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    <title>Trauma is a Time Machine: A Cinematic Primer with Kwasu D. Tembo - YouTube</title>
    <dc:date>2026-06-08T05:32:55+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=n1-hhZUcGJY</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["If you could go back in time, would you change the past, even if it meant changing who you are? Is existing in time itself traumatic? Is power over time a cinematic endeavour, and what makes a good director an even better time traveller? This week on Acid Horizon we're joined by Kwasu D. Tembo to talk about his latest book Trauma in 21st-Century Time Travel Cinema, discussing the philosophy of time travel in films such as Primer, Timecrimes, and Predestination; as well as how the experience of time transcendentally conditions the structure of the psyche.

Buy Baz's book, Trauma in 21st-Century Time Travel Cinema
Being (a)Part: https://www.bloomsbury.com/uk/trauma-in-21stcentury-time-travel-cinema-9781978768734/

<blockquote>Kwasu D. Tembo unites approaches from disciplines as wide-ranging as physics, mathematics, cinema, philosophy, and media theory to pose critical questions concerning time, change, and (un)becoming in contemporary time-travel cinema.

In his analyses of 21st-century cinematic time-travel narratives, Tembo situates human life in time as a palimpsest, with time acting as scriptor and stylus. A time machine, then, functions as a fantasy that allows for this pace to be slowed or accelerated so as to appear entirely suspended, with the potentials of the “Now” (re)opened to the traveler.

As the manipulation of time lends the traveler increased agency-and perhaps the conditions to see themselves more clearly amid a claustrophobic sea of information and content-Tembo contends that we must carefully consider the psycho-emotional affectivity of both the motivations and the potentially traumatic consequences of such a jarring shift in perspective. The results lend critical insight into human understandings of how we experience time and, ultimately, what these understandings permit and disallow in terms of how (it is) to be in time.</blockquote>

Phasmid Press: https://phasmidpress.org/ "]]></description>
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<item rdf:about="https://pluralistic.net/2026/06/05/defining-humanity/">
    <title>Pluralistic: Refining humanity (05 Jun 2026) – Pluralistic: Daily links from Cory Doctorow</title>
    <dc:date>2026-06-07T00:57:07+00:00</dc:date>
    <link>https://pluralistic.net/2026/06/05/defining-humanity/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["One of the best ways to evaluate your own understanding of a subject is to attempt to explain it to someone else. Through explaining things, we discover how much of the "totally obvious" world is actually full of ambiguity, mystery and contradiction.

There's a great bit in Rowan Atkinson's historical sitcom Blackadder that illustrates this principle. In "Ink and Incapability" Blackadder and friends have accidentally burned the only copy of Samuel Johnson's original dictionary of the English language. To cover up their mistake, they decide that they will recreate the dictionary themselves. However, they founder on the first word they try to define, "A":

<blockquote>Blackadder: Let's start at the beginning, shall we? First: 'A.' How would you define 'A'?

    Prince George: Ohh…'A' (continues this in background). Oh, I love this! I love this! Quizzies! Erm, hang on, it’s coming. Ooh, crikey, erm, oh yes, I’ve got it!

    B: What?

    PG: Well, it doesn’t really mean anything, does it?

    B: Good. So we're well on the way, then. "'A'; impersonal pronoun; doesn't really mean anything."</blockquote>

I mean, what does "A" mean? The Oxford English Dictionary has more than a dozen definitions, and just the first one runs to more than 1,500 words:

https://archive.org/details/the-oxford-english-dictionary-all-volumes_202208/The%20Oxford%20English%20Dictionary%20Volume%201%20-%20A%20to%20B/page/n25/mode/2up

Now, normal life involves a lot of explaining things to other people. You have to explain your problems to customer service reps, who have to explain why they can't solve those problems to you. You need to explain to your loved ones why you want to leave your toothbrush in the shower, and they have to explain why they hate having your toothbrush in the shower. These explanation-exchanges teach you as much as they teach the person you're locked in dialog with. The reasons for leaving your toothbrush in the shower may seem totally obvious to you, and your partner's inability to understand this reveals the assumptions you've never even considered.

For the past four decades, an increasing proportion of the population have spent an increasing proportion of their lives explaining things to machines that have no assumptions or shared context: computers. What we call "programming a computer" is really "breaking down a thing that seems obvious to you into increasingly simple instructions that will be followed to the letter."

Computers are like the genies of legend, bloody-minded literalists who will do exactly what you say, in the way that is perversely furthest from what you mean. To get a computer to do anything, you must first understand it to a degree that far exceeds the understanding needed to explain something to any other human, even a small child.

To take just one example: yesterday, I was on a plane, and the seatback video started cycling through its video-on-demand offerings. All of the movie titles that began with "the" were rewritten to put "the" at the end of the title (for example, "The Sting" was written as "Sting, The"). It's obvious why the system's designer had done this: we expect to find movies whose titles begin with "The" alphabetized under their second word ("The Sting" should appear between "Star Wars" and "Story of a Love Affair"; not between "The Godfather" and "The Untouchables").

I remember when I learned this from my elementary school's teacher-librarian, when I was seven and my class got a tutorial on the school library's card catalog. The librarian explained this principle to us in a matter of minutes, as part of a longer set of instructions, and still, it stuck with me forever.

But here we are, 48 years later, and we still haven't standardized a way to get computers to grasp this foundational principle of alphabetization. Many different databases handle this, to be sure, but it's so inconsistent across so many platforms that someone at the head-end of the video distribution system that feeds American Airlines' VOD system decided, "Fuck it, I'm just gonna put the 'The' at the end of these titles."

Computers are stupid, in other words, which means that the people who program them have to have smarts enough for both of them. Unfortunately for our entire species and civilization, the software industry has historically valued skill at writing efficient and reliable software over writing software that adequately reflects reality. There is an entire genre of lists that illustrate the problem with this; the "falsehoods programmers believe" lists:

https://github.com/kdeldycke/awesome-falsehood

From "names of people" and "street addresses"; from "prices" to "time"; from "email addresses" to "phone numbers"; the "awesome falsehoods" lists are awesome because they reveal how much subtlety and complexity is lurking in these seemingly simple and intuitive concepts. This subtlety and complexity might never emerge through the process of trying to teach a person about them, but when you try to teach a computer about them, you have to confront them in all their awesome fuggliness.

That's because humans have context, agency and flexibility. Sure, the person who designs a form with a blank for "name" might never have met a Malagasy person whose first name is Randriamananjararadofabesata, but in the pre-digital world, when Madagascar Slim met a public official who had to transcribe his name onto a paper form, that official could simply draw an arrow in the margin next to the "name" blank, turn the form over, and write out all 28 characters on the reverse:

https://en.wikipedia.org/wiki/Madagascar_Slim

Computers can't do this. If the programmer doesn't know about Malagasy first names, the computer doesn't know about them either, and the only person who can "teach" the computer about these names is a programmer with access to the code for the database, who has to manually alter the code, compile it, and distribute it to everyone who uses it.

This is partly why digitization has been accompanied by a rise in people asserting that they exist on spectrums rather than in binaries. There were always people whose names, genders, races, and other biographic "immutables" changed, or failed to fit within the blanks on the forms. When those people's realities ran up against failures in the system's abstractions, they could petition a bureaucrat to turn the paper over and write an explanatory note, or to write really small to fill in a blank:

https://pluralistic.net/2023/02/02/nonbinary-families/#red-envelopes

Getting a human official to turn the paper over and write something that didn't fit in the blank is a personal challenge. It requires that a subject convince the person who controls the form to make an exception. This isn't always easy, but officials on the front lines necessarily deal with reality, and they can't get their jobs done unless they're capable of interpreting the necessarily incomplete procedures they operate under to fit things as they really are.

But a computer doesn't have any agency or context or flexibility. If the computer says your name isn't valid, you can't argue the computer into accepting it. The only way to get a digital world to acknowledge your existence is to campaign for systemic change. A trans person might (with great difficulty, to be sure) convince the regional registrar to white-out an old X on one "gender" box and mark a new X in the other box. But the only way to make that change in a software system that has been programmed to treat the "gender" field as immutable is to change society itself.

In this way, computers are machines for teaching us what we don't know about ourselves. They require that we interrogate and faithfully recreate our personal tacit knowledge, and they require that our societies interrogate their tacit presumptions as well. When you are forced to turn your tacit knowledge into explicit knowledge, you're also forced to confront how many broken assumptions lurk inside your reasoning. At best, it's a clarifying process.

Computers don't just clarify what we know and how we organize our society: they also clarify what we are. There are lots of things that we have supposed that a computer would never do, because we believed that these things required something that only humans could do.

Take chess: there are more possible chess games than there are hydrogen atoms in the universe, so brute-forcing chess by running all possible games is a technological impossibility. The best human chess players do something we don't quite understand, mixing their recollections of previous games with rules-of-thumb about the best strategies, with "creativity" (whatever that is) that lets them spontaneously develop new strategies. We can easily get a computer to memorize all the known-good chess sequences and all the rules of thumb, but we don't know what "creativity" is, so we can't encode it as a series of instructions.

But thanks to breakthroughs in machine learning and its successor, "deep learning," we have created chess-playing software that can beat every human, partly by assaying gambits that we would term "creative" if they originated with a human player.

What we make of this new fact is controversial. For many people (myself included), this is a refinement: it tells me that behaviors that are indistinguishable from "creativity" can, at least some of the time, be created by mechanical processes, and the mere fact that a machine does something that appears "creative" doesn't mean that machines are human.

For others, the fact that a mechanical system can evince a behavior that we would call "creative" in a human doesn't mean that we defined "creativity" too broadly, it means that we defined "human" too narrowly, and now we have made a machine that is, at least partially, a person.

I think this is the wrong conclusion to draw, for reasons that Ted Chiang sets out with luminous brilliance in a recent Atlantic article entitled "No, Artificial Intelligence Is Not Conscious":

https://www.theatlantic.com/philosophy/2026/06/no-artificial-intelligence-is-not-conscious/687378/

(If you're hitting the paywall on that one and you're on Firefox, you can try my favorite trick: switch to "Reader Mode" and hit "reload" – your mileage may vary.)

For all the reasons Chiang articulates, I think that drawing the "personhood" line to include machines is a technical mistake, but it's worse than that. Admitting machines to the "personhood" club is a tactical mistake, on par with the mistake we made when we admitted corporations to the personhood club. We should absolutely consider expanding personhood to incorporate living things, including animals and ecosystems, but at the same time, we must purge these dead, artificial constructs from the club:

https://pluralistic.net/2026/04/15/artificial-lifeforms/#moral-consideration

There is a way in which the recognition of new capabilities in machines parallels the recognition of new capabilities in animals other than ourselves. When those animals manage to do things that we once thought were the exclusive province of humans, we (should) take that as an opportunity to refine our conception of humanity. We're not "the animals that use tools" or "the animals that make plans" or "the animals that recognize themselves in mirrors," because there are other animals that do those things. We are an "animal that uses tools"; not the animal that does so.

Likewise, if we thought that some activity was unique to humans, or to living beings, and we manage to get a machine to replicate that activity, we should revise our view of the activity – not our view of the machine. Creative breakthroughs in chess are not "a thing that requires a human mind," they're "things that can be done by human minds and by machines."

Edsger Dijkstra once famously asked "can a submarine swim?"

https://www.cs.utexas.edu/~EWD/transcriptions/EWD08xx/EWD898.html

Submarines and fish and humans and dolphins all propel themselves through water by different means. But when an animal swims, it does something that is different from what a submarine does. The submarine has no intention, while (complex multicellular) animals swim to pursue goals. Building machines that propel themselves through water is very useful, but it's not the same thing as creating life. In some ways, it's better than creating life: for one thing, we owe other living things moral consideration that is not due to machines. Harnessing a machine to accomplish our own goals is more morally clear than controlling living things to achieve those goals. By the same token, creating machines that can do some of the tasks that we ask of other humans can be the superior moral course. I'd rather have a machine remove mines from a minefield than getting humans to do it.

But beyond this moral relief, creating machines is a fantastic way to learn more about ourselves – making explicit our tacit knowledge, our implicit social assumptions, and the limitations of our conception of what sets us apart from the rest of the universe.

One way in which AI is exceptional is in how it undermines this principle. Conventional software techniques struggled to produce a program that could identify objects in photographs. It turns out that defining all the visual correlates of "cat" is even harder than defining the letter "A." Deep learning techniques solved this previous insoluble problem by relieving us of the job of making explicit all the implicit factors that we deploy when distinguishing an image of a "cat" from an image of a "dog" or a "tiger" (or a "tractor").

Instead of forcing humans to engage in introspection until we'd made a list of every factor we use to identify cat pictures, we simply identified pictures of cats and fed them to a program that tried to find the commonalities among them. The more pictures we fed to that program, the better it got at identifying cats. Today, we have programs that can reliably distinguish an image of a cat from an image of a tiger cub!

This represents a major breakthrough in the power of computers to perform useful work for us, but it's also a huge regression in computers' role in forcing us to make our tacit thought processes explicit through systematic introspection. That's probably fine: we didn't create computers to make us introspect, we created them to do useful work for us. All things considered, it might be better to have genies who grant our wishes according to the spirit of our words, not their letter.

AI may not force us to render our implicit thoughts as explicit instructions, but it absolutely forces us to reconsider and narrow the realm of the numinous. Our own creativity is still delightful and important, but the fact that this squishy, amazing process can (sometimes) be replicated by procedural machines changes the definition of living things. We're "a thing that can produce creative outcomes" but not "the things that can produce creative outcomes." The machines aren't being creative (any more than a submarine is swimming) but they're outputting things that we used to only achieve by means of creativity.

An AI that does something that used to require creativity is fulfilling my favorite of Brian Eno and Peter Schmidt's Oblique Strategies: "Be the first person to not do something that no one else has not done before":

https://stoney.sb.org/eno/oblique.html

Just as bosses fantasize about AI bringing about a worksite without workers, and Zuckerberg is trying to build social media without socializing, and politicians want a bureaucracy without bureaucrats, we can sometimes use AI to produce creative outcomes without creativity:

https://pluralistic.net/2026/05/27/unnecessariat/#rubbuts-stole-my-jerb

That isn't to say that AI art is any good. AI may produce things that are aesthetically interesting, but it can't produce things that mean anything:

https://pluralistic.net/2026/06/02/must-we-pretend/

But art isn't the only realm that we apply creativity to. There are plenty of outcomes that we've always believed we couldn't bring about without applying creativity. AI – like all software – is making us realize that an ingredient we once deemed uniquely essential turns out to have substitutes. AI can sometimes accomplish things without us explaining how we do them. That relieves us of a useful but difficult chore – but in so doing, it forces us (yet again!) to revisit what sorts of things are needed to do the things that matter to us, and therefore, what makes us special."]]></description>
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    <title>Twenty Five Years After Imagined Worlds, What World Are We Living In? | THR Web Features | Web Features | The Hedgehog Review</title>
    <dc:date>2026-06-07T00:41:06+00:00</dc:date>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["Our surprisingly Napoleonic twenty-first century."

[via: https://hedgehogreview.com/web-features/thr/posts/twenty-five-years-after-imagined-worlds-what-world-are-we-living-in ]

"Erik J. Larson

Erik J. Larson is author of The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do (Harvard University Press, 2021). His forthcoming book is Machineland: How the Myth of Artificial Intelligence Has Shaped the 21st Century So Far.

***

This year marks the twenty-fifth anniversary of famed scientist and author Freeman Dyson’s Imagined Worlds. The book, fashioned from a series of lectures Dyson gave in Jerusalem in 1995, is partly a historical discussion about why technologies—some familiar, like nuclear power, others not, like airships—succeed or fail in what he called a Darwinian process of selection. It’s also an enjoyable piece of futurism. He delighted in the possible, and in Imagined Worlds he speculated boldly about space colonization and an entirely new species evolved from future humans. Dyson was aware of the difficulties of prediction—Imagined Worlds fails to anticipate the rise of the Internet or World Wide Web—yet like H.G. Wells, whom Dyson admired, he leaves us with a sense of having encountered important ideas on a journey led by someone who knows the terrain.  

Imagined Worlds was Dyson’s attempt to explore, as he put it, “the interaction of technology with human affairs.” Like the philosopher of science Thomas Kuhn, he thought science “moved ahead along old directions” until a conceptual revolution. Unlike Kuhn, he thought scientific revolutions could also be driven by tools, by technology. He explained that science and technology entered “Napoleonic” phases, when big institutions with deep pockets set research agendas, and “Tolstoyan” periods, when scientists engage more in tinkering and exploration. Napoleonic was “rigid organization and discipline”; Tolstoyan was “creative chaos and freedom.” Where are we now?

Science and technology today are Napoleonic. Silicon Valley is now Big Tech, the age of garage start-ups being long behind us. Neuroscience is pursued with “exascale” supercomputers and big data. Ditto physics, which also relies on billion-dollar particle accelerators like CERN’s seventeen kilometer long Large Hadron Collider. Consumers—you and me—now provide data to cloud servers, centralized repositories (“cloud” is a misnomer) of massive datasets owned by a relatively small number of governments and organizations. If anyone is “tinkering” with science and technology these days, they are not making the news. We live in Napoleonic times.

The world circa 2000 was not Napoleonic. Little more than two decades ago people were experimenting madly with technologies, business models, and seemingly everything else. Business theorists predicted that industries would demassify and disintermediate, old media gatekeepers would fall, products like encyclopedias would simply disappear, and entire industries would revamp, collapse, reshape, and emerge. Not just the tech world but the entire world seemed to be in a constant state of flux. Venture capital flowed out of a cornucopia. The NASDAQ hit 5,000 in March 2000, though the dot-com bubble burst roughly a year later. 

In the years before that setback, when Imagined Worlds was published, ideas about the future direction of science and technology were diverse, interesting, and abundant. Kevin Kelly, co-founder of Wired magazine, predicted in his 1998 hit New Rules for the New Economy that computer networks would replace the PC as the dominant feature of information technology. He missed the iPhone, understandably, but he saw the future of the Web not as PCs with modems but as a vast network of devices. In essence, he predicted the Internet of Things. Kelly envisioned the coming networked world, the new web, as “ground up,” amounting to a kind of revolution in business and society in which, instead of corporate bosses sitting atop hierarchies executing plans, networks of people would conjure and promote ideas in waves of unpredictable innovation. New Rules for the New Economy reads like a paean to creativity and human freedom, all made possible by liberating society from the old stodgy big business models and yesterday's tech and ideas. Kelly was foretelling a Tolstoyan future, Dyson’s “creative chaos and freedom.”

But surprising to many, big business made a reappearance in the “new economy.” In her now famous 2002 book Technological Revolutions and Financial Capital, business theorist Carlota Perez argued that investment frenzy and stock market crashes precede periods of technology maturation, in which the promise and fruits of a tech revolution become evident. Technology revolutions have an installment phase, she wrote, followed by a deployment phase. Then (if conditions are right) comes a “golden age” marked by growth, employment, and successful consolidation of new businesses and industries. Like Google. And Facebook. Perez's analysis—applicable to earlier golden ages, such as those of steel and electricity, oil, and mass production—accurately predicted what would happen to the Web as it matured in the new century.

What Perez didn't see—or didn't discuss—was the connection between the Napoleonic changes in society and culture and the maturing phases of a tech revolution. She described this calcification in terms of the economy—dwindling profits, unemployment. Dyson described it in terms of the minds of scientists and practitioners—a loss of creative chaos and freedom. A rigidified status quo. Today’s status quo is data-driven AI and Big Tech. Google, Facebook, Instagram, and Twitter. If Kelly’s “new economy” at the turn of the century was a soft drink, the world we inhabit today is a 7-11 Big Gulp. Kelly and others of his ilk assumed networking meant Tolstoyan freedom. Like others, he assumed a “power-to-the-people” movement would derail big corporations and gate keepers and empower Everyday Joes. Big Brother was supposed to disappear, not return on steroids.

Enter the new Napoleonic. Predictably, tech pundits and critics have largely abandoned bottom-up rhetoric for worries about top-down big data collection, housed in server farms owned by big tech companies. Our imagined world has become a kind of bureau of statistics for government and big business (and science), which treat digital data as intelligence and value, not as something connected to billions of humans and their ideas.

We can’t lay the blame on Big Tech alone. The data-centric model was an irresistible path to profits and growth. The Web was bound to mature commercially one way or the other, and large—not small—companies were the likely result.

But the “bureau of statistics” mindset is now a problem. It dominates thinking everywhere, not just in technology businesses aiming for sticky ads and more captive users. Nearly every institution one can point to today, from government to science, media, medicine, insurance, and many others, embraces a centralized, data-capture model requiring massive computing resources and actively downplaying human ingenuity in favor of number crunching and prediction. More troubling perhaps, is the way this has shaped the zeitgeist. Confidence in human smarts and imagination seems at an all-time low. Entire books are written now on how people are, in effect, cognitively biased, limited, and indeed stupid. Given this cultural climate, Dyson’s time of “creative chaos and freedom” seems not only distant but beyond recovery.

Dyson called the Cold War science of the 1950s and 1960s Napoleonic because research occurred mostly in huge companies like RAND and involved teasing out the implications of earlier scientific results from brilliant Tolstoyan tinkerers like Max Plank or Albert Einstein. As in our present time, results were achieved through the investment of huge sums of money, and were typically conservative in scope, reflecting already formed interests and agendas. Much of the money during that time was spent on making larger fission, then fusion bombs. The math was already done. That time and ours both correspond to Perez’s depiction of a fully matured technology revolution showing signs of slowdown and decay. We seem to have wandered into the 1950s again, this time with Web companies instead of IBM and General Motors.

Artificial intelligence has become thoroughly Napoleonic as well. It is a textbook case in calcification. Large, central repositories of data now power ubiquitous artificial intelligence algorithms, which are great for self-navigating drones and automated surveillance cameras but frustratingly poor at basic conversation and other cherished facets of human intelligence. Among other worries, data-centric AI today requires massive amounts of old-fashioned electricity, still largely supplied by conventional fossil fuels. And the central data version of AI is adept at various forms of malfeasance, as everyone now knows. We are increasingly caught in fake news and deep fakes of facial and other unreal images, generated by today’s Big Data AI. Depressingly, the seventy-plus-year program of artificial intelligence is largely equated with centralized data repositories and statistical number crunching today. Younger generations probably don’t know that Napoleonic, Big Data AI is only one approach, one way of conceiving machine intelligence. Big Data AI makes sense in a fully matured technology world, with big players like Google and Facebook. It doesn’t make sense for Tolstoyan tinkerers, who have no access to supercomputers or petabytes of others’ personal data.

Fortunately, the twenty-first century is still young. A little over two decades into the last century was—true—a midway point between two catastrophic wars. But scientists were enjoying Tostoyan freedom. Relativity and then quantum mechanics were discovered, without the supervision or control of big science or big business. Henry Ford was mass producing automobiles, but automobiles would enjoy decades of further Tolstoyan tinkering. Tellingly, computers had not arrived in 1922, and no one anticipated the revolution they would bring. We can only wonder what imagined, and unimagined, worlds still await us in this century.Our surprisingly Napoleonic twenty-first century.

[via: https://hedgehogreview.com/web-features/thr/posts/twenty-five-years-after-imagined-worlds-what-world-are-we-living-in ]

Erik J. Larson

Erik J. Larson is author of The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do (Harvard University Press, 2021). His forthcoming book is Machineland: How the Myth of Artificial Intelligence Has Shaped the 21st Century So Far.



This year marks the twenty-fifth anniversary of famed scientist and author Freeman Dyson’s Imagined Worlds. The book, fashioned from a series of lectures Dyson gave in Jerusalem in 1995, is partly a historical discussion about why technologies—some familiar, like nuclear power, others not, like airships—succeed or fail in what he called a Darwinian process of selection. It’s also an enjoyable piece of futurism. He delighted in the possible, and in Imagined Worlds he speculated boldly about space colonization and an entirely new species evolved from future humans. Dyson was aware of the difficulties of prediction—Imagined Worlds fails to anticipate the rise of the Internet or World Wide Web—yet like H.G. Wells, whom Dyson admired, he leaves us with a sense of having encountered important ideas on a journey led by someone who knows the terrain.  

Imagined Worlds was Dyson’s attempt to explore, as he put it, “the interaction of technology with human affairs.” Like the philosopher of science Thomas Kuhn, he thought science “moved ahead along old directions” until a conceptual revolution. Unlike Kuhn, he thought scientific revolutions could also be driven by tools, by technology. He explained that science and technology entered “Napoleonic” phases, when big institutions with deep pockets set research agendas, and “Tolstoyan” periods, when scientists engage more in tinkering and exploration. Napoleonic was “rigid organization and discipline”; Tolstoyan was “creative chaos and freedom.” Where are we now?

Science and technology today are Napoleonic. Silicon Valley is now Big Tech, the age of garage start-ups being long behind us. Neuroscience is pursued with “exascale” supercomputers and big data. Ditto physics, which also relies on billion-dollar particle accelerators like CERN’s seventeen kilometer long Large Hadron Collider. Consumers—you and me—now provide data to cloud servers, centralized repositories (“cloud” is a misnomer) of massive datasets owned by a relatively small number of governments and organizations. If anyone is “tinkering” with science and technology these days, they are not making the news. We live in Napoleonic times.

The world circa 2000 was not Napoleonic. Little more than two decades ago people were experimenting madly with technologies, business models, and seemingly everything else. Business theorists predicted that industries would demassify and disintermediate, old media gatekeepers would fall, products like encyclopedias would simply disappear, and entire industries would revamp, collapse, reshape, and emerge. Not just the tech world but the entire world seemed to be in a constant state of flux. Venture capital flowed out of a cornucopia. The NASDAQ hit 5,000 in March 2000, though the dot-com bubble burst roughly a year later. 

In the years before that setback, when Imagined Worlds was published, ideas about the future direction of science and technology were diverse, interesting, and abundant. Kevin Kelly, co-founder of Wired magazine, predicted in his 1998 hit New Rules for the New Economy that computer networks would replace the PC as the dominant feature of information technology. He missed the iPhone, understandably, but he saw the future of the Web not as PCs with modems but as a vast network of devices. In essence, he predicted the Internet of Things. Kelly envisioned the coming networked world, the new web, as “ground up,” amounting to a kind of revolution in business and society in which, instead of corporate bosses sitting atop hierarchies executing plans, networks of people would conjure and promote ideas in waves of unpredictable innovation. New Rules for the New Economy reads like a paean to creativity and human freedom, all made possible by liberating society from the old stodgy big business models and yesterday's tech and ideas. Kelly was foretelling a Tolstoyan future, Dyson’s “creative chaos and freedom.”

But surprising to many, big business made a reappearance in the “new economy.” In her now famous 2002 book Technological Revolutions and Financial Capital, business theorist Carlota Perez argued that investment frenzy and stock market crashes precede periods of technology maturation, in which the promise and fruits of a tech revolution become evident. Technology revolutions have an installment phase, she wrote, followed by a deployment phase. Then (if conditions are right) comes a “golden age” marked by growth, employment, and successful consolidation of new businesses and industries. Like Google. And Facebook. Perez's analysis—applicable to earlier golden ages, such as those of steel and electricity, oil, and mass production—accurately predicted what would happen to the Web as it matured in the new century.

What Perez didn't see—or didn't discuss—was the connection between the Napoleonic changes in society and culture and the maturing phases of a tech revolution. She described this calcification in terms of the economy—dwindling profits, unemployment. Dyson described it in terms of the minds of scientists and practitioners—a loss of creative chaos and freedom. A rigidified status quo. Today’s status quo is data-driven AI and Big Tech. Google, Facebook, Instagram, and Twitter. If Kelly’s “new economy” at the turn of the century was a soft drink, the world we inhabit today is a 7-11 Big Gulp. Kelly and others of his ilk assumed networking meant Tolstoyan freedom. Like others, he assumed a “power-to-the-people” movement would derail big corporations and gate keepers and empower Everyday Joes. Big Brother was supposed to disappear, not return on steroids.

Enter the new Napoleonic. Predictably, tech pundits and critics have largely abandoned bottom-up rhetoric for worries about top-down big data collection, housed in server farms owned by big tech companies. Our imagined world has become a kind of bureau of statistics for government and big business (and science), which treat digital data as intelligence and value, not as something connected to billions of humans and their ideas.

We can’t lay the blame on Big Tech alone. The data-centric model was an irresistible path to profits and growth. The Web was bound to mature commercially one way or the other, and large—not small—companies were the likely result.

But the “bureau of statistics” mindset is now a problem. It dominates thinking everywhere, not just in technology businesses aiming for sticky ads and more captive users. Nearly every institution one can point to today, from government to science, media, medicine, insurance, and many others, embraces a centralized, data-capture model requiring massive computing resources and actively downplaying human ingenuity in favor of number crunching and prediction. More troubling perhaps, is the way this has shaped the zeitgeist. Confidence in human smarts and imagination seems at an all-time low. Entire books are written now on how people are, in effect, cognitively biased, limited, and indeed stupid. Given this cultural climate, Dyson’s time of “creative chaos and freedom” seems not only distant but beyond recovery.

Dyson called the Cold War science of the 1950s and 1960s Napoleonic because research occurred mostly in huge companies like RAND and involved teasing out the implications of earlier scientific results from brilliant Tolstoyan tinkerers like Max Plank or Albert Einstein. As in our present time, results were achieved through the investment of huge sums of money, and were typically conservative in scope, reflecting already formed interests and agendas. Much of the money during that time was spent on making larger fission, then fusion bombs. The math was already done. That time and ours both correspond to Perez’s depiction of a fully matured technology revolution showing signs of slowdown and decay. We seem to have wandered into the 1950s again, this time with Web companies instead of IBM and General Motors.

Artificial intelligence has become thoroughly Napoleonic as well. It is a textbook case in calcification. Large, central repositories of data now power ubiquitous artificial intelligence algorithms, which are great for self-navigating drones and automated surveillance cameras but frustratingly poor at basic conversation and other cherished facets of human intelligence. Among other worries, data-centric AI today requires massive amounts of old-fashioned electricity, still largely supplied by conventional fossil fuels. And the central data version of AI is adept at various forms of malfeasance, as everyone now knows. We are increasingly caught in fake news and deep fakes of facial and other unreal images, generated by today’s Big Data AI. Depressingly, the seventy-plus-year program of artificial intelligence is largely equated with centralized data repositories and statistical number crunching today. Younger generations probably don’t know that Napoleonic, Big Data AI is only one approach, one way of conceiving machine intelligence. Big Data AI makes sense in a fully matured technology world, with big players like Google and Facebook. It doesn’t make sense for Tolstoyan tinkerers, who have no access to supercomputers or petabytes of others’ personal data.

Fortunately, the twenty-first century is still young. A little over two decades into the last century was—true—a midway point between two catastrophic wars. But scientists were enjoying Tostoyan freedom. Relativity and then quantum mechanics were discovered, without the supervision or control of big science or big business. Henry Ford was mass producing automobiles, but automobiles would enjoy decades of further Tolstoyan tinkering. Tellingly, computers had not arrived in 1922, and no one anticipated the revolution they would bring. We can only wonder what imagined, and unimagined, worlds still await us in this century."]]></description>
<dc:subject>eriklarson freemandyson 1995 2022 web internet online computers computing centralization decentralization bigtech thomaskuhn siliconvalley neuroscience bigdata napoleon google facebook instagram twitter freedom creativity liberty carlotaperez tolstoy anarchism openweb anarchy innovation society liberation kevinkelly 1998 coldwar rand maxplank alberteinstein ai artificialintelligence henryford quantummechanics quantumtheory quantumphysics</dc:subject>
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<item rdf:about="https://social.ayjay.org/2026/06/06/freeman-dyson-it-often-happens.html">
    <title>“The open web and the world of hobbyist and small-scale devices (often built on the Raspberry Pi) are our remaining refuges of Tolstoyan computing.” - Alan Jacobs</title>
    <dc:date>2026-06-07T00:34:17+00:00</dc:date>
    <link>https://social.ayjay.org/2026/06/06/freeman-dyson-it-often-happens.html</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Freeman Dyson (1997) [Imagined Worlds: https://archive.org/details/imaginedworlds00dyso ]:

<blockquote>It often happens that a scientific revolution is accompanied by a change in style. I like to use the names of Napoleon and Tolstoy to symbolize two contrasting styles: rigid organization and discipline represented by Napoleon, creative chaos and freedom represented by Tolstoy. In the world of computers, Napoleon is the massive IBM main-frame; Tolstoy is the humble Macintosh. The computer revolution was an escape from the Napoleonic ambitions of von Neumann to the Tolstoyan anarchy of the Internet. Future revolutions will bring more such escapes.</blockquote>

The big AI companies are the apotheosis — literally, in the view of many who work for them — of Napoleonic science. The open web and the world of hobbyist and small-scale devices (often built on the Raspberry Pi) are our remaining refuges of Tolstoyan computing. See also: Erik Larson reflecting on Dyson in 2022 [https://hedgehogreview.com/web-features/thr/posts/twenty-five-years-after-imagined-worlds-what-world-are-we-living-in ]."]]></description>
<dc:subject>alanjacobs freemandyson 1997 computers computing centralization decentralization anarchism tolstoy raspberrypi internet web online ai artificialintelligence llms eriklarson 2022 mac apple ibm openweb hobbyists hobbies tinkering</dc:subject>
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<item rdf:about="https://www.theverge.com/ai-artificial-intelligence/942629/as-ai-gets-better-it-reveals-an-empty-promise">
    <title>As AI gets better, it reveals an empty promise | The Verge</title>
    <dc:date>2026-06-03T19:45:38+00:00</dc:date>
    <link>https://www.theverge.com/ai-artificial-intelligence/942629/as-ai-gets-better-it-reveals-an-empty-promise</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["﻿Your new assistant can schedule a meeting but it can’t fix our broken world."

...

"This week we’ve got tandem hands-ons with Google’s new Gemini AI agent — Spark — from my colleagues David Pierce and Jay Peters. Their takeaways are similar: It’s so effective that it’s scary. Spark knew that David’s dog is named Frida and knew the first name of Jay’s wife, even though neither of them explicitly provided this information to Google. But what’s scary to me is how all of this stuff seems geared toward a future of “productivity” that completely misses what needs to be fixed in our world.

“Productivity” is often pitched as a panacea for what befalls us in our personal lives, even going so far as to implicate our moral worthiness when we are less productive. Productivity lives somewhere in the space between hustle culture and proverb: After all, “idle hands are the devil’s workshop.” I’m not suggesting we should all aspire to be bumps on a log, but we ought to see what we’re being sold for what it really is.

Contemporary tasks on computers have a tendency to feel both important and urgent all of the time, even if they’re not. We’re living under the unholy alliance of the “busy” trap and “software brain.” And that makes AI assistance seem super valuable! But that’s because the companies in charge of all this stuff are now trying to solve a lot of problems that they created. Google, Microsoft, Apple, and others have spent decades blurring the line between office life and personal life. This slow march toward ubiquitous productivity once led the French government to declare a “right to disconnect” from work when leaving the office. (Shame my American sensibilities still convince me that’s a bridge too far.)

As I read about Gemini Spark making it easy for my colleagues to color-code calendars and perform other neat tricks on command, I couldn’t help but vividly remember witnessing as a child all of the hours my mom had to spend carefully cutting coupons so we could afford groceries. Sometimes it got to the point where our living room looked like a giant experiment in collage art. All of that time was stolen from her and our family — for what? Maybe having an AI assistant in the ’90s could have helped find and organize the best deals, but it could never fix an economic system that required them in the first place.

Where does the productivity march end? The people making more money than God right now have professed a vision of a postwork future where robots do everything for us so we can enjoy life without toiling away in the mines. (Well, except for the content mines.) If you’ve seen Elon Musk’s failure bot, you’ll know this is all actually less Battlestar Galactica and more John Adams in his letter to Abigail: “I must study politics and war that my sons may have liberty to study mathematics and philosophy,” and so-on and so-on until the grandchildren can enjoy painting and poetry. So, ideally, after we slog through pre-transcendence, AI will make us all theater kids.

Meanwhile, Mark Zuckerberg is posting up his 387-foot yacht in a city where he just laid off a meaningful part of his workforce to offset his investments in AI. At least AI has freed up the time of these fired workers? I’d say good luck to them in Hollywood, especially because they’re trying to replace newly minted theater kids with AI-generated actors.

There’s a sinister tone lurking beneath some of these advancements in productivity, because the response to increased productivity has been one of the biggest scams of the past century. Well before consumer AI entered the scene, productivity exploded while wages failed to keep pace. Nobody is working less, they’re just earning less. And as more AI-related companies reap trillions in valuation, the current US regime is looting the social safety net — the kind that must exist if we’re all going to become out-of-work theater kids. You simply can’t look at these things separately. If the end result of private companies optimizing the workforce means nobody has to work, then we have to live in a society where people can still have a roof and a meal. Is anyone confident that will happen while leaders are cutting SNAP benefits while building taxpayer-funded ballrooms?

What good is an AI assistant that can help you plan a fun day if you can’t actually afford any free time in your life?

There has always been resistance to new advancements — so much so that the term “luddite” is still potent 200 years after English textile workers revolted against automation in their industry. The AI backlash is genuine, well-informed, and well-argued. Nonetheless, some of those new neat tricks are fun and maybe even pretty useful in our personal lives. But I can’t imagine that paying $99 a month to send emails, make calendar appointments, and create spreadsheets is a promising vision of the future or even a good return on investment. Especially if the broader cost is squandering the splendor of our lands while subjecting us to corporate omniscience."]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=-7RDU-piOVA">
    <title>I was wrong - YouTube</title>
    <dc:date>2026-05-31T21:13:47+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=-7RDU-piOVA</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Wandering the underworld. Welcome to Season 3. 

https://arxiv.org/pdf/1706.03762

https://en.wikipedia.org/wiki/Perceptron

https://en.wikipedia.org/wiki/Backpropagation

https://www.incompleteideas.net/IncIdeas/BitterLesson.html
[https://web.archive.org/web/20260528052931/https://www.incompleteideas.net/IncIdeas/BitterLesson.html ]

https://www.youtube.com/watch?v=Yoo4GWiAx94

https://www.youtube.com/watch?v=FwFduRA_L6Q

https://en.wikipedia.org/wiki/David_H._Hubel "]]></description>
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    <title>pope #magnificahumanitas - YouTube</title>
    <dc:date>2026-05-28T08:10:36+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=HYJj4qwko9k</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>aidanwalker popeleoxiv encyclicals magnificahumanitas humanism catholicchurch catholicism ai artificialintelligence peterthiel jdvance heretics hereticism christianity soul satan truth reality markfisher industrialrevolution history human humans 2026 power war responsibility civilization care caring transhumanism god christ jesuschrist jesus technology limitations defects errors grace brokenness optimization data computing computation eternity resnovae popeleoxiii rerumnovarum automation work workers labor society humanity</dc:subject>
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<item rdf:about="https://www.noemamag.com/how-ais-see-our-world/">
    <title>How AIs See Our World</title>
    <dc:date>2026-05-26T23:36:42+00:00</dc:date>
    <link>https://www.noemamag.com/how-ais-see-our-world/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["AIs are increasingly perceiving our world, but in order to comprehend it, our user interfaces must operate in reverse."]]></description>
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<item rdf:about="https://om.co/2026/05/21/the-rocket-that-runs-on-broadband/">
    <title>The Rocket That Runs on Broadband – On my Om</title>
    <dc:date>2026-05-22T08:17:17+00:00</dc:date>
    <link>https://om.co/2026/05/21/the-rocket-that-runs-on-broadband/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["paceX is in the business of rockets — how often they fly and what they do. The rest is imagination. The SpaceX IPO is a masterpiece of financial engineering. The prospectus is a perfect blend of reality, sci-fi, and skullduggery. I dug into the freshly filed 300-page IPO prospectus of Space Exploration Technologies Corp. to find out how much imagination is required.

SpaceX is seeking a valuation of $1.75 trillion, the largest IPO in American history, larger than anything Wall Street has previously been asked to absorb. In inflation-adjusted terms, SpaceX alone would rank second in history, just behind Saudi Aramco. SpaceX, OpenAI, and Anthropic together would raise more money than the entire dot-com bubble from 1995 to 2000.

Financial analyst Paul Kedrosky has a warning about where the money comes from. Most of that money will come from existing holdings. Passive funds will be forced buyers the moment these names enter the indexes, which index rules now accelerate. That means mechanical selling pressure on the same large-cap technology stocks everyone else already owns. Our 401(k) plans are in for a rude awakening.

Despite all that, I found the filing fun to read. It was late at night, so there was no popcorn. And who doesn’t like a bit of fiction before falling asleep?

The filing ranges from reusable rocket economics to the philosophical implications of becoming a Kardashev Type II civilization. It lists Mars colonization as a business line. I chortled when I saw that their flagship data center is named COLOSSUS, as in the 1970 sci-fi film Colossus: The Forbin Project, about a supercomputer that achieves self-awareness and takes over the world. To troll Microsoft, they have “Macrohard,” a platform under development to emulate digital workflows and create a fully AI-operated software company. If you want to know what a terawatt is, it is in the glossary. This is glorious.

Strip the prospectus to its financial skeleton and what remains is a satellite internet company. That is the business generating the cash that keeps the fiction appearing realistic."

...

"At $1.75 trillion, SpaceX is asking investors to price in the orbital data centers, the Mars missions, the chip manufacturing, and the plan to build the infrastructure of a Type II civilization. The believers won’t know the difference. The faithful have been well rewarded before. They have also, occasionally, learned that their messiah is known to blow air hotter than the exhaust of those rockets."]]></description>
<dc:subject>ommalik spacex finance ai artificialintelligence anthropic openai saudiaramco wallstreet fiction bigtech technology business ebitda starlink elonmusk datacenters computing computation broadband arpu satellites xai twitter</dc:subject>
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<item rdf:about="https://www.nybooks.com/articles/2026/05/28/whither-the-nerd-bully-bill-gates/">
    <title>Whither the Nerd-Bully? | Ben Tarnoff | The New York Review of Books</title>
    <dc:date>2026-05-14T15:49:09+00:00</dc:date>
    <link>https://www.nybooks.com/articles/2026/05/28/whither-the-nerd-bully-bill-gates/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Bill Gates was the monopolistic father figure who Silicon Valley’s young founders rebelled against—and, in so rebelling, became."

[archived:
https://archive.is/ClkzU

via:
https://www.theverge.com/microsoft/930433/apropos-of-nothing-in-particular

"Apropos of nothing in particular...

I enjoyed reading this story about Bill Gates’ malevolent influence on the current crop of Silicon Valley megalomaniacs. If you remember his pre-Gates Foundation reputation, you will particularly appreciate it."]

"Source Code strikes a careful balance. Young Gates is curious and precocious but awkward and ill-tempered. He is the beneficiary of an affluent upbringing but possesses the intelligence to make the most of his opportunities. He gets into programming at the perfect time—just ahead of the first microcomputers that make personal computing a reality—but has the foresight and initiative to maximize this advantage.

Even the most meticulously humanized portrait may not be enough. As Das points out, Gates’s stature has suffered as a result of both the Epstein connection and his promotion of vaccines during the pandemic, which made him a villain to various Covid denialists and conspiracists. Relatedly, the position he has historically occupied, that of the liberal billionaire, has become lonelier in recent years. The revival of class politics on the left and the rightward shift of a prominent segment of the tech elite means that the “benevolent capitalism” championed by Gates has fewer takers.

The irony is that benevolent capitalism was the state religion of Silicon Valley when the dot-commers were battling the unbenevolent capitalism of Microsoft—an ethos encapsulated by “Don’t be evil,” Google’s motto for many years. Gates took it up after he went into philanthropy, and has kept the faith much longer than his former competitors.

Still, if Gates has resisted full feralization, he has also tried to ingratiate himself with the current regime, praising Trump after a private dinner in January 2025 and attending a knee-bending ceremony for tech leaders at the White House in September. “Thank you for incredible leadership,” he told the president, seated at a table with Sergey Brin, Mark Zuckerberg, Sam Altman, and several others.

It is clarifying to see Gates in such company. He may once have waged war on Silicon Valley, but the Valley owes much of its present eminence to the playbook he drew up at Microsoft. Gates bent and broke laws, asked not for permission but for forgiveness (and rarely), helped himself freely to the intellectual property of others while vigorously protecting his own, and endeavored not merely to beat his competitors but to extinguish them by any means necessary. Above all he understood that software was the choke point in the personal computing revolution, that as computers proliferated, the code that made those computers useful—and especially their operating systems—would become critically important. Monopolies in the new era would be assembled not from agglomerations of infrastructure such as railroads but through mediating people’s access to the digital world. This privileged position would enable a firm to obtain what economists call “rents”: rather than compete with other companies on price and quality, the digital monopolist could demand something like tribute from his captive customers.

This is the dream that multiple generations of tech entrepreneurs have since pursued. Gates’s initial name for Microsoft Windows was “Interface Manager,” and the phrase aptly summarizes the project continued by his spiritual successors. From Brin to Zuckerberg to Altman, from search engines to social media to chatbots, the goal is to become the interface manager, controlling the surfaces that we use to simplify and humanize computing’s alien depths. Gates is the ghost in our machines."]]></description>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=p6Ejmhwb8Sc">
    <title>genesis mission (us government) - YouTube</title>
    <dc:date>2026-05-13T06:20:42+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=p6Ejmhwb8Sc</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Genesis website: https://genesis.energy.gov
Genesis 26 things: https://www.energy.gov/documents/genesis-mission-science-and-technology-challenges
webinars: https://science.osti.gov/grants/FOAs/Genesis-Mission "

...

"00:00  introduction
04:29  genesis mission
10:35  timelines
17:19  Argonne vs. ORNL
27:47  A ‘reorg’ that removes peer review and input from actual scientists is the bit.
31:30 the corporate sponsor
39:26 knowledge grows faster than our ability to understand it
41:40: credits"]]></description>
<dc:subject>angelacollier 2026 ai artificialintelligence data genesismission donaldtrump trumpism technology computing science ornl argonne government us algorithms sycophancy aisycophancy maga maha peerreview</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://craigmod.com/essays/ipad_neo/">
    <title>MacBook Neo and How the iPad Could Be — by Craig Mod</title>
    <dc:date>2026-05-05T06:01:21+00:00</dc:date>
    <link>https://craigmod.com/essays/ipad_neo/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["I’m typing this on a MacBook Neo. I’ve been using it daily for two weeks. It’s an outstanding little machine. Cheaper than an iPad with a keyboard. Far, far more capable in almost every way. Bursting with potential, this little machine. It’s the machine we all wanted, in a way, back when the iPad Pro was attempting to be a professional tool. A good keyboard, a fine screen, a solid little processor, and most importantly, an operating system that lets you work and work well, and work well with the coming wave of LLM-related tools. This machine has become what I always wished my iPad could be — a compact, light writing machine that stays out of the way, feels fluid and fluent, integrates easily with services like Dropbox, and syncs with my true Pro machine effortlessly. (I’ve lost untold documents attempting to rely on iCloud Drive and syncing between desktop and mobile versions of apps.)

Rumors have it that touch screens are coming to MacBooks, to macOS. I do not wish to touch my MacBook’s screen. One of the great joys of a MacBook is not touching the screen, is keeping the fingers on the keyboard in a ballet of delightful fluency, flitting between apps, opening apps and documents and assorted files, running tools, doing so at the speed of thought, encumbered only by increasingly slower animations or boneheaded notifications or apps stealing focus as they spin themselves up. Keys are fast, touch is slow, and with all the usability issues appearing in macOS, adding touch seems like one more level of complexity the software teams aren’t yet primed to handle.

Tim Cook is on the way out. John Ternus begins this fall. We know by the numbers that Apple sells a lot of iPads. And they sell an OK number of MacBooks. When Cook came in he streamlined supply chains, but over time, the lineup of devices has grown fat and strange. Perhaps Ternus can streamline once again, on both axes of hardware and software.

Here is the insane business plan of what I would do, the thoughts of some fool on a hill halfway across the world:

No more keyboards or mouse support for iPads. Touch only. Nix half the iPad lineup, simplify simplify simplify. Gut iPadOS and rebuild it around touch fluidity and fluency and focus. Work with Procreate to expand their offerings. What is the Procreate equivalent of every creative tool? Look back to the playfulness of PushPopPress. Now, make a 12" MacBook Air. Get rid of the other Airs. For the MacBook lineup, offer a cheap Neo, an ultra-portable high-spec Air, and powerful, portful Pros. And macOS? No touch. Good god, do not succumb to the siren call of touching MacBook screens. Instead, go into a three year period of major OS refactoring. Speed above all. Mythos harden the OS but increase malleability. What does an LLM-first macOS look like? One you can plug into and automate with ease. Make that. (Plot twist: It turns out it’s the same thing as a user-first OS.) Think about keyboard fluency. Bicycle for the mind the hell out of the thing. Make it absolutely clear about how iPads are used and how MacBooks are used. Think about them as true companions, but with no overlap. Maybe Ternus will usher in parts of this.

***

I just love the idea that the specificity of our tools should be radically clear. The iPad should be a highly-focused touch playground. Weird as hell, one-of-a-kind apps. And MacBooks should be for multitasking, moving information and data around, building evermore powerful tools (tools within tools within tools), all bounded by a keyboard-first universe. Keep the iPad screen covered in the goop of happy fingers and the MacBook keyboards slathered in the smudge of thought. The more separate they are, the more powerful they become."]]></description>
<dc:subject>macbooks macbookneo apple computers computing ipad ipados macos craigmod 2026 touchscreens johnternus timcook</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:15154172c7b8/</dc:identifier>
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<item rdf:about="https://davekarpf.beehiiv.com/p/what-sort-of-ai-bubble-are-we-in">
    <title>What Sort of AI Bubble Are We In?</title>
    <dc:date>2026-05-05T04:30:19+00:00</dc:date>
    <link>https://davekarpf.beehiiv.com/p/what-sort-of-ai-bubble-are-we-in</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["All of which is to say that AI companies have not generated the demand to pay for the expensive data centers. They’ve generated and subsidized the demand for compute, and then used that computational demand to make a case for further AI infrastructure investment. 

The crash occurs when we find out how much consumers value AI when they have to pay the full sticker price for the unsubsidized products. If it ends up that we merely have oversupply for the worlds-most-valuable product, then a few companies go bankrupt while the global economy roars forward. But if it turns out that the financial flywheel massively overstated how much economic value we get from AI, then all those trillions the banks and governments handed over to Sam and Elon might capsize absolutely everything. 

I think it’s a mistake to pretend that AI is completely useless. But it’s an even bigger mistake to treat the subsidized compute demand as proof that a once-in-a-century economic transformation is currently underway."]]></description>
<dc:subject>davekarpf ai artificialintelligence computing computation datacenters economics aibubble samaltman openai chatgpt chatbots anthropic claude elonmusk xai meta haydenfield kevinroose hardfork enron globalfinancialcrisis greatrecession railroads histoy crypto cryptocurrencies</dc:subject>
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</item>
<item rdf:about="https://www.wheresyoured.at/four-horsemen-of-the-aipocalypse/">
    <title>Four Horsemen of the AIpocalypse</title>
    <dc:date>2026-04-22T03:12:34+00:00</dc:date>
    <link>https://www.wheresyoured.at/four-horsemen-of-the-aipocalypse/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Table of Contents

Anthropic’s Products Are Constantly Breaking Because It Doesn’t Have Enough Capacity, And Opus 4.7 Is Both Worse and Burns More Tokens

> Anthropic Has No Good Solutions To Its Capacity Issues And Shouldn’t Be Accepting New Customers — And More Capacity Will Only Lose It Money

> Anthropic’s Growth Story Is A Sham Based on Subsidies and Sub-par Service

> Claude Mythos Was Held Back Due To Capacity Constraints, Not Fears Around Capabilities

AI Compute Demand Is Being Inflated By Anthropic and OpenAI, With More Than 50% of AI Data Centers Under Construction Built For Two Companies, and Only 15.2GW of Capacity Under Construction Through The End of 2028

NVIDIA Claims To Have $1 Trillion In Sales Visibility Through 2027, But Only $285 Billion GPUs Worth Of Data Centers Are Under Construction — NVIDIA Is Selling Years’ Worth of GPUs In Advance And Warehousing Them

AI Is Really Expensive, With Companies Spending As Much As 10% Of Headcount Cost On LLM Tokens, And May Reach 100% of Headcount Cost In The Next Few Quarters

The Subprime AI Crisis Continues, With Microsoft Starting Token-Based Billing For GitHub Copilot Later This Year, And Anthropic Already Moving Enterprise Customers To API Rates

This Is The Era of AI Hysteria"]]></description>
<dc:subject>ai artificialintelligence anthropic openai aibubble nvidia edzitron finance 2026 generativeai genai chatbots claude chatgpt coreweave datacenters amazon google googlecloud microsoft computing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:659d42c55575/</dc:identifier>
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<item rdf:about="https://mjtsai.com/blog/2026/04/15/ipados-postmacbook-neo/">
    <title>Michael Tsai - Blog - iPadOS Post–MacBook Neo</title>
    <dc:date>2026-04-16T05:08:37+00:00</dc:date>
    <link>https://mjtsai.com/blog/2026/04/15/ipados-postmacbook-neo/</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>ipad ipados computers computing ios macos macbookneo laptops 2026 michaeltsai mattbirchler ericschwarz touchscreens os markgurman brendanshanks howwework coloncornaby chrishannah edtech chromebooks stevertroughton-smith marcusmendes danielrubino mitchwagner nilaypatel davidpierce tobiashedtke colindevroe education tablets microsoft microsoftsurface</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:c7228334fc18/</dc:identifier>
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</item>
<item rdf:about="https://ringmast4r.substack.com/p/we-may-be-living-through-the-most">
    <title>We May Be Living Through the Most Consequential Hundred Days in Cyber History, and Almost Nobody Has Noticed</title>
    <dc:date>2026-04-15T07:11:15+00:00</dc:date>
    <link>https://ringmast4r.substack.com/p/we-may-be-living-through-the-most</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["An archive of this year’s insane timeline of hacks few people are talking about"]]></description>
<dc:subject>ethics governance war security 2026 patrickquirk china computers computing internet web online cybersecurity oracle github saas lockheedmartin salesforce iran handala northkorea russia ai artificialintelligence claude anthropic vishing voicephishing microsoft stryker kashpatel fbi axios intelligence cisco llms mercor meta cloud cloudcomputing rockstargames aviation honda</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:6b5f93da50a8/</dc:identifier>
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</item>
<item rdf:about="https://www.wheresyoured.at/i-will-never-respect-a-website/">
    <title>I Will Never Respect A Website</title>
    <dc:date>2026-04-14T22:14:43+00:00</dc:date>
    <link>https://www.wheresyoured.at/i-will-never-respect-a-website/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Table of Contents

What Makes People So Attached To and Protective Of LLMs?

The Great Enshittification of Generative AI

Anthropic’s Products Are Deteriorating In Real Time, And Its Customers Are Victims of A Con

A Scenario Illustrating How Anthropic Fucks Over Its Customers

AI Labs’ Capacity Issues Are Financial Poison, As Compute “Demand” Is Impossible To Gauge And Must Be Planned Years In Advance

OpenAI And Anthropic’s Are Conning Their Customers, Offering Products That Will Reduce In Functionality In A Matter Of Months

OpenAI And Anthropic Are Unethical Businesses That Abuse Their Customers

The AI Industry Is Surprised That People Are Angry, And It Shouldn’t Be.

Cause and Effect"]]></description>
<dc:subject>openai ai artificialintelligence anthropic enshittification internet web online llms edzitron 2026 conjobs fraud computers computing ethics abuse writing howwewrite linkedin davemccann ibm chatbots stephenfry alexheath claude claudecowork agenticai openclaw finance claudecode oracle coreweave microsoft amazon aes cerebras ronanfarrow andrewmarantz samaltman darioamodei miramurati danielkokotajlo chatgpt technofeudalism billionaires luddism neoluddism luddites neoluddites resistance revolt oligarchy</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:92e7b1e7f3e5/</dc:identifier>
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</item>
<item rdf:about="https://resonantcomputing.org/">
    <title>Resonant Computing Manifesto</title>
    <dc:date>2026-04-14T22:07:09+00:00</dc:date>
    <link>https://resonantcomputing.org/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["There's a feeling you get
in the presence of
beautiful buildings and bustling courtyards.
A sense that these spaces
are inviting you to slow down,
deepen your attention, and be
a bit more human.

What if our software could do the same?

***

We shape our environments, and thereafter they shape us.

Great technology does more than solve problems. It weaves itself into the world we inhabit. At its best, it can expand our capacity, our connectedness, our sense of what's possible. Technology can bring out the best in us.

Our current technological landscape, however, does the opposite. Feeds engineered to hijack attention and keep us scrolling, leaving a trail of anxiety and atomization in their wake. Digital platforms that increasingly mediate our access to transportation, work, food, dating, commerce, entertainment—while routinely draining the depth and warmth from everything they touch. For all its grandiose promises, modern tech often leaves us feeling alienated, ever more distant from who we want to be.

The people who build these products aren't bad or evil. Most of us got into tech with an earnest desire to leave the world better than we found it. But the incentives and cultural norms of the tech industry have coalesced around the logic of hyper-scale. It's become monolithic, magnetic, all-encompassing—an environment that shapes all who step foot there. While the business results are undeniable, so too are the downstream effects on humanity.

With the emergence of artificial intelligence, we stand at a crossroads. This technology holds genuine promise. It could just as easily pour gasoline on existing problems. If we continue to sleepwalk down the path of hyper-scale and centralization, future generations are sure to inherit a world far more dystopian than our own.

But there is another path opening before us.

***

Christopher Alexander spent his career exploring why some built environments deaden us, while others leave us feeling more human, more at home in the world. His work centered around the "quality without a name," this intuitive knowing that a place or an architectural element is in tune with life. By learning to recognize this quality, he argued, and constructing a building in dialogue with it, we could reliably create environments that enliven us.

We call this quality resonance. It's the experience of encountering something that speaks to our deeper values. It's a spark of recognition, a sense that we're being invited to lean in, to participate. Unlike the digital junk food of the day, the more we engage with what resonates, the more we're left feeling nourished, grateful, alive. As individuals, following the breadcrumbs of resonance helps us build meaningful lives. As communities, companies, and societies, cultivating shared resonance helps us break away from perverse incentives, and play positive-sum infinite games together.

For decades, technology has required standardized solutions to complex human problems. In order to scale software, you had to build for the average user, sanding away the edge cases. In many ways, this is why our digital world has come to resemble the sterile, deadening architecture that Alexander spent his career pushing back against.

This is where AI provides a missing puzzle piece. Software can now respond fluidly to the context and particularity of each human—at scale. One-size-fits-all is no longer a technological or economic necessity. Where once our digital environments inevitably shaped us against our will, we can now build technology that adaptively shapes itself in service of our individual and collective aspirations. We can build resonant environments that bring out the best in every human who inhabits them.

***

And so, we find ourselves at this crossroads. Regardless of which path we choose, the future of computing will be hyper-personalized. The question is whether that personalization will be in service of keeping us passively glued to screens—wading around in the shallows, stripped of agency—or whether it will enable us to direct more attention to what matters.

In order to build the resonant technological future we want for ourselves, we will have to resist the seductive logic of hyper-scale, and challenge the business and cultural assumptions that hold it in place. We will have to make deliberate decisions that stand in the face of accepted best practices—rethinking the system architectures, design patterns, and business models that have undergirded the tech industry for decades.

We suggest these five principles as a starting place:

1. Private: In the era of AI, whoever controls the context holds the power. While data often involves multiple stakeholders, people must serve as primary stewards of their own context, determining how it's used.

2. Dedicated: Software should work exclusively for you, ensuring contextual integrity where data use aligns with your expectations. You must be able to trust there are no hidden agendas or conflicting interests.

3. Plural: No single entity should control the digital spaces we inhabit. Healthy ecosystems require distributed power, interoperability, and meaningful choice for participants.

4. Adaptable: Software should be open-ended, able to meet the specific, context-dependent needs of each person who uses it.

5. Prosocial: Technology should enable connection and coordination, helping us become better neighbors, collaborators, and stewards of shared spaces, both online and off.

We, the signatories of this manifesto, are committed to building, funding, and championing products and companies that embed these principles at their core. For us, this isn't a theoretical treatise. We're already building tooling and infrastructure that will enable resonant products and ecosystems.

But we cannot do it alone. None of us holds all the answers, and this movement cannot succeed in isolation. That's why, alongside this manifesto, we're sharing an evolving list of principles and theses. These are specific assertions about the implementation details and tradeoffs required to make resonant computing a reality. Some of these stem from our experiences, while others will be crowdsourced from practitioners across the industry. This conversation is only just beginning.

If this vision resonates, we invite you to join us. Not just as a signatory, but as a contributor. Add your expertise, your critiques, your own theses. By harnessing the collective intelligence of people who earnestly care, we can chart a path towards technology that enables individual growth and collective flourishing."]]></description>
<dc:subject>manifestos computing computers software ethics technology christopheralexander privacy ai artificialintelligence ecosystems adaptability society social connection coordination collaboration sharedspaces online internet web data power</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:0cb58c6d5513/</dc:identifier>
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</item>
<item rdf:about="https://howtodothingswithmemes.substack.com/p/the-most-sensible-book-so-far-on">
    <title>the most sensible book so far on AI - by Aidan Walker</title>
    <dc:date>2026-04-11T21:02:06+00:00</dc:date>
    <link>https://howtodothingswithmemes.substack.com/p/the-most-sensible-book-so-far-on</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Language Machines and remainder humanism"

...

"The one thing artificial intelligence definitely proves is the need to study literary theory.

That’s why I’m writing this post reviewing Leif Weatherby’s book Language Machines, which makes the argument that the person to turn to in order to understand Large Language Models is Ferdinand de Saussure, the founder of structuralism who died in 1913. If you’re interested at all in these topics, I’d recommend buying Weatherby’s book here."

...

"Weatherby seems to reference, glancingly, memes as an example of that kind of modern rhetoric. Meme-making is a ritualized action that addresses interface, computation, language, and online publics in one fell swoop. One way rhetoric looks in this era, I think, is the manufacture of prefabricated mental packages which hold thoughts in the weird ooze of post, link, and comment section. Meme formats are one such shape.

Another kind of rhetoric might be thought to exist in theory itself — a set of formulas, of topoi, applied and rearranged into the world of culture. I speak from a niche experience here, but part of the pleasure of reading Language Machines was seeing Weatherby artfully stack, parse, and apply thinkers I’ve been interested in for years — Marx, Kittler, Srnicek, and Derrida especially. Ideas like differance or the commodity theory of value operate both on an explanatory level, but also on a kind of rhetorical one, where they have value as instruments for dislodging other kinds of thoughts, for orienting yourself (even if it’s an orientation by arguing against them) and putting stuff in context.

So I think as we search for a “real humanism” — one that lies in actual people and their tangled experiences of the world, rather than in some ideal, untouchable essence the computer can never replicate — we must be careful and playful in equal measure. Careful, because the stakes are high and the situation demands diligent work that watches closely. Playful, because in a moment when language has become “a service” on tap that constructs itself without the steering of a human hand, all the cliches, omissions, and biases that are coded within language will bloom unchecked like algae in an unmoving pond.

In the era of its autonomous construction, the task of deconstructing language — looking at language and saying “hold up a second,” Uno-reversing the binary, joking, probing, unpeeling — becomes even more important. Which is why I love Language Machines, and why the way forward must include poetry, rhetoric, and memes."]]></description>
<dc:subject>ai artificialintelligence language llms howwewrite leifweatherby aidanwalker 2026 writing literarytheory ferdinanddesaussure rolandbarthes jacquesderrida michelfoucault foucault chatgpt claude humanism noamchomsky wallacestevens rhetoric capitalism computation computing karlmarx poetry memes friedrichkittler nicksrnicek</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:c0b47892290e/</dc:identifier>
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</item>
<item rdf:about="https://www.theideasletter.org/essay/the-center-and-the-periphery/">
    <title>The Center and The Periphery - The Ideas Letter</title>
    <dc:date>2026-04-09T20:49:27+00:00</dc:date>
    <link>https://www.theideasletter.org/essay/the-center-and-the-periphery/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[[See also:
https://afraw.substack.com/p/the-center-and-the-periphery ]]]></description>
<dc:subject>afrawang 2026 ipodtouch jailbreaking 2010s technology china apple 2011 shenzhen computers computing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:d43b4dca8182/</dc:identifier>
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<item rdf:about="https://2ndbreakfast.audreywatters.com/miseducative-experiences/">
    <title>Miseducative Experiences</title>
    <dc:date>2026-04-05T05:38:11+00:00</dc:date>
    <link>https://2ndbreakfast.audreywatters.com/miseducative-experiences/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[""Tell me, what is it you plan to do/ with your one wild and precious life?"

Arguably and more than a little ironically, this may be one of the most frequently invoked lines of poetry on social media – I won't add "for better or worse," although I'm tempted to, because as much as I frown when art is reduced to meme, I'm never mad when I read Mary Oliver's words. How could I be? Just these two lines unlock other lines and other poems, and I'm always hopeful that their simplicity and accessibility and power will lure people into reading more. Not just more Mary Oliver, but more poetry of any and all sorts.

Poetry, after all, isn't something you can "optimize" -- neither its reading nor its writing -- and "optimization" seems to be the despairingly destructive driving force of our culture, an exercise that, if nothing else, serves to make our lives much much less beautiful and wild.

"Tell me, what is it you plan to do/ with your one wild and precious life?"

I ask this question -- "plead" may be the better verb -- of those who are spending an increasing amount of time typing to chatbots, who are handing over important cognitive tasks and key decisions -- personal and professional -- to "artificial intelligence." I ask this question -- "implore" even -- of those who are hunched over their laptops or their phones, those who are watching television on multiple screens, almost every waking minute of their day.

Because this is what you've decided to do with your one wild and precious life.

"I don't know exactly what a prayer is," Oliver admits in that same poem, but continues, "I do know how to pay attention, how to fall down / into the grass, how to kneel down in the grass, / how to be idle and blessed, how to stroll through the fields, / which is what I have been doing all day. / Tell me, what else should I have done?"

Tech writer Taylor Lorenz tells Wired she spends 17 hours a day online. She does not want to "touch grass," she insists. She's a 40-something year old woman; she can do what she wants.

"Tell me, what is it you plan to do/ with your one wild and precious life?"

What you decide to do with your one wild and precious life is up to you -- whether your prayers of devotion are to the computer or to "AI" or to social media and not, as Oliver might encourage us, to the grasshopper and other planetary intelligences.

What you decide to do with your one wild and precious life, where your attention and your prayers are directed, is also, of course, what you've opted not to do. And these decisions do, in fact, matter.

Lorenz (and plenty of others) like to argue that "there is no evidence" that social media (or the Internet or computers or ed-tech or television or video games or whatever) harms children – an exaggeration, no doubt, as there is evidence; they just don't like it. (They don't like Jonathan Haidt, to be specific. And I get that, I really do.)

Lorenz's latest newsletter cites the work of psychologist Christopher Ferguson, best known for his challenges to his field's prevailing research on video games: that there is a link between video games and aggressive behavior. Ferguson contends that claims about the relationship between violence and video games is not just exaggerated; it is non-existent, that is all merely a moral panic. This is the framing that Lorenz leans into with recent efforts to regulate social media too, which she explicitly links to the push to censor LGBTQ content online.

The right-wing movements that are actively seeking to ban books, eliminate academic departments, circumscribe what can be taught in the classroom, and yes, limit children's access to social media should not be ignored. Indeed, it is imperative that those who seek to curb Silicon Valley's power and influence over education and information delineate how their efforts are not politically aligned with the Moms of Liberty ilk.

But to frame any opposition to technology as a "moral panic" is a rhetorical sleight of hand in which one side gets to invoke "science" and "research" while dismissing the other as mere "hysteria." To dismiss people's concerns about what kids – any of us, really – are up to online as fundamentally reactionary, as censorious is more than a little disingenuous.

There is research (and plenty of it) that finds that various forms of new media – apps, games, and so on – affects us, affects how and what we think and know. I mean, of course it does. People are spending hour after hour after hour after hour – almost every waking minute of every day – clicking on things.

"Tell me, what is it you plan to do/ with your one wild and precious life?"

What we do with our time -- online or off -- matters, and profoundly so. Everything we do shapes who we are. Everything we experience shapes who we become.

This belief is at the core of progressive education – contrary to those accusations above that arguments against technology only come from right-wing zealots – and certainly this belief is at the core of the work of John Dewey. In Experience and Education, he too turns to poetry to make his point, citing Tennyson: "...all experience is an arch wherethro' / Gleams the untraveled world, whose margin shades / For ever and for ever when I move."

But as Dewey argues, not all experiences are necessarily educative; and as repeated experiences can become habits, we might find ourselves adopting patterns that are incredibly destructive not just to our own learning, but to our relationships with one another, with the world around us – destructive even to democracy. We might find ourselves having been fundamentally changed by the behaviorist practices and libertarian ideologies that undergird every single piece of computer technology we use.

"Tell me, what is it you plan to do/ with your one wild and precious life?"

At what point can you no longer even plan to do things with your one wild and precious life because these technologies have obliterated your ability to even imagine something outside their dictates, their designs for you?"]]></description>
<dc:subject>audreywatters 2026 maryoliver life living online internet taylorlorenz screentime socialmedia ai artificialintelligence jonathanhaidt christopherferguson videogames games gaming regulation siliconvalley power media moralpanic moralpanics influence newmedia addiction johndewey children teens youth education experience attention teaching learning howweteach howwelearn policy edtech chromebooks computers computing</dc:subject>
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<item rdf:about="https://www.theverge.com/tech/899623/apple-50-anniversary">
    <title>Apple turns 50: celebrating five decades of the tech giant | The Verge</title>
    <dc:date>2026-04-02T06:44:19+00:00</dc:date>
    <link>https://www.theverge.com/tech/899623/apple-50-anniversary</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Looking back at Apple’s biggest moments from the last five decades.

Fifty years ago, on April 1st, 1976, Apple Computer Company was founded. Today it’s one of the most valuable companies in the world, celebrated for producing ubiquitous products like the iPad and iPhone to now-nostalgia bait like the iPod Mini and PowerBook. Over the last five decades, the company has seen ups and downs but ultimately has left its mark on almost every part of our relationship with tech and culture, from entertainment to fitness to accessibility.

In this package, The Verge looks back at the impact of the tech giant over the last five decades — from the triumphs and failures of the Jobs eras to its current incarnation as an antitrust juggernaut. We reminisce about some of our favorite products and take a walk down memory lane to look back at some of The Verge’s earliest Apple coverage. (Plus, we’re community ranking our 50 favorite Apple products — join in!)"]]></description>
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<item rdf:about="https://undark.org/2026/04/01/sweden-schools-books/">
    <title>Why Swedish Schools Are Bringing Back Books</title>
    <dc:date>2026-04-02T05:38:06+00:00</dc:date>
    <link>https://undark.org/2026/04/01/sweden-schools-books/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Amid declining test scores, the country has pivoted away from screens and invested in back-to-basics school materials."

[Also posted here:

"Sweden goes back to basics, swapping screens for books in the classroom
Sweden is bringing back books amid declining test scores."
https://arstechnica.com/science/2026/04/sweden-goes-back-to-basics-swapping-screens-for-books-in-the-classroom/ ]]]></description>
<dc:subject>sweden schools schooling education 2026 joshuacohen howweread howwewrite reading writing books analog digital paper technology textbooks screens digitallearning learning howeelearn us policy openai microsoft google ai artificialintelligence digitalfluency chatbots memory readingcomprehension pandemic covid-19 coronavirus computers computing tablets ipad jaredcooneyhorvath jonathanhaidt pamkastner literacy lindafälth teaching howweteach pedagogy naominbaron linguistics edtech distraction attention</dc:subject>
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<item rdf:about="https://www.theverge.com/tech/905398/apple-iphone-anniversary-jobs-release">
    <title>Everything is iPhone now | The Verge</title>
    <dc:date>2026-04-02T00:52:37+00:00</dc:date>
    <link>https://www.theverge.com/tech/905398/apple-iphone-anniversary-jobs-release</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Most importantly, the first iPhone only ran on AT&T’s aging EDGE 2G network — but that exclusivity arrangement allowed Apple to insist upon full-featured Wi-Fi support and a real web browser, a combination no other smartphone on any other network allowed at the time. Most smartphones had neutered Wi-Fi to force expensive mobile data usage, but also had viciously limited web browsers to protect those networks from being overloaded.

To this day, it’s funny to watch the audience react to Jobs’ famous “this is not three devices” iPhone keynote bit — there are obvious cheers for “widescreen iPod with touch controls,” rapturous applause and hooting for “revolutionary mobile phone,” and then what amounts to confused, muffled applause for “breakthrough internet communications device.”

What was that? Well, that turned out to be everything, in the end. The whole world has reorganized itself around this breakthrough internet communications device. The iPod and phone might as well have been forgotten.

Publicly, the industry immediately bumbled its response: Everyone’s seen the famous clip of Microsoft’s then-CEO Steve Ballmer dismissing the iPhone as too expensive and missing a hardware keyboard. But in private it was clear that things had been upended. BlackBerry inventor Mike Lazaridis watched the iPhone introduction from his treadmill at home and realized in shock that the iPhone was destined to compete with laptops, not phones.

“They put a full web browser on that thing,” he told his co-CEO, Jim Balsillie, the next morning, according to the definitive book on RIM’s downfall. “The carriers aren’t letting us put a full browser on our products.”"]]></description>
<dc:subject>nilaypatel 2026 iphone 2007 computers computing smartphones stevejobs steveballmer microsoft blackberry mikelazaridis jimbalsillie internet web online rim communication</dc:subject>
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<item rdf:about="https://www.youtube.com/watch?v=LdraHToGS2k">
    <title>my favorite apple laptop ever | MacBook neo review (linux user) - YouTube</title>
    <dc:date>2026-04-01T05:26:38+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=LdraHToGS2k</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>macbookneo apple computers computing 2026 jvscholz linux mac jamesscholz</dc:subject>
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<item rdf:about="https://mjtsai.com/blog/2026/03/31/macbook-neo-reviews/">
    <title>Michael Tsai - Blog - MacBook Neo Reviews</title>
    <dc:date>2026-04-01T05:23:32+00:00</dc:date>
    <link>https://mjtsai.com/blog/2026/03/31/macbook-neo-reviews/</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>macbookneo apple laptops computers computing 206 mattbirchler jasonsnell stevetroughton-smith juliclover joerossingol ryanchitoffel gáborszárnyas andrewcunningham andyihnatko ruicarmo mgsiegler andreasosthoff johnvoorhees johngruber michaeltsai mac</dc:subject>
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<item rdf:about="https://www.fastcompany.com/91514404/apple-founding-50th-anniversary-apple-1-apple-ii-jobs-wozniak?mvgt=E5Loo3fO74zl">
    <title>How Apple became Apple: The definitive oral history of the company’s earliest days - Fast Company</title>
    <dc:date>2026-03-29T20:54:17+00:00</dc:date>
    <link>https://www.fastcompany.com/91514404/apple-founding-50th-anniversary-apple-1-apple-ii-jobs-wozniak?mvgt=E5Loo3fO74zl</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The true story of how Steve Jobs, Steve Wozniak, and other bright young tech hobbyists of the 1970s joined forces to ignite a revolution."]]></description>
<dc:subject>apple history 2026 1970s stevejobs stevewozniak computers computing personalcomputers harrymccracken 1976</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://samhenri.gold/blog/20260312-this-is-not-the-computer-for-you/">
    <title>“This Is Not The Computer For You” · Sam Henri Gold</title>
    <dc:date>2026-03-25T18:48:59+00:00</dc:date>
    <link>https://samhenri.gold/blog/20260312-this-is-not-the-computer-for-you/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["There is a certain kind of computer review that is really a permission slip. It tells you what you’re allowed to want. It locates you in a taxonomy — student, creative, professional, power user — and assigns you a product. It is helpful. It is responsible. It has very little interest in what you might become.

The MacBook Neo has attracted a lot of these reviews.

The consensus is reasonable: $599, A18 Pro, 8GB RAM, stripped-down I/O. A Chromebook killer, a first laptop, a sensible machine for sensible tasks. “If you are thinking about Xcode or Final Cut, this is not the computer for you.” The people saying this are not wrong. It is also not the point.

Nobody starts in the right place. You don’t begin with the correct tool and work sensibly within its constraints until you organically graduate to a more capable one. That is not how obsession works. Obsession works by taking whatever is available and pressing on it until it either breaks or reveals something. The machine’s limits become a map of the territory. You learn what computing actually costs by paying too much of it on hardware that can barely afford it.

I know this because I was running Final Cut Pro X on a 2006 Core 2 Duo iMac with 3GB RAM and 120GB of spinning rust. I was nine. I had no business doing this. I did it every day after school until my parents made me go to bed.

The machine came as a hand-me-down from my nana. She’d wiped it, set it up in her kitchen in Massachusetts. It was one software update away from getting the axe from Apple. I torrented Adobe CS5 the same week. Downloaded Xcode and dragged buttons and controls around in Interface Builder with no understanding of what I was looking at. I edited SystemVersion.plist to make the “About this Mac” window say it was running Mac OS 69, which is the s*x number, which is very funny. I faked being sick to watch WWDC 2011 — Steve Jobs’ last keynote — and clapped alone in my room when the audience clapped, and rebuilt his slides in Keynote afterward because I wanted to understand how he’d made them feel that way.

I knew the machine was wrong for what I wanted to do with it. I didn’t care. Every limitation was just the edge of something I hadn’t figured out yet. It was green fields and blue skies.

I thought about all of this when I opened the Neo for the first time.

What Apple put inside the Neo is the complete behavioral contract of the Mac. Not a Mac Lite. Not a browser in a laptop costume. The same macOS, the same APIs, the same Neural Engine, the same weird byzantine AppKit controls that haven’t meaningfully changed since the NeXT era. The ability to disable SIP and install some fuck-ass system modification you saw in a YouTube tutorial. All of it, at $599.

They cut the things that are, apparently, not the Mac. MagSafe. ProMotion. M-series silicon. Port bandwidth. Configurable memory. What remains is the Retina display, the aluminum, the keyboard, and the full software platform. I held it and thought, “yep, still a Mac.”

Yes, you will hit the limits of this machine. 8GB of RAM and a phone chip will see to that. But the limits you hit on the Neo are resource limits — memory is finite, silicon has a clock speed, processes cost something. You are learning physics. A Chromebook doesn’t teach you that. A Chromebook’s ceiling is made of web browser, and the things you run into are not the edges of computing but the edges of a product category designed to save you from yourself. The kid who tries to run Blender on a Chromebook doesn’t learn that his machine can’t handle it. He learns that Google decided he’s not allowed to. Those are completely different lessons.

Somewhere a kid is saving up for this. He has read every review. Watched the introduction video four or five times. Looked up every spec, every benchmark, every footnote. He has probably walked into an Apple Store and interrogated an employee about it ad nauseam. He knows the consensus. He knows it’s probably not the right tool for everything he wants to do.

He has decided he’ll be fine.

This computer is not for the people writing those reviews — people who already have the MacBook Pro, who have the professional context, who are optimizing at the margin. This computer is for the kid who doesn’t have a margin to optimize. Who can’t wait for the right tool to materialize. Who is going to take what’s available and push it until it breaks and learn something permanent from the breaking.

He is going to go through System Settings, panel by panel, and adjust everything he can adjust just to see how he likes it. He is going to make a folder called “Projects” with nothing in it. He is going to download Blender because someone on Reddit said it was free, and then stare at the interface for forty-five minutes. He is going to open GarageBand and make something that is not a song. He is going to take screenshots of fonts he likes and put them in a folder called “cool fonts” and not know why. Then he is going to have Blender and GarageBand and Safari and Xcode all open at once, not because he’s working in all of them but because he doesn’t know you’re not supposed to do that, and the machine is going to get hot and slow and he is going to learn what the spinning beachball cursor means. None of this will look, from the outside, like the beginning of anything. But one of those things is going to stick longer than the others. He won’t know which one until later. He’ll just know he keeps opening it.

That is not a bug in how he’s using the computer. That is the entire mechanism by which a kid becomes a developer. Or a designer. Or a filmmaker. Or whatever it is that comes after spending thousands of hours alone in a room with a machine that was never quite right for what you were asking of it.

I was that kid.

He knows it’s probably not the right tool. It doesn’t matter. It never did.

The reviews can tell you what a computer is for. They have very little interest in what you might become because of one."


[Feels like that fourth paragraph is a metaphor for a lot of things, like cities, like how children grow, like governments and civilizations, how change comes over time. We learn what is by bumping up against its edges and then we can be part of the conversation about what can or should come next and the process of making it. The Child Is the City × The City Is the Child]]]></description>
<dc:subject>macbookneo apple computers computing 2026 samhenrigold obsessions howwelearn tools machines learning limits limitations understanding boundaries howwework beginnersmind mac</dc:subject>
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<item rdf:about="https://kneelingbus.substack.com/p/remembering-some-guys">
    <title>Remembering Some Guys - by Drew Austin - Kneeling Bus</title>
    <dc:date>2026-03-25T06:39:47+00:00</dc:date>
    <link>https://kneelingbus.substack.com/p/remembering-some-guys</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Computers will never beat humans at pointlessness"

...

"I just found out about this guy on TikTok who looks for moments in TV shows and movies where there’s a screen in the background of a scene that happens to be showing a sporting event (usually for only a few seconds) and figures out which exact game it was. His final effort, posted a few years ago, involved identifying a college baseball game that appeared on a TV behind a bar in one of the last episodes of The Office, a challenge that his followers believed would be impossible. Starting with the few scraps of information available—the uniform colors, the appearance of the stadium seats, the possible date range—he proceeds to narrow it down further by combing through hundreds if not thousands of teams at the lowest levels of college baseball, a process he describes as “mind numbing,” eventually somehow finding that this is a junior college game between Montgomery College Germantown and Montgomery College Rockville. He then watches the whole game, which was uploaded to YouTube in 2008, and finds the exact frame that appears in the Office episode, a moment that elicits a great frisson. It’s one of the more entertaining examples of a broad genre of internet content, epitomized by GeoGuessr, which makes a game or sport out of grappling with the unfathomable surfeit of information that saturates contemporary life—a pure expression of the desire to merge oneself with the roaring media stream, to play a small role in all the pointless sorting of bits, to do manually and visibly what has become mostly automatic, unseen, and instantaneous.

The aforementioned TikTok exhibits many of the qualities that define life on the internet today: the confrontation with vast troves of data, the crossover between distinct cinematic universes, and above all, a narrowing of perspective—pointlessness taken to the extreme. At a moment when computers are poised to not only perform this kind of task in mere milliseconds, but to take over our day jobs and hobbies as well, it’s somehow even more thrilling to see a human do it. We might expect this ruthless computer logic to eventually pull everything into its grand deterministic machine, but the crooked timber of humanity is poor scaffolding for such a project; for every fully rationalized system that emerges, expect a corresponding increase in nonsense, horseplay, and mysticism. What is prediction market betting if not stubbornly spurning the hive mind’s consensus to assert your own unique but flawed perspective? A pessimistic assessment of this situation is that humans will eventually just be the decorative ornamentation for the digital Stack—a hypothesis that an hour or two watching TikTok certainly supports—but at least that’s something we’re good at. AI might rugpull your productive value to society but will it ever know why it’s amusing to waste hundreds of hours sifting through the warehouses of pop culture detritus to find a single throwaway frame from an ‘00s TV show? That’s the kind of meaning that only humans can create.

I recently rewatched High Fidelity, the 2000 film adaptation of Nick Hornby’s 1995 novel about a guy named Rob who owns a record store and obsessively discusses music and pop culture with everyone he knows. My friend called it the last movie before the internet. In one scene that stood out this time, a TV show comes up in conversation when Rob is on a date, causing him to frantically gesticulate and ultimately interrupt his friends as he tries to remember the actor who starred in the show (McGoohan!). For generations who came of age during the ‘90s and early ‘00s, amassing such encyclopedic knowledge of pop culture and being able to spontaneously retrieve it in social situations was important in a way that seems increasingly absurd (and, let’s be honest, often seemed absurd back then too, something High Fidelity captures). The twilight of the analog fostered a relationship to media that would seemingly become obsolete once everyone had a smartphone and could Google every factoid that no longer needed to reside in their minimally-furnished memory—but that knowledge paradoxically feels even more valuable now, however anachronistic. Remembering Some Guys is great conversation, and hunting down a baseball game from an old Office episode is great content, specifically because of what about them continues to elude technology. Look at what computers are automating now to predict what humans will stubbornly insist on still doing for fun ten years from now."]]></description>
<dc:subject>human humans humanism computers computing pointlessness drewaustin 2026 humanity automation media analong internet obsessions</dc:subject>
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<item rdf:about="https://nautil.us/the-internet-has-not-killed-reading-or-attention-spans-1279171">
    <title>The Internet Has Not Killed Reading—or Attention Spans</title>
    <dc:date>2026-03-25T05:46:19+00:00</dc:date>
    <link>https://nautil.us/the-internet-has-not-killed-reading-or-attention-spans-1279171</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["An interview with Kevin Ashton, MIT technology pioneer and author of The Story of Stories"

...

"British author and technology pioneer Kevin Ashton has been puzzling over the nature of storytelling for the past 25 years. That’s how long it took him to research and write his latest book, The Story of Stories: The Million-Year History of a Uniquely Human Art.

The first seed of the book for Ashton lay in two seemingly contradictory questions posed by American philosopher and linguist Noam Chomsky. The first, known as Plato’s problem, asks how we can know so much with so little information. Babies, for instance, learn to speak based on what might seem like a poverty of inputs. The second question is known as Orwell’s problem, and it asks the opposite: How could we know so little, given that so much information is available to us?

Ashton—best known for coining the term “The Internet of Things” in 1999, to describe the rise of a whole economy of sensors and other objects connected to the World Wide Web—also began asking himself how the rise of the smartphone might transform the human relationship to storytelling and to the world. “By the mid 2010s, I could be pretty confident that by 2026, some 9 out of 10 people in the world would have a smartphone, and I wanted to know what that might mean,” he recently told me. “The smartphone was an incremental step in the developed world, but in the developing world, it was everything at once.” In the developing world, most people had skipped over radio, television, personal computers.

Ashton knew a revolution was coming. But to grasp what that revolution would look like required him to go back and understand the entire evolution of storytelling across human history—which was initially just a footnote in his research.

I recently spoke with Ashton about why cell phones are so revolutionary in the long history of storytelling technologies, why social media might not be as terrible for young people as some believe, why long-form narratives aren’t dead, and why he’s still hopeful about our newest storytelling technologies.

You divide The Story of Stories into two parts: the first act, which is a million years long and comes to its end with the smartphone, and then everything after that. What is so fundamentally different about the smartphone from earlier storytelling technology?

A lot of people are like, “New technology comes along, and kids can’t understand stories anymore. Kids can’t read, nobody talks, bad things happen, words change, and nobody’s got any attention.” And that didn’t stand up to research very well. But what I did realize was that these major new technologies, each change the scale of storytelling: How many people can tell stories, and how many people they can tell stories to. That started to look really interesting. I was beginning to realize that big new storytelling technology generally leads to big new revolutions.

Of course, one of the early ones is printing. We didn’t all read happily ever after because of printing. There were like 50 or so wars between Protestants and Catholics over whose story was right, and 12 million people were killed. That’s an example of the kind of revolution that happens when new stories become more broadly available. The smartphone really feels like the end of that arc, because now anybody can tell a story to anybody. There is someone in Mongolia right now using Facebook, and if they publish something viral enough and interesting enough that catches enough attention, it’s five shares away from being something everybody sees.

You write in the book that storytelling is uniquely human. Do we know for sure that other species don’t tell stories?

You don’t really see any symbolic behavior in other species. All species communicate, but very few species communicate through visual means. Crows do a little bit of pointing. Dogs can understand humans pointing. But wolves don’t use pointing in the wild. They will mark the ground and use urine for signaling behavior, most of which is olfactory. But what you don’t get is any rigid system where a scratch like this means one thing, or a scratch like that means another thing. And vocalizations are primarily calls and cries that convey warning or attraction. A lot of the information in those sounds is how big is the person making the call or the cry? How old or young is the person making the call or the cry? So there’s nothing remotely like storytelling or story comprehension in any species that we’ve ever studied or discovered.

Humans started telling stories when we sat around the fires. We were primates who wanted to socialize. We couldn’t see gestures. We started making sounds. The sounds we had were, “Look over there,” and “Oh my god, run.” And those sounds were actually very useful sitting around the fire. What you want to talk about around the fire is stuff that’s not there. Maybe it’s about tomorrow or yesterday or something you remember, or something you imagine or something you desire. Over a long period of time, hundreds of hundreds of thousands of years, those sounds start to evolve into something which becomes language. And the reason they evolved into language was so that we could have these conversations about things not present, which is storytelling.

You argue that a fundamental purpose of stories is to distribute glory and shame, in the form of heroes and villains. But literary critics might argue that good stories don’t have clear-cut heroes and villains. They have antiheroes. They have gray areas rather than certainties.

We have to distinguish between stories that tend to be long lasting and successful when told to large audiences—and ones that are not. In successful stories, the antiheroes are still heroes. Batman still saves Gotham City. He just does it wearing black. An antihero isn’t a villain. And there are no anti-villains. The antihero exists as a reaction to the heroic archetype, the pure goody-two-shoes heroes that were in earlier stories. The tweedy literary people in their Brooklyn brownstones who try to write stories where it’s very ambiguous who’s the good guy or the bad guy—it’s all a bit muddled, but there’s still someone you’re supposed to be rooting for. There’s still someone the author identifies with. You cannot tell a story that anyone will enjoy if there’s absolutely nobody doing anything virtuous at any stage. That wouldn’t be a compelling story. But really, the more emotion a story evokes, the better the story. Different things evoke different emotions in different people. But these more experimental white guy books that everyone pretends they read where nothing ever happens …

Like which ones?

I’m not going to name any names! But if you’re not evoking an emotion, you aren’t going to find a lot of readers. A lot of people who want to be high-art storytellers will experiment: “Well, what if they take out these elements? What am I left with? How does it work?” My answer is generally it’s an intellectually interesting exercise that I don’t want to return to. Depending on what kind of mood I’m in, I sometimes have some very salty conversations with literary critics.

Read more: “We Can Be Heroes”

If storytelling has been so utterly transformed by these new technologies, why do the earliest forms of storytelling stick around? People are constantly saying, poetry is dead, novels are dead, but they aren’t dead. They don’t go away even though we keep getting new storytelling technologies. Why do you think that is?

The real deep answer is we’re exactly the same people with exactly the same brains and behaviors that we were 100,000 years ago or more when storytelling first evolved. The things that appeal to us about stories today are the things that appealed to our ancestors. That hasn’t changed. The hard-wiring is the same. And more people can read than ever before. More novels are being sold than ever before.

I’ve been talking about this a long time because I get really tired of this old post-literate world thing. Marshall McLuhan was declaring the world post-literate when only 40 percent of people could read. Give me a break. We live in a world right now where there’s been a democratization of reading, an egalitarianism of reading. People who like romance and fantasy books are writing their own romance and fantasy books and they’re self-publishing them. And some of them get the attention of traditional publishers and become very successful.

I’m not generally very welcome on panel discussions, but you get, “The kids these days, they have no attention spans.” And: “The kids these days, they’re always looking at their phones.” And I’m like, “Well, hang on a minute. Both of those things can’t be true.” Either they have no attention or they can’t stop looking at their phones, by which you mean paying a lot of attention to their phones. What’s on their phones is words, most of the time, even if you go look at some dumb TikTok video, they put words on top of things. There are captions that help it make more sense when they’re communicating with one another. They’re sending text messages. Children today are writing more words than you or I did when we were teenagers.

The other day I was talking to an educator, and they asked, “What do you think about AI? It’s writing all the essays.” My reply is, “I think you should stop assigning people essays.” Why has nobody come up with this idea? Tell the students, “I want you to do the reading, and then you and I are going to sit down for five minutes, one-on-one, and we’re going to talk about it.” That solves the whole freaking problem.

But if our brains haven’t changed since we first started writing down and consuming stories, wouldn’t it be a good thing to continue to write essays? Evidence suggests writing is such an important part of the thinking process.

Writing is just a technology of story. It’s one of the earliest technologies of story. And older people always hold the things that they did when they were kids in higher regard. I’m a writer. I write books. I love writing. I can talk for days about why writing is good and why books are good, but are they better than everything else? That’s an unchallenged assumption based on the fact that it’s old and not based on the fact that it’s better.

The standard academic essay is an example of what Paulo Freire called banking education. The teacher deposits a question; the student retrieves content, formats it per conventions, returns it for grading. The product is assessed, not the thinking that was supposed to happen in the middle. What the essay actually measures is socioeconomic class and family income. Essay content and style correlate more strongly with household income than even SAT scores. Higher-income students deploy abstract reflection, complex syntax, and so on, not because they think more clearly, but because those conventions are part of their linguistic inheritance. Lower-income students write differently, not worse, but get marked down. And here’s the kicker: Rich kids have always been able to pay tutors, writing coaches, and consultants to help them write essays. AI has simply made that service free and universal. The scandal isn’t that students aren’t writing their own essays. The scandal is that we’re only worrying about the problem now that the cheat is available to everyone.

What about long-form versus very short-form storytelling? Can a 5-second post on a social media app really sustain attention or require you to think about ideas in the way that a novel or a nonfiction book would?

You can get equally enthralled by a short story and a 10-book series. Martin Luther’s 95 Theses was this one-page document. The first viral meme broke the world’s greatest power at the time—the Roman Catholic Church—in two. It really isn’t how you say it, it’s what you say. If you’re going to write long-form, you have to do it well. If you’re going to write short-form, you have to do it well. All of that stuff seems values-neutral to me.

But also, social media content isn’t always short-form. A teenager spending three hours on social media might be watching long-form YouTube essays, reading Reddit threads, participating in BookTok, or creating content. Collapsing all of that into a single variable and drawing conclusions about format isn’t justified. The most popular YouTube creators built massive audiences on long-form content. PewDiePie—110 million subscribers, nearly 30 billion total views—averages 28 minutes per video, more than double the platform average. Penguinz0, who has 17.5 million subscribers and 12 billion views, averages 27 to 60 minutes per video depending on measurement window. The generation supposedly incapable of sustained attention built two of YouTube's largest channels on content running 30-60 minutes per video.

And long-form reading is booming. United States young adult print sales went from approximately 23 million copies in 2018 when TikTok launched to a record 35 million in 2022, a 52-percent increase. Sales in 2024 remain 31 percent above 2018 levels. The primary driver of that growth, according to Circana BookScan, was TikTok. Those 30 million annual copies average roughly 70,000 words each, approximately 2 trillion words, of long-form reading per year in a single book category, from a generation supposedly incapable of sustained attention. That’s about the same number of words per capita as any other age group. Americans aged 11-18 read about one novel a year on average. So do Americans over 19.

Read more: “Our Brains Tell Stories So We Can Live”

What about recent studies that suggest kids’ social media use is linked to lower memory, vocabulary, and reading scores?
The claim that social media is measurably harming cognition isn’t supported by the evidence. The one genuinely controlled experimental result is a 2023 study, which found TikTok degraded prospective memory. Specifically, the ability to remember to execute a planned intention—in a between-subjects design—while Twitter, YouTube, and a no-activity control did not. This is a real finding. But it measures one narrow cognitive function under artificial lab conditions, not, say, reading, vocabulary, critical thinking, or abstract reasoning. 

Assessments like reading scores don’t measure things like narrative construction, persuasive communication, editing judgment, or audience awareness, all of which content creation develops. Participation matters. TikTok follows the 90-9-1 pattern common to all interactive media. One percent create, 9 percent interact and the rest read, watch, or whatever. But on a platform with 150 million U.S. users, even 1 percent is 1.5 million American content producers. And the 9 percent who comment, stitch, and duet are doing something cognitively active.

Research from University of Oxford experimental psychologists Amy Orben and Andrew Przybylski suggests technology use explains only around 0.4 percent of variation in adolescent well-being. The concern about bedtime screens, often treated as established fact, wasn’t supported when measured properly. Cognitive psychologist Lan Nguyen and colleagues reviewed some 100,000 participants and found a moderate correlation between short-form video and poorer attentional performance, but the causal direction isn’t proven: Children with pre-existing attention difficulties may gravitate toward high-stimulation short-form content, producing the observed correlation without any platform effect.

You write that critical literacy—the ability to look at the context of a story, to ask follow-up questions, to recognize that everybody tells you something with an agenda, is the only way to protect yourself from manipulation today. Is anyone successfully teaching critical literacy?

The way I conclude the book is, “No one is coming to save us.” We ourselves have to get more humble, more experienced, recognize our own cognitive biases, recognize when we’re mad about something because we forgot to eat breakfast, and actually understand that we see the world in stories. People often think, “What he’s saying to me is, ‘I’m already a good critical thinker, but I’ve gotta help the other people.’” But no, I’m saying “I, Kevin, have to get better at it. And you, Kristen, have to get better at it.” One of my favorite cognitive biases is bias blindness: People who know there are cognitive biases, but are absolutely convinced these biases don’t apply to them.

It seems like you’re hopeful, though, that this new era of storytelling can bring about progress of some kind.

It already has. I have a nice little chart that I show when I talk about the book. Even today, about 2 to 3 percent of the silent generation will identify as gay, lesbian, bisexual, or trans. It’s about the same for the Boomer generation, and it’s a little bit more for Generation X. But for millennials, it’s about 15 percent, and for Gen Z, it’s about 25 percent. A lot of that has roots in the Internet becoming a place where people could find one another and build community and learn to come out. You see supportive groups forming that allow people to be themselves.

The trans revolution, a historic movement that we’re now living through, is in many ways a result of the Internet and digital photography allowing people to tell their stories more loudly and more clearly than they could before. And a lot of the horrible things in the world are backlash against that. We look at this horrible Epstein situation and it’s all terrible, but the fact of the matter is that in the 1950s, that just would’ve been no big deal. We see a lot of progress. Particularly right now, we can rightly and reasonably get very focused on the backlash to the progress, but they can’t reverse it all the way. 

I can absolutely guarantee you that the Supreme Court will not reverse the miscegenation laws that prevented Black and white people from getting married in the late 1960s, because Clarence Thomas is a Black man married to a white woman. There are a lot of horrible, bloody, brutal things that happen because we made progress. And some of them push us back a little way, but they never push us back all the way."]]></description>
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    <title>Orbital data centers, part 1: There’s no way this is economically viable, right? - Ars Technica</title>
    <dc:date>2026-03-24T21:06:14+00:00</dc:date>
    <link>https://arstechnica.com/space/2026/03/orbital-data-centers-part-1-theres-no-way-this-is-economically-viable-right/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["“This is not physically impossible; it’s only a question of whether this is a rational thing.”"]]></description>
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    <title>The Marketing Tricks of &quot;Artificial Intelligence&quot; - YouTube</title>
    <dc:date>2026-03-24T06:56:40+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=UwBZiuH-1QY</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["This week, Sam talks to Emily Bender and Alex Hanna about the marketing ploys of “artificial intelligence,” why ridicule works to keep big tech’s claims in check, and what makes them hopeful for the future. They’re the authors of The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want.

Dr. Alex Hanna is a writer and sociologist of technology, labor, and politics. She’s the Director of Research at the Distributed AI Research Institute (DAIR) and a Lecturer in the School of Information at the University of California Berkeley. Dr. Emily M. Bender is a Professor of Linguistics at the University of Washington where she is also the Faculty Director of the Computational Linguistics Master of Science program and affiliate faculty in the School of Computer Science and Engineering and the Information School.

They also host the The Mystery AI Hype Theater 3000 podcast which “deflates AI hype and draws attention to the real harms of the automation technologies we call ‘artificial intelligence’.” 

- The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want: https://thecon.ai/

- The Mystery AI Hype Theater 3000 podcast: https://www.dair-institute.org/maiht3k/

- Flood of AI-Generated Submissions ‘Final Straw’ for Small 22-Year-Old Publisher: https://www.404media.co/bards-and-sages-closing-ai-generated-writing/

- Emily’s cartoon: https://bsky.app/profile/emilymbender.bsky.social/post/3mgmx232j2u2k

- Questioning the Normalization of Surveillance by the Center on Privacy & Technology at Georgetown:  https://medium.com/center-on-privacy-technology/questioning-the-normalization-of-surveillance-6a9c2f58c017 

- You Are Not a Parrot at NY Mag: https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html

[See also:

"Ridicule as Praxis (with Emily Bender and Alex Hanna)
Why ridicule works to keep big tech’s claims in check, and what makes us hopeful for the future."
https://www.404media.co/ridicule-as-praxis-with-emily-bender-and-alex-hanna/ ]"]]></description>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["Ghost in the Machine director Valerie Veatch wants you to understand how race science has shaped this moment in tech."

[trailer:
https://www.youtube.com/watch?v=i9DAv0D7tnY ]]]></description>
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<item rdf:about="https://aeon.co/essays/if-we-hope-to-build-artificial-souls-where-should-we-start">
    <title>If we hope to build artificial souls, where should we start? | Aeon Essays</title>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["As the 18th-century war between mechanism and romanticism returns, we face a new question: can we build artificial souls?"]]></description>
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    <title>New Wave Hardware (Interconnected)</title>
    <dc:date>2026-03-13T06:13:04+00:00</dc:date>
    <link>https://interconnected.org/home/2026/03/12/nwh</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>mattwebb computers computing 2026 hardware software ui ux ai artificialintelligence clayshirky situated context interface interfaces interaction oda</dc:subject>
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</item>
<item rdf:about="https://2ndbreakfast.audreywatters.com/there-is-no-human-centered-ai/">
    <title>There is No &quot;Human-Centered 'AI'&quot;</title>
    <dc:date>2026-03-07T21:27:46+00:00</dc:date>
    <link>https://2ndbreakfast.audreywatters.com/there-is-no-human-centered-ai/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Two recently-published reports use the same phrase – “human-centered AI” – urging schools to adopt automated and predictive technologies that, as The 74’s Greg Toppo reports, “serve human-centered learning [and] that doesn’t simply push for more efficiency. To do anything else risks creating a generation of young people ill-equipped for the future.”

“Human-centered ‘AI’.” What the hell does that even mean?

As you might guess, whenever these sorts of reports are released -- one sponsored by an AI training group and one by an education reform think-tank – it means “get out your wallet.” It means “AI literacy” and “AI training” and the pretense of a kinder and friendly ed-tech future, one bursting with “innovation” and “redesign” and (of course) “workforce readiness.” We can’t let “big tech” dictate the shape of “AI” in schools, these reports suggest; we can’t let the cult of efficiency drive decision-making – schools’ or students’. But I’m not sure we can take their assertions all that seriously because in the end, they insist that “AI” is inevitable, and schools and students have little choice but to submit. There's no space for refusal.

“Human-centered.” It's a powerful adjectival phrase, cleverly wielded here; and much like “personalized” in “personalized learning”, it appeals to people who haven’t looked all that closely at the fine print. One can readily append these terms – "personalized," "human-centered" – in front of a technology, in front of a product and obscure that what’s happening is actually anything but.

“Human-centered ‘AI’.” Which humans are we talking about here? Surely not the “ghost workers” tasked with labeling and training these systems -- who perform critical, skilled work with low pay, no benefits, no job security and who are exposed daily to violent, harmful content. Surely not the communities who live near data centers and their power plants, who suffer from soaring energy costs and environmental pollution. Surely not the people who are victims of AI-generated CSAM -- a growing problem among children and at school. Surely not the families who are being targeted by ICE’s adoption of AI surveillance tools. Surely not those who’ve seen loved ones triggered by chatbots into destructive, delusional thinking, into suicide. Surely not the workers being told they're being replaced. Surely not those designated as targets by the military’s use of AI, including, yes, Anthropic’s Claude (“Anthropic has much more in common with the Department of War than we have differences,” Anthropic’s CEO wrote this week.)

Which “humans” are going to receive some sort of “human-centered ‘AI’”? I dare say none of us.

***

“But what about the good uses of computers?” People ask me this question all the time, often complaining that I don't write enough nice things about ed-tech. There must be good, they plead. Please let there be something good.

It’s the wrong question and perhaps even the wrong impulse – all predicated on the ideology of the computer as a neutral object, as a piece of malleable clay that can be shaped and reshaped, bent towards the desires of the users and away from the designs of industry, away from its original mission: a weapon of war.

Since giving my talk on Wednesday to a group of retired teachers, I’m still thinking about the stories we tell about computers and “AI” and the ways in which these almost inevitably diminish our belief in our own human capacities. Of course, that’s a crucial part of the marketing for “AI” – it is a technology of ranking machine over human in no small part because “intelligence” is entangled with eugenics, with ranking certain humans over others. These stories don’t just occur in science fiction; they’re part of policy initiatives and policy rationales too. They’re core to the neoliberal project, so well-documented in Daniel Greene’s book The Promise of Access, that has come to dominate how we think about public institutions like schools and libraries: no need to fund these, no need to staff these, as everyone can just use the computer and the Internet instead.

We could structure society differently. We could have different funding priorities, different staffing priorities. We could have smaller classrooms. We could have more certified teachers and translators and aides in each of them. We could have more librarians and more nurses. Every child could have their own tutor, their own human tutor. Why the hell not?

Because we don't believe we can. We can, but we're told repeatedly that the best we can hope for is "human-centered 'AI'" or some such expensive, inferior substitute.

It always strikes me as such an utter failure of the imagination when people dust off some Cold War-era science fiction fantasy about the future. These are old stories. These are old visions. They're not that great! And none of the gadgetry supposedly inspired by these stories is all that great either. None of this “AI” stuff really works reliably. (Apps, WiFi, phones, servers, websites, laptops, printers – they're all janky AF.) And yet the people who wave their hands and talk about some magical “AI” future insist they're the realists; and the ones who want to fund schools and not the military, who want to hire teachers not buy tech gadgets, who want to build a future that cares for people not profits – we’re the dreamers; we’re the crazy ones."]]></description>
<dc:subject>audreywatters 2026 ai artificialintelligence edtech technology policy society computers computing education schools schooling humans humanism humanity ailiteracy ice surveillance labor work workers anthropic gregtoppo personalization peronalizedlearning learning claude darioamodei war weapons eugenics scifi sciencefiction</dc:subject>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=hxHkNToXga8">
    <title>HyperCard Changed Everything - YouTube</title>
    <dc:date>2026-03-04T00:16:19+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=hxHkNToXga8</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Before the web, there was HyperCard. It gave ordinary people the power to create, to explore – and even led to the best-selling computer game of all time. So, what happened to it? 

This video was a ton of work, and I'd like to thank archive.org as well as Epidemic Sound. I'd also like to thank all of the computing pioneers who've made this possible. Without them, this video would not exist. 

I did my best to make this video as accurate as possible. If anything is misrepresented, please let me know in the comments! 

And finally, if you enjoy this please like & subscribe to help grow this channel so that I can continue making videos like this. It means a lot, thank you!"

[via:
https://kottke.org/26/03/hypercard-changed-everything ]]]></description>
<dc:subject>2026 hypercard apple computers computing dreamwieber vannevarbush memex billatkinson</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:7524d9dc4a5a/</dc:identifier>
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</item>
<item rdf:about="https://aftermath.site/ram-prices-hdd-prices-ai-bubble-computer-expensive/">
    <title>I’m Tired Of These Useless Jackasses Making The Computer Expensive</title>
    <dc:date>2026-02-23T06:38:59+00:00</dc:date>
    <link>https://aftermath.site/ram-prices-hdd-prices-ai-bubble-computer-expensive/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["RAM, flash memory, and HDDs are unaffordable because of a bunch of greedy idiots that do not love the computer."]]></description>
<dc:subject>chrisperson computers computing 2026 ai artificialintelligence greed economics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:63c254a175b0/</dc:identifier>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=XNEHP6qFeCs">
    <title>The machine that changed our understanding of human history - Max G. Levy - YouTube</title>
    <dc:date>2026-02-18T07:25:47+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=XNEHP6qFeCs</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In 1900, Greek divers stumbled upon a 2,000-year-old shipwreck whose contents would shake our understanding of the ancient world. Among the remains were fragments of mangled wood and corroded metal, which archaeologists soon realized were parts of the oldest geared device ever discovered — and humankind’s first computer. So, how did it work? Max G. Levy explains the Antikythera mechanism.

Lesson by Max G. Levy, directed by Vicente Numpaque, Hernando Bahamon, Globizco Studios."]]></description>
<dc:subject>antikytheramechanism computing computers ancientgreece maxlevy vicentenumpaque hernandobahamon mechanics computation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=tLS6WSxqnAs">
    <title>An Introduction to River Computer - The Fold, SF, 12/1/25 - YouTube</title>
    <dc:date>2026-02-16T04:33:55+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=tLS6WSxqnAs</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Austin Wade Smith and Will Gardiner introduce River Computer, a design / dev studio prototyping new interfaces between living and digital networks.  A salon in 3 parts

0:00 - preamble 

1:27 - Introduction to River Computer Mythology
• How we came into being
• Some Assumptions

21:44 - Computational Diversity on a Dying Planet
• Evading Cognitive Monocultures
• New Earth Contracts

29:07 - Applications and Prototypes
• Wind Trust
• Living Covenants"]]></description>
<dc:subject>austinwadesmith willgardiner rivercomputer computing computers networks computation 2025 via:lukas rivers</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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</item>
<item rdf:about="https://www.theideasletter.org/issue/eternal-recurrences/">
    <title>Eternal Recurrences - The Ideas Letter</title>
    <dc:date>2026-02-16T01:17:17+00:00</dc:date>
    <link>https://www.theideasletter.org/issue/eternal-recurrences/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Evgeny Morozov knows how to theorize (and, a fortiori, how to intellectually provoke) like few other mortals. The elegance of his argumentation and the sophistication of his critiques are legendary. Several issues back, Morozov [https://www.theideasletter.org/essay/socialism-after-ai/ ] launched a grenade by suggesting that socialist attempts to harness AI have treated it like other basic tools of capitalist production—as a neutral instrument that can simply be redirected—rather than as a transformative force that actively shapes social values and human capacities.

We now have two responses to Morozov’s original essay, one from the Cornell historian Aaron Benanav [https://www.theideasletter.org/essay/a-real-political-economy-of-technology/ ], a target of Morozov’s earlier salvo, and another from the NYU scholar Leif Weatherby [https://www.theideasletter.org/essay/automate-the-c-suite/ ]. For Benanav, humanity stands between two technological revolutions—generative AI and the green energy transition—and how we choose between them will determine the shape of the future.  His essay develops a broader project of designing a post-capitalist “multidimensional economy” (for more see his coruscating essays in New Left Review [newleftreview.org/issues/ii153/articles/aaron-benanav-beyond-capitalism-1 ] this past year ) while rebutting Morozov’s claim that such a framework would stifle technological “worldmaking.” 

Weatherby, who looks at both Morozov and Benanav, argues that contemporary Marxist and socialist analyses of technology fail to engage adequately with the entanglement between technological rationality and capitalist ideology. To understand AI and the digital economy, Weatherby suggests, one must see them as the logical outcomes of a longstanding merger between mathematics, computation, and neoliberal governance—a fusion that has turned “optimization” into both the logic and the theology of capitalism itself.

Morozov [https://www.theideasletter.org/essay/the-socialist-charcuterie-board/ ] responds in analytically stentorian tones asserting misrepresentation. His rebuttal is a blistering defense of his original essay on socialism and AI. Morozov accuses Benanav of no less than misreading his arguments, erecting straw men, and evading core challenges. His piece blends close textual analysis and cultural critique to argue that Benanav’s institutional blueprint remains trapped in capitalist categories and fails to inspire a desirable post-capitalist life.

Our curated section puts forward two stellar pieces from a recent issue of the London Review of Books, both of which we deem to be required reading. The first, from the acclaimed writer and critic Adam Shatz [https://www.lrb.co.uk/the-paper/v48/n02/adam-shatz/another-country ], is a magisterial tour d’horizon of the parlous state of the United States, where imperial monstrosity is coupled with racial violence, yet where an underlying promise of sublime innovation and cosmopolitan possibility somehow remain.

The second is an essay by Iza Ding [https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful ] in which she examines meritocracy’s enduring failures in both China and the US. Ding interweaves historical context and philosophical reflections to argue that high-stakes exams like the gaokao perpetuate inequality under the guise of fairness while fueling global disillusionment with elite selection systems. The lessons for today are myriad.

Our musical selection for Issue 57 comes from Maurice Ravel, that great master of orchestral precision and vivid color. Our focus is on the adagio from his second piano concerto. The music is hypnotic—both intimate and timeless. Nobody owns this piece like Martha Argerich, who performs it live here [https://www.youtube.com/watch?v=jeuYd8nltBo].

—Leonard Benardo, senior vice president at the Open Society Foundations"

[See also:

"Morozov on AI: A Trip Down Academia Lane - YouTube" [Dwayne Monroe]
https://www.youtube.com/watch?v=NUby9eTbsuM 

"In this video, I read from Evgeny Morozov's essay, published in Ideas Letter magazine, titled, Socialism After AI. Or rather, I read as much of it as I could take.

Links:

Bluesky post
https://bsky.app/profile/sonjadrimmer.bsky.social/post/3mebkr7mfyk2l

Socialism after AI by Evgeny Morozov
https://www.theideasletter.org/essay/socialism-after-ai/

An Unresolved Issue: Evgeny Morozov, The New Yorker, and the Perils of "Highbrow Journalism"
https://leevinsel.com/blog/2014/10/11/an-unresolved-issue-evgeny-morozov-the-new-yorker-and-the-perils-of-highbrow-journalism" ]]]></description>
<dc:subject>evgenymorozov aaronbenanav leifweatherby 2026 socialism history values ai artificialintelligence technology math mathematics computing computation capitalism adamshatz izading meritocracy china us economics inequality mauriceravel leonardobernardo fairness race racialviolence policy innovation gaokao elitism marthaargerich optimization idology rationality technorationalism marxism energytransition energy worldmaking green generativeai dwaynemonroe genai</dc:subject>
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</item>
<item rdf:about="https://2ndbreakfast.audreywatters.com/ed-tech-dragnet/">
    <title>Ed-Tech Dragnet</title>
    <dc:date>2026-02-14T07:36:44+00:00</dc:date>
    <link>https://2ndbreakfast.audreywatters.com/ed-tech-dragnet/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Via The Daily Northwestern: “Late Northwestern professor maintained long-term relationship with Epstein, released government files show.” [https://dailynorthwestern.com/2026/02/10/top-stories/late-northwestern-professor-maintained-long-term-relationship-with-epstein-released-government-files-show/ ] That professor would be one Roger Schank.

<blockquote>Many of the pair’s comments used derogatory language toward women.

In January 2010, Schank pens an email with the subject line, “there is a simpler explanation about women and intelligence.” He claimed that intelligence “comes about in part from real focus” which he wrote women can’t have.

“(I)t is a rare woman who is not first and foremost focussed on what others are thinking and feeling about her,” Schank wrote. “(H)ard to be brilliant if you are worrying if you look fat or why another woman hates you or why you dont own a kelly bag.”

Epstein replied that there are “no really smart women —none.”</blockquote>

Schank’s work is seen as foundational in the field of learning sciences. He is viewed as a pioneer in artificial intelligence. He has been praised by many working in and adjacent to education technology for his contributions to our understanding of teaching machines.

As he – along with Marvin Minsky and Noam Chomsky and others whose work is formative to cognitive science and “AI” – were so close to Epstein, I reckon people in and adjacent to these fields must come to terms with this. And not simply some pat response about “a few bad apples.” But I want to see some reflection on if and how some the core tenets of the field may be implicated in a violent misogyny, one that has been comfortable with the exploitation and degradation of women – of girls, not to mention one that is deeply and overtly eugenicist. [https://www.motherjones.com/politics/2026/02/epstein-emails-eugenics-chomsky-altruism-billionaires/ ]

You cannot build a home – physical or intellectual – that is safe and secure if the foundation is rotten. The foundation of these fields -- cognitive science, psychology, artificial intelligence, computing, educational technology -- is rotten."]]></description>
<dc:subject>audreywatters rocgerschank marvinminsky noamchomsky jeffreyepstein 2026 edtech education learning howwelearn learningsciences ai artificialintelligence eugenics 2010 misogyny gender intelligence teachingmachines exploitation degradation computing cognitivescience cognition</dc:subject>
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<item rdf:about="https://aeon.co/essays/sure-ai-can-do-writing-but-memoir-not-so-much">
    <title>Sure, AI can ‘do’ writing. But memoir? Not so much | Aeon Essays</title>
    <dc:date>2026-01-25T03:27:16+00:00</dc:date>
    <link>https://aeon.co/essays/sure-ai-can-do-writing-but-memoir-not-so-much</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["As AI’s endless clichés continue to encroach on human art, the true uniqueness of our creativity is becoming ever clearer"]]></description>
<dc:subject>computers computing ai artificialintelligence 2026 richardbeard human humans humanism alanturing geoffreyjefferson chatgpt clude generativeai llms royalsociety writing howwewrite sydfield imagination creativity christophervogler maxbennett literature philipsidney philipstone adalovelace charlesbabbage mariannemoore gregbaxter art artmaking denisdiderot shakespeare intelligence memoir life living experience existence senses andrewhodges turingtest georgeperec memory biography stories storytelling self consciousness genai diderot</dc:subject>
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<item rdf:about="https://www.youtube.com/watch?v=L-fK_BUmesc">
    <title>Supply Chain Expert Answers Chinese Manufacturing Questions | Tech Support | WIRED - YouTube</title>
    <dc:date>2026-01-20T20:16:47+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=L-fK_BUmesc</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Supply chain and business scalability expert Aaron Alpeter joins WIRED to answer the internet's burning questions about Chinese manufacturing. How has China's economy grown so rapidly since the 80s? Which countries can compete with China on manufacturing costs and quality? How is Temu so cheap? What would be left if all Chinese-made goods suddenly disappeared? How long would it take for the US to be manufacturing independent from China? How are the average working conditions in China? Answers to these questions and many more await on Chinese Manufacturing Support.

0:00 Chinese Manufacturing Support
0:13 How is Temu so cheap?
2:15 What would be left if all Chinese goods disappeared?
3:18 It’s the same factory
4:44 Chip Wars
5:48 How is (nearly) everything made in China?
7:14 Which countries can compete with China on manufacturing costs and quality?
9:50 Chinese EVs
11:22 Working contracts in China
12:04 Manufacturing medications in China
14:37 Chinese people avoid Chinese products?
15:08 Is “Made in the USA” a marketing gimmick?
16:47 Made in China 2025
17:49 9-to-5 or 996?
19:08 Copyright and patent laws
20:10 Dark Factories
21:04 American automobile manufacturing
21:41 What high tech goods does China manufacture 100% in China?
22:10 How long would it take for the US to be manufacturing independent from China?
22:52 So what happened to sweat shops?
23:18 Chinese influence in African nations
24:36 Moving manufacturing to Southeast Asian countries
25:35 How has China's economy grown so rapidly since 1980?
27:10 How are the average working conditions in China?
27:57 China’s aging population"]]></description>
<dc:subject>china manufacturing supplychain supplychains 2026 factories temu shein us history microchips computing nvidia taiwan beltandroad economics demographics automation labor madeinusa evs cars nafta vietnam bangladesh electronics apparel clothing madeinchine qualitycontol consumerelectronics investment 2001 darkfactories regulation environment india southeastasia copyright ip intellectualproperty apple lululemon nike quality west france italy tradewar tradewars tariffs beltandroadinitiative intel amd shenzhen tesla huawei consolidation sweatshops mexico indonesia workingconditions ecosystems semiconductors ai artificialintelligence furniture northcarolina</dc:subject>
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<item rdf:about="https://www.youtube.com/watch?v=W1dIC287Zz0">
    <title>Tech Billionaires Want Us Dead - YouTube</title>
    <dc:date>2026-01-19T22:29:17+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=W1dIC287Zz0</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Tech billionaires are planning for a future where humans don’t exist, and they’re already building it.
  
For decades, tech elites have sold us a shiny future powered by artificial intelligence. But what if the future they’re building doesn’t include us?

I investigated the dangerous worldview known as TESCREALism that has taken hold across the world’s most powerful tech companies, from OpenAI to Tesla. It’s the belief that biological humans are flawed and temporary, and that a post-human future dominated by AGI (artificial general intelligence) is both inevitable and desirable.

Under this ideology, human obsolescence is framed as progress, while billionaires like Elon Musk, Sam Altman, Peter Thiel, and Mark Zuckerberg prepare to outlive the collapse they are helping to create.

KEY CONCEPTS: From the Singularity to billionaire bunkers, TESCREAL ideology is the invisible force driving the AI arms race.

TESCREAL: Transhumanism, Extropianism, Singularitarianism, Cosmism, Rationalism, Effective Altruism, Accelerationism, Longtermism.

Special thanks to Dr. Émile P. Torres for his extensive research on this topic. Follow Dr. Torres: https://x.com/xriskology "]]></description>
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<item rdf:about="https://2ndbreakfast.audreywatters.com/spot-the-difference/">
    <title>Spot the Difference</title>
    <dc:date>2026-01-17T03:59:33+00:00</dc:date>
    <link>https://2ndbreakfast.audreywatters.com/spot-the-difference/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[""School hasn't changed in hundreds of years." So goes the story invoked by politicians, entrepreneurs, and journalists -- a cliche often followed with an urgent call for school administrators to buy and teachers to adopt the latest technological gadgetry, gadgetry that's poised so these storytellers insist, to "revolutionize education," to utterly transform how teaching and learning will happen.

Of course, school has changed over the last century, in ways both big and small. (This is, as many of you know, some of the Introduction to Teaching Machines, which opens by arguing that Sal Khan’s “history of education,” just one of these popular “schools haven’t changed” stories, is wrong.) There have been changes in demographics, laws, expectations, pedagogies, and science, just for starters. But I’d say that we can no longer pretend that technological changes, particularly those brought about by digitization, are somehow yet to happen in education. Computers are always marketed to schools as "the future." But they are also very much now the past.

Even “AI,” which is [barf emoji] heralded as the latest and greatest revolution humankind has ever seen, is old. “AI” has been a part of education technology now for over fifty years.

2026 marks the 100th anniversary of Sidney Pressey's landmark article that launched the whole teaching machine industry: "A simple apparatus which gives tests and scores-- and teaches." Pressey, like many early educational psychologists, had worked on early efforts to develop standardized testing -- at first a way to rank and rate soldiers in World War I and then a way to rank and rate students. Pressey and others believed that an educational machinery could automate both testing and, importantly, teaching. And while his device predated the computer by decades, the digital tools that followed have never really broken from this legacy, one bound up in eugenics, behaviorism, control. Indeed, these are the values that underpin education technology to this day.

And these ideas, these technologies have changed education. They have reshaped how we think about thinking (the pervasiveness of the mind-as-machine metaphor); they have altered pedagogical practices; they have shifted the kinds of work that students and teachers do, along with the ways in which they do them. They have shaped the expectations of what students and teachers believe they can do -- not just the “everyone should learn to code” stuff and the twisting of the purpose of education to be solely about job training and “career and future readiness,” but about how students understand their own abilities, how they see (or don’t see) their own agency, how they control (or don’t control) their own inquiry, curiosity, attention.

The algorithms tell you who you are, who you can be, what you should do; you cannot be trusted, students have been told by the machinery for decades now, to know yourself ...as anything other than a consumer, that is.

<blockquote>“Formatting as many minds as possible, shaping people’s desires, recrafting their symbolic world, blurring the distinction between reality and fiction, and, eventually, colonizing their unconscious have become key operations in the dissemination of microfascism in the interstices of the real.” – Achille Mbembe, Necropolitics</blockquote>

As one of the core ideologies of computing is individualism, education technologies have served to undermine a democratic vision of schooling -- often quite explicitly through the funding of various educational initiatives by the tech industry’s wealthy investors. Powerful forces have convinced us to invest in computers, but not in one another, not in people; and we’ve dismantled democracy with a shrug -- but hey, at least the kids have Internet.

The damage to education is even more awful, even more insidious than this: the kinds of pedagogical practices that these technologies encourage -- students working alone, “at their own pace,” for starters -- have helped to undermine our shared understanding of, our shared respect for one another. The answer, these technologies insist, is in the machine, not in one another.

The machine, so the “AI” supporters now insist, is vastly superior to the human. Why learn when you can never be as fast or as shiny as a computer? Why even try? Why even practice? Why even bother?

Epistemic nihilism is a fundamental element of this surrender to an “AI”-assisted technofascism; but perhaps we should look at how this has been building -- has been built into -- education technologies for a much much longer time."]]></description>
<dc:subject>audrewatters 2026 edtech technology schools schooling change history sidneypressey ai artificialintelligence teachingmachines howweteach teaching computers computing thinking howwethink labor work nihilism achillembembe necropolitics reality microfascism technofascism fascism</dc:subject>
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<item rdf:about="https://www.theverge.com/features/861968/year-using-linux">
    <title>I spent a year on Linux and forgot to miss Windows | The Verge</title>
    <dc:date>2026-01-16T08:14:06+00:00</dc:date>
    <link>https://www.theverge.com/features/861968/year-using-linux</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["One year on Linux, two distros, a few tears, four desktop environments, and zero regrets about leaving Windows."'

[archived:
https://archive.ph/KISte ]]]></description>
<dc:subject>linux steviebonifield 2026 computers computing windows</dc:subject>
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<item rdf:about="https://www.noemamag.com/the-mythology-of-conscious-ai/">
    <title>The Mythology Of Conscious AI</title>
    <dc:date>2026-01-14T21:23:01+00:00</dc:date>
    <link>https://www.noemamag.com/the-mythology-of-conscious-ai/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Why consciousness is more likely a property of life than of computation and why creating conscious, or even conscious-seeming AI, is a bad idea."]]></description>
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<item rdf:about="https://walkingtheworld.substack.com/p/walking-thinking-and-god">
    <title>Walking, Wittgenstein, and God</title>
    <dc:date>2026-01-10T17:55:28+00:00</dc:date>
    <link>https://walkingtheworld.substack.com/p/walking-thinking-and-god</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Without God, what exactly is there?"

[See also:

"Why I Walk - Chris Arnade Walks the World
Walking as learning"
https://walkingtheworld.substack.com/p/why-i-walk-part-1

"How to Walk (12 miles a day)
"Little tips for walking a lot""
https://walkingtheworld.substack.com/p/how-to-walk-12-miles-a-day ]]]></description>
<dc:subject>chrisarnade walking wittgenstein 2025 god philosophy life living urban cities belief faith fatalism nihilism stoicism catholicism mysticism fulfillment hollowness happiness rationalism computing computers enlightenment</dc:subject>
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    <title>2025, So Far</title>
    <dc:date>2026-01-05T22:23:32+00:00</dc:date>
    <link>https://kalebhorton.ghost.io/2025-so-far/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["I wish I had a time machine so I could go back in time and talk to my dad in 1988, just before I was born, and tell him what it’s like to live in the future. I’d tell him all the amazing things that are happening. Francis Ford Coppola is still working but it’s weird and he can’t get financing. The Rolling Stones are still together. Ringo Starr’s new album is better than you’d think. David Letterman has this huge beard and wants to look like a cross between a billionaire and a moonshiner. There’s a western nighttime soap called Yellowstone that you and all your friends are obsessed with. We all have pocket-sized computers now. You can look up encyclopedia articles and stuff but you’ll mostly use it for checking the stock market and playing a game called Candy Crush. It’s really just something to do with your hands, like cigarettes. Life is mostly a string of subscription services you get from the computer, nobody will ever buy a house again, and the American dream is dead but not in a way you’d immediately notice. (Then I go win the lottery a few times and put in a bid on the Sheats-Goldstein Residence.)

The first month of 2025 has been one of those “oh no, we’re living in history” moments. A singularly American onslaught of death and degradation, moving at the speed of light. I won’t list any of the bullshit that’s taking place because it’s not helpful. It just sucks and everybody knows it sucks and we can’t do much about it.

The speed of all that death and degradation deadens the brain, which those responsible are well aware of: they did it that way on purpose and it basically works. When I ask friends how they’re doing, I get a lot of sighs and long pauses. A lot of those poignant silences are about football, which sucks too, but still. Nobody I know is in a good mood.

I’m almost a year into my “launch a paid newsletter while also wildly cutting back on social media because I’m a genius” experiment. No idea what I’ve learned from that, but I know being online is a drug and so is news. They are both addictions that rewire your brain to be miserable and, maybe worse, to anticipate being miserable.

I also have advice. Everybody loves reading advice on the computer, so I’ll share it: the best thing you can do right now is log off as hard as you can. Go outside, talk to people in real life where it’s actually kind of rude to talk about the news, try to actually see the friends you usually just text message. Go for a long drive and turn the phone off while you do it. Get back into your hobbies or pick one and learn it for a while. Watch one of those studio movies that reviews called “wildly miscalculated” and you haven’t seen since high school. Play an album you like but find embarrassing. Go to free community events even if they sound stupid. If you take the freeway, try the surface streets. Go to a bad diner and just order some bad coffee because even bad coffee is good coffee.

You can’t help anybody when you’re exhausted and keep posting one million college-educated rewordings of “I would love to be dead right now” on the computer. Walk away from the thing and try out some of those normal things you hear about and if you get bored that’s wonderful because we’re not supposed to get bored anymore. It turns out boredom is the Cadillac of feelings."]]></description>
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    <title>2025 letter | Dan Wang</title>
    <dc:date>2026-01-04T07:12:10+00:00</dc:date>
    <link>https://danwang.co/2025-letter/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["One way that Silicon Valley and the Communist Party resemble each other is that both are serious, self-serious, and indeed, completely humorless.

If the Bay Area once had an impish side, it has gone the way of most hardware tinkerers and hippie communes. Which of the tech titans are funny? In public, they tend to speak in one of two registers. The first is the blandly corporate tone we’ve come to expect when we see them dragged before Congressional hearings or fireside chats. The second leans philosophical, as they compose their features into the sort of reverie appropriate for issuing apocalyptic prophecies on AI. Sam Altman once combined both registers at a tech conference when he said: “I think that AI will probably, most likely, sort of lead to the end of the world. But in the meantime, there will be great companies created with serious machine learning.” Actually that was pretty funny.

It wouldn’t be news to the Central Committee that only the paranoid survive. The Communist Party speaks in the same two registers as the tech titans. The po-faced men on the Politburo tend to make extraordinarily bland speeches, laced occasionally with a murderous warning against those who cross the party’s interests. How funny is the big guy? We can take a look at an official list of Xi Jinping’s jokes, helpfully published by party propagandists. These wisecracks include the following: “On an inspection tour to Jiangsu, Xi quipped that the true measure of water cleanliness is whether the mayor would dare to swim in the water.” Or try this reminiscence that Xi offered on bad air quality: “The PM2.5 back then was even worse than it is now; I used to joke that it was PM250.” Yes, such a humorous fellow is the general secretary.

It’s nearly as dangerous to tweet a joke about a top VC as it is to make a joke about a member of the Central Committee. People who are dead serious tend not to embody sparkling irony. Yet the Communist Party and Silicon Valley are two of the most powerful forces shaping our world today. Their initiatives increase their own centrality while weakening the agency of whole nation states. Perhaps they are successful because they are remorseless.

Earlier this year, I moved from Yale to Stanford. The sun and the dynamism of the west coast have drawn me back. I found a Bay Area that has grown a lot weirder since I lived there a decade ago. In 2015, people were mostly working on consumer apps, cryptocurrencies, and some business software. Though it felt exciting, it looks in retrospect like a more innocent, even a more sedate, time. Today, AI dictates everything in San Francisco while the tech scene plays a much larger political role in the United States. I can’t get over how strange it all feels. In the midst of California’s natural beauty, nerds are trying to build God in a Box; meanwhile, Peter Thiel hovers in the background presenting lectures on the nature of the Antichrist. This eldritch setting feels more appropriate for a Gothic horror novel than for real life.

Before anyone gets the wrong idea, I want to say that I am rooting for San Francisco. It’s tempting to gawk at the craziness of the culture, as much of the east coast media tends to do. Yes, one can quickly find people who speak with the conviction of a cultist; no, I will not inject the peptides proffered by strangers. But there’s more to the Bay Area than unusual health practices. It is, after all, a place that creates not only new products, but also new modes of living. I’m struck that some east coast folks insist to me that driverless cars can’t work and won’t be accepted, even as these vehicles populate the streets of the Bay Area. Coverage of Silicon Valley increasingly reminds me of coverage of China, where a legacy media reporter might parachute in, write a dispatch on something that looks deranged, and leave without moving past caricature.

I enjoy San Francisco more than when I was younger because I now better appreciate what makes it work. I believe that Silicon Valley possesses plenty of virtues. To start, it is the most meritocratic part of America. Tech is so open towards immigrants that it has driven populists into a froth of rage. It remains male-heavy and practices plenty of gatekeeping. But San Francisco better embodies an ethos of openness relative to the rest of the country. Industries on the east coast — finance, media, universities, policy — tend to more carefully weigh name and pedigree. Young scientists aren’t told they ought to keep their innovations incremental and their attitude to hierarchy duly deferential, as they might hear in Boston. A smart young person could achieve much more over a few years in SF than in DC. People aren’t reminiscing over some lost golden age that took place decades ago, as New Yorkers in media might do. 

San Francisco is forward looking and eager to try new ideas. Without this curiosity, it wouldn’t be able to create whole new product categories: iPhones, social media, large language models, and all sorts of digital services. For the most part, it’s positive that tech values speed: quick product cycles, quick replies to email. Past success creates an expectation that the next technological wave will be even more exciting. It’s good to keep building the future, though it’s sometimes absurd to hear someone pivot, mid-breath, from declaring that salvation lies in the blockchain to announcing that AI will solve everything.

People like to make fun of San Francisco for not drinking; well, that works pretty well for me. I enjoy board games and appreciate that it’s easier to find other players. I like SF house parties, where people take off their shoes at the entrance and enter a space in which speech can be heard over music, which feels so much more civilized than descending into a loud bar in New York. It’s easy to fall into a nerdy conversation almost immediately with someone young and earnest. The Bay Area has converged on Asian-American modes of socializing (though it lacks the emphasis on food). I find it charming that a San Francisco home that is poorly furnished and strewn with pizza boxes could be owned by a billionaire who can’t get around to setting up a bed for his mattress. 

There’s still no better place for a smart, young person to go in the world than Silicon Valley. It adores the youth, especially those with technical skill and the ability to grind. Venture capitalists are chasing younger and younger founders: the median age of the latest Y Combinator cohort is only 24, down from 30 just three years ago. My favorite part of Silicon Valley is the cultivation of community. Tech founders are a close-knit group, always offering help to each other, but they circulate actively amidst the broader community too. (The finance industry in New York by contrast practices far greater secrecy.) Tech has organizations I think of as internal civic institutions that try to build community. They bring people together in San Francisco or retreats north of the city, bringing together young people to learn from older folks.

Silicon Valley also embodies a cultural tension. It is playing with new ideas while being open to newcomers; at the same time, it is a self-absorbed place that doesn’t think so much about the broader world. Young people who move to San Francisco already tend to be very online. They know what they’re signing up for. If they don’t fit in after a few years, they probably won’t stick around. San Francisco is a city that absorbs a lot of people with similar ethics, which reinforces its existing strengths and weaknesses.

Narrowness of mind is something that makes me uneasy about the tech world. Effective altruists, for example, began with sound ideas like concern for animal welfare as well as cost-benefit analyses for charitable giving. But these solid premises have launched some of its members towards intellectual worlds very distant from moral intuitions that most people hold; they’ve also sent a few into jail. The well-rounded type might struggle to stand out relative to people who are exceptionally talented in a technical domain. Hedge fund managers have views about the price of oil, interest rates, a reliably obscure historical episode, and a thousand other things. Tech titans more obsessively pursue a few ideas — as Elon Musk has on electric vehicles and space launches — rather than developing a robust model of the world.

So the 20-year-olds who accompanied Mr. Musk into the Department of Government Efficiency did not, I would say, distinguish themselves with their judiciousness. The Bay Area has all sorts of autistic tendencies. Though Silicon Valley values the ability to move fast, the rest of society has paid more attention to instances in which tech wants to break things. It is not surprising that hardcore contingents on both the left and the right have developed hostility to most everything that emerges from Silicon Valley. 

There’s a general lack of cultural awareness in the Bay Area. It’s easy to hear at these parties that a person’s favorite nonfiction book is Seeing Like a State while their aspirationally favorite novel is Middlemarch. Silicon Valley often speaks in strange tongues, starting podcasts and shows that are popular within the tech world but do not travel far beyond the Bay Area. Though San Francisco has produced so much wealth, it is a relative underperformer in the national culture. Indie movie theaters keep closing down while all sorts of retail and art institutions suffer from the crumminess of downtown. The symphony and the opera keep cutting back on performances — after Esa-Pekka Salonen quit the directorship of the symphony, it hasn’t been able to name a successor. Wealthy folks in New York and LA have, for generations, pumped money into civic institutions. Tech elites mostly scorn traditional cultural venues and prefer to fund the next wave of technology instead.

One of the things I like about the finance industry is that it might be better at encouraging diverse opinions. Portfolio managers want to be right on average, but everyone is wrong three times a day before breakfast. So they relentlessly seek new information sources; consensus is rare, since there are always contrarians betting against the rest of the market. Tech cares less for dissent. Its movements are more herdlike, in which companies and startups chase one big technology at a time. Startups don’t need dissent; they want workers who can grind until the network effects kick in. VCs don’t like dissent, showing again and again that many have thin skins. That contributes to a culture I think of as Silicon Valley’s soft Leninism. When political winds shift, most people fall in line, most prominently this year as many tech voices embraced the right. 

The two most insular cities I’ve lived in are San Francisco and Beijing. They are places where people are willing to risk apocalypse every day in order to reach utopia. Though Beijing is open only to a narrow slice of newcomers — the young, smart, and Han — its elites must think about the rest of the country and the rest of the world. San Francisco is more open, but when people move there, they stop thinking about the world at large. Tech folks may be the worst-traveled segment of American elites. People stop themselves from leaving in part because they can correctly claim to live in one of the most naturally beautiful corners of the world, in part because they feel they should not tear themselves away from inventing the future. More than any other topic, I’m bewildered by the way that Silicon Valley talks about AI."]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=fAxRj3njH7I">
    <title>Substack's Stacked Debates: Utopia - Can you teach an AI taste? - YouTube</title>
    <dc:date>2026-01-01T04:18:36+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=fAxRj3njH7I</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Substack's Stacked Debates: Utopia - Can you teach an AI taste? 
Jasmine Sun vs. Robin Sloan"]]></description>
<dc:subject>robinsloan jasminesun humans humanism ai artificialintelligence taste 2025 deepmind alphago music culture finitude human humanity technology experience surprise insight fashion musicmaking confidence computers computing effectivealtruism spotify claude anthropic chatgpt openai deepseek courage specificity decisionmaking stakes risk risktaking dreams dreaming choice quality quantity decisions</dc:subject>
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<item rdf:about="https://live-ssmatrix.pantheon.berkeley.edu/research-article/alexis-madrigal/">
    <title>Alexis Madrigal: &quot;To Know A Place&quot; - Social Science Matrix</title>
    <dc:date>2025-12-28T20:58:00+00:00</dc:date>
    <link>https://live-ssmatrix.pantheon.berkeley.edu/research-article/alexis-madrigal/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Recorded on December 4, 2025, this video features a Social Science Matrix Distinguished Lecture, “To Know a Place,” presented by journalist and author Alexis Madrigal.

Madrigal has long explored how technology, culture, and environment shape our lives; from his work co-founding The COVID Tracking Project to his books Powering the Dream and The Pacific Circuit. In this talk, Madrigal turns his attention to the question of how we come to know a place. Drawing on his background as a reporter, writer, and thinker of cities, landscapes, and histories, he explores different ways of writing about and understanding place, revealing how perspective, memory, and narrative inform the stories we tell about the world around us. 

About the Speaker

Alexis Madrigal is a journalist in Oakland, California. He is the co-host of KQED’s current affairs show, Forum, and a contributing writer at The Atlantic, where he co-founded The COVID Tracking Project. Previously, he was the editor-in-chief of Fusion and a staff writer at Wired. His latest book, The Pacific Circuit, came out in March 2025 from MCD x FSG. He is the proprietor of the Oakland Garden Club, a newsletter for people who like to think about plants. Madrigal authored the book Powering the Dream: The History and Promise of Green Technology. He has been a visiting scholar at UC Berkeley’s Information School and UC Berkeley’s Center for the Study of Technology, Science, and Medicine as well as an affiliate with Harvard’s Berkman Klein Center for Internet & Society. He was born in Mexico City, grew up in rural Washington State, and went to Harvard.

Podcast and Transcript

Watch the panel above or on YouTube [https://www.youtube.com/watch?v=URcgwVjoxbE ]. Or listen to the audio recording via the Matrix Podcast below (or on Apple Podcasts)."]]></description>
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</item>
<item rdf:about="https://www.noemamag.com/the-politics-of-superintelligence/">
    <title>The Politics Of Superintelligence</title>
    <dc:date>2025-12-27T21:13:37+00:00</dc:date>
    <link>https://www.noemamag.com/the-politics-of-superintelligence/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Today’s tech “prophets” push a narrative that God-like artificial superintelligence is inevitable, and only they can ensure humanity’s safety from their creations."]]></description>
<dc:subject>jameso'sullivan 2025 authoritarianism machinelearning ai power culture economics politics worldview artificialintelligence humanity agi artificialgeneralintelligence isaacasimov stanleykubrick arthurcclarke williamgibson elkonmusk apocalypse samaltman superintelligence rationalism chatgpt opeani randcorporation alanturing johnvanneumann stanislawulam irvingjohngood eliezeryudkowsky singularitarianism singularity tescreal transhumanism extropianism cosmism nerdreich effectivealtruism longtermism intelligence data nickbostrom entrepreneurship etnrepreneurialism microsoft anthropic google deepmind siliconvalley technodeterminism billionaires china us humanism human humans fredericktaylor scientificmanagement taylorism labor work ethics predictivepolicing surveillance facialrecognition llms algorithms mentalhealth society socialmedia depression indigeneity indigenous firstnations temanararaunga aotearoa surveillancecapitalism capitalism disabilities disability eugenics computation computing inevitability technoop</dc:subject>
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<item rdf:about="https://proteanmag.com/2025/12/23/the-workplace-arms-race/">
    <title>The Workplace Arms Race • Protean Magazine</title>
    <dc:date>2025-12-25T16:14:39+00:00</dc:date>
    <link>https://proteanmag.com/2025/12/23/the-workplace-arms-race/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Last year in June, Wells Fargo fired a dozen employees for tricking bosses into thinking they were working by using devices that “simulated keyboard activity.” One such gadget, known as a “mouse jiggler,” prevents a computer from going to sleep by moving the cursor around the screen. Jigglers are widely available online for under $10. Just don’t to try to expense one.

Concerns about worker productivity surged during COVID-19 lockdowns. With managers forced to keep a safe distance from employees working from home, businesses deployed assorted digital tools to monitor them. In addition to tracking mouse movements, they logged keystrokes, emails, and app usage. More intrusive surveillance technologies also emerged, such as facial recognition software that gauged attention during virtual meetings and webcams that periodically snapped photos of employees. Debates erupted over the ethics of these tools, and many remote workers feared that “bossware” underreported their work. Measuring productivity through mouse clicks overlooked numerous tasks, including time spent working away from the computer. To meet performance targets, some employees reported skipping meals and extending their workday late into the evening. Still others sought out countermeasures, turning to TikTok and Reddit for tutorials on mouse jigglers, keystroke simulators, and even “Zoom presence” spoofers.

The capitalist workplace has always been an arms race, where managerial gimmicks for intensifying work are met by workers’ attempts to resist them. What distinguishes the present circumstances is that managers are increasingly physically distant from their employees, if not removed from the equation entirely. From call centers to coffee shops, software now handles innumerable tasks that were until quite recently reserved for human managers, such as scheduling shifts and issuing instructions. What does this new managerial regime mean for the future of work—and how might it shape opportunities for subversion?

In Cyberboss: The Rise of Algorithmic Management and the New Struggle for Control at Work (Verso, 2024), Craig Gent looks to logistics workplaces for answers. As algorithmic management spreads across industries, its effects are most pronounced in distribution centers and delivery vans, where this novel mode of control has already taken root. Logistics, Gent contends, is not just a “pathfinder sector” for algorithmic management but a battleground, with the downstream workers—the ones who are tasked with storing, sorting, and delivering commodities—fighting on the frontlines against algorithmic intrusion. As digital technologies transform how workplaces are managed, workers must reassess whether their tactics of resistance are fit for purpose. In this fast-moving struggle, even mouse jigglers have a role to play."]]></description>
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<item rdf:about="https://theconvivialsociety.substack.com/p/manufactured-inevitability-and-the">
    <title>Manufactured Inevitability and the Need for Courage</title>
    <dc:date>2025-12-15T05:15:58+00:00</dc:date>
    <link>https://theconvivialsociety.substack.com/p/manufactured-inevitability-and-the</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>2025 lmsacasas ai artificialintelligence luddism neoluddism luddites neoluddites resistance borgcomplex technology siliconvalley technodeterminism tecnooptimism thomasmisa margaretheffernan inevitability agency ohiostate responsibility josephweizenbaum computers computing compsci policy civics courage openai google technologicaldeterminism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://kyla.substack.com/p/everyone-is-gambling-and-no-one-is">
    <title>Everyone is Gambling and No One is Happy - by kyla scanlon</title>
    <dc:date>2025-12-13T04:31:21+00:00</dc:date>
    <link>https://kyla.substack.com/p/everyone-is-gambling-and-no-one-is</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[[via:
https://2ndbreakfast.audreywatters.com/nothing-but-flowers/ ]]]></description>
<dc:subject>kylascanlon economics democracy stability stress anxiety gambling vibecession michaelgreen johnburnmurdoch jeremyhorpedahl tylercowen paulkrugman policy inflation housing donaldtrump prosperity health healthcare healthinsurance affordability paulstarr jeantwenge bradybrickner-wood trust gregip davidbauder news collapse journalism media ai artificialintelligence bubbles aibubble misinformation scams attention infrastructure confidence optimism extraction llms labor work working employment linustorvald demishassabis markets datacenters billionaires electricity openai nvidia china airbnb energy renewables gdp investment speculation economy jobs tarekmansour kalshi financialization sports sportbetting whitneycurrywimbish emilystewart upwardmobility victorfrankl values kahliljoseph capitalism cronycapitalism technology prediction casinos regulation deregulation politics poverty experience risk generations medicare boomers babyboomers genz generationz zoomers us computing cheating scamming cognitiveoverload baumol</dc:subject>
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<dc:identifier>https://pinboard.in/u:robertogreco/b:0fe165f990ce/</dc:identifier>
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<item rdf:about="https://www.frontporchrepublic.com/2025/09/when-the-internet-was-a-place/">
    <title>When the Internet Was a Place - Front Porch Republic</title>
    <dc:date>2025-12-06T05:03:19+00:00</dc:date>
    <link>https://www.frontporchrepublic.com/2025/09/when-the-internet-was-a-place/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Not too long ago, the internet was a place you visited. The family desktop sat in its designated closet or back office. In schools, there were rooms filled with computers blinking in…"

...


"Not too long ago, the internet was a place you visited. The family desktop sat in its designated closet or back office. In schools, there were rooms filled with computers blinking in tandem, waiting for your class to arrive and hop online. You had to purposefully arrive at the internet, and when done, you left it behind until next time. Now the internet pervades our everyday lives. We have eliminated the doorway, the conscientious effort, needed to access the internet. Always on, always watching, the internet is no longer a place to arrive at and explore but instead a panopticon-like enivronment that we are trapped within. Where the early internet once required intention, place, and presence, today it saturates daily life in ways that erode our capacity for rootedness, attention, and freedom; to recover a healthier digital culture, we must reimagine the internet not as an omnipresent miasma of distraction and surveillance but as a place we choose to enter—and leave—on human terms.

In the 1990s and 2000s, the internet was a deeply physical thing, a location. One “arrived” at the internet with purpose and intention. It was an embodied experience. You clicked and typed, and in the early days often coded via html, your own way through the web. The sense of exploring a physical world was embodied in the way that even website interfaces encouraged breaks in attention, you came to the actual bottom of a page of text rather than scrolling through infinitely, and then you had to make the decision to click forwards, backwards, or leave the page altogether, not unlike flipping through a book.

There was no algorithm, no feed. Instead, on popular web hosting sites like GeoCities, there were “neighborhoods,” wherein the platform and the personal websites it hosted were divided into virtual groups like “Hollywood” for pop culture sites or “Area51” for alien and science fiction pages, allowing users to find websites other users had created based on their interests. There was a sense of locality because of this. Even the language of the old web—homepage, computer room, website—connotes a deep sense of location and place. Once done in the neighborhoods, and done online, disconnection was natural, inevitable, and even restful. You purposefully logged out, shut down the computer, and left its designated spot. It did not follow you and was instead waiting until your next visit.

This experience of the internet, of “Web 1.0,” is sadly gone. It went slowly at first, Facebook and MySpace became new booming platforms, Yahoo! acquired GeoCities and did away with the concept of “neighborhoods” before shutting the platform down entirely, and, in perhaps the biggest development of all, the “infinite scroll” began structuring the internet in 2006. Now the internet is no longer a neighborhood to be visited and explored and left behind. Today the internet has expanded to our pockets and hands, watches and glasses, refrigerators and doorbells and speakers.

The internet is now a panopticon, wherein users are both watched and watching with no true exit. We have lost the doorway to the computer room and, with it, the distinction between private and public boundaries. Under surveillance capitalism, algorithms are always tracking, nudging, and shaping the behavior of users to scroll and interact as much as possible. The freedom and exploration of the internet is no more. This has resulted in fractured attention, anxiety, and sadly, a diminished sense of place and belonging even with the connectivity the internet could offer.

Where once the internet had clear thresholds of arrival and departure, today it offers no such rhythms. There is no doorway to pass through, no sense of beginning or end. Instead, we find ourselves caught in a stream without banks, pulled along by an attention economy that frays our ability to focus, to think deeply, or even to be fully present with those around us. The internet dissolves the difference between “here” and “elsewhere,” collapsing place into a single, endless everywhere. And in this condition of perpetual connection, what looks like freedom often masks a subtler dependence—our choices shaped, nudged, and constrained by forces we neither see nor control.

A healthier digital culture will require the reintroduction of boundaries and thresholds, a reclaiming of the doorway that once framed our entry into the online world. We can begin with simple practices: confining devices to designated rooms, choosing intentional moments to log in, keeping sabbaths from screens. Such acts remind us that the internet is a tool to be entered on human terms, not a condition of existence. But recovery will demand more than discipline; it will require the counterweight of embodied community and locality, the kinds of rooted ties that resist being flattened into the everywhere of the web. And finally, it will call upon our cultural imagination to picture the internet not as an omnipresent infrastructure humming endlessly in the background of our lives but as a neighborhood—a place we may visit, explore, and leave, on terms that honor human attention, freedom, and rootedness.

Not too long ago, the computer room stood as a threshold, a doorway into another world that waited patiently for our return. In remembering that doorway, we recover more than nostalgia; we recover a vision of what it means to return the internet to its proper bounds. The work before us is not to abandon digital life altogether but to give it limits, to render it once again something we visit rather than something that consumes us. If we can imagine and practice such boundaries, the internet may yet be a place to explore rather than a tower of surveillance, a neighborhood among neighborhoods rather than the endless everywhere. And in reclaiming that doorway, we may also reclaim our attention, our rootedness, and the freedom to dwell more fully in the places that are ours."]]></description>
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<item rdf:about="https://direct.mit.edu/books/monograph/3356/MechanismsNew-Media-and-the-Forensic-Imagination">
    <title>Mechanisms: New Media and the Forensic Imagination, by Matt G. Kirschenbaum (2007) | Books Gateway | MIT Press</title>
    <dc:date>2025-11-30T22:31:11+00:00</dc:date>
    <link>https://direct.mit.edu/books/monograph/3356/MechanismsNew-Media-and-the-Forensic-Imagination</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["A new “textual studies” and archival approach to the investigation of works of new media and electronic literature that applies techniques of computer forensics to conduct media-specific readings of William Gibson's electronic poem “Agrippa,” Michael Joyce's Afternoon, and the interactive game Mystery House.

In Mechanisms, Matthew Kirschenbaum examines new media and electronic writing against the textual and technological primitives that govern writing, inscription, and textual transmission in all media: erasure, variability, repeatability, and survivability. Mechanisms is the first book in its field to devote significant attention to storage—the hard drive in particular—arguing that understanding the affordances of storage devices is essential to understanding new media. Drawing a distinction between “forensic materiality” and “formal materiality,” Kirschenbaum uses applied computer forensics techniques in his study of new media works. Just as the humanities discipline of textual studies examines books as physical objects and traces different variants of texts, computer forensics encourage us to perceive new media in terms of specific versions, platforms, systems, and devices. Kirschenbaum demonstrates these techniques in media-specific readings of three landmark works of new media and electronic literature, all from the formative era of personal computing: the interactive fiction game Mystery House, Michael Joyce's Afternoon: A Story, and William Gibson's electronic poem “Agrippa.”"]]></description>
<dc:subject>mattkirschenbaum newmedia storage computing computers reading howweread writing howwewrite electronicliterature literature 2007 michaeljoyce forensics computerforensics williamgibson mysterhouse games gaming videogames personalcomputing books objects text platforms systems devices mechanism affordances interactivefiction if</dc:subject>
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<item rdf:about="https://www.youtube.com/watch?v=lUxf7Sfqxsk">
    <title>What Whales Can Teach Us About Talking to Aliens | The Futurology Podcast - YouTube</title>
    <dc:date>2025-11-28T22:51:13+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=lUxf7Sfqxsk</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["We’ve spent decades beaming radio waves into space listening for an answer. But it might be enough to start here on Earth, or more accurately, under the seas. Sperm whales live in complex clans and communicate in rapid-fire clicks. Even if we could decode their messages, is it safe to assume they want to talk to us? What, exactly, would we have to say to them?

The Cetacean Translation Initiative – CETI for whales not SETI for E.T. – is considering the implications of AI translation tools for the ocean’s depths. In this episode of Futurology, CETI Founder David Gruber joins Claire Webb – the director of the Berggruen Institute's Future Humans program – to explore what it means to approach another intelligence with humility rather than conquest. In the end, creating a direct linguistic connection with another species may be yet another white whale that humanity should abandon as folly. For Gruber, the point isn’t fluency. It’s learning to speak more softly on a planet filled with minds we’ve barely begun to meet.

Chapters
Introduction (0:00)
David’s Journey to Becoming a Marine Biologist (1:44)
Bioluminescence, Biofluorescence, and Deep Sea Life (7:32)
Discovering Biofluorescence in Sharks (21:06)
The Evolutionary Story of Whales (29:12)
How Sperm Whales Make Sound (31:53)
Whale Songs—The Sirens of the Sea (36:16)
How Whale Songs are Recorded (42:53)
Accents and Dialects in Whale Communication (45:30)
Vladimir Nabokov and the Art of Translation (52:06)
The Challenge of Inhabiting an Alien Consciousness (56:56)
How Machine Learning Can Help Us Understand Whales (1:04:42)
If We Can Translate Whales, Can We Translate Extraterrestrials? (1:09:46)

Resources

Aglow in the Dark: The Revolutionary Science of Biofluorescence — David Gruber & Vincent Pieribone (Book, 2005)
https://www.bibliovault.org/BV.book.epl?ISBN=9780674024137

The Art of Translation — Vladimir Nabokov (Essay, 1941)
https://newrepublic.com/article/113310/vladimir-nabokov-art-translation

Songs of the Humpback Whale — Roger Payne & Scott McVay (Scientific Article, 1970)
https://www.science.org/doi/10.1126/science.173.3997.585

Songs of the Humpback Whale — Roger Payne & Frank Watlington (Audio Recording, 1970)
https://open.spotify.com/album/5h96FXOFTdfJxanqdzoczd?nd=1&dlsi=7740e03967f04b0d

Follow David Gruber: 
@davidfgruber
https://www.davidgruber.com/

Follow Project CETI
Instagram:   / projectceti  
LinkedIn:   / project   CETI
Twitter/X: https://x.com/ProjectCETI
YouTube:    / projectceti  
TikTok: https://www.tiktok.com/projectceti "]]></description>
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<item rdf:about="https://yalebooks.yale.edu/book/9780300272741/we-computers/">
    <title>We Computers: A Ghazal Novel, by Hamid Ismailov, translated by Shelley Fairweather-Vega (2025)</title>
    <dc:date>2025-11-14T06:52:40+00:00</dc:date>
    <link>https://yalebooks.yale.edu/book/9780300272741/we-computers/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["A multilayered exploration of poetry, authorship, and digital intelligence by “a writer of immense poetic power” (The Guardian)
 
Finalist, 2025 National Book Award, Translated Literature
 
“Many paths cross in Ismailov’s beautiful new work—poetry, history and the infinite imagination. Every path winding into another. Every path worth taking.”—Patti Smith
 
In the late 1980s, French poet and psychologist Jon‑Perse finds himself in possession of one of the most promising inventions of the century: a computer. Enchanted by snippets of Persian poetry he learns from his Uzbek translation partner, Abdulhamid Ismail, Jon-Perse builds a computer program capable of both analyzing and generating literature. But beyond the text on his screen there are entire worlds—of history, philosophy, and maybe even of love—in the stories and people he and AI conjure.
 
Hamid Ismailov brings together his work as a poet, translator, and student of literature of both East and West to craft a postmodern ode to poetry across centuries and continents. Crossing the poètes maudits with beloved Sufi classics, blending absurdist dreams with the life of the famed Persian poet Hafez, moving from careful mathematical calculations to lyrical narratives, Ismailov invents an ingenious transnational poetics of love and longing for the digital age. Situated at the crossroads of a multilingual world and mediated by the unreliable sensibilities of digital intelligence, this book is a dazzling celebration of how poetry resonates across time and space."

[See also:

"We Computers: A Conversation with Hamid Ismailov and Shelley Fairweather-Vega"
https://yalebooks.yale.edu/2025/08/19/we-computers-a-conversation-with-hamid-ismailov-and-shelley-fairweather-vega/ ]]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=q8ZR9-y4ik8">
    <title>How AI Will Translate Human Creativity as Sci-Fi and Reality Converge | The Futurology Podcast - YouTube</title>
    <dc:date>2025-11-04T18:43:57+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=q8ZR9-y4ik8</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The first machines mimicked our muscles. Today, they’ve learned to mirror our minds. Now they’re beginning to imitate something even closer to the core of our humanity – imagination itself. Sci-fi author, translator, and technologist Ken Liu calls this new medium the Noematagraph: a tool for capturing creativity and collaborating with AI in the same way cinema tells stories with actors, sound and a splash of light on a screen.

In this episode of Futurology, Liu joins Berggruen Press’ Executive Editor Nils Gilman to explore how AI blurs the line between artist and audience, code and consciousness. They discuss why storytelling has always been humanity’s most powerful technology and how machines, by learning to tell their own stories, may change what it means to express emotion in the AI age."]]></description>
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</item>
<item rdf:about="https://www.robinsloan.com/lab/agent-model/">
    <title>Eyeballs, not assistants</title>
    <dc:date>2025-11-03T21:49:01+00:00</dc:date>
    <link>https://www.robinsloan.com/lab/agent-model/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["“Make the com­puter more like things of which we are unaware: eyeballs, hands” … !

That’s from a 1992 presentation by Mark Weiser, the framer and prog­nos­ti­cator of “ubiquitous computing”, via Jackie Luo [https://x.com/jackiehluo/status/1971317951774224858 ].

Honestly, look at page 5 of that PDF. It sees the world more clearly and accu­rately than every pitch for every AI agent put together.

I am so so sooo ice cold on the agent stuff. More on this another time, probably."

[refers to:
https://cgi.csc.liv.ac.uk/~coopes/comp319/2016/papers/UbiquitousComputingAndInterfaceAgents-Weiser.pdf ]

[Jackie Luo tweet from above:
https://x.com/jackiehluo/status/1971317951774224858

"i've been thinking a lot lately about "ai as assistant" vs. what i've been calling "ai as environment"—ai woven invisibly into every interface instead of personified into its own entity

then today i stumbled on this 1992 doc by mark weiser (xerox parc) on ubiquitous computing"]]]></description>
<dc:subject>computers computing robinsloan 2025 markweiser ubicomp ai artificialintelligence senses sensing thinking intelligence computation awareness 1992</dc:subject>
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<item rdf:about="https://www.robinsloan.com/lab/commitments/">
    <title>Companies without commitments</title>
    <dc:date>2025-11-03T21:46:50+00:00</dc:date>
    <link>https://www.robinsloan.com/lab/commitments/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The OpenAI recapitalization is so gross (although we can pause to appreciate the sleek euphemism). Any/all arguments that the new structure maximizes the benefit for the non-profit, or indeed for humanity, simmer neatly down to: “but … we wanted the money!”

The company’s agreement with the state of California does contain useful provisions, and, honestly, I understand why the attorney general’s office was inclined to do this deal. But it’s still gross, and it is evidence, again, that the companies at the commanding heights of tech simply cannot — will not–make and keep commitments.

What do I mean by that? Simply that these companies don’t care about anything in particular, other than growth — the colonization and consolidation of human attention. Meta is exemplary in this regard, as its apps morph and blur, casting off modes, whole forms of media, like a snake shedding skins. They put a TikTok in your Instagram! They’ll do it again, whatever comes next. AI-synthesized videos, whole insane dreamworlds, coming soon to a nav button near you.

How strange, to imagine that what you are—what kind of company–and what you make—what kind of products — might feel so optional, so temporary; that your only guide — your single inviolate principle — might be what you want, which is always: more.

Among tech companies, Apple might be the exception, because I believe it does have longstanding commitments — to privacy, to accessibility — which it maintains even when they are inconvenient. This shouldn’t really be cause for commendation — making and keeping commitments is the baseline for moral life, not some great achievement — but in this scene, Apple stands out."

[See also, referring to the post above:
https://www.robinsloan.com/lab/dramatis-personae/ 

"Following my previous post, here is my assessment of the current AI dramatis personae:

• OpenAI: clearly, hilariously, the bad one

• Anthropic: the good one

• Google: the one that’s going to win

However, I think there’s a fair chance that hardware and software both change such that highly-capable language models are computer programs that run on phones, in browser tabs, rather than in far-off data centers. This is obviously a healthier scenario, so I am rooting for none of the above. Instead, my interest is fixed on a character waiting in the wings: the tight, light, multimodal “cognitive core” [https://x.com/karpathy/status/1938626382248149433 ]."]

[That last link (Andrej Karpathy):
https://x.com/karpathy/status/1938626382248149433

"The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing.
Its features are slowly crystalizing:

- Natively multimodal text/vision/audio at both input and output.
- Matryoshka-style architecture allowing a dial of capability up and down at test time.
- Reasoning, also with a dial. (system 2)
- Aggressively tool-using.
- On-device finetuning LoRA slots for test-time training, personalization and customization.
- Delegates and double checks just the right parts with the oracles in the cloud if internet is available.

It doesn't know that William the Conqueror's reign ended in September 9 1087, but it vaguely recognizes the name and can look up the date. It can't recite the SHA-256 of empty string as e3b0c442..., but it can calculate it quickly should you really want it.

What LLM personal computing lacks in broad world knowledge and top tier problem-solving capability it will make up in super low interaction latency (especially as multimodal matures), direct / private access to data and state, offline continuity, sovereignty ("not your weights not your brain"). i.e. many of the same reasons we like, use and buy personal computers instead of having thin clients access a cloud via remote desktop or so."]]></description>
<dc:subject>robinsloan ai artificialintelligence 2025 openai chatgpt apple california humanity capitalism society nonprofit nonprofits profit profits corporations corporatism technology siliconvalley privacy access accessibility anthropic google andrejkarpathy llms problemsolving computers computing</dc:subject>
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<item rdf:about="https://thecuttingfloor.substack.com/p/popups-and-pipes-how-the-network">
    <title>Popups and Pipes: How the Network State Already Exists in Asia</title>
    <dc:date>2025-11-02T22:03:16+00:00</dc:date>
    <link>https://thecuttingfloor.substack.com/p/popups-and-pipes-how-the-network</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The network dreamed of exit; the planet dreamed of endurance. Between them hums the civilisation we’re already building."]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=_p4DGE5t3x0">
    <title>David A Jaffe - Silicon Valley Breakdown - A film by George Olczak - YouTube</title>
    <dc:date>2025-11-02T17:50:20+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=_p4DGE5t3x0</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In this 1984 film by George Olczak,  computer music pioneer David A. Jaffe  discusses his musical outlook, and describes computer music at a time when few people were aware that computers could make music. Jaffe, who was working at that time at the Stanford Center for Computer Research in Music and Acoustics (CCRMA), discusses his landmark work "Silicon Valley Breakdown," the first computer piece to use physical modeling synthesis (outlined in his seminal paper "Extensions of the Karplus-Strong Plucked String Algorithm, co-authored with Julius O. Smith.)  He also performs on the mandolin an excerpt from "Bristlecone Concerto 2," for computer, mandolin and ensemble. Includes a  nostalgic demonstration of the computer system of the Stanford Artificial Intelligence Laboratory (SAIL) and CCRMA, including the Systems Concept Digital Synthesizer (Samson Box)."]]></description>
<dc:subject>1984 georgeolczak davidjaffe music computers computing via:javierarbona computermusic ccrma juliussmith</dc:subject>
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<item rdf:about="https://reggio.constructingmodernknowledge.com/labubu">
    <title>AI, Schools, and the Labubu Problem - The Language of Computation</title>
    <dc:date>2025-11-01T20:07:41+00:00</dc:date>
    <link>https://reggio.constructingmodernknowledge.com/labubu</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Ever wonder why word processing remains controversial in schools or the Internet is more accessible at McDonald’s? Why is the technological bounty embraced by the rest of society so elusive in schools? The explanation lies in the result of decisions made long ago in a system reluctant to change."]]></description>
<dc:subject>garystager ai artificialintelligence edtech technology education schools schooling labubus internet web online society ipad computers computing google chromebooks wordprocessing hubris arrogance 2025 control censorship surveillance lausd chatbots chatgpt claude openai anthropic gemini wordpress vibecoding</dc:subject>
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<item rdf:about="https://www.noemamag.com/only-god-can-save-us/">
    <title>‘Only God Can Save Us’</title>
    <dc:date>2025-11-01T03:49:51+00:00</dc:date>
    <link>https://www.noemamag.com/only-god-can-save-us/</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>nathangardels catholicism catholicchurch 2025 heidegger god cybernetics vatican popefrancis popeleoxiv christanity humanism christianhumanism humanity dignity humandignity automatism simulation siliconvalley china technoutopianism technoapocalypse autonomy solidarity equity luddites luddism neoluddites neoluddism superintelligence precaution accelerationism resistance gregoryhinton yashyabengio stuartrussell paolobenanti yuvalnoahharari intelligence humanintelligence control decisionmaking agency morality military lawenforcement police policing society safety transparency gavinnewsom law legal governance regulation josephgordonlevitt susnrice stevewozniak stevebannon princeharry barackobama jürgenhabermas computing computers westerncivilization civilization habermas</dc:subject>
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<dc:identifier>https://pinboard.in/u:robertogreco/b:6615ad9ce1c2/</dc:identifier>
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<item rdf:about="https://www.e-flux.com/architecture/spatial-computing/6782991/gps-for-the-brain-cognitive-maps-revisited">
    <title>Spatial Computing - Laura Kurgan - GPS for the Brain: Cognitive Maps Revisited</title>
    <dc:date>2025-10-18T05:41:13+00:00</dc:date>
    <link>https://www.e-flux.com/architecture/spatial-computing/6782991/gps-for-the-brain-cognitive-maps-revisited</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Navigation has typically involved something more technical than biological, especially in relation to traversing and remembering spaces. From compass and map to astrolabe and the Global Positioning System (GPS), humans have long relied on a variety of devices to get themselves or their projectiles from here to there. But these tools are not the only game in town—biological navigation, is crucial for the everyday life, movement, and survival of a myriad of species, not just human. Nowadays, this interplay between technical and biological navigation is increasingly blurry. What are the characteristics of navigation that we encounter along the gradient between the technical and the biological, between positioning and memory? To answer this, it helps to put the discourse of “cognitive mapping” into dialogue with advances in neuroscience and artificial intelligence, where scientists now speak of “an inner GPS.” GPS, in this sense, is a misaligned metaphor for a cognitive map, a figure that has long been operational within the fields of architecture, urbanism, and human-computer interaction. However, this conflation warrants revisiting and critiquing their fundamental concepts once again.

We are living in a moment when artificial intelligence—the technical simulation of a biological brain—threatens to absorb and replace many fields, disciplines, and control systems. Simultaneously, the same technologies and algorithms that aim to simulate biological brains (and want to exceed their capabilities) still can’t map the brain of many species, including human. Researchers claim the human brain is the most complex organ in any living creature—a network of trillions of brain cells or neurons housed in a jello-like framework. But networks are only one way of describing the brain. It is therefore important to interrogate the relationships between the elements of this binary—biology and technology—that build these networks, and their cognitive capacities."]]></description>
<dc:subject>navigation gps laurakurgan 2025 maps mapping ai artificialintelligence memory brain biology technology cyborgs networks spatialcomputing computers computing computation cognition cognitivemapping ui ux architecture urbanism carlschoonove camillogogli santiagoramónycajal physiology may-brittmoser edvardmoser johno'keefe science consciousness neuroscience ricgharmeier macba barcelona fredricjameson illegibility cities sensemaking sensing kevinlynch postmodernism geoffreyhinton intelligences multipleintelligence imagination prediction creativity landmarks knowledge neuralnetoworks</dc:subject>
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