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Twitter, which banned all political ads in 2019, said it believed that “political reach should be earned, not bought” and noted that it has also restricted and removed micro-targeting from other types of ads like cause-based ones.

Under the EU plan, political ads would have to be clearly labelled, and prominently display the name of the sponsor, with a transparency notice that explains how much the ad cost and where the funds to pay for it came from. The material would have to have a direct link to the vote or poll concerned.

Information must be available about the basis on which a person, or group of people, is being targeted by the advertisement, and what kind of amplification tools are being used to help the sponsor reach a wider audience. Ads would be banned if such criteria cannot be met.

Jourova told reporters that “the sensitive data that people decide to share with friends on social media cannot be used to target them for political purposes.” She said that “either companies like Facebook are able to publicly say who they are targeting, why and how or they will not be able to do it.”

Taking cues from Éric Rohmer’s summertime romantic comedy-dramas, Petzold fills much of the film with routine errands, trips to the beach, and aimless conversations over dinner—scenes of leisure and languor that appear plotless.

In Afire, Petzold revisits the question posed in Transit. Does the search for humanity in cataclysm—a pursuit that can take over one’s life—make us, conversely, less human?

With the events in the last act of Afire, Leon finally possesses “real experience” of the sort that can rescue him from his solipsistic writing. His writing and conduct outwardly improve at a rapid clip. The newly mature Leon is thoughtful and expansive, yet there is something garish about his transformation at the eleventh hour.

The characters of Afire confront a crisis that threatens to vacate all narratives of meaning, and Leon comes out the other end with a feeble text. It’s better than what came before, but can it begin to make sense of what has taken place? This time, the atrocity is not historical but natural, and Petzold is cynical about the redemptive potential of melodrama in an age in which disasters, if still largely caused by human decisions, unfold beyond the grasp of our control. If he wants Leon to scrutinize the stories he tells about himself, the ending of Afire suggests that there is a possibility he finds even more concerning: a future with no stories at all.

Until now, the assumption has been that they will answer truthfully based on their own experiences. In a post-ChatGPT world, though, academics can no longer make that assumption. Given the mostly anonymous, transactional nature of the assignment, it’s easy to imagine a worker signing up to participate in a large number of studies and outsource all their answers to a bot. This “raises serious concerns about the gradual dilution of the ‘human factor’ in crowdsourced text data,” the researchers write.

“This, if true, has big implications,” Clark writes. “It suggests the proverbial mines from which companies gather the supposed raw material of human insights are now instead being filled up with counterfeit human intelligence.”

A second, more worrisome study comes from researchers at the University of Oxford,  University of Cambridge, University of Toronto, and Imperial College London. It found that training AI systems on data generated by other AI systems — synthetic data, to use the industry’s term — causes models to degrade and ultimately collapse. While the decay can be managed by using synthetic data sparingly, researchers write, the idea that models can be “poisoned” by feeding them their own outputs raises real risks for the web

that’s a problem, because — to bring together the threads of today’s newsletter so far — AI output is spreading to encompass more of the web every day.“The obvious larger question,” Clark writes, “is what this does to competition among AI developers as the internet fills up with a greater percentage of generated versus real content.”

In The Verge, Vincent argues that the current wave of disruption will ultimately bring some benefits, even if it’s only to unsettle the monoliths that have dominated the web for so long. “Even if the web is flooded with AI junk, it could prove to be beneficial, spurring the development of better-funded platforms, he writes. “If Google consistently gives you garbage results in search, for example, you might be more inclined to pay for sources you trust and visit them directly.”

the glut of AI text will leave us with a web where the signal is ever harder to find in the noise. Early results suggest that these fears are justified — and that soon everyone on the internet, no matter their job, may soon find themselves having to exert ever more effort seeking signs of intelligent life.

Conservative politicians have long complained that Facebook, Twitter, YouTube and other social media companies unfairly remove or demote some conservative viewpoints.

Associations of internet companies and some constitutional rights groups said that the Texas law violated the First Amendment because it allowed the state to tell private businesses what kinds of speech they could or could not distribute.

Texas countered that Facebook, Twitter and the like don’t have such First Amendment protections because they are more like old telegraphs, telephone companies and home internet providers.

A federal appeals court recently deemed unconstitutional a Florida law passed last year that similarly tried to restrict social media companies’ discretion over speech.

written by Justice Samuel Alito that said: “It is not at all obvious how our existing precedents, which predate the age of the internet, should apply to large social media companies.”

These cases force us to wrestle with a fundamental question about what kind of world we want to live in: Are Facebook, Twitter and YouTube so influential in our world that the government should restrain their decisions, or are they private companies that should have the freedom to set their own rules?

In the middle of breaking news, when people are searching for information, some platforms can present more questions than answers. Although Wikipedia is not staffed with professional journalists, it is viewed as an authoritative source by much of the public, for better or for worse. Its entries are also used for fact-checking purposes by some of the biggest social platforms, adding to the stakes and reach of the work from Moore and others.

"Editing Wikipedia can absolutely take an emotional toll on me, especially when working on difficult topics such as the COVID-19 pandemic, mass shootings, terrorist attacks, and other disasters," he said.

"I like the instant gratification of making the internet better," he said.

"I want to direct people to something that is going to provide them with much more reliable information at a time when it's very difficult for people to understand what sources they can trust."

"It is considered cool if you're the first person who creates an article, especially if you do it well with high-quality contributions," said Rasberry.

To help patrol incoming edits and predict misconduct or errors, Wikipedia -- like Twitter -- uses artificial intelligence bots that can escalate suspicious content to human reviewers who monitor content.

Rasberry, who also wrote the Wikipedia page on the platform's fact checking processes, said Wikipedia does not employ paid staff to monitor anything unless it involves "strange and unusual serious crimes like terrorism or real world violence, such as using Wikipedia to make threats, plan to commit suicide, or when Wikipedia itself is part of a crime.

Rasberry said flaws range from a geographical bias, which is related to challenges with communicating across languages; access to internet in lower and middle income countries; and barriers to freedom of journalism around the world.

"I've got many other editors that I'm working with who will back me, so when we encounter vandalism or trolls or misinformation or disinformation, editors are very quick to revert inappropriate edits or remove inappropriate content or poorly sourced content," Moore said.

While "edit wars" can happen on pages, Rasberry said this tends to occur more often over social issues rather than news.

Wikipedia also publicly displays who edits each version of an article via its history page, along with a "talk" page for each post that allows editors to openly discuss edits.

"If no reliable sources can be found on a topic, Wikipedia should not have an article on it," the page said.

"If it was a paid advertising site or if it had a different mission, I wouldn't waste my time."

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

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

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

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

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

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

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

The tech leaders question claims by crypto evangelists that “crypto-assets are an innovative technology that is unreservedly good” and instead urge lawmakers to “take a critical, skeptical approach” toward crypto.

digital token bitcoin taking up a $562 billion chunk alone.

The signatories write that “not all innovation is unqualifiedly good” and say that “the history of technology is full of dead ends, false starts, and wrong turns.”

One aspect of the future that demographics can’t help predict are technological innovations.

About 70 percent of the world population is expected to live in urban areas by 2050, according to data from the United Nations.

The U.S. Energy Information Administration projects that the world will need about 28 percent more energy in 2040 than it did in 2015 based on the number of people in the country and consumption patterns; on our current trajectory, about 42 percent of electricity in the United States will come from renewable sources.

Technology has led us to expect that goods and services will be delivered at the push of a button, often within minutes.

Entrepreneurs, industry leaders and policymakers are already at work solving some of the problems that demographic data suggest are ahead of us, whether it’s figuring out how to incentivize farmers to sequester carbon, use insurance as a tool for reducing coal production, reinvent the motors that power heavy industry so they use less energy, or write laws that help govern code.

What about the metaverse? Or crypto technology? Or robots taking our jobs? Or A.I. taking over everything? Demographics can’t answer those questions. All of those things may happen, but life in 2041 may also look a lot like it does today — maybe with the exception of those flying cars.

In doing so, Mr. Moore and others have pushed climate change from the scientific realm into the political battles already raging over topics like voting rights, abortion and L.G.B.T.Q. issues.

“There is a coordinated effort to chill corporate engagement on these issues,” said Daniella Ballou-Aares

They have worked alongside a nonprofit organization that has run television ads, dispatched roaming billboard trucks and rented out a Times Square billboard criticizing BlackRock for championing what they call woke causes, including environmentalism.

That activism has often put companies at odds with the Republican Party, traditionally the ally of big business.

as pressure has grown from consumers and liberal groups to take action, corporations have warmed to the notion of using capital and markets to create a cleaner economy

When President Trump declared in 2017 that he would pull the United States from the Paris climate accord, more than 2,000 businesses and investors — including Apple, Amazon and Mars — signed a pledge to continue to work toward climate goals.

“Every company and every industry will be transformed by the transition to a net-zero world,” Mr. Fink wrote. “The question is, will you lead, or will you be led?”

And in January, Mr. Moore pulled about $20 million out of a fund managed by BlackRock because the firm has encouraged other companies to reduce emissions. BlackRock still manages several billion for West Virginia’s state retirement system. “We’re divesting from BlackRock because they’re divesting from us,” Mr. Moore said in an interview.

“These big banks are virtue signaling because they are woke,”

Mr. Fink of BlackRock has emerged as a main target of conservatives.

“We are perhaps the world’s largest investor in fossil fuel companies, and, as a long-term investor in these companies, we want to see these companies succeed and prosper,” BlackRock’s head of external affairs, Dalia Blass, wrote in a letter to Texas regulators in January.

“BlackRock is trying to have it all ways, acting like it is trying to please everyone.”

“ESG is a scam,” he said on Twitter on this month. “It has been weaponized by phony social justice warriors.” Shortly after that he shared a meme that declared an ESG score “determines how compliant your business is with the leftist agenda.”

“Climate change is not a financial risk that we need to worry about,” adding, “Who cares if Miami is six meters underwater in 100 years?”

That view is at odds with the findings of the world’s leading climate scientists. A major United Nations report warned last month that the world could reach a threshold by the end of this decade beyond which the dangers of global warming — including worsening floods, droughts and wildfires — will grow considerably. In 2021, there were 20 weather or climate-related disasters in the United States that each cost more than $1 billion in losses, according to the federal government.

“Our ambition is to be the leading bank supporting the global economy in the transition to net zero,” he said.

Without science, the modern world would not be modern at all, and we still have much to learn.

does not deal with supernatural explanations.

it is a path to understanding.

all science relies on testing ideas by figuring out what expectations are generated by an idea and making observations to find out whether those expectations hold true.

Accepted scientific ideas are reliable because they have been subjected to rigorous testing,

It relies on a system of checks and balances, which helps ensure that science moves in the direction of greater accuracy and understanding. This system is facilitated by diversity within the scientific community, which offers a broad range of perspectives on scientific ideas.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

As recently as 2000, Exxon Mobil advertised in The New York Times that “scientists have been unable to confirm” that the burning of oil, gas and coal caused climate change. However, a decade before that, scientists had confirmed that the planet had warmed by 0.5 degrees Celsius over the previous century because of fossil fuel-driven greenhouse gases.

Most oil and gas industry players have publicly supported the Paris climate agreement.

But overall, future mining and drilling plans around the world would produce more than twice as much oil, gas and coal through 2030 as would be needed if governments want to limit warming to 1.5 degrees Celsius (2.7 degrees Fahrenheit) above preindustrial levels

Forensic science, which drives the plots of movies and television shows, is accorded great respect by the public. And in the proper hands, it can provide persuasive insight. But in the wrong hands, it can trap innocent people in a vise of seeming inerrancy—and it has done so far too often. What’s more, although some forensic disciplines, such as DNA analysis, are reliable, others have been shown to have serious limitations.

Yezzo is not like Annie Dookhan, a chemist in a Massachusetts crime laboratory who boosted her productivity by falsifying reports and by “dry labbing”—that is, reporting results without actually conducting any tests.

Nor is Yezzo like Michael West, a forensic odontologist who claimed that he could identify bite marks on a victim and then match those marks to a specific person.

The deeper issue with forensic science lies not in malfeasance or corruption—or utter incompetence—but in the gray area where Yezzo can be found. Her alleged personal problems are unusual: Only because of them did the details of her long career come to light.

to the point of alignment; how rarely an analyst’s skills are called into question in court; and how seldom the performance of crime labs is subjected to any true oversight.

More than half of those exonerated by post-conviction DNA testing had been wrongly convicted based on flawed forensic evidence.

The quality of the work done in crime labs is almost never audited.

Even the best forensic scientists can fall prey to unintentional bias.

Study after study has demonstrated the power of cognitive bias.

Cognitive bias can of course affect anyone, in any circumstance—but it is particularly dangerous in a criminal-justice system where forensic scientists have wide latitude as well as some incentive to support the views of prosecutors and the police.

poptimism has intertwined with a variety of cultural omnivorism that encourages people to embrace the most popular fare from all genres. And this is where the algorithm comes in: it feeds people a steady drip of the most popular things and assures you you’re good for enjoying a diverse array of sameness.

But, and this is important, taste distinctions still matter. Social rank demands fealty to certain ideals of taste, even if artistry isn’t the taste that matters. “Omnivorism, for all of its rejections of ‘taste,’ still presupposes that cultural choice can change society,” Marx writes. “Consumerism can support allies, shame enemies, and deny prestige and financial support to oppressors.”

In the modern cultural landscape, “the hipster” has been replaced by what might be called “der kommisar,” and der kommisar has a few general rules for how to appreciate culture:

1.     Artists should create content that promotes progressive political views and reveals unconscious biases against oppressed groups.2.  Gatekeepers should work to represent minority voices by elevating minority artists.3.     Consumers should only buy artworks and goods with progressive values that are created by upright individuals.4.     Majority groups should never profit on styles or stories that originate within minority groups.5.     Critics should decanonize antiprogressive artists and their works, and question aesthetics associated with high-status distinction.*

“art should avoid being for art’s sake when social equity is at stake.” The quality of artistry matters less than supporting artists who think the right things and say the right things

I don’t think you can really understand much of the last decade or so of cultural writing—or, for that matter, cultural production—if you don’t understand this dynamic and how poptimism, omnivorism, and identity politics have all spun together to change, at the very least, how people talk publicly about the art they consume

Adobe ADBE 7.19%increase; green up pointing triangle, maker of the Photoshop, released a new tool in Firefly, its generative-AI image suite, that lets you change and add in parts of a photo with AI imagery. Earlier this month, Google showed off a new Magic Editor, initially for Pixel phones, that allows you to easily manipulate a scene. And people are all over TikTok posting the results of AI headshot services like Try It On.

After testing a mix of AI editing and generating tools, I just have one question for all of you armchair philosophers: What even is a photo anymore?

I have always wondered what I’d look like as a naval officer. Now I don’t have to. I snapped a selfie and uploaded it to Adobe Firefly’s generative-fill tool. One click of the Background button and my cluttered office was wiped out. I typed “American flag” and in it went. Then I selected the Add tool, erased my torso and typed in “naval uniform.” Boom! Adobe even found me worthy of numerous awards and decorations.

Astronaut, fighter pilot, pediatrician. I turned myself into all of them in under a minute each. The AI-generated images did have noticeable issues: The uniforms were strange and had odd lettering, the stethoscope seemed to be cut in half and the backgrounds were warped and blurry. Yet the final images are fun, and the quality will only get better. 

In FaceApp, for iOS and Android, I was able to change my frown to a smile—with the right amount of teeth! I was also able to add glasses and change my hair color. Some said it looked completely real, others who know me well figured something was up. “Your teeth look too perfect.”

The real reality-bending happens in Midjourney, which can turn text prompts into hyper-realistic images and blend existing images in new ways. The image quality of generated images exceeds OpenAI’s Dall-E and Adobe’s Firefly.

it’s more complicated to use, since it runs through the chat app Discord. Sign up for service, access the Midjourney bot through your Discord account (via web or app), then start typing in prompts. My video producer Kenny Wassus started working with a more advanced Midjourney plugin called Insight Face Swap-Bot, which allows you to sub in a face to a scene you’ve already made. He’s become a master—making me a Game of Thrones warrior and a Star Wars rebel, among other things.

We’re headed for a time when we won’t be able to tell how manipulated a photo is, what parts are real or fake.

when influential messages are conveyed through images—be they news or misinformation—people have reason to know a photo’s origin and what’s been done to it.

Firefly adds a “content credential,” digital information baked into the file, that says the image was manipulated with AI. Adobe is pushing to get news, tech and social-media platforms to use this open-source standard so we can all understand where the images we see came from.

So, yeah, our ability to spot true photos might depend on the cooperation of the entire internet. And by “true photo,” I mean one that captures a real moment—where you’re wearing your own boring clothes and your hair is just so-so, but you have the exact right number of teeth in your head.

Time and again, we learned there was never a grand plan or big ideas—just weapons-grade ego, incompetence, thin skin, and prejudice against those who don’t revere him.

Despite all the incredible, damning reporting coming out of Twitter and all of Musk’s very public mistakes, many people still refuse to believe—even if they detest him—that he is simply incompetent.

What is amazing about the current moment is that, despite how ridiculous it all feels, a fundamental tenet of reality and logic appears to be holding true: If you don’t know what you’re doing or don’t really care, you’ll run the thing you’re in charge of into the ground, and people will notice.

And so the moment feels too dumb and too on the nose to be real and yet also very real—kind of like all of reality in 2022.

I don’t really know where any of this will lead, but one interesting possibility is that Musk gets increasingly reactionary and trollish in his politics and stewardship of Twitter.

Leaving the politics aside, from a basic customer-service standpoint this is generally an ill-advised way for the owner of a company to treat an elected official when that elected official wishes to know why your service has failed them. The reason it is ill-advised is because then the elected official could tweet something like what Senator Markey tweeted on Sunday: “One of your companies is under an FTC consent decree. Auto safety watchdog NHTSA is investigating another for killing people. And you’re spending your time picking fights online. Fix your companies. Or Congress will.”

It seems clear that Musk, like any dedicated social-media poster, thrives on validation, so it makes sense that, as he continues to dismantle his own mystique as an innovator, he might look for adoration elsewhere

Recent history has shown that, for a specific audience, owning the libs frees a person from having to care about competency or outcome of their actions. Just anger the right people and you’re good, even if you’re terrible at your job. This won’t help Twitter’s financial situation, which seems bleak, but it’s … something!

Bankman-Fried, the archetype, appealed to people for all kinds of reasons. His narrative as a philanthropist, and a smart rationalist, and a stone-cold weirdo was something people wanted to buy into because, generally, people love weirdos who don’t conform to systems and then find clever ways to work around them and become wildly successful as a result.

Bankman-Fried was a way that a lot of people could access and maybe obliquely understand what was going on in crypto. They may not have understood what FTX did, but they could grasp a nerd trying to leverage a system in order to do good in the world and advance progressive politics. In that sense, Bankman-Fried is easy to root for and exciting to cover. His origin story and narrative become more important than the particulars of what he may or may not be doing.

the past few weeks have been yet another reminder that the smug-nerd-genius narrative may sell magazines, and it certainly raises venture funding, but the visionary founder is, first and foremost, a marketing product, not a reality. It’s a myth that perpetuates itself. Once branded a visionary, the founder can use the narrative to raise money and generate a formidable net worth, and then the financial success becomes its own résumé. But none of it is real.

Adversarial journalism ideally questions and probes power. If it is trained on technology companies and their founders, it is because they either wield that power or have the potential to do so. It is, perhaps unintuitively, a form of respect for their influence and potential to disrupt. But that’s not what these founders want.

even if all tech coverage had been totally flawless, Silicon Valley would have rejected adversarial tech journalism because most of its players do not actually want the responsibility that comes with their potential power. They want only to embody the myth and reap the benefits. They want the narrative, which is focused on origins, ambitions, ethos, and marketing, and less on the externalities and outcomes.

Looking at Musk and Bankman-Fried, it would appear that the tech visionaries mostly get their way. For all the complaints of awful, negative coverage and biased reporting, people still want to cheer for and give money to the “‘smug nerds building castles in the sky.’” Though they vary wildly right now in magnitude, their wounds are self-inflicted—and, perhaps, the result of believing their own hype.

That’s because, almost always, the smug-nerd-genius narrative is a trap. It’s one that people fall into because they need to believe that somebody out there is so brilliant, they can see the future, or that they have some greater, more holistic understanding of the world (or that such an understanding is possible)

It’s not unlike a conspiracy theory in that way. The smug-nerd-genius narrative helps take the complexity of the world and make it more manageable.

Putting your faith in a space billionaire or a crypto wunderkind isn’t just sad fanboydom; it is also a way for people to outsource their brain to somebody else who, they believe, can see what they can’t

the smug nerd genius is exceedingly rare, and, even when they’re not outed as a fraud or a dilettante, they can be assholes or flawed like anyone else. There aren’t shortcuts for making sense of the world, and anyone who is selling themselves that way or buying into that narrative about them should read to us as a giant red flag.

The political and methodological stresses within the historical profession are intensified by economic troubles. For a long time, but especially since the economic crisis of 2008, university students have turned away from the humanities, preferring to major in fields that seem to offer more certain and lucrative employment. Consequently, academic jobs in the humanities and especially in history have become radically more precarious for younger faculty—even as universities have sought to meet diversity goals in their next-generation hiring by expanding offerings in history-adjacent specialties, such as gender and ethnic studies.

The result has produced a generational divide. Younger scholars feel oppressed and exploited by universities pressing them to do more labor for worse pay with less security than their elders; older scholars feel that overeager juniors are poised to pounce on the least infraction as an occasion to end an elder’s career and seize a job opening for themselves. Add racial difference as an accelerant, and what was intended as an interesting methodological discussion in a faculty newsletter can explode into a national culture war.

One of the greatest American Africanists was the late Philip Curtin. He wrote one of the first attempts to tally the exact number of persons trafficked by the transatlantic slave trade. Upon publication in 1972, his book was acclaimed as a truly pioneering work of history. By 1995, however, he was moved to protest against trends in the discipline at that time in an article in the Chronicle of Higher Education:I am troubled by increasing evidence of the use of racial criteria in filling faculty posts in the field of African history … This form of intellectual apartheid has been around for several decades, but it appears to have become much more serious in the past few years, to the extent that white scholars trained in African history now have a hard time finding jobs.

Much of academia is governed these days by a joke from the Soviet Union: “If you think it, don’t speak it. If you speak it, don’t write it. If you write it, don’t sign it. But if you do think it, speak it, write it, and sign it—don’t be surprised.”

Yet this silence has consequences, too. One of the most unsettling is the displacement of history by mythmaking

mythmaking is spreading from “just the movies” to more formal and institutional forms of public memory. If old heroes “must fall,” their disappearance opens voids for new heroes to be inserted in their place—and that insertion sometimes requires that new history be fabricated altogether, the “bad history” that Sweet tried to warn against.

If it is not the job of the president of the American Historical Association to confront those questions, then whose is it?

Sweet used a play on words—“Is History History?”—for the title of his complacency-shaking essay. But he was asking not whether history is finished, done with, but Is history still history? Is it continuing to do what history is supposed to do? Or is it being annexed for other purposes, ideological rather than historical ones?

Advocates of studying the more distant past to disturb and challenge our ideas about the present may accuse their academic rivals of “presentism.”

In real life, of course, almost everybody who cares about history believes in a little of each option. But how much of each? What’s the right balance? That’s the kind of thing that historians do argue about, and in the arguing, they have developed some dismissive labels for one another

Those who look to the more recent past to guide the future may accuse the other camp of “antiquarianism.”

The accusation of presentism hurts because it implies that the historian is sacrificing scholarly objectivity for ideological or political purposes. The accusation of antiquarianism stings because it implies that the historian is burrowing into the dust for no useful purpose at all.

In his mind, he was merely reopening one of the most familiar debates in professional history: the debate over why? What is the value of studying the past? To reduce the many available answers to a stark choice: Should we study the more distant past to explore its strangeness—and thereby jolt ourselves out of easy assumptions that the world we know is the only possible one?

Or should we study the more recent past to understand how our world came into being—and thereby learn some lessons for shaping the future?

The August edition of the association’s monthly magazine featured, as usual, a short essay by the association’s president, James H. Sweet, a professor at the University of Wisconsin at Madison. Within hours of its publication, an outrage volcano erupted on social media. A professor at Cornell vented about the author’s “white gaze.”

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

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

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

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

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

It’s a brilliantly balanced format

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

The first comprises the deconstructionists and decolonialists

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

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

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

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