scared of it. More concerning to me is the idea that this field is resorting to geek culture reference points to explain and comprehend itself. It’s not so much the algorithm has no soul, but that the souls of the humans making it possible are stupendously and tragically underdeveloped.

When even tech companies are saying AI is moving too fast, and the articles land on page 1 of the NYT (there's an old reference), I think the greedy will not think twice about exploiting this technology, with no ethical considerations, at all.

@nome sane? The problem is it isn't data as we understand it. We know what the datasets are -- they were used to train the AI's. But once trained, the AI is thinking for itself, with results that have surprised everybody.

The unique feature of a shoggoth is it can become whatever is needed for a particular job. There's no actual shape so it's not a bad metaphor, if an imperfect image. Shoghoths also turned upon and destroyed their creators, so the cautionary metaphor is in there, too. A shame more Asimov wasn't baked into AI. But then the conflict about how to handle AI in relation to people was key to those stories, too.

“I have long been interested in classifications of people, in how they affect the people classified, and how the effects on the people in turn change the classifications,” he wrote in “Making Up People

His work in the philosophy of science was groundbreaking: He departed from the preoccupation with questions that had long concerned philosophers. Arguing that science was just as much about intervention as it was about representation, be helped bring experimentation to center stage.

Regarding one such question — whether unseen phenomena like quarks and electrons were real or merely the theoretical constructs of physicists — he argued for reality in the case of phenomena that figured in experiments, citing as an example an experiment at Stanford that involved spraying electrons and positrons into a ball of niobium to detect electric charges. “So far as I am concerned,” he wrote, “if you can spray them, they’re real.”

His book “The Emergence of Probability” (1975), which is said to have inspired hundreds of books by other scholars, examined how concepts of statistical probability have evolved over time, shaping the way we understand not just arcane fields like quantum physics but also everyday life.

“I was trying to understand what happened a few hundred years ago that made it possible for our world to be dominated by probabilities,” he said in a 2012 interview with the journal Public Culture. “We now live in a universe of chance, and everything we do — health, sports, sex, molecules, the climate — takes place within a discourse of probabilities.”

Whatever the subject, whatever the audience, one idea that pervades all his work is that “science is a human enterprise,” Ragnar Fjelland and Roger Strand of the University of Bergen in Norway wrote when Professor Hacking won the Holberg Prize. “It is always created in a historical situation, and to understand why present science is as it is, it is not sufficient to know that it is ‘true,’ or confirmed. We have to know the historical context of its emergence.”

Hacking often argued that as the human sciences have evolved, they have created categories of people, and that people have subsequently defined themselves as falling into those categories. Thus does human reality become socially constructed.

In 2000, he became the first Anglophone to win a permanent position at the Collège de France, where he held the chair in the philosophy and history of scientific concepts until he retired in 2006.

“I call this the ‘looping effect,’” he added. “Sometimes, our sciences create kinds of people that in a certain sense did not exist before.”

In “Why Race Still Matters,” a 2005 article in the journal Daedalus, he explored how anthropologists developed racial categories by extrapolating from superficial physical characteristics, with lasting effects — including racial oppression. “Classification and judgment are seldom separable,” he wrote. “Racial classification is evaluation.”

Similarly, he once wrote, in the field of mental health the word “normal” “uses a power as old as Aristotle to bridge the fact/value distinction, whispering in your ear that what is normal is also right.”

In his influential writings about autism, Professor Hacking charted the evolution of the diagnosis and its profound effects on those diagnosed, which in turn broadened the definition to include a greater number of people.

Encouraging children with autism to think of themselves that way “can separate the child from ‘normalcy’ in a way that is not appropriate,” he told Public Culture. “By all means encourage the oddities. By no means criticize the oddities.”

His emphasis on historical context also illuminated what he called transient mental illnesses, which appear to be so confined 0cto their time 0c 0cthat they can vanish when times change.

“hysterical fugue” was a short-lived epidemic of compulsive wandering that emerged in Europe in the 1880s, largely among middle-class men who had become transfixed by stories of exotic locales and the lure of trave

His intellectual tendencies were unmistakable from an early age. “When he was 3 or 4 years old, he would sit and read the dictionary,” Jane Hacking said. “His parents were completely baffled.”

He wondered aloud, the interviewer noted, if the whole universe was governed by nonlocality — if “everything in the universe is aware of everything else.”“That’s what you should be writing about,” he said. “Not me. I’m a dilettante. My governing word is ‘curiosity.’”