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The faith of those who believed in Progress was based on the assumption that one could discern a purpose to the human enterprise, even without the theological scaffolding that supported the Christian edifice of belief. Science and technology were the chief instruments of Progress, and · i.Lac_cumulation of reliable in orma on a out nature _1b_n, would bring ignorance, superstition, and suffering to an end.

In T ~chnopoly, we are driven to fill our lives with the quesUo "accesTinformation.

But the genie that came out of the bottle proclaiming that information was the new god of culture was a deceiver. It solved the problez:n of information scarcity, the disadvantages o_f wh~s~ious. But it gave no wami g_ahout the dan_gers of information7rttn,

!:ion of what is called a_ curriculum was a logical step toward 1./ organizing, limiting, and discriminating among available sources of information. Schools became technocracy's first secular bureaucracies, structures for legitimizing some parts of the flow of infgrmatiQD and di"s.ci.e.diling other earts. School;;ere, in short, a ~eans of governing the ecology of information.

it is why in _a TechnoE,.oly there can be no transcendent sense of purpose or meaning, no cultural coherence.

There were several reasons for the rapid growth of the common school, but none was more obvious than that it was a necessary response to the anxiefies and confusion aroused by information on the loose. The inven-

The milieu in which T echnopoly flourishes is one in which the tie between information and human purpose has been severed, i.e., inf~rmation appears indiscriminately, directed at no one in particular, in enormous volume and at high speeds; and disconnected from theory, meaning, or purpose.

Abetted ~~orm of ed~~on that in itself has been em _lie~any co~e~ent world-view, Technopoly deprives us of the social, p·olitical, historical, mefaphys1cal, logical, or spiritual bases for knowing what is beyond belief.

There is not a single line written by Jefferson, Adams, Paine, Hamilton, or Franklin that does not take for granted that when information is made available to citizens they are capable of managing it. This is not to say that the Founding Fathers believed information could not be false, misleading, or irrelevant. But they believed that the marketplace of infonpation and ideas was sufficiently ordered so that citizens could make sense of what they read and heard and, through reason, judge ·its μsefulness to their lives. Jefferson's proposals for education, Paine'~ arguments for self-governance, Franklin's arrangements for community affairs assume coherent, commonly shared principles.that allow us to debate such questions as: What are the responsibilities of citizens? What is the nature of education? What constitutes human progress? What are the limitations of social structures?

New forms of public discourse came into being through newspapers, pamphlets, broadsides, and books.

First Amendment to the United States Constitution stands as a monument to the ideolo_g~~ print. It says: "Congress shall make no law respecting the establishment of religion, or prohibiting the free exercise thereof; or abridging freedom of speech or of the press; or of the right of the people peaceably to assemble, and to petition the government for a redress of grievances." In these forty-five words we may find the fundamental values of the literate, reasoning_giind as fostered by the print revolution: a belief in privacy, individuality, intellectual freedom, open criticism, and ~.' adio .

telegraphy created the idea of context-free . 1 informatig_n::= that fs'~the idea that the value of information need ;;~t be ti~ to any function it might serve in social and political

decision-making and action. The telegraph made information into a commodity, a "thing" that could be bought and sold irrespective of its uses or meaning. 2

a new definition qf information came into being. Here was information that rejected the necessit ·of interco~nectedness, proceeded without conte~rgued for instancy against historic continuity, and offere · ascination· in place of corn !exit and cohe ence.

the fourth stage of the information revolution occurred, broadcasting. And then the fifth, computer technology. Each of these brought with it new forms of information, unpre~edented amounts of it, and increased speeds

photography was invented at approximately the same time a~phy, and initiated the Ehi:rd stage of the information revolution. Daniel Boorstin has called it "the graphic revolution," bec~use the photograph and other ico~ogr~phs br~ on a massive intrusion of ima es into the symbolic environment:

~ the beginning of the seventeenth century, an entirely new information environment had been created by_12rint

It is an improbable world. It is a world in which the idea of human progress, as Bacon ex~sed it, has been g~ by the idea of technological progress.

echnopoly is a state of cttlture., It is also a st~te of mind. It consists in the deification of technology, which means that the culture seeks its authorization in te0,~logy, finds · .atisf~tions in technolo , and takes its orders from technolog-¥,

Th_e relationship between information and the mechanisms ( for its control is fairly simple ~ec · ·ology increases the available supply of information. As the supply is increased, \ control mechanisms are strained. Additional control mech\ anisms ~re needed to cope with new information. When addi1 tional control mechanisms are themselves technical, they in tum I further increase the supply of information. When the supply of information is no longer controllable, a general breakdown in psychic tranquillity and social purpose occurs. Without defenses, people have no way of finding meaning in their experiences, lose their capacity to remember, and have difficulty imagining reasonable futures.

any decline in the force of i~~~ti'?n_s makes people vulnerable to information chaos. 1 To say that life is destabilized by weakened institutions is merely to say that information loses its use and therefore becomes a source of confu;~n rather than coherence.

T echnop_oly, then, is to say it is what h~pens to society when the defe~ainst informati;~ glut have broken down.

the school as a mechanism for information control. What its standards are can usually be found in, a curriculum or, with even more clarity, in a course catalogue. A college catalogue lists courses, subjects, and fields of study that, taken together, amount to a certified statement of what a serious student ought to think about.

In the West, the family as an institution for the management of nonbiological information began with the ascendance of print. As books on every conceivable subject become available, parent_~ were forced int°._the roles of guard-· ians'... protectors, nurturers, and arbiters of taste and rectitude. \ Their function was to define what it means to be a child by \ excluding from the family's domain information that would 1. undermine its purpose.

all_ theories are oversimplifications, or at least lead to oversimplification. The rule of law is an oversimplification. A curriculum is an oversimplification. So is a family's conception of a child. T~~t is the funt!ion _o._Ltheories-_ to o~~~~ip:lp}}_fy, and thus to assist believers in_ organiziDg, weighting, _ _an~_ excluding information. Therein lies the power of theories.

The political party is another.

The most imposing institutions for the control of information are religio!1 ~nd the st~J:f, .. They do their work in a somewhat more abstract way than do courts, schools, families, or political parties. The_y m?n~g~__Ji;1formation throug~ creation of mytJ:is and stories that express theories about funq1m1entaf question_s_:_ __ 10:_hy are we here, where have we come from, and where are we headed?

any educational institution, if it is to function well in the mana~~nt of information, must have a theory about its purpose and meaning-'. .!n'!::!Sl. have the means to give clear expression to its_ theory, and must do so, to a large extent, by excluding information.

Those who reject the Bible's theory and who believe, let us say, in the theory of Science are also protected from unwanted information. Their theory, for example, instructs them to disregard information about astrology, dianetics, and creationism, which they usually label as medieval superstition or subjective opinion.

thought-world that functions not only without a transcendent; narrative to provide moral underpinnings but also without strong social institutions to control the flood of information produced by technology.

In the r case of the United States, the great eighteenth-century revolution was not indifferent to commodity capitalism but was nonetheless infused with profound moral content. The U~!ed States was not merely an experiment in a new form of governance; it wai1nefu1fillmenl-oFGocf s plan. True, Adams, Jeffe;son, and Painere1ected-fne supernatural elements in the Bible,· but they never doubted that their experiment had the imprimatur of \ Providence. People were to be free but for a eurp_9se. Their [ God~giv_e~ig[ifs im li~_? obli ations and responsibilities, not L onfytoGod but to other nations, to which the new republic would be a guide and a showcase of what is possible-w~en reason and spirituality commingle.

American Technopoly must rel,y, to an obsessive extent, on technica( ~ethods to control the flow of information. Three such means merit speci attention.

Francis Fukuyama is wrong. There is another ideological conflict to be fought-between "liberal democracy" as conceived in the eighteenth century, with all its transcendent moral underpinnings, and T echnopoly, a twentieth-century

in at- ~ tempting to make the most rational use of information, bureaucracy ignores all information and ideas that do not contribute to efficiency

in principle a bureaucracy is simply a coordinated series of techniques for reducing the amount of information that requires processing.

The transformation of bureaucracy from a set of techniques·> designecfto serve social ~tutions to an auton-;;mous metainstitution that largely serves itself came as a result of several developments in the mid-andlate-nineteenth century: rapid ../ industrial growth, improvements in transportation and commu- ·✓ nication, the extension of government into ever-larger realms of V public and business affairs, the increasing centralization of gov- v ernmental structures.

Along the way, it ceased to be merely a servant of social institutions an

became ~ their master. Bureaucracy now not only solves problems but creates them. More important, it defines what our problems are---and they arec!.lways, in the bureaucra!!c view, problems of l . , efficiency.

Th_~-role of t!;_e ~xpert is to concentrate o_l}_one_ .H~ld of knowledge, sift through all that is available, eliminate that -.--:-: __ __:~---------which has no bearing on a problem, and use what is left !Q. !!§Sist in solving a probl~.

Institutions ca~~aked~cisions on the basis of scores and. sfatistics, and. there certainly may be occasions where there is no reasonable alternative. But unless such decisions are made with profound skepticism-that is, acknowledged as being made for administrative convenience-they are delusionary.

The god they serve does not speak \ of righteousness or goodness or mercy or grace. Their god speaks of efficiency, precision, objectivity. And that is why such concepts as sin and evil disappear in Technopoly. They come from a moral universe that is irrelevant to the theology of expertise. And so the priests of Technopoly call sin "social deviance," which is a statistical concept, and they call evil "psychopathology," which is a medical concept. Sin and evil disappear because they cannot be measured and objectified, and therefore cannot be dealt with by experts.

C is to collect a lot of information. Thirty years ago, the challenge was finding information in a card catalog at the library. Now it's, how do we separate the good stuff from the bad stuff?

A is to analyze both sides. Lawyers have to turn the coin over and exhaust counterarguments or we'll lose in court.

So lawyers are trained to look for the gray areas, to look for the questions are not the answers. And if we kind of orient our thinking that way, I think we're less likely to shut down competing points of view.

My argument in the book is, we can feel good about a decision even if we don't get everything that we want. We have to make compromises.

I tell my students, you'll get through the bar. The key is to look for questions and not answers. If you could answer every legal question with a Wikipedia search, there would be no reason to hire lawyers.

Lawyers are hired because there are arguments on both sides, you know? Every Supreme Court decision that is split 6-3, 5-4, that means there were really strong arguments on both sides.

T is, tolerate the fact that you won't get everything you want every time

So we have to be very careful about the source of what you're getting, OK? Is this source neutral? Is this source really care about facts and not so much about an agenda?

Step 3, the collecting information piece. I think it's a new skill for all of us that we are overloaded with information into our phones. We have algorithms that somebody else developed that tailor the information that comes into our phones based on what the computer thinks we already believe

No. 2 - this is the beauty of social media and the internet - you can pull original sources. We can click on the indictment. Click on the new bill that has been proposed in the United States Congress.

then the book explains ways that you can then sort through that information for yourself. Skills are empowering.

Maybe as a replacement for sort of being empowered by being part of a team - a red team versus a blue team - that's been corrosive, I think, in American politics and American society. But arming ourselves with good facts, that leads to self-determination.

MARTINEZ: Now, you've written two other books - "How To Read The Constitution" and "What You Need To Know About Voting" - along with this one, "How To Think Like A Lawyer - And Why.

It kind of makes me think, Kim, that you feel that Americans might be lacking a basic level of civics education or understanding. So what is lacking when it comes to teaching civics or in civics discourse today?

studies have shown that around a third of Americans can't name the three branches of government. But if we don't understand our government, we don't know how to hold our government accountable

Democracies can't stay open if we've got elected leaders that are caring more about entrenching their own power and misinformation than actually preserving democracy by the people. I think that's No. 1.

No. 2 has to do with a value system. We talk about American values - reward for hard work, integrity, honesty. The same value system should apply to who we hire for government positions. And I think Americans have lost that.

in my own life, I'm very careful about who gets to be part of the inner circle because I have a strong value system. Bring that same sense to bear at the voting booth. Don't vote for red versus blue. Vote for people that live your value system

just like the Ukrainians are fighting for their children's democracy, we need to do that as well. And we do that through informing ourselves with good information, tolerating competing points of view and voting - voting, voting, voting - to hold elected leaders accountable if they cross boundaries that matter to us in our own lives.

Ambiguities are often reconciled with other observed data, such as that we know by other means that the planet is too small to cause the scale of distortion seen.

“The two previous theories of degeneracy deal with cases where the background star appears to pass close to the foreground star or the foreground planet. The AI algorithm showed us hundreds of examples from not only these two cases, but also situations where the star doesn’t pass close to either the star or planet and cannot be explained by either previous theory,” said Zhang in a Berkeley news release.

But without the systematic and confident calculations of the AI, it’s likely the simplified, less correct theory would have persisted for many more years.

As a result — and after some convincing, since a grad student questioning established doctrine is tolerated but perhaps not encouraged — they ended up proposing a new, “unified” theory of how degeneracy in these observations can be explained, of which the two known theories were simply the most common cases.

“People were seeing these microlensing events, which actually were exhibiting this new degeneracy but just didn’t realize it. It was really just the machine learning looking at thousands of events where it became impossible to miss,” said Scott Gaudi

But Zhang seemed convinced that the AI had clocked something that human observers had systematically overlooked.

Just as people learned to trust calculators and later computers, we are learning to trust some AI models to output an interesting truth clear of preconceptions and assumptions — that is, if we haven’t just coded our own preconceptions and assumptions into them.

“But people only realize that they’ve dissociated in hindsight. So once you exit dissociation there’s sometimes this feeling of: How did I get here? It’s like when people on social media realize: ‘Oh my gosh, how did 30 minutes go by? I just meant to check one notification.'”

The problem with social media platforms, the researchers said, is not that people lack the self-control needed to not get sucked in, but instead that the platforms themselves are not designed to maximize what people value.

These platforms need to create an end-of-use experience, so that people can have it fit in their day with their time-management goals.”

Some reports appear to show that at least some of the gunman’s communications used Apple’s encrypted iPhone messaging services, which makes messages almost impossible for anyone else to read when sent to another iPhone user.

Facebook parent company Meta, which also owns Instagram, says it is working with law enforcement but declined to provide details.

A series of posts appeared on his Instagram in the days leading up to the shooting, including photos of a gun magazine in hand and two AR-style semi-automatic rifles. An Instagram user who was tagged in one post shared parts of what appears to be a chilling exchange on Instagram with Ramos, asking her to share his gun pictures with her more than 10,000 followers.

Meta has said it monitors people’s private messages for some kinds of harmful content, such as links to malware or images of child sexual exploitation. But copied images can be detected using unique identifiers — a kind of digital signature — which makes them relatively easy for computer systems to flag. Trying to interpret a string of threatening words — which can resemble a joke, satire or song lyrics — is a far more difficult task for artificial intelligence systems.

Facebook could, for instance, flag certain phrases such as “going to kill” or “going to shoot”, but without context — something AI in general has a lot of trouble with — there would be too many false positives for the company to analyze.

A recent Meta-commissioned report emphasized the benefits of such privacy but also noted some risks — including users who could abuse the encryption to sexually exploit children, facilitate human trafficking and spread hate speech.

Security experts say this could be done if Apple were to engineer a “backdoor” to allow access to messages sent by alleged criminals. Such a secret key would let them decipher encrypted information with a court order.

At the same time, it was not immediately clear how some of the other groundbreaking work, like language models that better understand natural conversation or that can break down a task into logical smaller steps, will ultimately lead to the next generation of computing that Google has touted.

Much of those capabilities are powered by the deep technological work Google has done for years using so-called machine learning, image recognition and natural language understanding. It’s a sign of an evolution rather than revolution for Google and other large tech giants.

“There is so much technology out there that employers are experimenting with or investing in,” said Edgar Ndjatou

Software can watch for suspicious computer behavior or it can dig into an employee’s credit reports, arrest records and marital-status updates. It can check to see if Cheryl is downloading bulk cloud data or run a sentiment analysis on Tom’s emails to see if he’s getting testier over time. Analysis of this data, say the companies that monitor insider risk, can point to potential problems in the workplace.

Organizations that produce monitoring software and behavioral analysis for the feds also may offer conceptually similar tools to private companies, either independently or packaged with broader cybersecurity tools.

But corporations are moving forward with their own software-enhanced surveillance. While private-sector workers may not be subjected to the rigors of a 136-page clearance form, private companies help build these “continuous vetting” technologies for the federal government, said Lindy Kyzer of ClearanceJobs. Then, she adds, “Any solution would have private-sector applications.”

“Can we build a system that checks on somebody and keeps checking on them and is aware of that person’s disposition as they exist in the legal systems and the public record systems on a continuous basis?” said Chris Grijalva

But the interest in anticipating insider threats in the private sector raises ethical questions about what level of monitoring nongovernmental employees should be subject to.

“People are starting to understand that the insider threat is a business problem and should be handled accordingly,” said Mr. Grijalva.

The linguistic software package they developed, called SCOUT, uses psycholinguistic analysis to seek flags that, among other things, indicate feelings of disgruntlement, like victimization, anger and blame.

“The language changes in subtle ways that you’re not aware of,” Mr. Stroz said.

There’s not enough information, in other words, to construct algorithms about trustworthiness from the ground up. And that would hold in either the private or the public sector.

Even if all that dystopian data did exist, it would still be tricky to draw individual — rather than simply aggregate — conclusions about which behavioral indicators potentially presaged ill actions.

“Depending too heavily on personal factors identified using software solutions is a mistake, as we are unable to determine how much they influence future likelihood of engaging in malicious behaviors,” Dr. Cunningham said.

“I have focused very heavily on identifying indicators that you can actually measure, versus those that require a lot of interpretation,” Dr. Cunningham said. “Especially those indicators that require interpretation by expert psychologists or expert so-and-sos. Because I find that it’s a little bit too dangerous, and I don’t know that it’s always ethical.”

Yes, he knew they had other classes, jobs and extracurriculars; they could make arrangements to do that work silently and without a computer.

The class eased into the vow of silence, first restricting speech to 100 words a day. Other rules began on Day 1: no jewelry or makeup in class. Men and women sat separately and wore different “habits”: white shirts for the men, women in black. (Nonbinary and transgender students sat with the gender of their choice.)

Dr. McDaniel discouraged them from sharing personal information; they should get to know one another only through ideas. “He gave us new names, based on our birth time and day, using a Thai birth chart,”

“We were practicing living a monastic life. We had to wake up at 5 a.m. and journal every 30 minutes.”

If you tried to cruise to a C, you missed the point: “I realized the only way for me to get the most out of this class was to experience it all,” she said. (She got Dr. McDaniel’s permission to break her vow of silence in order to talk to patients during her clinical rotation.)

Dr. McDaniel also teaches a course called Existential Despair. Students meet once a week from 5 p.m. to midnight in a building with comfy couches, turn over their phones and curl up to read an assigned novel (cover to cover) in one sitting — books like James Baldwin’s “Giovanni’s Room” and José Saramago’s “Blindness.” Then they stay up late discussing it.

The course is not about hope, overcoming things, heroic stories,” Dr. McDaniel said. Many of the books “start sad. In the middle they’re sad. They stay sad. I’m not concerned with their 20-year-old self. I’m worried about them at my age, dealing with breast cancer, their dad dying, their child being an addict, a career that never worked out — so when they’re dealing with the bigger things in life, they know they’re not alone.”

Both courses have long wait lists. Students are hungry for a low-tech, introspective experience —

Research suggests that underprivileged young people have far fewer opportunities to think for unbroken stretches of time, so they may need even more space in college to develop what social scientists call cognitive endurance.

Yet the most visible higher ed trends are moving in the other direction

Rather than ban phones and laptops from class, some professors are brainstorming ways to embrace students’ tech addictions with class Facebook and Instagram accounts, audience response apps — and perhaps even including the friends and relatives whom students text during class as virtual participants in class discussion.

Then there’s that other unwelcome classroom visitor: artificial intelligence.

stop worrying and love the bot by designing assignments that “help students develop their prompting skills” or “use ChatGPT to generate a first draft,” according to a tip sheet produced by the Center for Teaching and Learning at Washington University in St. Louis.

It’s not at all clear that we want a future dominated by A.I.’s amoral, Cheez Whiz version of human thought

It is abundantly clear that texting, tagging and chatbotting are making students miserable right now.

One recent national survey found that 60 percent of American college students reported the symptoms of at least one mental health problem and that 15 percent said they were considering suicide

A recent meta-analysis of 36 studies of college students’ mental health found a significant correlation between longer screen time and higher risk of anxiety and depression

And while social media can sometimes help suffering students connect with peers, research on teenagers and college students suggests that overall, the support of a virtual community cannot compensate for the vortex of gossip, bullying and Instagram posturing that is bound to rot any normal person’s self-esteem.

We need an intervention: maybe not a vow of silence but a bold move to put the screens, the pinging notifications and creepy humanoid A.I. chatbots in their proper place

it does mean selectively returning to the university’s roots in the monastic schools of medieval Europe and rekindling the old-fashioned quest for meaning.

Colleges should offer a radically low-tech first-year program for students who want to apply: a secular monastery within the modern university, with a curated set of courses that ban glowing rectangles of any kind from the classroom

Students could opt to live in dorms that restrict technology, too

I prophesy that universities that do this will be surprised by how much demand there is. I frequently talk to students who resent the distracting laptops all around them during class. They feel the tug of the “imaginary string attaching me to my phone, where I have to constantly check it,”

Many, if not most, students want the elusive experience of uninterrupted thought, the kind where a hash of half-baked notions slowly becomes an idea about the world.

Even if your goal is effective use of the latest chatbot, it behooves you to read books in hard copies and read enough of them to learn what an elegant paragraph sounds like. How else will students recognize when ChatGPT churns out decent prose instead of bureaucratic drivel?

Most important, students need head space to think about their ultimate values.

His course offers a chance to temporarily exchange those unconscious structures for a set of deliberate, countercultural ones.

here are the student learning outcomes universities should focus on: cognitive endurance and existential clarity.

Contemplation and marathon reading are not ends in themselves or mere vacations from real life but are among the best ways to figure out your own answer to the question of what a human being is for

When students finish, they can move right into their area of specialization and wire up their skulls with all the technology they want, armed with the habits and perspective to do so responsibly

it’s worth learning from the radicals. Dr. McDaniel, the religious studies professor at Penn, has a long history with different monastic traditions. He grew up in Philadelphia, educated by Hungarian Catholic monks. After college, he volunteered in Thailand and Laos and lived as a Buddhist monk.

e found that no amount of academic reading could help undergraduates truly understand why “people voluntarily take on celibacy, give up drinking and put themselves under authorities they don’t need to,” he told me. So for 20 years, he has helped students try it out — and question some of their assumptions about what it means to find themselves.

“On college campuses, these students think they’re all being individuals, going out and being wild,” he said. “But they’re in a playpen. I tell them, ‘You know you’ll be protected by campus police and lawyers. You have this entire apparatus set up for you. You think you’re being an individual, but look at your four friends: They all look exactly like you and sound like you. We exist in these very strict structures we like to pretend don’t exist.’”

Colleges could do all this in classes integrated with general education requirements: ideally, a sequence of great books seminars focused on classic texts from across different civilizations.

“For the last 1,500 years, Benedictines have had to deal with technology,” Placid Solari, the abbot there, told me. “For us, the question is: How do you use the tool so it supports and enhances your purpose or mission and you don’t get owned by it?”

for novices at his monastery, “part of the formation is discipline to learn how to control technology use.” After this initial time of limited phone and TV “to wean them away from overdependence on technology and its stimulation,” they get more access and mostly make their own choices.

Evan Lutz graduated this May from Belmont Abbey with a major in theology. He stressed the special Catholic context of Belmont’s resident monks; if you experiment with monastic practices without investigating the whole worldview, it can become a shallow kind of mindfulness tourism.

The monks at Belmont Abbey do more than model contemplation and focus. Their presence compels even non-Christians on campus to think seriously about vocation and the meaning of life. “Either what the monks are doing is valuable and based on something true, or it’s completely ridiculous,” Mr. Lutz said. “In both cases, there’s something striking there, and it asks people a question.”

Pondering ultimate questions and cultivating cognitive endurance should not be luxury goods.

David Peña-Guzmán, who teaches philosophy at San Francisco State University, read about Dr. McDaniel’s Existential Despair course and decided he wanted to create a similar one. He called it the Reading Experiment. A small group of humanities majors gathered once every two weeks for five and a half hours in a seminar room equipped with couches and a big round table. They read authors ranging from Jean-Paul Sartre to Frantz Fanon

“At the beginning of every class I’d ask students to turn off their phones and put them in ‘the Basket of Despair,’ which was a plastic bag,” he told me. “I had an extended chat with them about accessibility. The point is not to take away the phone for its own sake but to take away our primary sources of distraction. Students could keep the phone if they needed it. But all of them chose to part with their phones.”

Dr. Peña-Guzmán’s students are mostly working-class, first-generation college students. He encouraged them to be honest about their anxieties by sharing his own: “I said, ‘I’m a very slow reader, and it’s likely some or most of you will get further in the text than me because I’m E.S.L. and read quite slowly in English.’

For his students, the struggle to read long texts is “tied up with the assumption that reading can happen while multitasking and constantly interacting with technologies that are making demands on their attention, even at the level of a second,”

“These draw you out of the flow of reading. You get back to the reading, but you have to restart the sentence or even the paragraph. Often, because of these technological interventions into the reading experience, students almost experience reading backward — as constant regress, without any sense of progress. The more time they spend, the less progress they make.”

Dr. Peña-Guzmán dismissed the idea that a course like his is suitable only for students who don’t have to worry about holding down jobs or paying off student debt. “I’m worried by this assumption that certain experiences that are important for the development of personality, for a certain kind of humanistic and spiritual growth, should be reserved for the elite, especially when we know those experiences are also sources of cultural capital,

Courses like the Reading Experiment are practical, too, he added. “I can’t imagine a field that wouldn’t require some version of the skill of focused attention.”

The point is not to reject new technology but to help students retain the upper hand in their relationship with i

Ms. Rodriguez said that before she took Living Deliberately and Existential Despair, she didn’t distinguish technology from education. “I didn’t think education ever went without technology. I think that’s really weird now. You don’t need to adapt every piece of technology to be able to learn better or more,” she said. “It can form this dependency.”

The point of college is to help students become independent humans who can choose the gods they serve and the rules they follow rather than allow someone else to choose for them

The first step is dethroning the small silicon idol in their pocket — and making space for the uncomfortable silence and questions that follow

“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.

Some are motivated by potential business revenue, others by national security concerns.

Sometimes, they trade letters, opinion essays or social threads outlining their positions and attacking others’ in public view. More often, they tout their viewpoints without acknowledging alternatives, leaving the impression that their enlightened perspective is the inevitable lens through which to view A.I.

you’ll realize this isn’t really a debate only about A.I. It’s also a contest about control and power, about how resources should be distributed and who should be held accountable.

It is critical that we begin to recognize the ideologies driving what we are being told. Resolving the fracas requires us to see through the specter of A.I. to stay true to the humanity of our values.

Because language itself is part of their battleground, the different A.I. camps tend not to use the same words to describe their positions

One faction describes the dangers posed by A.I. through the framework of safety, another through ethics or integrity, yet another through security and others through economics.

The Doomsayers

These are the A.I. safety people, and their ranks include the “Godfathers of A.I.,” Geoff Hinton and Yoshua Bengio. For many years, these leading lights battled critics who doubted that a computer could ever mimic capabilities of the human mind

Many doomsayers say they are acting rationally, but their hype about hypothetical existential risks amounts to making a misguided bet with our future

Reasonable sounding on their face, these ideas can become dangerous if stretched to their logical extremes. A dogmatic long-termer would willingly sacrifice the well-being of people today to stave off a prophesied extinction event like A.I. enslavement.

The technology historian David C. Brock calls these fears “wishful worries” — that is, “problems that it would be nice to have, in contrast to the actual agonies of the present.”

OpenAI’s Sam Altman and Meta’s Mark Zuckerberg, both of whom lead dominant A.I. companies, are pushing for A.I. regulations that they say will protect us from criminals and terrorists. Such regulations would be expensive to comply with and are likely to preserve the market position of leading A.I. companies while restricting competition from start-ups

the roboticist Rodney Brooks has pointed out that we will see the existential risks coming, the dangers will not be sudden and we will have time to change course.

While we shouldn’t dismiss the Hollywood nightmare scenarios out of hand, we must balance them with the potential benefits of A.I. and, most important, not allow them to strategically distract from more immediate concerns.

The Reformers

While the doomsayer faction focuses on the far-off future, its most prominent opponents are focused on the here and now. We agree with this group that there’s plenty already happening to cause concern: Racist policing and legal systems that disproportionately arrest and punish people of color. Sexist labor systems that rate feminine-coded résumés lower

Superpower nations automating military interventions as tools of imperialism and, someday, killer robots.

Propagators of these A.I. ethics concerns — like Meredith Broussard, Safiya Umoja Noble, Rumman Chowdhury and Cathy O’Neil — have been raising the alarm on inequities coded into A.I. for years. Although we don’t have a census, it’s noticeable that many leaders in this cohort are people of color, women and people who identify as L.G.B.T.Q.

Others frame efforts to reform A.I. in terms of integrity, calling for Big Tech to adhere to an oath to consider the benefit of the broader public alongside — or even above — their self-interest. They point to social media companies’ failure to control hate speech or how online misinformation can undermine democratic elections. Adding urgency for this group is that the very companies driving the A.I. revolution have, at times, been eliminating safeguards

reformers tend to push back hard against the doomsayers’ focus on the distant future. They want to wrestle the attention of regulators and advocates back toward present-day harms that are exacerbated by A.I. misinformation, surveillance and inequity.

Integrity experts call for the development of responsible A.I., for civic education to ensure A.I. literacy and for keeping humans front and center in A.I. systems.

Surely, we are a civilization big enough to tackle more than one problem at a time; even those worried that A.I. might kill us in the future should still demand that it not profile and exploit us in the present.

Other groups of prognosticators cast the rise of A.I. through the language of competitiveness and national security.

Some arguing from this perspective are acting on genuine national security concerns, and others have a simple motivation: money. These perspectives serve the interests of American tech tycoons as well as the government agencies and defense contractors they are intertwined with.

they appear deeply invested in the idea that there is no limit to what their creations will be able to accomplish.

U.S. megacompanies pleaded to exempt their general purpose A.I. from the tightest regulations, and whether and how to apply high-risk compliance expectations on noncorporate open-source models emerged as a key point of debate. All the while, some of the moguls investing in upstart companies are fighting the regulatory tide. The Inflection AI co-founder Reid Hoffman argued, “The answer to our challenges is not to slow down technology but to accelerate it.”

The warriors’ narrative seems to misrepresent that science and engineering are different from what they were during the mid-20th century. A.I. research is fundamentally international; no one country will win a monopoly.

As the science-fiction author Ted Chiang has said, fears about the existential risks of A.I. are really fears about the threat of uncontrolled capitalism

Regulatory solutions do not need to reinvent the wheel. Instead, we need to double down on the rules that we know limit corporate power. We need to get more serious about establishing good and effective governance on all the issues we lost track of while we were becoming obsessed with A.I., China and the fights picked among robber barons.

By analogy to the health care sector, we need an A.I. public option to truly keep A.I. companies in check. A publicly directed A.I. development project would serve to counterbalance for-profit corporate A.I. and help ensure an even playing field for access to the 21st century’s key technology while offering a platform for the ethical development and use of A.I.

Also, we should embrace the humanity behind A.I. We can hold founders and corporations accountable by mandating greater A.I. transparency in the development stage, in addition to applying legal standards for actions associated with A.I. Remarkably, this is something that both the left and the right can agree on.

The AI boosters emphasized the incredible potential of their innovation, and Netanyahu raised practical objections to their enthusiasm. They cited futurists such as Ray Kurzweil to paint a bright picture of a post-AI world; Netanyahu cited the Bible and the medieval Jewish philosopher Maimonides to caution against upending human institutions and subordinating our existence to machines.

Musk matter-of-factly explained that the “very positive scenario of AI” is “actually in a lot of ways a description of heaven,” where “you can have whatever you want, you don’t need to work, you have no obligations, any illness you have can be cured,” and death is “a choice.” Netanyahu incredulously retorted, “You want this world?”

By the time the panel began to wind down, the Israeli leader had seemingly made up his mind. “This is like having nuclear technology in the Stone Age,” he said. “The pace of development [is] outpacing what solutions we need to put in place to maximize the benefits and limit the risks.”

“You have these trillion-dollar [AI] companies that are produced overnight, and they concentrate enormous wealth and power with a smaller and smaller number of people,” the Israeli leader said, noting that even a free-market evangelist like himself was unsettled by such monopolization. “That will create a bigger and bigger distance between the haves and the have-nots, and that’s another thing that causes tremendous instability in our world. And I don’t know if you have an idea of how you overcome that?”

This was less because he is a prophet and more because he is a pessimist. When it comes to grandiose predictions about a better tomorrow—whether through peace with the Palestinians, a nuclear deal with Iran, or the advent of artificial intelligence—Netanyahu always bets against. Informed by a dark reading of Jewish history, he is a cynic about human nature and a skeptic of human progress.

fter all, no matter how far civilization has advanced, it has always found ways to persecute the powerless, most notably, in his mind, the Jews. For Netanyahu, the arc of history is long, and it bends toward whoever is bending it.

This is why the Israeli leader puts little stock in utopian promises, whether they are made by progressive internationalists or Silicon Valley futurists, and places his trust in hard power instead

“The weak crumble, are slaughtered and are erased from history while the strong, for good or for ill, survive. The strong are respected, and alliances are made with the strong, and in the end peace is made with the strong.”

To his many critics, myself included, Netanyahu’s refusal to envision a different future makes him a “creature of the bunker,” perpetually governed by fear. Although his pessimism may sometimes be vindicated, it also holds his country hostag

In other words, the same cynicism that drives Netanyahu’s reactionary politics is the thing that makes him an astute interrogator of AI and its promoters. Just as he doesn’t trust others not to use their power to endanger Jews, he doesn’t trust AI companies or AI itself to police its rapidly growing capabilities.

a “web 2.0” revolution in “user-generated content,” offering easy-to-use, easily adopted tools on websites and then mobile apps. They were built for creating and sharing “content,”

As the original name suggested, social networking involved connecting, not publishing. By connecting your personal network of trusted contacts (or “strong ties,” as sociologists call them) to others’ such networks (via “weak ties”), you could surface a larger network of trusted contacts

The whole idea of social networks was networking: building or deepening relationships, mostly with people you knew. How and why that deepening happened was largely left to the users to decide.

That changed when social networking became social media around 2009, between the introduction of the smartphone and the launch of Instagram. Instead of connection—forging latent ties to people and organizations we would mostly ignore—social media offered platforms through which people could publish content as widely as possible, well beyond their networks of immediate contacts.

Social media turned you, me, and everyone into broadcasters (if aspirational ones). The results have been disastrous but also highly pleasurable, not to mention massively profitable—a catastrophic combination.

A social network is an idle, inactive system—a Rolodex of contacts, a notebook of sales targets, a yearbook of possible soul mates. But social media is active—hyperactive, really—spewing material across those networks instead of leaving them alone until needed.

The authors propose social media as a system in which users participate in “information exchange.” The network, which had previously been used to establish and maintain relationships, becomes reinterpreted as a channel through which to broadcast.

The toxicity of social media makes it easy to forget how truly magical this innovation felt when it was new. From 2004 to 2009, you could join Facebook and everyone you’d ever known—including people you’d definitely lost track of—was right there, ready to connect or reconnect. The posts and photos I saw characterized my friends’ changing lives, not the conspiracy theories that their unhinged friends had shared with them

Twitter, which launched in 2006, was probably the first true social-media site, even if nobody called it that at the time. Instead of focusing on connecting people, the site amounted to a giant, asynchronous chat room for the world. Twitter was for talking to everyone—which is perhaps one of the reasons journalists have flocked to it

on Twitter, anything anybody posted could be seen instantly by anyone else. And furthermore, unlike posts on blogs or images on Flickr or videos on YouTube, tweets were short and low-effort, making it easy to post many of them a week or even a day.

When we look back at this moment, social media had already arrived in spirit if not by name. RSS readers offered a feed of blog posts to catch up on, complete with unread counts. MySpace fused music and chatter; YouTube did it with video (“Broadcast Yourself”)

soon enough, all social networks became social media first and foremost. When groups, pages, and the News Feed launched, Facebook began encouraging users to share content published by others in order to increase engagement on the service, rather than to provide updates to friends. LinkedIn launched a program to publish content across the platform, too. Twitter, already principally a publishing platform, added a dedicated “retweet” feature, making it far easier to spread content virally across user networks.

From being asked to review every product you buy to believing that every tweet or Instagram image warrants likes or comments or follows, social media produced a positively unhinged, sociopathic rendition of human sociality.

Other services arrived or evolved in this vein, among them Reddit, Snapchat, and WhatsApp, all far more popular than Twitter. Social networks, once latent routes for possible contact, became superhighways of constant content

Although you can connect the app to your contacts and follow specific users, on TikTok, you are more likely to simply plug into a continuous flow of video content that has oozed to the surface via algorithm.

In the social-networking era, the connections were essential, driving both content creation and consumption. But the social-media era seeks the thinnest, most soluble connections possible, just enough to allow the content to flow.

Facebook and all the rest enjoyed a massive rise in engagement and the associated data-driven advertising profits that the attention-driven content economy created. The same phenomenon also created the influencer economy, in which individual social-media users became valuable as channels for distributing marketing messages or product sponsorships by means of their posts’ real or imagined reach

“influencer” became an aspirational role, especially for young people for whom Instagram fame seemed more achievable than traditional celebrity—or perhaps employment of any kind.

social-media operators discovered that the more emotionally charged the content, the better it spread across its users’ networks. Polarizing, offensive, or just plain fraudulent information was optimized for distribution. By the time the platforms realized and the public revolted, it was too late to turn off these feedback loops.

The ensuing disaster was multipar

Rounding up friends or business contacts into a pen in your online profile for possible future use was never a healthy way to understand social relationships.

when social networking evolved into social media, user expectations escalated. Driven by venture capitalists’ expectations and then Wall Street’s demands, the tech companies—Google and Facebook and all the rest—became addicted to massive scale

Social media showed that everyone has the potential to reach a massive audience at low cost and high gain—and that potential gave many people the impression that they deserve such an audience.

On social media, everyone believes that anyone to whom they have access owes them an audience: a writer who posted a take, a celebrity who announced a project, a pretty girl just trying to live her life, that anon who said something afflictive

When network connections become activated for any reason or no reason, then every connection seems worthy of traversing.

people just aren’t meant to talk to one another this much. They shouldn’t have that much to say, they shouldn’t expect to receive such a large audience for that expression, and they shouldn’t suppose a right to comment or rejoinder for every thought or notion either.

This is also why journalists became so dependent on Twitter: It’s a constant stream of sources, events, and reactions—a reporting automat, not to mention an outbound vector for media tastemakers to make tastes.

That’s no surprise, I guess, given that the model was forged in the fires of Big Tech companies such as Facebook, where sociopathy is a design philosophy.

If change is possible, carrying it out will be difficult, because we have adapted our lives to conform to social media’s pleasures and torments. It’s seemingly as hard to give up on social media as it was to give up smoking en masse

Quitting that habit took decades of regulatory intervention, public-relations campaigning, social shaming, and aesthetic shifts. At a cultural level, we didn’t stop smoking just because the habit was unpleasant or uncool or even because it might kill us. We did so slowly and over time, by forcing social life to suffocate the practice. That process must now begin in earnest for social media.

Something may yet survive the fire that would burn it down: social networks, the services’ overlooked, molten core. It was never a terrible idea, at least, to use computers to connect to one another on occasion, for justified reasons, and in moderation

The problem came from doing so all the time, as a lifestyle, an aspiration, an obsession. The offer was always too good to be true, but it’s taken us two decades to realize the Faustian nature of the bargain.

when I first wrote about downscale, the ambition seemed necessary but impossible. It still feels unlikely—but perhaps newly plausible.

To win the soul of social life, we must learn to muzzle it again, across the globe, among billions of people. To speak less, to fewer people and less often–and for them to do the same to you, and everyone else as well

We cannot make social media good, because it is fundamentally bad, deep in its very structure. All we can do is hope that it withers away, and play our small part in helping abandon it.

By contrast, crystallised intelligence is based on experience and the accumulation of knowledge. Fluid intelligence peaks at the age of about 20 then gradually declines, whereas crystallised intelligence grows through your life until you hit your mid-sixties, when you start forgetting things.

that explains much about University Challenge’s appeal. Because the contestants are mostly aged around 20 and very clever, their fluid intelligence is off the scale

On the other hand, because they have had only 20 years to acquire crystallised intelligence, their store of general knowledge is likely to be lacking in some areas.

In each episode there will be questions that older viewers can answer, thanks to their greater store of crystallised intelligence, but the students cannot. Therefore we viewers don’t feel inferior when confronted by these smart young people. On the contrary: we feel, in some areas, slightly superior.

The first comprises the deconstructionists and decolonialists

It’s a brilliantly balanced format

They argue that all knowledge is contextual and that things taken for granted in the past — for instance, a canon of great authors that everyone should read at school — merely reflect an outdated, usually Eurocentric view of what’s intellectually important.

there is a real threat to the future of University Challenge and much else of value in our society, and it is this. The very concept of “general knowledge” — of a widely accepted core of information that educated, inquisitive people should have in their memory banks — is under attack from two different groups.

The other group is the technocrats who argue that the extent of human knowledge is now so vast that it’s impossible for any individual to know more than, perhaps, one billionth of it

So why not leave it entirely to computers to do the heavy lifting of knowledge storing and recall, thus freeing our minds for creativity and problem solving?

The problem with the agitators on both sides of today’s culture wars is that they are forcefully trying to shape what’s accepted as general knowledge according to a blatant political agenda.

And the problem with relying on, say, Wikipedia’s 6.5 million English-language articles to store general knowledge for all of us? It’s the tacit implication that “mere facts” are too tedious to be clogging up our brains. From there it’s a short step to saying that facts don’t matter at all, that everything should be decided by “feelings”. And from there it’s an even shorter step to fake news and pernicious conspiracy theories, the belittling of experts and hard evidence, the closing of minds, the thickening of prejudice and the trivialisation of the national conversation.

In 1972, using duct tape and spare parts in the basement on the campus of the University of California, Berkeley, Dr. Clauser and a graduate student, Stuart Freedman, who died in 2012, endeavored to perform Bell’s experiment to measure quantum entanglement. In a series of experiments, he fired thousands of light particles, or photons, in opposite directions to measure a property known as polarization, which could have only two values — up or down. The result for each detector was always a series of seemingly random ups and downs. But when the two detectors’ results were compared, the ups and downs matched in ways that neither “classical physics” nor Einstein’s laws could explain. Something weird was afoot in the universe. Entanglement seemed to be real.

in 2002, Dr. Clauser admitted that he himself had expected quantum mechanics to be wrong and Einstein to be right. “Obviously, we got the ‘wrong’ result. I had no choice but to report what we saw, you know, ‘Here’s the result.’ But it contradicts what I believed in my gut has to be true.” He added, “I hoped we would overthrow quantum mechanics. Everyone else thought, ‘John, you’re totally nuts.’”

the correlations only showed up after the measurements of the individual particles, when the physicists compared their results after the fact. Entanglement seemed real, but it could not be used to communicate information faster than the speed of light.

In 1982, Dr. Aspect and his team at the University of Paris tried to outfox Dr. Clauser’s loophole by switching the direction along which the photons’ polarizations were measured every 10 nanoseconds, while the photons were already in the air and too fast for them to communicate with each other. He too, was expecting Einstein to be right.

Quantum predictions held true, but there were still more possible loopholes in the Bell experiment that Dr. Clauser had identified

For example, the polarization directions in Dr. Aspect’s experiment had been changed in a regular and thus theoretically predictable fashion that could be sensed by the photons or detectors.

Anton Zeilinger

added even more randomness to the Bell experiment, using random number generators to change the direction of the polarization measurements while the entangled particles were in flight.

Once again, quantum mechanics beat Einstein by an overwhelming margin, closing the “locality” loophole.

as scientists have done more experiments with entangled particles, entanglement is accepted as one of main features of quantum mechanics and is being put to work in cryptology, quantum computing and an upcoming “quantum internet

One of its first successes in cryptology is messages sent using entangled pairs, which can send cryptographic keys in a secure manner — any eavesdropping will destroy the entanglement, alerting the receiver that something is wrong.

, with quantum mechanics, just because we can use it, doesn’t mean our ape brains understand it. The pioneering quantum physicist Niels Bohr once said that anyone who didn’t think quantum mechanics was outrageous hadn’t understood what was being said.

In his interview with A.I.P., Dr. Clauser said, “I confess even to this day that I still don’t understand quantum mechanics, and I’m not even sure I really know how to use it all that well. And a lot of this has to do with the fact that I still don’t understand it.”

economist J. Bradford DeLong ’82, Ph.D. ’87, looking back on the twentieth century two decades after its end, comes to a similar conclusion but on different grounds.

DeLong, professor of economics at Berkeley, looks to matters of “contingency” and “choice”: at key junctures the economy suffered “bad luck,” and the actions taken by the responsible policymakers were “incompetent.”

these were “the most consequential years of all humanity’s centuries.” The changes they saw, while in the first instance economic, also “shaped and transformed nearly everything sociological, political, and cultural.”

DeLong’s look back over the twentieth century energetically encompasses political and social trends as well; nor is his scope limited to the United States. The result is a work of strikingly expansive breadth and scope

labeling the book an economic history fails to convey its sweeping frame.

The century that is DeLong’s focus is what he calls the “long twentieth century,” running from just after the Civil War to the end of the 2000s when a series of events, including the biggest financial crisis since the 1930s followed by likewise the most severe business downturn, finally rendered the advanced Western economies “unable to resume economic growth at anything near the average pace that had been the rule since 1870.

d behind those missteps in policy stood not just failures of economic thinking but a voting public that reacted perversely, even if understandably, to the frustrations poor economic outcomes had brought them.

Within this 140-year span, DeLong identifies two eras of “El Dorado” economic growth, each facilitated by expanding globalization, and each driven by rapid advances in technology and changes in business organization for applying technology to economic ends

from 1870 to World War I, and again from World War II to 197

fellow economist Robert J. Gordon ’62, who in his monumental treatise on The Rise and Fall of American Economic Growth (reviewed in “How America Grew,” May-June 2016, page 68) hailed 1870-1970 as a “special century” in this regard (interrupted midway by the disaster of the 1930s).

Gordon highlighted the role of a cluster of once-for-all-time technological advances—the steam engine, railroads, electrification, the internal combustion engine, radio and television, powered flight

Pessimistic that future technological advances (most obviously, the computer and electronics revolutions) will generate productivity gains to match those of the special century, Gordon therefore saw little prospect of a return to the rapid growth of those halcyon days.

DeLong instead points to a series of noneconomic (and non-technological) events that slowed growth, followed by a perverse turn in economic policy triggered in part by public frustration: In 1973 the OPEC cartel tripled the price of oil, and then quadrupled it yet again six years later.

For all too many Americans (and citizens of other countries too), the combination of high inflation and sluggish growth meant that “social democracy was no longer delivering the rapid progress toward utopia that it had delivered in the first post-World War II generation.”

Frustration over these and other ills in turn spawned what DeLong calls the “neoliberal turn” in public attitudes and economic policy. The new economic policies introduced under this rubric “did not end the slowdown in productivity growth but reinforced it.

the tax and regulatory changes enacted in this new climate channeled most of what economic gains there were to people already at the top of the income scale

Meanwhile, progressive “inclusion” of women and African Americans in the economy (and in American society more broadly) meant that middle- and lower-income white men saw even smaller gains—and, perversely, reacted by providing still greater support for policies like tax cuts for those with far higher incomes than their own.

Daniel Bell’s argument in his 1976 classic The Cultural Contradictions of Capitalism. Bell famously suggested that the very success of a capitalist economy would eventually undermine a society’s commitment to the values and institutions that made capitalism possible in the first plac

In DeLong’s view, the “greatest cause” of the neoliberal turn was “the extraordinary pace of rising prosperity during the Thirty Glorious Years, which raised the bar that a political-economic order had to surpass in order to generate broad acceptance.” At the same time, “the fading memory of the Great Depression led to the fading of the belief, or rather recognition, by the middle class that they, as well as the working class, needed social insurance.”

what the economy delivered to “hard-working white men” no longer matched what they saw as their just deserts: in their eyes, “the rich got richer, the unworthy and minority poor got handouts.”

As Bell would have put it, the politics of entitlement, bred by years of economic success that so many people had come to take for granted, squeezed out the politics of opportunity and ambition, giving rise to the politics of resentment.

The new era therefore became “a time to question the bourgeois virtues of hard, regular work and thrift in pursuit of material abundance.”

DeLong’s unspoken agenda would surely include rolling back many of the changes made in the U.S. tax code over the past half-century, as well as reinvigorating antitrust policy to blunt the dominance, and therefore outsize profits, of the mega-firms that now tower over key sectors of the economy

He would also surely reverse the recent trend moving away from free trade. Central bankers should certainly behave like Paul Volcker (appointed by President Carter), whose decisive action finally broke the 1970s inflation even at considerable economic cost

Not only Galbraith’s main themes but many of his more specific observations as well seem as pertinent, and important, today as they did then.

What will future readers of Slouching Towards Utopia conclude?

If anything, DeLong’s narratives will become more valuable as those events fade into the past. Alas, his description of fascism as having at its center “a contempt for limits, especially those implied by reason-based arguments; a belief that reality could be altered by the will; and an exaltation of the violent assertion of that will as the ultimate argument” will likely strike a nerve with many Americans not just today but in years to come.

what about DeLong’s core explanation of what went wrong in the latter third of his, and our, “long century”? I predict that it too will still look right, and important.

Using tech devices is addictive, and it's becoming more and more difficult to disengage with their technology.In fact, the average US adult spends more than 11 hours daily in the digital world

These days, we have a world of information at our fingertips via the internet. While this is useful, it does have some drawbacks. Entrepreneur Beth Haggerty said she finds that it "limits pure creative thought, at times, because we are developing habits to Google everything to quickly find an answer."

Technology can have a negative impact on relationships, particularly when it affects how we communicate.One of the primary issues is that misunderstandings are much more likely to occur when communicating via text or email

Another social skill that technology is helping to erode is young people's ability to read body language and nuance in face-to-face encounters.

young adults who use seven to 11 social media platforms had more than three times the risk of depression and anxiety than those who use two or fewer platforms.

Can you imagine doing your job without the help of technology of any kind? What about communicating? Or traveling? Or entertaining yourself?

Smartphone slouch. Desk slump. Text neck. Whatever you call it, the way we hold ourselves when we use devices like phones, computers, and tablets isn't healthy.