Posts Tagged ‘learning’
“You live and learn. At any rate, you live.”*…
… and to the extent that we care about our democracy, that’s an issue.
In an article based on his recent Sakurada-Kai Foundation Oxbridge Lecture at Keio University, Tokyo, John Dunn argues that our democracies depend on our picking up the pace of learning. The abstract:
There cannot be a coherent democratic theory because democracy is not a determinate topic. Representative democracy is a relatively modern regime form. It now needs rehabilitation because so many instances have performed poorly for so long. Representative democracy is now also an aging regime. As a type of state, it is subject to the territorial contentiousness and contested legitimacy of any state. It claims its legitimacy from iterative popular choice, but the plausibility of that claim is increasingly strained by the drastic disparities in life chances reproduced through the property systems it protects. The inherent difficulty for citizens to judge how to advance their collective interests is aggravated by the recent transformation of the information economy. In the cumulative damage inflicted by climate change it faces a deadlier peril than any previous regime and one which only a citizenry that can enlighten itself in time can reasonably hope to nerve itself to meet…
There follows a fascinating– and provocative– elaboration of this thesis in which Dunn considers the history of democracy and the alternatives with which it has, since its inception, vied. He concludes in a bracing fashion…
… The varieties of autocracy which will be on offer wherever the rest of the world has the opportunity to take them up will be without exception the reverse of enlightened – instrumentally and compulsively bound to the extremes of obscurantism, Darkness as a full-on fideist commitment, deliberate self-blinding as a navigational strategy. Move fast, break lots, and never pause to inspect the wreckage.
Representative democracy has recently proved itself a poor structure for collective enlightenment, but the case for it depends on its at least not precluding that, its being still open to making the attempt, and responding to what it can contrive to learn. The most optimistic vision of democracy in action has always seen it as an opportunity for collective self-education on the content of shared goods and the means to achieve them. If that is scarcely a realist picture of what it has ever been, at least it is an image of the right shape. It is too late to ask who will educate the educators. At this point we must educate ourselves together and heed the lessons of that education or we must and will die – not just each of us one by one, as we were always fated to do, but soon enough all of us and for ever…
Eminently worth reading in full: “Can Democracy be Rehabilitated?“
Apposite: “How American Democracy Fell So Far Behind,” from Steven Levitsky and Daniel Ziblatt (gift article– and source of the image above)
* Douglas Adams, Mostly Harmless
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As we devote ourselves to democracy, we might spare a thought for Ludwig van Beethoven; he died on this date in 1827. A crucial figure in the transition between the Classical and Romantic eras in Western music, he remains one of the most famous and influential of all composers. His best-known compositions include 9 symphonies, 5 concertos for piano, 32 piano sonatas, and 16 string quartets. He also composed other chamber music, choral works (including the celebrated Missa Solemnis), a single opera (Fidelio), and numerous songs.
Relevantly to the piece above…
Beethoven admired the ideals of the French Revolution, so he dedicated his third symphony to Napoleon Bonaparte… until Napoleon declared himself emperor. Beethoven then sprung into a rage, ripped the front page from his manuscript and scrubbed out Napoleon’s name…
Beethoven’s temper and Symphony No. 3 ‘Eroica’

“Tell me to what you pay attention and I will tell you who you are”*…

Before the attention economy consumed our lives, “pursuit tests” devised by the US military coupled man to machine with the aim of assessing focus under pressure. D. Graham Burnett explores these devices for evaluating aviators, finding a pre-history of the laboratory research that has relentlessly worked to slice and dice the attentional powers of human beings…
We worry about our attention these days — nearly all of us. There is something. . . wrong. We cannot manage to do what we want to do with our eyes and minds — not for long, anyway. We keep coming back to the machines, to the screens, to the notifications, to the blinking cursor and the frictionless swipe that renews the feed.
An ethnographer from Mars, moving among us (would we even notice?), might have trouble understanding our complaint: “Trouble with their attention? They stare at small slabs of versicolor glass all day! Their attentive powers are. . . sublime!”
And that misunderstanding rather sharpens the point: we don’t have any problem at all with the forms of attention that involve remaining engaged with, and responsive to, machines. We are amazing at the click and tap of durational vigilance to this or that stimulus, presented at the business end of a complex device. Our uncanny and immersive cybernetic attention is a defining characteristic of the age. Our human attention — our ability to be with ourselves and with others, our ability to receive the world with our minds and senses, our ability to daydream, read a book uninterrupted, or watch a sunset — well, many of us are finding it increasingly difficult to remember what that might even mean.
This isn’t really an accident. Over the last century or so, a series of elaborate programs of laboratory research have worked to slice and dice the attentional powers of human beings. Their aim? To understand the operational capacities of those who would be asked to shoot down airplanes, monitor radar screens, and otherwise sit at the controls of large and expensive machines. Seated in front of countless instruments, experimental subjects were asked to listen and look, to track and trigger. Psychologists stood by with stopwatches, quantifying our cybernetic capacities, and seeking ways to extend them. For those of us who have come of age in the fluorescence of the “attention economy”, it is interesting to look back and try to catch glimpses of the way that the movement of human eyeballs came under precise scrutiny, the way that machine vigilance became a field of study. We know now that the mechanomorphic attention dissected in those laboratories is the machine attention that is relentlessly priced in our online lives — to deleterious effects.
You could say that this process began with the fascinating and now mostly forgotten tool known as the “pursuit test”. Part steampunk videogame, part laboratory snuff-flick, the pursuit test staged and restaged the integration of man and machine across the first decades of the twentieth century…
Fascinating– and timely: “Cybernetic Attention– All Watched over by Machines We Learned to Watch,” from @publicdomainrev.bsky.social. Eminently worth reading in full.
* Jose Ortega y Gasset
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As we untangle engagement, we might send thoughtful birthday greetings to a man whose work influenced the endeavors described in the piece featured above, Hermann Ebbinghaus; he was born on this date in 1850. A psychologist, he pioneered the experimental study of memory and discovered the learning curve, the forgetting curve, and the spacing effect.
“Nature doesn’t feel compelled to stick to a mathematically precise algorithm; in fact, nature probably can’t stick to an algorithm.”*…
Just over 30 years ago, my GBN partner Stewart Brand and I were discussing the then-new web affordance Pointcast, an active screensaver that displayed news and other information tailored to a user’s expressed interests and delivered live over the Internet. It was big news at the time; and while it failed, it prefigured the emergence of the algorithms that today feed “preferences” that we don’t even need (nor for that matter have the opportunity) to articlulate.
The problem, we mused, is that a system like that becomes a trap, one that (by simply satisfying expressed desires) impicitly works against discovery of the altogether new, of the thing we didn’t yet know might interest (or benefit) us. A system like that pulls us more deeply into holes instead of helping us explore broader horizons– it is biased against discovery, against learning (in its broadest sense). Our most important discoveries are often the books somewhere on the library shelp near the one we were seeking, the article in the (old print) newpaper next to the one to which we were intially drawn.
The answer, we imagined, wasn’t to skip such systems altogether; they can play a useful role; rather, it was to introduce a complementary “dial-up randomness”– to create ways to feed ourselves a stream of surprises.
Benj Edwards reports on just such an affordance…
[Recently] a New York-based app developer named Isaac Gemal [here] debuted a new site called WikiTok, where users can vertically swipe through an endless stream of Wikipedia article stubs in a manner similar to the interface for video-sharing app TikTok.
It’s a neat way to stumble upon interesting information randomly, learn new things, and spend spare moments of boredom without reaching for an algorithmically addictive social media app. Although to be fair, WikiTok is addictive in its own way, but without an invasive algorithm tracking you and pushing you toward the lowest-common-denominator content. It’s also thrilling because you never know what’s going to pop up next.
WikiTok, which works through mobile and desktop browsers, feeds visitors a random list of Wikipedia articles—culled from the Wikipedia API—into a vertically scrolling interface. Despite the name that hearkens to TikTok, there are currently no videos involved. Each entry is accompanied by an image pulled from the corresponding article. If you see something you like, you can tap “Read More,” and the full Wikipedia page on the topic will open in your browser.
For now, the feed is truly random, and Gemal is currently resisting calls to automatically tailor the stream of articles to the user’s interests based on what they express interest in.
“I have had plenty of people message me and even make issues on my GitHub asking for some insane crazy WikiTok algorithm,” Gemal told Ars. “And I had to put my foot down and say something along the lines that we’re already ruled by ruthless, opaque algorithms in our everyday life; why can’t we just have one little corner in the world without them?”
The breadth of topics you’ll encounter on WikiTok is staggering, owing to the wide range of knowledge that Wikipedia covers…
… Gemal posted the code for WikiTok on GitHub, so anyone can modify or contribute to the project. Right now, the web app supports 14 languages, article previews, and article sharing on both desktop and mobile browsers. New features may arrive as contributors add them. It’s based on a tech stack that includes React 18, TypeScript, Tailwind CSS, and Vite.
And so far, he is sticking to his vision of a free way to enjoy Wikipedia without being tracked and targeted. “I have no grand plans for some sort of insane monetized hyper-calculating TikTok algorithm,” Gemal told us. “It is anti-algorithmic, if anything.”
WikiTok cures boredom in spare moments with wholesome swipe-ups: “Developer creates endless Wikipedia feed to fight algorithm addiction,” @benjedwards.com in @arstechnica.com.
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As we supersize serendipity, we might recall that it was on this date in 1967 that a remarkably warm and open new neighbor moved into the neighborhood: Misteroger’s Neighborhood premeired nationally on public television stations.
Fred McFeely Rogers was born in Latrobe, Pennsylvania on March 20, 1928. After earning his bachelor’s degree in music from Rollins College in 1951, he began working for NBC for a short time in New York. In 1953, he began working at the new public television station WQED for the show, The Children’s Corner where he learned that wearing sneakers were a lot quieter on the set than his dress shoes.
In 1961, Rogers moved to Toronto, Ontario to work on a new 15-minute show called Misterogers for CBC Television. In 1966, Rogers went back to WQED to create Misteroger’s Neighborhood.
In 1970, the show was renamed Mister Rogers’ Neighborhood. The series ended again in 1976 but was picked up three years later when Rogers felt as if his work speaking to children wasn’t done. The show continued from 1979 through 2001. Mr. Rogers passed away on February 27, 2003.
In 2011, PBS created an animated “spinoff” of the show called Daniel Tiger’s Neighborhood featuring the characters Rogers had created in his “land of make-believe”; and in 2019, Tom Hanks portrayed Rogers in the film, A Beautiful Day in the Neighborhood,” a role that earned him an Oscar nomination.
“The more that you read, the more things you will know. The more that you learn, the more places you’ll go.”*…
The end of the year approaches, and thoughts turn to retrospectives. In what has become a (Roughly) Daily tradition, today’s edition features a year-end recap from the estimable Tom Whitwell, who shares a full deck of fascinating things he learned in 2024. For example…
6. The London Underground has a distinct form of mosquito, Culex pipiens f. Molestus, genetically different from above-ground mosquitos, and present since at least the 1940s. [Katharine Byrne & Richard A Nichols]
7. Ozempic is a modified, synthetic version of a protein discovered in the venomous saliva of the Gila monster, a large, sluggish lizard native to the United States. [Scott Alexander]
22. In 2022, 55% of Macy’s income came from credit cards rather than retail sales. That’s fairly normal for US department stores. [Pan Kwan Yuk]
29. You can buy 200 real human molars for $900. [B for Bones, via Lauren]
32. In 1800, 1 in 3 people on earth were Chinese. Today, it’s less than 1 in 5. [Our World in Data, via Boyan Slat]
42. n the 2020s, over 16% of movies have colons in the title (Like Spider-Man: Homecoming), up almost 300% since the 1990s. [Daniel Parris]
46. Between the 1920s and 1950s, millions of ‘enemies of the people’ — often educated elites — were sent to prison camps in the Soviet Union. Today, the areas around those camps are more prosperous and productive than similar areas. [Toews & Vézina]
Many more fascinating factoids at: “52 things I learned in 2024,” from @TomWhitwell.
Previous lists: 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023… and sprinkled throughout the December postings in (R)D over the years.
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As we forage, we might recall that on this date in 1968 Marvin Gaye’s version of “I Heard It Through the Grapevine” was in the middle of its seven-week occupancy of the #1 spot on Billboard’s Hot 100.
A year earlier, Gladys Knight and the Pips had had a hit with the tune (#1 on the R&B chart; #2 on the Hot 100). Gaye’s version overtook its predecessor and became the biggest hit single on the Motown family of labels up to that point. The Gaye recording has since become an acclaimed soul classic. In 1998 the song was inducted into the Grammy Hall of Fame for “historical, artistic and significant” value.







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