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“It’s a demonstration of this very cool idea that you have remnants of previous thoughts still rattling around in your head, and you bind the representation of what’s happening now to the fading embers of those old thoughts,

They watched a series of nouns appear on a computer screen, one after another, and after a brief distraction recalled as many of the words as they could, in any order. Repeated trials, with different lists of words, showed a predictable effect: The participants tended to remember the words in clusters, beginning with one and recalling those that were just before or after.

This pattern, which scientists call the contiguity effect, is similar to what often happens in the card game concentration, in which players try to identify pairs in a grid of cards lying face-down.

remembering a fact (a broken table) recalls a scene (dancing), which in turn brings to mind more facts — like the other people who were there — and so on.

“When you activate one memory, you are reactivating a little bit of what was happening around the time the memory was formed,” Dr. Kahana said, “and this process is what gives you that feeling of time travel.”

There might be desks, cushions, or benches arranged in rows or circles—however the teachers want them, as not every classroom will follow a template. Each classroom will be set up based on what is necessary to meet learning objectives. But schools will prioritize configuring classes to inspire learning first and foremost, and, where appropriate, reflect the diversity of environments that students are exposed to outside a school setting.

Students will have beautiful spaces that make them feel good to be at school—with art, living plants, music where appropriate, comfortable seating, and fast internet access.

Windows that open are a nice feature, as are clean bathrooms and individual desks that can be rearranged

Smaller schools and smaller rooms seem to work better than larger schools and larger rooms.  

My experience as a high-school principal taught me to never spend too much time worrying about the “small stuff.”

High-school classrooms will be designed by students themselves, providing breakout space for group work and more private areas for individual work and studying. High-school classrooms will reflect the transition that students are facing, allowing for independence but also providing a nurturing environment for curiosity.

There will be areas where students can post ideas to help make the learning environment more engaging and fun. The classroom will also be tailored to the topic, but all will have interactive stations where hands-on learning can be experienced by all students.

In the future, we won’t have “classrooms.” The enemy of the future of the classroom has arguably been that phrase: “the future of the classroom.” It locks us into a model of believing students will be sorted by age and sit in a room together with one teacher in the front.

Form will follow function, and if one of the key principles of public education is to instill an appreciation for democracy, then classrooms will be arranged so that students are equals with one another

(not some in the front, others in the back), and so that students are active participants in learning, not passive recipients of teachers’ knowledge.

Whereas the traditional lecture hall connotes hierarchy, placing desks in a circle suggests students should be learning to debate and become decision makers. Within the circle, desks will also be clustered in small groups of four to encourage collaboration among students.

There will be a large open space that will serve as a community gathering spot. The classroom will have big windows to let a lot of natural light shine through. The room will be colorful without being obnoxious—colors will be blues, greens, whites, and yellows.

It’s also important to look at the appropriate role of technology in the classroom. Technology can be a powerful tool, but it must be implemented with the intention of enhancing educator-facilitated learning, not replacing i

The Vatican is facing a sharp drop in visitors to the Vatican Museums, which bring in €40 million in profit in a normal year and are a key revenue source for the church. Vatican officials declined to comment on a report in an Italian newspaper saying the museums had experienced a 60% drop in attendance

In her new book, “Saving Us,” which comes out in September, Hayhoe sets out to answer these questions. Chapter by chapter, she lays out effective strategies for communicating about the urgency of climate change across America’s political divide.

She breaks out categories—originally defined by her colleague Anthony Leiserowitz, at the Yale Program on Climate Change Communication, and other researchers—of attitudes toward global warming: alarmed, concerned, cautious, disengaged, and doubtful. Only the remaining eight per cent of Americans fall into the final category, dismissive.

In the past decade, though, as the scope of the crisis became clear, Democrats began pressing for policies to cut U.S. reliance on fossil fuels, and Republicans were reluctant to commit. Energy companies stepped into the stalemate and began aggressively lobbying politicians, and injecting doubt into the public discourse, to stop such policies from taking effect. “Industry swung into motion to activate the political system in their favor,” Hayhoe said.

“In a study of fifty-six countries, researchers found people’s opinions on climate change to be most strongly correlated not with education and knowledge, but rather with ‘values, ideologies, worldviews and political orientation,’ ”

One salient problem is an aspect of human behavior that researchers have termed “solution aversion.” Solving the climate crisis will require ending our reliance on fossil fuels, which people believe would involve major sacrifice.

“If there’s a problem and we’re not going to fix it, then that makes us bad people,” Hayhoe said. “No one wants to be a bad person.” So instead people are happy to seize on excuses not to take action.

Most are what she calls “science-y sounding objections, and, in the U.S., religious-y sounding objections.”

Hayhoe often hears that the Earth has always heated and cooled according to its own intrinsic cycle, or that God, not humanity, controls the fate of the planet. These objections can then harden into aspects of our political identity.

Hayhoe eschews the term “climate denier,” saying that she has “seen it applied all too often to shut down discussion rather than encourage it.”

So much of this is not about the facts,” Leiserowitz told me later. “It’s about trusting the person the facts come from.”

research has shown her that dismissives are nearly impossible to influence. They are also few enough that it should be possible to build political will around fighting climate change by focussing on others.

“It’s not about the loudest voices,” Hayhoe told me. “It’s about everyone else who doesn’t understand why climate change matters or what they can do about it.”

Leiserowitz told me. His work has revealed, for example, that conversations about the climate tend to be more effective if both speakers share a core value or an aspect of their identity. The most effective climate communicators to conservatives are often people of faith, members of the military, and Republicans who are nevertheless committed to the climate.

“That’s why it’s so important to seek out like-minded groups: winter athletes, parents, fellow birders or Rotarians, or people who share our faith.”

There is a long history within evangelicalism of advocating “creation care,” the belief that God charged humanity with caring for the earth. The Evangelical Environmental Network, which Hayhoe advises, argues that evangelicals should follow a “Biblical mandate to care for creation,”

Hayhoe believes that emphasizing the care of plants and animals is less effective than highlighting the potential dangers for our fellow human beings. “It’s not about saving the planet—it’s about saving us,”

One of her communication strategies is to talk to people about their own observations, which help them connect the realities of their lives to the abstraction of climate change.

With farmers, Hayhoe avoids using the term “climate change,” since the phenomenon is frequently seen as a liberal hoax. “We use the words ‘climate variability’ and ‘long-term trends,’ ” she said.

Scott’s work served another purpose. By showing success with his climate-conscious farming techniques, he might persuade other farmers to join in, potentially becoming the center of what Hayhoe calls a cluster. “I preach to my friends about how well it’s doing,” he said.

I don’t accost people in diners,” she wrote me, later. “I wait until they come to me.”

“As recently as 2008, former speaker of the house Newt Gingrich, a Republican, and current House speaker Nancy Pelosi, a Democrat, cozied up on a love seat in front of the U.S. Capitol to film a commercial about climate change,”

She then directed the conversation to Republican-led free market initiatives to combat climate change by putting a price on carbon emissions. Companies passed their costs onto the rest of us by putting the carbon into the atmosphere, she told Dale, “but what if they had to pay for it? What if, when someone’s house burned down because of a forest fire, the companies making money from selling carbon had to pay a homeowner back?” Dale responded, “Well, I’m in favor of that.”

“It’s so important to educate kids about what’s going on, not to frighten them but to show them they can have a hand in solutions.”

Through the years, she’s developed a system to manage trolls. “It’s been trial and error, error, error,” she said. She now responds once, offering a link to resources.

Most fire back with gendered insults, often plays on her last name, after which she blocks the sender.

ayhoe doesn’t urge guilt on her listeners. She only urges that we change our trajectory. “That’s all repentance means,” she said. “To turn.”

the most important aspect of fighting climate change is pushing for policies that will cut our reliance on fossil fuels. She urges the alarmed to get involved in politics, beginning with lobbying politicians at the local and state level.

she’d come across a book, “Scientists as Prophets: A Rhetorical Genealogy,” that examined the role of prophets in society, beginning with the oracle at Delphi, stretching through the Old Testament, and culminating in the work of modern-day scientists.

Studies show that early adopters help shift the norms of their communities.

By Eliza GriswoldSeptember 16, 2021

The third idea is that faith in science can serve as a comprehensive belief system that gives meaning to life, as well. as a sense of well-being, morality, and even immortality.

the spirit behind this scientific ideal inspired several men to believe that the reliable and predictable knowledge that could be obtained about stars and atoms could also be obtained about human behavior.

They held in common two beliefs to which T echnopoly is deeply indebted: that the natural sciences provide a method to unlock the secrets of both the human heart and the direction of social life; that society can be rationally and humanely reorganized according to principles that social science will uncover. It is with these men that the idea of "social engineering" begins and the seeds of Scientism are planted.

Scientists do strive to be empirical and where possible precise, but it is also basic to their enterprise that they maintain a high degree of objectivity, which means that they study things independently of what people think or do about them.

The status of social-science methods is further reduced by the fact that there are almost no experiments that will reveal a social-science theory to be false.

Freud, could not imagine how the book could be judged exemplary: it was science or it was nothing. Well, of course, Freud was wrong. His work is exemplary-indeed, monumental-but scarcely anyone believes today that Freud was doing science, any more than educated people believe that Marx was doing science, or Max Weber or Lewis Mumford or Bruno Bettelheim or Carl Jung or Margaret Mead or Arnold Toynbee. What these people were doing-and Stanley Milgram was doing-is documenting the behavior and feelings of people as they confront problems posed by their culture.

the stories of social r~searchers are much closer in structure and purpose to what is called imaginative literature; that is to say, both a social researcher and a novelist give unique interpretations to a set of human events and support their interpretations with examples in various forms. Their interpretations cannot be proved or disproved but will draw their appeal from the power of their language, the depth of their explanations, the relevance of their examples, and the credibility of their themes.

Both the novelist and the social researcher construct their stories by the use of archetypes and metaphors.

Why do such social researchers tell their stories? Essentially for didactic and moralistic purposes. These men and women tell their stories for the same reason the Buddha, Confucius, Hillel, and Jesus told their stories (and for the same reason D. H. Lawrence told his).

Moreover, in their quest for objectivity, scientists proceed on the assumption that the objects they study are indifferent to the fact that they are being studied.

Unlike science, social research never discovers anything. It only rediscovers what people once were told and need to be told again.

Only in knowing ~omething of the reasons why they advocated education can we make sense of the means they suggest. But to understand their reas.ons we must also understand the narratives that governed their view of the world. By narrative, I mean a story of human history that gives meaning to the past, explains the present, and provides guidance for the future.

In Technopoly, it is not Scientism 159 enough to say, it is immoral and degrading to allow people to be homeless. You cannot get anywhere by asking a judge, a politician, or a bureaucrat to r~ad Les Miserables or Nana or, indeed, the New Testament. Y 01.i must show that statistics have produced data revealing the homeless to be unhappy and to be a drain on the economy. Neither Dostoevsky nor Freud, Dickens nor Weber, Twain nor Marx, is now a dispenser of legitimate knowledge. They are interesting; they are ''.worth reading"; they are artifacts of our past. But as for "truth," we must tum to "science."

In Technopoly, it is not enough for social research to rediscover ancient truths or to comment on and criticize the moral behavior of people. In T echnopoly, it is an insult to call someone a "moralizer." Nor is it sufficient for social research to put forward metaphors, images, and ideas that can help people live with some measure of understanding and dignity.

That is why the commonplaces that people fear death and that children who come from stable families valuing scholarship will do well in school must be announced as "discoveries" of scientific enterprise. In this way, social resear~hers can see themselves, and can be seen, as scientists, researchers without bias or values, unburdened by mere opinion. In this way, social policies can be claimed to rest on objectively determined facts.

given the psychological, social, and material benefits that attach to the label "scientist," it is not hard to see why social researchers should find it hard to give it up.

Our social "s'cientists" have from the beginning been less tender of conscience, or less rigorous in their views of science, or perhaps just more confused about the questions their procedures can answer and those they cannot. In any case, they have not been squeamish about imputing to their "discoveries" and the rigor of their procedures the power to direct us in how we ought rightly to behave.

When the new technologies and techniques and spirit of men like Galileo, Newton, and Bacon laid the foundations of natural science, they also discredited the authority of earlier accounts of the physical world, as found, for example, in the great tale of Genesis. By calling into question the truth of such accounts in one realm, science undermined the whole edifice of belief in sacred stories and ultimately swept away with it the source to which most humans had looked for moral authority. It is not too much to say, I think, that the desacralized world has been searching for an alternative source of moral authority ever since.

This, then, is what I mean by Scientism.

It is the desperate hope, and wish, and ultimately the illusory belief that some standardized set of procedures called "science" can provide us with an unimpeachable source of moral authority, a suprahuman basis for answers to questions like "What is life, and when, and why?" "Why is death, and suffering?" 'What is right and wrong to do?" "What are good and evil ends?" "How ought we to think and feel and behave?

To ask of science, or expect of science, or accept unchallenged from science the answers to such questions is Scientism. And it is Technopoly's grand illusion.

In the institutional form it has taken in the United States, advertising is a symptom of a world-view 'that sees tradition as an obstacle to its claims. There can, of course, be no functioning sense of tradition without a measure of respect for symbols. Tradition is, in fact, nothing but the acknowledgment of the authority of symbols and the relevance of the narratives that gave birth to them. With the erosion of symbols there follows a loss of narrative, which is one of the most debilitating consequences of Technopoly' s power.

What this means is that somewhere near the core of Technopoly is a vast industry with license to use all available symbols to further the interests of commerce, by devouring the psyches of consumers.

In the twentieth century, such metaphors and images have come largely from the pens of social historians and researchers. ·Think of John Dewey, William James, Erik Erikson, Alfred Kinsey, Thorstein Veblen, Margaret Mead, Lewis Mumford, B. F. Skinner, Carl Rogers, Marshall McLuhan, Barbara Tuchman, Noam Chomsky, Robert Coles, even Stanley Milgram, and you must acknowledge that our ideas of what we are like and what kind of country we live in come from their stories to a far greater extent than from the stories of our most renowned novelists.

social idea that must be advanced through education.

The point is that cultures must have narratives and will find them where they will, even if they lead to catastrophe. The alternative is to live without meaning, the ultimate negation of life itself.

by definition, there can be no education philosophy that does not address what learning is for. Confucius, Plato, Quintilian, Cicero, Comenius, Erasmus, Locke, Rousseau, Jefferson, Russell, Montessori, Whitehead, and Dewey--each believed that there was some transcendent political, spiritual, or

There are those who believe--as did the great historian Arnold Toynbee-that without a comprehensive religious narrative at its center a culture must decline. Perhaps. There are, after all, other sources-mythology, politics, philosophy, and science; for example--but it is certain that no culture can flourish without narratives of transcendent orjgin and power.

What story does American education wish to tell now? In a growing Technopoly, what do we believe education is for?

nto this void comes the Technopoly story, with its emphasis on progress without limits, rights without responsibilities, and technology without cost. The T echnopoly story is without a moral center. It puts in its place efficiency, interest, and economic advance. It promises heaven on earth through the conveniences of technological progress. It casts aside all traditional narratives and symbols that· suggest stability and orderliness, and tells, instead, of a life of skills, technical expertise, and the ecstasy of consumption. Its purpose is to produce functionaries for an ongoing Technopoly.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

it’s worth acknowledging that adhering to these necessary rules cuts against some core aspects of human nature. I’m of the opinion that people should not bring their “whole self” to work — no one owes an employer that — but it’s also impossible to bring none of your personal self to work.

There are good reasons that both formal and informal boundaries are a necessity in the workplace and academia

Secondly as Stuart Ritchie points out in this excellent article, to date the evidence assembled by proponents of the social media theory like Jonathan Haidt and Jean Twenge, has shown correlations not causal relationships. Yes, it seems that young people who use social media a lot have worse mental health, but that could easily be because young people with worse mental health choose to use social media more!  

recently I’ve shifted to thinking it probably is a major cause for three reasons:

1.       I can’t think of anything else that fits. Other suggested causes just don’t work.

Social media does fit, the big increase in take up maps well on to the mental health data and it happened everywhere in rich countries at the same time. The most affected group, teenage girls, are also the ones who report that social media makes them more anxious and body conscious in focus groups

It is of course true that correlation doesn’t prove anything but if there’s only one strongly related correlation it’s pretty likely there’s a relationship.

2.       There is no doubt that young people are spending a huge amount of time online now. And that, therefore, must have replaced other activities that involve being out with friends in real life. Three quarters of 12 year olds now have a social media profile and 95% of teenagers use social media regularly. Over half who say they’ve been bullied, say it was on social media.

  We finally have the first evidence of a direct causal relationship via a very clever US study using the staged rollout of Facebook across US college campuses to assess the impact on mental health. Not only does it show that mental illness increased after the introduction of Facebook but it also shows that it was particularly pronounced amongst those who were more likely to view themselves unfavourably alongside their peers due to being e.g. overweight or having lower socio-economic status. It is just one study but it nudges me even further towards thinking this a major cause of the problem.

I have blocked my (12 year old) twins from all social media apps and will hold out as long as possible. The evidence isn’t yet rock solid but it’s solid enough to make me want to protect them as best I can.

hose promises have also fueled anxiety over how people will be able to compete for jobs outsourced to eerily refined machines or trust the accuracy of what they see online.

Officials with the San Francisco lab said GPT-4’s “multimodal” training across text and images would allow it to escape the chat box and more fully emulate a world of color and imagery, surpassing ChatGPT in its “advanced reasoning capabilities.”

A person could upload an image and GPT-4 could caption it for them, describing the objects and scene.

AI language models often confidently offer wrong answers because they are designed to spit out cogent phrases, not actual facts. And because they have been trained on internet text and imagery, they have also learned to emulate human biases of race, gender, religion and class.

GPT-4 still makes many of the errors of previous versions, including “hallucinating” nonsense, perpetuating social biases and offering bad advice. It also lacks knowledge of events that happened after about September 2021, when its training data was finalized, and “does not learn from its experience,” limiting people’s ability to teach it new things.

Microsoft has invested billions of dollars in OpenAI in the hope its technology will become a secret weapon for its workplace software, search engine and other online ambitions. It has marketed the technology as a super-efficient companion that can handle mindless work and free people for creative pursuits, helping one software developer to do the work of an entire team or allowing a mom-and-pop shop to design a professional advertising campaign without outside help.

it could lead to business models and creative ventures no one can predict.

sparked criticism that the companies are rushing to exploit an untested, unregulated and unpredictable technology that could deceive people, undermine artists’ work and lead to real-world harm.

the company held back the feature to better understand potential risks. As one example, she said, the model might be able to look at an image of a big group of people and offer up known information about them, including their identities — a possible facial recognition use case that could be used for mass surveillance.

OpenAI researchers wrote, “As GPT-4 and AI systems like it are adopted more widely,” they “will have even greater potential to reinforce entire ideologies, worldviews, truths and untruths, and to cement them or lock them in.”

“We can agree as a society broadly on some harms that a model should not contribute to,” such as building a nuclear bomb or generating child sexual abuse material, she said. “But many harms are nuanced and primarily affect marginalized groups,” she added, and those harmful biases, especially across other languages, “cannot be a secondary consideration in performance.”

OpenAI said its new model would be able to handle more than 25,000 words of text, a leap forward that could facilitate longer conversations and allow for the searching and analysis of long documents.

OpenAI developers said GPT-4 was more likely to provide factual responses and less likely to refuse harmless requests

Duolingo, the language learning app, has already used GPT-4 to introduce new features, such as an AI conversation partner and a tool that tells users why an answer was incorrect.

The company did not share evaluations around bias that have become increasingly common after pressure from AI ethicists.

GPT-4 will have competition in the growing field of multisensory AI. DeepMind, an AI firm owned by Google’s parent company Alphabet, last year released a “generalist” model named Gato that can describe images and play video games. And Google this month released a multimodal system, PaLM-E, that folded AI vision and language expertise into a one-armed robot on wheels: If someone told it to go fetch some chips, for instance, it could comprehend the request, wheel over to a drawer and choose the right bag.

The systems, though — as critics and the AI researchers are quick to point out — are merely repeating patterns and associations found in their training data without a clear understanding of what it’s saying or when it’s wrong.

GPT-4, the fourth “generative pre-trained transformer” since OpenAI’s first release in 2018, relies on a breakthrough neural-network technique in 2017 known as the transformer that rapidly advanced how AI systems can analyze patterns in human speech and imagery.

The systems are “pre-trained” by analyzing trillions of words and images taken from across the internet: news articles, restaurant reviews and message-board arguments; memes, family photos and works of art.

Giant supercomputer clusters of graphics processing chips are mapped out their statistical patterns — learning which words tended to follow each other in phrases, for instance — so that the AI can mimic those patterns, automatically crafting long passages of text or detailed images, one word or pixel at a time.

In 2019, the company refused to publicly release GPT-2, saying it was so good they were concerned about the “malicious applications” of its use, from automated spam avalanches to mass impersonation and disinformation campaigns.

Altman has also marketed OpenAI’s vision with the aura of science fiction come to life. In a blog post last month, he said the company was planning for ways to ensure that “all of humanity” benefits from “artificial general intelligence,” or AGI — an industry term for the still-fantastical idea of an AI superintelligence that is generally as smart as, or smarter than, the humans themselves.