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“It is not the fact of liberty but the way in which liberty is exercised that ultimately determines whether liberty itself survives”*…

As the U.S. curdles and Ukraine twists in the wind, a look back.

In the summer of 1941, World War II has been raging for almost two years; still, of course, the U.S.– while it had emerged as the “armory” of the Allies– was a non-combatant. A majority of Americans favored continuing to “to help Britain, even at the risk of getting into the war.” But stoked by isolationists and Nazi sympathizers (like Henry Ford and Father Coughlin), a third of Americans were opposed.

Into this gamy situation, Dorothy Thompson, the first American journalist to be expelled from Nazi Germany, back in 1934, released a powerful– and ultimately very influential– essay in Harpers

It is an interesting and somewhat macabre parlor game to play at a large gathering of one’s acquaintances: to speculate who in a showdown would go Nazi. By now, I think I know. I have gone through the experience many times—in Germany, in Austria, and in France. I have come to know the types: the born Nazis, the Nazis whom democracy itself has created, the certain-to-be fellow-travelers. And I also know those who never, under any conceivable circumstances, would become Nazis.

It is preposterous to think that they are divided by any racial characteristics. Germans may be more susceptible to Nazism than most people, but I doubt it. Jews are barred out, but it is an arbitrary ruling. I know lots of Jews who are born Nazis and many others who would heil Hitler tomorrow morning if given a chance. There are Jews who have repudiated their own ancestors in order to become “Honorary Aryans and Nazis”; there are full-blooded Jews who have enthusiastically entered Hitler’s secret service. Nazism has nothing to do with race and nationality. It appeals to a certain type of mind.

It is also, to an immense extent, the disease of a generation—the generation which was either young or unborn at the end of the last war. This is as true of Englishmen, Frenchmen, and Americans as of Germans. It is the disease of the so-called “lost generation.”

Sometimes I think there are direct biological factors at work—a type of education, feeding, and physical training which has produced a new kind of human being with an imbalance in his nature. He has been fed vitamins and filled with energies that are beyond the capacity of his intellect to discipline. He has been treated to forms of education which have released him from inhibitions. His body is vigorous. His mind is childish. His soul has been almost completely neglected.

At any rate, let us look round the room…

[And so, in a way both enlightening and entertaining, she does, concluding…]

It’s fun—a macabre sort of fun—this parlor game of “Who Goes Nazi?” And it simplifies things—asking the question in regard to specific personalities.

Kind, good, happy, gentlemanly, secure people never go Nazi. They may be the gentle philosopher whose name is in the Blue Book, or Bill from City College to whom democracy gave a chance to design airplanes—you’ll never make Nazis out of them. But the frustrated and humiliated intellectual, the rich and scared speculator, the spoiled son, the labor tyrant, the fellow who has achieved success by smelling out the wind of success—they would all go Nazi in a crisis.

Believe me, nice people don’t go Nazi. Their race, color, creed, or social condition is not the criterion. It is something in them.

Those who haven’t anything in them to tell them what they like and what they don’t—whether it is breeding, or happiness, or wisdom, or a code, however old-fashioned or however modern, go Nazi. It’s an amusing game. Try it at the next big party you go to.

Eminently worth reading in full: “Who Goes Nazi?” from @harpers.bsky.social.

(And in a very effective testament to Thompson’s technique, Rusty Foster– who anchored a recent (R)D— asks “Who Goes AI?“)

See also: “The MAGA Theory of Art,” from Art in America, which reviews the roles that arts and design played in Nazi Germany, then compares them to what’s transpiring today. Also eminently worth reading in full; a sample:

There is a fable that persists in even themost respectable quarters, perhaps because it has retained its power to shock for more than half a century. Get any card-carrying liberal into a sufficiently confessional mood and she will tell you, sotto voce, that there was one domain in which the Nazis were perversely and chillingly formidable: the domain of the aesthetic…

… It is tempting, then, to take one look at the shambolic flailing of the Trump administration—the ham-handed takeover of the Kennedy Center, the tawdry gilding of the Oval Office, the AI slop, the women with too much filler, the men on too many steroids who boast about eating too much meat, the tweets with their erratic capitalization, the general air of carnival grotesquerie—and conclude, as Karl Marx did, that history repeats itself “first as tragedy, then as farce.” 

Of course, there are obvious continuities between MAGA and its antecedent on the Rhine. “Fascism is theater,” Jean Genet wrote of the Nazis, and it is hard to think of a politician with more theatrical flair than Trump, who adores Andrew Lloyd Webber and once harbored ambitions of becoming a Broadway producer. If Hitler fostered “the modern era’s first full-blown media culture,” as the film scholar Eric Rentschler claims, then Trump is surely responsible for the postmodern era’s first full-blown social media bonanza. He has the Führer’s instinct for pageantry, the Führer’s gift for glister and grandiosity.

Trump’s resentments, too, recall those of his forbears. In his study of Nazi art policy, the historian Jonathan Petropoulos writes that art collecting was important to top brass in the party because it served “as a means of assimilation into the traditional elite.” Much to their chagrin, their political ascendency had failed to confer the cultural capital they craved; now they had to seize prestige by other means. The MAGA gentry is more resigned; Trump and his lackeys more or less accept their status as philistines and content themselves with exacting revenge on the gatekeepers, yet their air of wounded arrivism is all too familiar.

Here it may seem that the similarities come to an end… While Trump has hosted motley rallies, and even made one deflating attempt at a military parade, he has yet to produce any of the disciplined displays that so effectively reduced the bodies of their participants to raw geometries. 

Above all, MAGA lacks the aesthetes who are dutifully trotted out as evidence of fascism’s scandalous refinement. Who is the MAGA Hugo Boss, the MAGA Leni Riefenstahl, the MAGA Knut Hamsun, the MAGA Gabriele D’Annunzio, the MAGA Ezra Pound? Mar-a-Lago has more in common with any suburban Cheesecake Factory than it does with the monumental austerities of Albert Speer… 

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* Dorothy Thompson

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As we cast our eyes around, we might recall that it was on this date in 1917 that the U.S. entered World War I, formally declaring war against Germany and entering the conflict in Europe, which had been raging since the summer of 1914. It ended in November of 1918– one of the deadliest conflicts in history, resulting in an estimated 15 to 22 million military and civilian casualties and genocide (and via the movement of large numbers of people, a major factor in the catastrophic Spanish flu pandemic that followed).

The Paris Peace Conference of 1919–1920 imposed settlements on the defeated powers. Under the Treaty of Versailles, Germany lost significant territories, was disarmed, and was required to pay large war reparations to the Allies. The dissolution of the Russian, German, Austro-Hungarian, and Ottoman empires led to new national boundaries and the creation of new independent states including Poland, Finland, the Baltic states, Czechoslovakia, and Yugoslavia.

The League of Nations was established to maintain world peace, but failed to manage instability during the interwar period, contributing to the outbreak of World War II in 1939. Indeed, those unresolved tensions in the aftermath of World War I created the conditions for the rise of fascism in Europe (and militarism in Japan).

President Woodrow Wilson asking Congress to declare war on Germany on April 2, 1917… it took four days. (source)

“In comics at their best, words and pictures are like partners in a dance, and each one takes turns leading”*…

Frank Bellew, “The ‘Fourth’ and the Pig.” Nick Nax for All Creation, July 1856 (source)

In his new book, Lost Literacies: Experiments in the 19th Century US Comic Strip, literary historian Alex Beringer demonstrates how the birth of the genre of printed comic long preceded the Sunday Funny Pages. He elaborates in conversation with Tim Brinkhof, who introduces the colloquy…

Most people consider the introduction of the Funny Pages in the late nineteenth century as the birthday of the “modern” American comic strip. Alex Beringer is not most people.

A literary historian and professor of English at the University of Montevallo, Beringer dates the history of comics earlier, to roughly the mid-1800s, a period of prolific and uninhibited experimentation. He came to this understanding by piecing together the medium’s fractured archaeological record, diving through myriad online resources and archives. In the middle of the nineteenth century, New York-based artists followed the lead of their French and Swiss colleagues, particularly Rodolphe Töpffer, the “Father of the Comic Strip,” exchanging single-image political cartoons and caricatures for multi-panel sequences that, many believe, for the first time enabled them to play around with characterization, worldbuilding, and—well—storytelling.

Coming decades before the standardization of speech bubbles and panel borders, these early American comics seem to have little in common with their modern, more streamlined counterparts; they featured sudden and purposefully jarring jump cuts reminiscent of the yet-to-be-invented film montage or musical notes instead of text. One comic artist tells a story through shadows behind the curtains of a window; another, with hieroglyphs the reader must decipher with the help of a legend.

“The audience for this first wave of US comic strips was strikingly sophisticated in its reception of this material,” Beringer writes in Lost Literacies: Experiments in the Nineteenth-Century US Comic Strip, which chronicles this oft-forgotten renaissance. Out from the Ohio State University Press, the book is one of hundreds of titles included in JSTOR’s Path to Open program, making scholarly books accessible online to wide audiences (read chapter four here, free of charge).

“The sense of flux—the idea that the visual language could turn on a dime—was often precisely the appeal,” Beringer observes in his chronicle of this oft-forgotten renaissance.

Foretelling the philosopher Martin Heidegger’s assertion that drawing is in itself a “form of knowing,” early comic strip artists and their consumers treated the medium as a philosophical exercise; Beringer quotes the observation by media scholars Hilary Chute and Patrick Jagoda that comics “enable an intense focus on how complexly woven stories unfold across time and space and, particularly, how these involve the reader…to generate meaning through interacting with, or themselves shaping, spatiotemporal form.”

While some early American artists blatantly plagiarized illustrations and formats that originated in France and Switzerland, others used them as a springboard, giving European drawings a decidedly American twist. For example, where Töpffer’s character Monsieur Vieux Bois (“Mr. Oldbuck”) satirized the European bourgeoisie, comics featuring his Yankee doppelganger, Jeremiah Oldpot (artist unknown), a New York tin merchant who leaves his family to prospect gold in California, often hinge on what Beringer defines as the contradiction between his “romantic view of himself as a rugged frontiersman and his attachment to consumer goods.”

Beringer discusses this and other critical facets of this period in comics history…

Read on for their fascinating exchange: “Lost Literacies Strips Down the Dawn of Comics,” from @jstordaily.bsky.social.

* Scott McCloud, in his wonderful Understanding Comics: The Invisible Art

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As we tell and show, we might ponder where all of this has led, recalling that it was on this date in 2007 that the then-latest entry in a comic-born franchise dropped: TMNT, the first animated entry in the Teenage Mutant Ninja Turtles film series, was released. The film (which was entirely computer animated), is set after the final defeat of their arch-enemy, the Shredder; the four Turtles — Leonardo, Raphael, Donatello, and Michelangelo (voiced respectively by James Arnold TaylorNolan NorthMitchell Whitfield, and Mikey Kelley) — having grown apart, reunite and overcome their faults to save the world from evil ancient creatures. It also features the voices of Chris EvansSarah Michelle GellarMakoKevin SmithPatrick Stewart, and Ziyi Zhang, with narration by Laurence Fishburne

TMNT ranked number one at the box office on its opening weekend, beating 300 (the top film of the previous two weeks), The Last MimzyShooterPrideThe Hills Have Eyes 2, and Reign Over Me, grossing $25.45 million over the weekend of March 23–25, 2007. That said, the film grossed (only) $95.8 million million worldwide, including $54 million domestically during its 91-day run in the 3,120 North American theaters… as the Rotten Tomatoes consensus read: “TMNT’s art direction is splendid, but the plot is non-existent and the dialogue lacks the irony and goofy wit of the earlier Ninja Turtles movies.”

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Written by (Roughly) Daily

March 23, 2026 at 1:00 am

“Mr. Hackett turned the corner and saw, in the failing light, at some distance, his seat”*…

Michael Wolf is an award-winning and widely-exhibited photographer famous for his documentation of big city architecture and life around the world, but especially in Hong Kong… Consider this series…

Much more at “Informal Seating Arrangements in Hong Kong” and more of Wolf’s other wonderful work on his site.

* Samuel Beckett, Watt

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As we grab a chair, we might keep our focus on Hong Kong: it was on this date in 1978 that Snake in Eagle’s Shadow was released. A  Hong Kong martial arts action comedy film, it was the debut of director  Yuen Woo-ping, and the breakthrough outing for its stars,  Jackie ChanHwang Jang-lee, and (Yuen Woo-ping’s real life father) Yuen Siu-tien.

The film is the story of Chien Fu (Jackie Chan), an orphan who is bullied at a kung fu school, but meets an old beggar, Pai Cheng-tien (Yuen Siu-tien), who becomes his sifu (teacher) and trains him in Snake Kung Fu. The film established Chan’s slapstick kung fu comedy style– which he further developed with Drunken Master, also directed by Yuen Woo-ping, released in the same year, and also starring Jackie Chan, Hwang Jang-lee and Yuen Siu-tien. Snake in Eagle’s Shadow (and Drunken Master) established the basic plot structure used in many, many martial arts films internationally since then.

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“Individuals may form communities, but only institutions can create a nation”*…

A black and white photograph showing a traffic scene with a police officer directing vehicles in an urban setting, surrounded by a few pedestrians and parked cars.
Traffic police in Rome, 1981.

Good institutions are social technologies that scale trust from personal relations to entire nations. Game theorist and social scientist Julien Lie-Panis unpacks the extraordinary phenomenon of human cooperation to explain how– and why– institutions work…

Every human society, from the smallest village to the largest nation, faces the same fundamental challenge: how to get people to act in the interests of the collective rather than their own. Fishermen must limit their catch so fish stocks don’t collapse. People must respect others’ property and safety. Citizens must pay taxes to fund roads, schools and hospitals. Left to pure self-interest, no community could endure; the bonds of collective life would quickly unravel.

The solutions we’ve devised are remarkably similar across cultures and centuries. We create rules. Then we appoint guardians to enforce them. Those who break the rules are punished. But there’s a problem with this approach, one that the Roman poet Juvenal identified nearly 2,000 years ago: Quis custodiet ipsos custodes? Who will guard the guards themselves?

Fisheries appoint monitors to prevent overfishing – but what if the monitors accept bribes to look the other way? Police officers exist to protect everyone’s property and safety – but who ensures that they don’t abuse their power? Governments collect taxes for public services – but how do we stop officials from diverting the funds to their own accounts?

Every institution faces the same fundamental paradox. Institutions foster cooperation by rewarding good behaviour and punishing rule-breakers. Yet they themselves depend on cooperative members to function. We haven’t solved the cooperation problem – we’ve simply moved it back one step. So why do institutions work at all? To understand this puzzle, we need to first ask what makes human cooperation so extraordinary in the natural world…

[Lie-Panis explores human cooperation, and examines the ways in which, while it follows the same evolutionary rules as cooperation among other species, humans have expanded the ambit of their coordination. He explains the ways in which institutions depend on “a present-future trade-off,” on its constituents’ patience as it works through problems. And he illustrates the ways in which constituents’ concerns with material security and social capital can generate that patience. He concludes…]

… Institutions can thus be understood as social technologies. We engineer them constantly, often without realising it. When neighbours organise to maintain a shared garden or playground, they appoint a small committee to manage funds and decisions. The arrangement works because it transforms the hard problem of coordinating dozens of contributors into the easier problem of trusting a few visible people who can be praised for diligence or blamed for misuse.

Like any tool, institutions cannot create what isn’t already there; they can only amplify existing cooperative capacity. Institutions rest on the conditions that make cooperation rational: material security and social capital. Where those conditions hold, reputation can work at scale. One layer of accountability supports the next, until cooperation extends far beyond the limits of familiarity. From the same force that binds vampire bats and coral reef fish, we have built cities, markets, and nations. Institutions are how trust is scaled to millions of strangers.

Eminently worth reading in full: “Guarding the Guardians,” from @jliep.bsky.social in @aeon.co.

Apposite (albeit a bit orthogonal): “Culture Is the Mass-Synchronization of Framings,” from @marco-giancotti.bsky.social.

* Benjamin Disraeli

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As we get along, we might recall that it was on this date in 1938 that a film poking fun at a plethora of institutions, Howard Hawks’ comedy Bringing Up Baby, premiered at the Golden Gate Theater in San Francisco. Featuring Cary Grant, Katherine Hepburn, and a leopard, the film earned good reviews but suffered at the box office. Indeed, Hepburn’s career fell into a slump– she was one of a group of actors labeled as “box office poison” by the Independent Theatre Owners of America– that she broke with The Philadelphia Story (again with Grant) in 1940.

As for Bringing Up Baby, the film did well when re-released in the 1940s, and grew further in popularity when it began to be shown on television in the 1950s. Today it is recognized as the authentic screwball classic that it is; it sits at 94% on Rotten Tomatoes, and ranks among “Top 100” on lists from the American Film Institute and the National Society of Film Critics.

Film poster for 'Bringing Up Baby' featuring Cary Grant and Katharine Hepburn, with an illustration of a leopard in the foreground.

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“[They] would think that the truth is nothing but the shadows cast by the artifacts.”*…

An abstract illustration depicting three robotic heads with neural network patterns, featuring a stylized cat made of interconnected lines projected above them.

How do AI models “understand” and represent reality? Is the inside of a vision model at all like a language model? As Ben Brubaker reports, researchers argue that as the models grow more powerful, they may be converging toward a singular “Platonic” way to represent the world…

Read a story about dogs, and you may remember it the next time you see one bounding through a park. That’s only possible because you have a unified concept of “dog” that isn’t tied to words or images alone. Bulldog or border collie, barking or getting its belly rubbed, a dog can be many things while still remaining a dog.

Artificial intelligence systems aren’t always so lucky. These systems learn by ingesting vast troves of data in a process called training. Often, that data is all of the same type — text for language models, images for computer vision systems, and more exotic kinds of data for systems designed to predict the odor of molecules or the structure of proteins. So to what extent do language models and vision models have a shared understanding of dogs?

Researchers investigate such questions by peering inside AI systems and studying how they represent scenes and sentences. A growing body of research has found that different AI models can develop similar representations, even if they’re trained using different datasets or entirely different data types. What’s more, a few studies have suggested that those representations are growing more similar as models grow more capable. In a 2024 paper, four AI researchers at the Massachusetts Institute of Technology argued that these hints of convergence are no fluke. Their idea, dubbed the Platonic representation hypothesis, has inspired a lively debate among researchers and a slew of follow-up work.

The team’s hypothesis gets its name from a 2,400-year-old allegory by the Greek philosopher Plato. In it, prisoners trapped inside a cave perceive the world only through shadows cast by outside objects. Plato maintained that we’re all like those unfortunate prisoners. The objects we encounter in everyday life, in his view, are pale shadows of ideal “forms” that reside in some transcendent realm beyond the reach of the senses.

The Platonic representation hypothesis is less abstract. In this version of the metaphor, what’s outside the cave is the real world, and it casts machine-readable shadows in the form of streams of data. AI models are the prisoners. The MIT team’s claim is that very different models, exposed only to the data streams, are beginning to converge on a shared “Platonic representation” of the world behind the data.

“Why do the language model and the vision model align? Because they’re both shadows of the same world,” said Phillip Isola, the senior author of the paper.

Not everyone is convinced. One of the main points of contention involves which representations to focus on. You can’t inspect a language model’s internal representation of every conceivable sentence, or a vision model’s representation of every image. So how do you decide which ones are, well, representative? Where do you look for the representations, and how do you compare them across very different models? It’s unlikely that researchers will reach a consensus on the Platonic representation hypothesis anytime soon, but that doesn’t bother Isola.

“Half the community says this is obvious, and the other half says this is obviously wrong,” he said. “We were happy with that response.”…

Read on: “Distinct AI Models Seem To Converge On How They Encode Reality,” from @quantamagazine.bsky.social.

Bracket with: “AGI is here (and I feel fine),” from Robin Sloan and “We Need to Talk About How We Talk About ‘AI’,” from Emily Bender and Nanna Inie.

* from Socrates “Allegory of the Cave,” in Plato’s Republic (Book VII)

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As we interrogate ideas and Ideas, we might recall that it was on this date that the fictional HAL 9000 computer became operational, according to Arthur C. Clarke’s 2001: A Space Odyssey., in which the artificially-intelligent computer states: “I am a HAL 9000 computer, Production Number 3. I became operational at the HAL Plant in Urbana, Illinois, on January 12, 1997.” (Kubrik’s 1968 movie adaptation put his birthdate in 1992.)

An illustration of the HAL 9000 computer panel featuring a large, red eye and the label 'HAL 9000' at the top.

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