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The attorney representing 10 of the families who lost relatives in the Sandy Hook massacre told me that he welcomed YouTube's Wednesday action, but said it was "too late to undo the harm" that has been caused to his clients from conspiracy theories circulating on the platform over the past several years. "Sandy Hook happened now nearly seven years ago, and so during that entire time the clients were subject to hostile postings on YouTube that disseminated this false narrative and caused undue harassment, threats, and fallacies as they were trying to heal," said the attorney, Josh Koskoff. "At the same time, better late than never."

Moving forward, it will be interesting to see if other social media company adopts guidelines similar to the ones YouTube announced on Wednesday regarding content that denies well-documented violent events like Sandy Hook. "All social media platforms who have not taken this step, should look in the mirror and decide whether they want to continue to facilitate harassment and hate in this day and age where that has serious consequences," Koskoff told me. And Pozner echoed that, saying that he hoped "Twitter and other hosting platforms will follow suit in implementing and enforcing more socially responsible policies."

“If you ask me, economics has never been better,” says Josh Angrist, an MIT economist who led the study. “It’s never been more useful. It’s never been more scientific and more evidence-based.”

The study also details the relationship between economics and four additional social science disciplines: anthropology, political science, psychology, and sociology. Among these, political science has overtaken sociology as the discipline most engaged with economics. Psychology papers now cite economics research about as often as they cite works of sociology. The new intellectual connectivity between economics and psychology appears to be a product of the growth of behavioral economics, which examines the irrational, short-sighted financial decision-making of individuals — a different paradigm than the assumptions about rational decision-making found in neoclassical economics.

“It really seems to be the diversity of economics that makes it do well in influencing other fields,” Ellison says. “Operations research, computer science, and psychology are paying a lot of attention to economic theory. Sociologists are paying a lot of attention to labor economics, marketing and management are paying attention to industrial organization, statisticians are paying attention to econometrics, and the public health people are paying attention to health economics. Just about everything in economics is influential somewhere.”

"For as long as we have citizens willing to follow their example, to carry on their burden, to continue their legacy, then America's cause will never fail and American freedom will never, ever die."

But that doesn't mean it isn't jarring, as the most wrenching moment so far approaches in the nation's battle against a pandemic that while ebbing in terms of total deaths is trending up in 18 states, is steady in 22 and easing in 10 more. More than 98,000 people in the US have now died from the coronavirus and more than 1.6 million have been infected. More than 30 million Americans have lost their jobs and the unemployment rate is approaching Great Depression levels.

There was little evidence of a deeper meaning to his presidency at this stage than personal and political grievances.

No White House could have been fully prepared for the disaster and subsequent economic hollowing of this year's pandemic

Trump spent much of Memorial Day, fulminating against Cooper, complaining that the North Carolina governor was "unable to guarantee" the arena for the convention in August can be filled to capacity. The President is determined to deploy the full pageantry of convention season to portray a nation and economy in the full throes of what he calls a "transition to greatness."

Yet such a spectacle as the Republican convention seems utterly incongruous with real-world events. Sports teams that use such arenas are expecting to play without fans for at least months in a bio-secure environment. The prospect of thousands of delegates pouring into convention cities from all over the country, including coronavirus hotspots, is a huge headache for organizers.

"In other words, we would be spending millions of dollars building the Arena to a very high standard without even knowing if the Democrat Governor would allow the Republican Party to fully occupy the space."

It was not immediately clear whether Trump and the Republican National Committee are serious about pulling the convention from Charlotte.

Trump has used federal resources multiple times to fly to his resorts and golf courses. Trump's two rounds this weekend struck critics as inappropriate during a national crisis and on a weekend when American remembers its war dead.

"Nearly 100,000 lives have been lost, and tens of millions are out of work. Meanwhile, the president spent his day golfing," Biden wrote in a tweet accompanying an online ad Saturday.

Trump may not come under such criticism had he not been so dismissive of Obama's afternoons on the golf course -- and saying he wouldn't have time to play golf if he was elected president.

After it emerged that Washington Gov. Jay Inslee had criticized the federal response on a call with governors and the President earlier Thursday, Trump blasted his critic as a "failed presidential candidate." And as officials in Michigan registered increasing concern about a building crisis in the Great Lakes State, the President hit out at Gov. Gretchen Whitmer, saying "all she does is sit there and blame the federal government."

"I think they think we're doing a really good job in terms of running this whole situation having to do with the virus," Trump said at the White House, referring to the American people. "I think they feel that myself and the administration are doing a good job. ... There was a lot of fear and a lot of good things are happening."

Monday’s letter argues that “open-mindedness, critical thinking, and debate” are “our best antidotes to bigotry;” that a bigot is a person “who is obstinately or intolerantly devoted to his or her own opinions and prejudices;” and that the only people who need fear open-minded inquiry and robust debate “are the actual bigots,

When someone senses you are really listening to what they have to say amazing things can happen. Solutions can be found that were never imagined. Understanding can be reached that had seemed impossible. Old angers and resentments can be overcome. Frustrations can simply fall away. Everyone lightens up and feels much better.

And the true listener is much more believed, magnetic than the talker, and he is more effective and learns more and does more good.

While the physical sciences produce many detailed and precise predictions, the social sciences do not.  The reason is that such predictions almost always require randomized controlled experiments, which are seldom possible when people are involved.  For one thing, we are too complex: our behavior depends on an enormous number of tightly interconnected variables that are extraordinarily difficult to  distinguish and study separately

Without a strong track record of experiments leading to successful predictions, there is seldom a basis for taking social scientific results as definitive

our policy discussions should simply ignore social scientific research.  We should, as Manzi himself proposes, find ways of injecting more experimental data into government decisions.  But above all, we need to develop a much better sense of the severely limited reliability of social scientific results.   Media reports of research should pay far more attention to these limitations, and scientists reporting the results need to emphasize what they don’t show as much as what they do.

Given the limited predictive success and the lack of consensus in social sciences, their conclusions can seldom be primary guides to setting policy.  At best, they can supplement the general knowledge, practical experience, good sense and critical intelligence that we can only hope our political leaders will have.

How much authority should we give to such work in our policy decisions?  The question is important because media reports often seem to assume that any result presented as “scientific” has a claim to our serious attention.

Without a strong track record of experiments leading to successful predictions, there is seldom a basis for taking social scientific results as definitive

our policy discussions should simply ignore social scientific research.  We should, as Manzi himself proposes, find ways of injecting more experimental data into government decisions.  But above all, we need to develop a much better sense of the severely limited reliability of social scientific results.   Media reports of research should pay far more attention to these limitations, and scientists reporting the results need to emphasize what they don’t show as much as what they do

our policy discussions should simply ignore social scientific research.  We should, as Manzi himself proposes, find ways of injecting more experimental data into government decisions.  But above all, we need to develop a much better sense of the severely limited reliability of social scientific results.   Media reports of research should pay far more attention to these limitations, and scientists reporting the results need to emphasize what they don’t show as much as what they do.

Social sciences may be surrounded by the “paraphernalia” of the natural sciences, such as technical terminology, mathematical equations, empirical data and even carefully designed experiments. 

Given the limited predictive success and the lack of consensus in social sciences, their conclusions can seldom be primary guides to setting policy.  At best, they can supplement the general knowledge, practical experience, good sense and critical intelligence that we can only hope our political leaders will have.

The result has been a hidden revolution in how information is produced, circulated and acted upon

The world’s liberal democracies now confront a tragedy of the “un-commons.” Information spaces that people assume to be public are strictly ruled by private commercial interests for maximum profit.

The internet as a self-regulating market has been revealed as a failed experiment. Surveillance capitalism leaves a trail of social wreckage in its wake: the wholesale destruction of privacy, the intensification of social inequality, the poisoning of social discourse with defactualized information, the demolition of social norms and the weakening of democratic institutions.

These social harms are not random. They are tightly coupled effects of evolving economic operations. Each harm paves the way for the next and is dependent on what went before.

There is no way to escape the machine systems that surveil u

All roads to economic and social participation now lead through surveillance capitalism’s profit-maximizing institutional terrain, a condition that has intensified during nearly two years of global plague.

Will Facebook’s digital violence finally trigger our commitment to take back the “un-commons”?

Will we confront the fundamental but long ignored questions of an information civilization: How should we organize and govern the information and communication spaces of the digital century in ways that sustain and advance democratic values and principles?

Mark Zuckerberg’s start-up did not invent surveillance capitalism. Google did that. In 2000, when only 25 percent of the world’s information was stored digitally, Google was a tiny start-up with a great search product but little revenue.

By 2001, in the teeth of the dot-com bust, Google’s leaders found their breakthrough in a series of inventions that would transform advertising. Their team learned how to combine massive data flows of personal information with advanced computational analyses to predict where an ad should be placed for maximum “click through.”

Google’s scientists learned how to extract predictive metadata from this “data exhaust” and use it to analyze likely patterns of future behavior.

Prediction was the first imperative that determined the second imperative: extraction.

Lucrative predictions required flows of human data at unimaginable scale. Users did not suspect that their data was secretly hunted and captured from every corner of the internet and, later, from apps, smartphones, devices, cameras and sensors

User ignorance was understood as crucial to success. Each new product was a means to more “engagement,” a euphemism used to conceal illicit extraction operations.

When asked “What is Google?” the co-founder Larry Page laid it out in 2001,

“Storage is cheap. Cameras are cheap. People will generate enormous amounts of data,” Mr. Page said. “Everything you’ve ever heard or seen or experienced will become searchable. Your whole life will be searchable.”

Instead of selling search to users, Google survived by turning its search engine into a sophisticated surveillance medium for seizing human data

Company executives worked to keep these economic operations secret, hidden from users, lawmakers, and competitors. Mr. Page opposed anything that might “stir the privacy pot and endanger our ability to gather data,” Mr. Edwards wrote.

As recently as 2017, Eric Schmidt, the executive chairman of Google’s parent company, Alphabet, acknowledged the role of Google’s algorithmic ranking operations in spreading corrupt information. “There is a line that we can’t really get across,” he said. “It is very difficult for us to understand truth.” A company with a mission to organize and make accessible all the world’s information using the most sophisticated machine systems cannot discern corrupt information.

This is the economic context in which disinformation wins

In March 2008, Mr. Zuckerberg hired Google’s head of global online advertising, Sheryl Sandberg, as his second in command. Ms. Sandberg had joined Google in 2001 and was a key player in the surveillance capitalism revolution. She led the build-out of Google’s advertising engine, AdWords, and its AdSense program, which together accounted for most of the company’s $16.6 billion in revenue in 2007.

A Google multimillionaire by the time she met Mr. Zuckerberg, Ms. Sandberg had a canny appreciation of Facebook’s immense opportunities for extraction of rich predictive data. “We have better information than anyone else. We know gender, age, location, and it’s real data as opposed to the stuff other people infer,” Ms. Sandberg explained

The company had “better data” and “real data” because it had a front-row seat to what Mr. Page had called “your whole life.”

Facebook paved the way for surveillance economics with new privacy policies in late 2009. The Electronic Frontier Foundation warned that new “Everyone” settings eliminated options to restrict the visibility of personal data, instead treating it as publicly available information.

Mr. Zuckerberg “just went for it” because there were no laws to stop him from joining Google in the wholesale destruction of privacy. If lawmakers wanted to sanction him as a ruthless profit-maximizer willing to use his social network against society, then 2009 to 2010 would have been a good opportunity.

Facebook was the first follower, but not the last. Google, Facebook, Amazon, Microsoft and Apple are private surveillance empires, each with distinct business models.

In 2021 these five U.S. tech giants represent five of the six largest publicly traded companies by market capitalization in the world.

As we move into the third decade of the 21st century, surveillance capitalism is the dominant economic institution of our time. In the absence of countervailing law, this system successfully mediates nearly every aspect of human engagement with digital information

Today all apps and software, no matter how benign they appear, are designed to maximize data collection.

Historically, great concentrations of corporate power were associated with economic harms. But when human data are the raw material and predictions of human behavior are the product, then the harms are social rather than economic

The difficulty is that these novel harms are typically understood as separate, even unrelated, problems, which makes them impossible to solve. Instead, each new stage of harm creates the conditions for the next stage.

Fifty years ago the conservative economist Milton Friedman exhorted American executives, “There is one and only one social responsibility of business — to use its resources and engage in activities designed to increase its profits so long as it stays within the rules of the game.” Even this radical doctrine did not reckon with the possibility of no rules.

With privacy out of the way, ill-gotten human data are concentrated within private corporations, where they are claimed as corporate assets to be deployed at will.

The sheer size of this knowledge gap is conveyed in a leaked 2018 Facebook document, which described its artificial intelligence hub, ingesting trillions of behavioral data points every day and producing six million behavioral predictions each second.

Next, these human data are weaponized as targeting algorithms, engineered to maximize extraction and aimed back at their unsuspecting human sources to increase engagement

Targeting mechanisms change real life, sometimes with grave consequences. For example, the Facebook Files depict Mr. Zuckerberg using his algorithms to reinforce or disrupt the behavior of billions of people. Anger is rewarded or ignored. News stories become more trustworthy or unhinged. Publishers prosper or wither. Political discourse turns uglier or more moderate. People live or die.

Occasionally the fog clears to reveal the ultimate harm: the growing power of tech giants willing to use their control over critical information infrastructure to compete with democratically elected lawmakers for societal dominance.

when it comes to the triumph of surveillance capitalism’s revolution, it is the lawmakers of every liberal democracy, especially in the United States, who bear the greatest burden of responsibility. They allowed private capital to rule our information spaces during two decades of spectacular growth, with no laws to stop it.

All of it begins with extraction. An economic order founded on the secret massive-scale extraction of human data assumes the destruction of privacy as a nonnegotiable condition of its business operations.

We can’t fix all our problems at once, but we won’t fix any of them, ever, unless we reclaim the sanctity of information integrity and trustworthy communications

The abdication of our information and communication spaces to surveillance capitalism has become the meta-crisis of every republic, because it obstructs solutions to all other crises.

Neither Google, nor Facebook, nor any other corporate actor in this new economic order set out to destroy society, any more than the fossil fuel industry set out to destroy the earth.

like global warming, the tech giants and their fellow travelers have been willing to treat their destructive effects on people and society as collateral damage — the unfortunate but unavoidable byproduct of perfectly legal economic operations that have produced some of the wealthiest and most powerful corporations in the history of capitalism.

Where does that leave us?

Democracy is the only countervailing institutional order with the legitimate authority and power to change our course. If the ideal of human self-governance is to survive the digital century, then all solutions point to one solution: a democratic counterrevolution.

instead of the usual laundry lists of remedies, lawmakers need to proceed with a clear grasp of the adversary: a single hierarchy of economic causes and their social harms.

We can’t rid ourselves of later-stage social harms unless we outlaw their foundational economic causes

This means we move beyond the current focus on downstream issues such as content moderation and policing illegal content. Such “remedies” only treat the symptoms without challenging the illegitimacy of the human data extraction that funds private control over society’s information spaces

Similarly, structural solutions like “breaking up” the tech giants may be valuable in some cases, but they will not affect the underlying economic operations of surveillance capitalism.

Instead, discussions about regulating big tech should focus on the bedrock of surveillance economics: the secret extraction of human data from realms of life once called “private.

No secret extraction means no illegitimate concentrations of knowledge about people. No concentrations of knowledge means no targeting algorithms. No targeting means that corporations can no longer control and curate information flows and social speech or shape human behavior to favor their interests

the sober truth is that we need lawmakers ready to engage in a once-a-century exploration of far more basic questions:

How should we structure and govern information, connection and communication in a democratic digital century?

What new charters of rights, legislative frameworks and institutions are required to ensure that data collection and use serve the genuine needs of individuals and society?

What measures will protect citizens from unaccountable power over information, whether it is wielded by private companies or governments?

The corporation that is Facebook may change its name or its leaders, but it will not voluntarily change its economics.

It isn’t clear how the American public-school system will survive the COVID years. Teachers, whose relative pay and status have been in decline for decades, are fleeing the field. In 2021, buckling under the stresses of the pandemic, nearly 1 million people quit jobs in public education, a 40 percent increase over the previous year.

These kids, and the investments that come with them, may never return—the beginning of a cycle of attrition that could continue long after the pandemic ends and leave public schools even more underfunded and dilapidated than before. “It’s an open question whether the public-school system will recover,” Steiner said. “That is a real concern for democratic education.”

The high-profile failings of public schools during the pandemic have become a political problem for Democrats, because of their association with unions, prolonged closures, and the pedagogy of social justice, which can become a form of indoctrination.

The party that stands for strong government services in the name of egalitarian principles supported the closing of schools far longer than either the science or the welfare of children justified, and it has been woefully slow to acknowledge how much this damaged the life chances of some of America’s most disadvantaged students.

Public education is too important to be left to politicians and ideologues. Public schools still serve about 90 percent of children across red and blue America.

Since the common-school movement in the early 19th century, the public school has had an exalted purpose in this country. It’s our core civic institution—not just because, ideally, it brings children of all backgrounds together in a classroom, but because it prepares them for the demands and privileges of democratic citizenship. Or at least, it needs to.

What is school for? This is the kind of foundational question that arises when a crisis shakes the public’s faith in an essential institution. “The original thinkers about public education were concerned almost to a point of paranoia about creating self-governing citizens,”

“Horace Mann went to his grave having never once uttered the phrase college- and career-ready. We’ve become more accustomed to thinking about the private ends of education. We’ve completely lost the habit of thinking about education as citizen-making.”

School can’t just be an economic sorting system. One reason we have a stake in the education of other people’s children is that they will grow up to be citizens.

Public education is meant not to mirror the unexamined values of a particular family or community, but to expose children to ways that other people, some of them long dead, think.

If the answer were simply to push more and more kids into college, the United States would be entering its democratic prime

So the question isn’t just how much education, but what kind. Is it quaint, or utopian, to talk about teaching our children to be capable of governing themselves?

The COVID era, with Donald Trump out of office but still in power and with battles over mask mandates and critical race theory convulsing Twitter and school-board meetings, shows how badly Americans are able to think about our collective problems—let alone read, listen, empathize, debate, reconsider, and persuade in the search for solutions.

democratic citizenship can, at least in part, be learned.

The history warriors build their metaphysics of national good or evil on a foundation of ignorance. In a 2019 survey, only 40 percent of Americans were able to pass the test that all applicants for U.S. citizenship must take, which asks questions like “Who did the United States fight in World War II?” and “We elect a President for how many years?” The only state in which a majority passed was Vermont.

he orthodoxies currently fighting for our children’s souls turn the teaching of U.S. history into a static and morally simple quest for some American essence. They proceed from celebration or indictment toward a final judgment—innocent or guilty—and bury either oppression or progress in a subordinate clause. The most depressing thing about this gloomy pedagogy of ideologies in service to fragile psyches is how much knowledge it takes away from students who already have so little

A central goal for history, social-studies, and civics instruction should be to give students something more solid than spoon-fed maxims—to help them engage with the past on its own terms, not use it as a weapon in the latest front of the culture wars.

Releasing them to do “research” in the vast ocean of the internet without maps and compasses, as often happens, guarantees that they will drown before they arrive anywhere.

The truth requires a grounding in historical facts, but facts are quickly forgotten without meaning and context

The goal isn’t just to teach students the origins of the Civil War, but to give them the ability to read closely, think critically, evaluate sources, corroborate accounts, and back up their claims with evidence from original documents.

This kind of instruction, which requires teachers to distinguish between exposure and indoctrination, isn’t easy; it asks them to be more sophisticated professionals than their shabby conditions and pay (median salary: $62,000, less than accountants and transit police) suggest we are willing to support.

To do that, we’ll need to help kids restore at least part of their crushed attention spans.

staring at a screen for hours is a heavy depressant, especially for teenagers.

we’ll look back on the amount of time we let our children spend online with the same horror that we now feel about earlier generations of adults who hooked their kids on smoking.

“It’s not a choice between tech or no tech,” Bill Tally, a researcher with the Education Development Center, told me. “The question is what tech infrastructure best enables the things we care about,” such as deep engagement with instructional materials, teachers, and other students.

The pandemic should have forced us to reassess what really matters in public school; instead, it’s a crisis that we’ve just about wasted.

Like learning to read as historians, learning to sift through the tidal flood of memes for useful, reliable information can emancipate children who have been heedlessly hooked on screens by the adults in their lives

Finally, let’s give children a chance to read books—good books. It’s a strange feature of all the recent pedagogical innovations that they’ve resulted in the gradual disappearance of literature from many classrooms.

The best way to interest young people in literature is to have them read good literature, and not just books that focus with grim piety on the contemporary social and psychological problems of teenagers.

We sell them insultingly short in thinking that they won’t read unless the subject is themselves. Mirrors are ultimately isolating; young readers also need windows, even if the view is unfamiliar, even if it’s disturbing

connection through language to universal human experience and thought is the reward of great literature, a source of empathy and wisdom.

The culture wars, with their atmosphere of resentment, fear, and petty faultfinding, are hostile to the writing and reading of literature.

W. E. B. Du Bois wrote: “Nations reel and stagger on their way; they make hideous mistakes; they commit frightful wrongs; they do great and beautiful things. And shall we not best guide humanity by telling the truth about all this, so far as the truth is ascertainable?”

The classroom has become a half-abandoned battlefield, where grown-ups who claim to be protecting students from the virus, from books, from ideologies and counter-ideologies end up using children to protect themselves and their own entrenched camps.

American democracy can’t afford another generation of adults who don’t know how to talk and listen and think. We owe our COVID-scarred children the means to free themselves from the failures of the past and the present.

Students are leaving as well. Since 2020, nearly 1.5 million children have been removed from public schools to attend private or charter schools or be homeschooled.

“COVID has encouraged poor parents to question the quality of public education. We are seeing diminished numbers of children in our public schools, particularly our urban public schools.” In New York, more than 80,000 children have disappeared from city schools; in Los Angeles, more than 26,000; in Chicago, more than 24,000.

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.

Colonisation exposed us to new ideas that shocked and confused us. Graeber & Wengrow focus on the French coming into contact with Native Americans in Canada, and in particular on Wendat Confederacy philosopher–statesman Kandiaronk as an example of European traders, missionaries, and intellectuals debating with, and being criticized by indigenous people. Historians have downplayed how much these encounters shaped Enlightenment ideas.

this thought-provoking book is armed to the teeth with fascinating ideas and interpretations that go against mainstream thinking

ather than yet another history book telling you how humanity got here, they take their respective disciplines to task for dealing in myths.

Its legacy, shaped via several iterations, is the modern textbook narrative: hunter-gathering was replaced by pastoralism and then farming; the agricultural revolution resulted in larger populations producing material surpluses; these allowed for specialist occupations but also needed bureaucracies to share and administer them to everyone; and this top-down control led to today’s nation states. Ta-daa!

this simplistic tale of progress ignores and downplays that there was nothing linear or inevitable about where we have ended up.

ake agriculture. Rather than humans enthusiastically entering into what Harari in Sapiens called a Faustian bargain with crops, there were many pathways and responses

Experiments show that plant domestication could have been achieved in as little as 20–30 years, so the fact that cereal domestication here took some 3,000 years questions the notion of an agricultural “revolution”. Lastly, this book includes many examples of areas where agriculture was purposefully rejected. Designating such times and places as “pre-agricultural” is misleading, write the authors, they were anti-agricultural.

The idea that agriculture led to large states similarly needs revision

correlation is not causation, and some 15–20 additional centres of domestication have since been identified that followed different paths. Some cities have previously remained hidden in the sediments of ancient river deltas until revealed by modern remote-sensing technology.

“extensive agriculture may thus have been an outcome, not a cause, of urbanization”

And cities did not automatically imply social stratification. The Dawn of Everything fascinates with its numerous examples of large settlements without ruling classes, such as Ukrainian mega-sites, the Harappan civilization, or Mexican city-states.

These instead relied on collective decision-making through assemblies or councils, which questions some of the assumptions of evolutionary psychology about scale: that larger human groups require complex (i.e. hierarchical) systems to organize them.

e what is staring them in the face

humans have always been very capable of consciously experimenting with different social arrangements. And—this is rarely acknowledged—they did so on a seasonal basis, spending e.g. part of the year settled in large communal groups under a leader, and another part as small, independently roving bands.

Throughout, Graeber & Wengrow convincingly argue that the only thing we can say about our ancestors is that “there is no single pattern. The only consistent phenomenon is the very fact of alteration […] If human beings, through most of our history, have moved back and forth fluidly between different social arrangements […] maybe the real question should be ‘how did we get stuck?

Next to criticism, the authors put out some interesting ideas of their own, of which I want to quickly highlight two.

The first is that some of the observed variations in social arrangements resulted from schismogenesis. Anthropologist Gregory Bateson coined this term in the 1930s to describe how people define themselves against or in opposition to others, adopting behaviours and attitudes that are different.

The second idea is that states can be described in terms of three elementary forms of domination: control of violence, control of information, and individual charisma, which express themselves as sovereignty, administration, and competitive politics.

Asking which past society most resembles today’s is the wrong question to ask. It risks slipping into an exercise in retrofitting, “which makes us scour the ancient world for embryonic versions of our modern nation states”

I have left unmentioned several other topics: the overlooked role of women, the legacy of Rousseau’s and Hobbes’s ideas, the origins of inequality and the flawed assumptions hiding behind that question

There are so many historical details and delights hiding between these covers that I was thoroughly enthralle

If you have any interest in big history, archaeology, or anthropology, this book is indispensable. I am confident that the questions and critiques raised here will remain relevant for a long time to come.

I was particularly impressed by the in-depth critique by worbsintowords on his YouTube channel What is Politics? of (so far) five videos

Industry leaders believe the new A.I. systems could be as important as the introduction of the web browser in the early 1990s and could lead to breakthroughs in areas ranging from drug research to education.

But gnawing at many industry insiders is a fear that they are releasing something dangerous into the wild. Generative A.I. can already be a tool for misinformation. Soon, it could be a risk to jobs. Somewhere down the line, tech’s biggest worriers say, it could be a risk to humanity.

“It is hard to see how you can prevent the bad actors from using it for bad things,” Dr. Hinton said.

After the San Francisco start-up OpenAI released a new version of ChatGPT in March, more than 1,000 technology leaders and researchers signed an open letter calling for a six-month moratorium on the development of new systems because A.I technologies pose “profound risks to society and humanity.

Several days later, 19 current and former leaders of the Association for the Advancement of Artificial Intelligence, a 40-year-old academic society, released their own letter warning of the risks of A.I. That group included Eric Horvitz, chief scientific officer at Microsoft, which has deployed OpenAI’s technology across a wide range of products, including its Bing search engine.

Dr. Hinton, often called “the Godfather of A.I.,” did not sign either of those letters and said he did not want to publicly criticize Google or other companies until he had quit his job

Dr. Hinton, a 75-year-old British expatriate, is a lifelong academic whose career was driven by his personal convictions about the development and use of A.I. In 1972, as a graduate student at the University of Edinburgh, Dr. Hinton embraced an idea called a neural network. A neural network is a mathematical system that learns skills by analyzing data. At the time, few researchers believed in the idea. But it became his life’s work.

Dr. Hinton is deeply opposed to the use of artificial intelligence on the battlefield — what he calls “robot soldiers.”

In 2012, Dr. Hinton and two of his students in Toronto, Ilya Sutskever and Alex Krishevsky, built a neural network that could analyze thousands of photos and teach itself to identify common objects, such as flowers, dogs and cars.

In 2018, Dr. Hinton and two other longtime collaborators received the Turing Award, often called “the Nobel Prize of computing,” for their work on neural networks.

Around the same time, Google, OpenAI and other companies began building neural networks that learned from huge amounts of digital text. Dr. Hinton thought it was a powerful way for machines to understand and generate language, but it was inferior to the way humans handled language.

Then, last year, as Google and OpenAI built systems using much larger amounts of data, his view changed. He still believed the systems were inferior to the human brain in some ways but he thought they were eclipsing human intelligence in others.

“Maybe what is going on in these systems,” he said, “is actually a lot better than what is going on in the brain.”

As companies improve their A.I. systems, he believes, they become increasingly dangerous. “Look at how it was five years ago and how it is now,” he said of A.I. technology. “Take the difference and propagate it forwards. That’s scary.”

Until last year, he said, Google acted as a “proper steward” for the technology, careful not to release something that might cause harm. But now that Microsoft has augmented its Bing search engine with a chatbot — challenging Google’s core business — Google is racing to deploy the same kind of technology. The tech giants are locked in a competition that might be impossible to stop, Dr. Hinton said.

His immediate concern is that the internet will be flooded with false photos, videos and text, and the average person will “not be able to know what is true anymore.”

He is also worried that A.I. technologies will in time upend the job market. Today, chatbots like ChatGPT tend to complement human workers, but they could replace paralegals, personal assistants, translators and others who handle rote tasks. “It takes away the drudge work,” he said. “It might take away more than that.”

Down the road, he is worried that future versions of the technology pose a threat to humanity because they often learn unexpected behavior from the vast amounts of data they analyze. This becomes an issue, he said, as individuals and companies allow A.I. systems not only to generate their own computer code but actually run that code on their ow

And he fears a day when truly autonomous weapons — those killer robots — become reality.

“The idea that this stuff could actually get smarter than people — a few people believed that,” he said. “But most people thought it was way off. And I thought it was way off. I thought it was 30 to 50 years or even longer away. Obviously, I no longer think that.”

Many other experts, including many of his students and colleagues, say this threat is hypothetical. But Dr. Hinton believes that the race between Google and Microsoft and others will escalate into a global race that will not stop without some sort of global regulation.

But that may be impossible, he said. Unlike with nuclear weapons, he said, there is no way of knowing whether companies or countries are working on the technology in secret. The best hope is for the world’s leading scientists to collaborate on ways of controlling the technology. “I don’t think they should scale this up more until they have understood whether they can control it,” he said.

Dr. Hinton said that when people used to ask him how he could work on technology that was potentially dangerous, he would paraphrase Robert Oppenheimer, who led the U.S. effort to build the atomic bomb: “When you see something that is technically sweet, you go ahead and do it.”

He does not say that anymore.

start with epistemic bubbles

That omission might be purposeful

But that omission can also be entirely inadvertent. Even if we’re not actively trying to avoid disagreement, our Facebook friends tend to share our views and interests

An ‘echo chamber’ is a social structure from which other relevant voices have been actively discredited. Where an epistemic bubble merely omits contrary views, an echo chamber brings its members to actively distrust outsiders.

an echo chamber is something like a cult. A cult isolates its members by actively alienating them from any outside sources. Those outside are actively labelled as malignant and untrustworthy.

In epistemic bubbles, other voices are not heard; in echo chambers, other voices are actively undermined.

The way to break an echo chamber is not to wave “the facts” in the faces of its members. It is to attack the echo chamber at its root and repair that broken trust.

Looking to others for corroboration is a basic method for checking whether one has reasoned well or badly

They have been in the limelight lately, most famously in Eli Pariser’s The Filter Bubble (2011) and Cass Sunstein’s #Republic: Divided Democracy in the Age of Social Media (2017).

The general gist: we get much of our news from Facebook feeds and similar sorts of social media. Our Facebook feed consists mostly of our friends and colleagues, the majority of whom share our own political and cultural views

various algorithms behind the scenes, such as those inside Google search, invisibly personalise our searches, making it more likely that we’ll see only what we want to see. These processes all impose filters on information.

Such filters aren’t necessarily bad. The world is overstuffed with information, and one can’t sort through it all by oneself: filters need to be outsourced.

That’s why we all depend on extended social networks to deliver us knowledge

any such informational network needs the right sort of broadness and variety to work

Each individual person in my network might be superbly reliable about her particular informational patch but, as an aggregate structure, my network lacks what Sanford Goldberg in his book Relying on Others (2010) calls ‘coverage-reliability’. It doesn’t deliver to me a sufficiently broad and representative coverage of all the relevant information.

Epistemic bubbles also threaten us with a second danger: excessive self-confidence.

An ‘epistemic bubble’ is an informational network from which relevant voices have been excluded by omission

Suppose that I believe that the Paleo diet is the greatest diet of all time. I assemble a Facebook group called ‘Great Health Facts!’ and fill it only with people who already believe that Paleo is the best diet. The fact that everybody in that group agrees with me about Paleo shouldn’t increase my confidence level one bit. They’re not mere copies – they actually might have reached their conclusions independently – but their agreement can be entirely explained by my method of selection.

Luckily, though, epistemic bubbles are easily shattered. We can pop an epistemic bubble simply by exposing its members to the information and arguments that they’ve missed.

echo chambers are a far more pernicious and robust phenomenon.

amieson and Cappella’s book is the first empirical study into how echo chambers function

echo chambers work by systematically alienating their members from all outside epistemic sources.

Their research centres on Rush Limbaugh, a wildly successful conservative firebrand in the United States, along with Fox News and related media

His constant attacks on the ‘mainstream media’ are attempts to discredit all other sources of knowledge. He systematically undermines the integrity of anybody who expresses any kind of contrary view.

outsiders are not simply mistaken – they are malicious, manipulative and actively working to destroy Limbaugh and his followers. The resulting worldview is one of deeply opposed force, an all-or-nothing war between good and evil

The result is a rather striking parallel to the techniques of emotional isolation typically practised in cult indoctrination

cult indoctrination involves new cult members being brought to distrust all non-cult members. This provides a social buffer against any attempts to extract the indoctrinated person from the cult.

The echo chamber doesn’t need any bad connectivity to function. Limbaugh’s followers have full access to outside sources of information

As Elijah Millgram argues in The Great Endarkenment (2015), modern knowledge depends on trusting long chains of experts. And no single person is in the position to check up on the reliability of every member of that chain

Their worldview can survive exposure to those outside voices because their belief system has prepared them for such intellectual onslaught.

exposure to contrary views could actually reinforce their views. Limbaugh might offer his followers a conspiracy theory: anybody who criticises him is doing it at the behest of a secret cabal of evil elites, which has already seized control of the mainstream media.

Perversely, exposure to outsiders with contrary views can thus increase echo-chamber members’ confidence in their insider sources, and hence their attachment to their worldview.

‘evidential pre-emption’. What’s happening is a kind of intellectual judo, in which the power and enthusiasm of contrary voices are turned against those contrary voices through a carefully rigged internal structure of belief.

One might be tempted to think that the solution is just more intellectual autonomy. Echo chambers arise because we trust others too much, so the solution is to start thinking for ourselves.

that kind of radical intellectual autonomy is a pipe dream. If the philosophical study of knowledge has taught us anything in the past half-century, it is that we are irredeemably dependent on each other in almost every domain of knowledge

Limbaugh’s followers regularly read – but do not accept – mainstream and liberal news sources. They are isolated, not by selective exposure, but by changes in who they accept as authorities, experts and trusted sources.

we depend on a vastly complicated social structure of trust. We must trust each other, but, as the philosopher Annette Baier says, that trust makes us vulnerable. Echo chambers operate as a kind of social parasite on that vulnerability, taking advantage of our epistemic condition and social dependency.

I am quite confident that there are plenty of echo chambers on the political Left. More importantly, nothing about echo chambers restricts them to the arena of politics

The world of anti-vaccination is clearly an echo chamber, and it is one that crosses political lines. I’ve also encountered echo chambers on topics as broad as diet (Paleo!), exercise technique (CrossFit!), breastfeeding, some academic intellectual traditions, and many, many more

Here’s a basic check: does a community’s belief system actively undermine the trustworthiness of any outsiders who don’t subscribe to its central dogmas? Then it’s probably an echo chamber.

much of the recent analysis has lumped epistemic bubbles together with echo chambers into a single, unified phenomenon. But it is absolutely crucial to distinguish between the two.

Epistemic bubbles are rather ramshackle; they go up easily, and they collapse easily

Echo chambers are far more pernicious and far more robust. They can start to seem almost like living things. Their belief systems provide structural integrity, resilience and active responses to outside attacks

the two phenomena can also exist independently. And of the events we’re most worried about, it’s the echo-chamber effects that are really causing most of the trouble.

new data does, in fact, seem to show that people on Facebook actually do see posts from the other side, or that people often visit websites with opposite political affiliation.

their basis for evaluation – their background beliefs about whom to trust – are radically different. They are not irrational, but systematically misinformed about where to place their trust.

Many people have claimed that we have entered an era of ‘post-truth’.

Not only do some political figures seem to speak with a blatant disregard for the facts, but their supporters seem utterly unswayed by evidence. It seems, to some, that truth no longer matters.

This is an explanation in terms of total irrationality. To accept it, you must believe that a great number of people have lost all interest in evidence or investigation, and have fallen away from the ways of reason.

echo chambers offers a less damning and far more modest explanation. The apparent ‘post-truth’ attitude can be explained as the result of the manipulations of trust wrought by echo chambers.

We don’t have to attribute a complete disinterest in facts, evidence or reason to explain the post-truth attitude. We simply have to attribute to certain communities a vastly divergent set of trusted authorities.

An echo chamber doesn’t destroy their members’ interest in the truth; it merely manipulates whom they trust and changes whom they accept as trustworthy sources and institutions.

in many ways, echo-chamber members are following reasonable and rational procedures of enquiry. They’re engaging in critical reasoning. They’re questioning, they’re evaluating sources for themselves, they’re assessing different pathways to information. They are critically examining those who claim expertise and trustworthiness, using what they already know about the world

none of this weighs against the existence of echo chambers. We should not dismiss the threat of echo chambers based only on evidence about connectivity and exposure.

Notice how different what’s going on here is from, say, Orwellian doublespeak, a deliberately ambiguous, euphemism-filled language designed to hide the intent of the speaker.

echo chambers don’t trade in vague, ambiguous pseudo-speech. We should expect that echo chambers would deliver crisp, clear, unambiguous claims about who is trustworthy and who is not

clearly articulated conspiracy theories, and crisply worded accusations of an outside world rife with untrustworthiness and corruption.

Once an echo chamber starts to grip a person, its mechanisms will reinforce themselves.

In an epistemically healthy life, the variety of our informational sources will put an upper limit to how much we’re willing to trust any single person. Everybody’s fallible; a healthy informational network tends to discover people’s mistakes and point them out. This puts an upper ceiling on how much you can trust even your most beloved leader

nside an echo chamber, that upper ceiling disappears.

Being caught in an echo chamber is not always the result of laziness or bad faith. Imagine, for instance, that somebody has been raised and educated entirely inside an echo chamber

when the child finally comes into contact with the larger world – say, as a teenager – the echo chamber’s worldview is firmly in place. That teenager will distrust all sources outside her echo chamber, and she will have gotten there by following normal procedures for trust and learning.

It certainly seems like our teenager is behaving reasonably. She could be going about her intellectual life in perfectly good faith. She might be intellectually voracious, seeking out new sources, investigating them, and evaluating them using what she already knows.

The worry is that she’s intellectually trapped. Her earnest attempts at intellectual investigation are led astray by her upbringing and the social structure in which she is embedded.

Echo chambers might function like addiction, under certain accounts. It might be irrational to become addicted, but all it takes is a momentary lapse – once you’re addicted, your internal landscape is sufficiently rearranged such that it’s rational to continue with your addiction

Similarly, all it takes to enter an echo chamber is a momentary lapse of intellectual vigilance. Once you’re in, the echo chamber’s belief systems function as a trap, making future acts of intellectual vigilance only reinforce the echo chamber’s worldview.

There is at least one possible escape route, however. Notice that the logic of the echo chamber depends on the order in which we encounter the evidence. An echo chamber can bring our teenager to discredit outside beliefs precisely because she encountered the echo chamber’s claims first. Imagine a counterpart to our teenager who was raised outside of the echo chamber and exposed to a wide range of beliefs. Our free-range counterpart would, when she encounters that same echo chamber, likely see its many flaws

Those caught in an echo chamber are giving far too much weight to the evidence they encounter first, just because it’s first. Rationally, they should reconsider their beliefs without that arbitrary preference. But how does one enforce such informational a-historicity?

The escape route is a modified version of René Descartes’s infamous method.

Meditations on First Philosophy (1641). He had come to realise that many of the beliefs he had acquired in his early life were false. But early beliefs lead to all sorts of other beliefs, and any early falsehoods he’d accepted had surely infected the rest of his belief system.

The only solution, thought Descartes, was to throw all his beliefs away and start over again from scratch.

He could start over, trusting nothing and no one except those things that he could be entirely certain of, and stamping out those sneaky falsehoods once and for all. Let’s call this the Cartesian epistemic reboot.

Notice how close Descartes’s problem is to our hapless teenager’s, and how useful the solution might be. Our teenager, like Descartes, has problematic beliefs acquired in early childhood. These beliefs have infected outwards, infesting that teenager’s whole belief system. Our teenager, too, needs to throw everything away, and start over again.

Let’s call the modernised version of Descartes’s methodology the social-epistemic reboot.

when she starts from scratch, we won’t demand that she trust only what she’s absolutely certain of, nor will we demand that she go it alone

For the social reboot, she can proceed, after throwing everything away, in an utterly mundane way – trusting her senses, trusting others. But she must begin afresh socially – she must reconsider all possible sources of information with a presumptively equanimous eye. She must take the posture of a cognitive newborn, open and equally trusting to all outside sources

we’re not asking people to change their basic methods for learning about the world. They are permitted to trust, and trust freely. But after the social reboot, that trust will not be narrowly confined and deeply conditioned by the particular people they happened to be raised by.

Such a profound deep-cleanse of one’s whole belief system seems to be what’s actually required to escape. Look at the many stories of people leaving cults and echo chambers

Take, for example, the story of Derek Black in Florida – raised by a neo-Nazi father, and groomed from childhood to be a neo-Nazi leader. Black left the movement by, basically, performing a social reboot. He completely abandoned everything he’d believed in, and spent years building a new belief system from scratch. He immersed himself broadly and open-mindedly in everything he’d missed – pop culture, Arabic literature, the mainstream media, rap – all with an overall attitude of generosity and trust.

It was the project of years and a major act of self-reconstruction, but those extraordinary lengths might just be what’s actually required to undo the effects of an echo-chambered upbringing.

we need to attack the root, the systems of discredit themselves, and restore trust in some outside voices.

Stories of actual escapes from echo chambers often turn on particular encounters – moments when the echo-chambered individual starts to trust somebody on the outside.

Black’s is case in point. By high school, he was already something of a star on neo-Nazi media, with his own radio talk-show. He went on to college, openly neo-Nazi, and was shunned by almost every other student in his community college. But then Matthew Stevenson, a Jewish fellow undergraduate, started inviting Black to Stevenson’s Shabbat dinners. In Black’s telling, Stevenson was unfailingly kind, open and generous, and slowly earned Black’s trust. This was the seed, says Black, that led to a massive intellectual upheaval – a slow-dawning realisation of the depths to which he had been misled

Similarly, accounts of people leaving echo-chambered homophobia rarely involve them encountering some institutionally reported fact. Rather, they tend to revolve around personal encounters – a child, a family member, a close friend coming out.

hese encounters matter because a personal connection comes with a substantial store of trust.

We don’t simply trust people as educated experts in a field – we rely on their goodwill. And this is why trust, rather than mere reliability, is the key concept

goodwill is a general feature of a person’s character. If I demonstrate goodwill in action, then you have some reason to think that I also have goodwill in matters of thought and knowledge.

f one can demonstrate goodwill to an echo-chambered member – as Stevenson did with Black – then perhaps one can start to pierce that echo chamber.

the path I’m describing is a winding, narrow and fragile one. There is no guarantee that such trust can be established, and no clear path to its being established systematically.

what we’ve found here isn’t an escape route at all. It depends on the intervention of another. This path is not even one an echo-chamber member can trigger on her own; it is only a whisper-thin hope for rescue from the outside.

But something else, something even more powerful, was going on. Many Trump supporters grew to hate his critics even more than they came to love Trump. For them, Trump’s detractors were not just wrong but wicked, obsessed with getting Trump, and hell-bent on destroying America

For Trump supporters to admit that they were wrong about him—and especially to admit that Trump’s critics had been right about him—would blow their circuits. If they ever do turn on Trump, they will admit it only to themselves and maybe a few close intimates

asking Trump supporters to focus on his moral turpitude is like asking them to stare into the sun. They can do it for a split second, and then they have to look away. The Trump years have been all about looking away.

Essentially, Lasch was attacking the notion, fashionable as Americans basked in their seeming victory over the Soviet Union in the Cold War, that history had a direction — and that one would be wise to stay on the “right side” of it.

Francis Fukuyama expressed a version of this triumphalist idea in his famous 1992 book, “The End of History and the Last Man,” in which he celebrated the notion that History with a capital “H,” in the sense of a battle between competing ideas, was ending with communism left to smolder on Ronald Reagan’s famous ash heap.

One of Martin Luther King Jr.’s most frequently quoted lines speaks to a similar thought, albeit in a different context: “T​he arc of the moral universe is long, but it bends toward justice.” Though he had read Lasch, Obama quoted that line often, just as he liked to say that so-and-so would be “on the wrong side of history” if they didn’t live up to his ideals — whether the issue was same-sex marriage, health policy or the Russian occupation of Crimea.

The memo goes on to list two sets of words: “Optimistic Positive Governing Words” and “Contrasting Words,” which carried negative connotations. One of the latter group was the word “liberal,” sandwiched between “intolerant” and “lie.”

So what’s the difference between a progressive and a liberal?To vastly oversimplify matters, liberal usually refers to someone on the center-left on a two-dimensional political spectrum, while progressive refers to someone further left.

But “liberal” has taken a beating in recent decades — from both left and right.

In the late 1980s and 1990s, Republicans successfully demonized the word “liberal,” to the point where many Democrats shied away from it in favor of labels like “conservative Democrat” or, more recently, “progressive.”

“Is the story of the 20th century about the defeat of the Soviet Union, or was it about two world wars and a Holocaust?” asked Matthew Sitman, the co-host of the “Know Your Enemy” podcast, which recently hosted a discussion on Lasch and the fascination many conservatives have with his ideas. “It really depends on how you look at it.”

None of this was an accident. In 1996, Representative Newt Gingrich of Georgia circulated a now-famous memo called “Language: A Key Mechanism of Control.”

The authors urged their readers: “The words and phrases are powerful. Read them. Memorize as many as possible.”

Republicans subsequently had a great deal of success in associating the term “liberal” with other words and phrases voters found uncongenial: wasteful spending, high rates of taxation and libertinism that repelled socially conservative voters.

Many on the left began identifying themselves as “progressive” — which had the added benefit of harking back to movements of the late 19th and early 20th centuries that fought against corruption, opposed corporate monopolies, pushed for good-government reforms and food safety and labor laws and established women’s right to vote.

Allies of Bill Clinton founded the Progressive Policy Institute, a think tank associated with so-called Blue Dog Democrats from the South.

Now, scrambling the terminology, groups like the Progressive Change Campaign Committee agitate on behalf of proudly left-wing candidates

In 2014, Charles Murray, the polarizing conservative scholar, urged readers of The Wall Street Journal’s staunchly right-wing editorial section to “start using ‘liberal’ to designate the good guys on the left, reserving ‘progressive’ for those who are enthusiastic about an unrestrained regulatory state.”

As Sanders and acolytes like Representative Alexandria Ocasio-Cortez of New York have gained prominence over the last few election cycles, many on the left-wing end of the spectrum have begun proudly applying other labels to themselves, such as “democratic socialist.”

To little avail so far, Kazin, the Georgetown historian, has been urging them to call themselves “social democrats” instead — as many mainstream parties do in Europe.“It’s not a good way to win elections in this country, to call yourself a socialist,” he said.