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  </channel><item rdf:about="https://www.hachettebookgroup.com/titles/yasha-levine/surveillance-valley/9781610398039/?lens=publicaffairs">
    <title>Surveillance Valley by Yasha Levine | Hachette Book Group | Hachette Book Group</title>
    <dc:date>2026-07-04T10:29:22+00:00</dc:date>
    <link>https://www.hachettebookgroup.com/titles/yasha-levine/surveillance-valley/9781610398039/?lens=publicaffairs</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The internet is the most effective weapon the government has ever built.

In this fascinating book, investigative reporter Yasha Levine uncovers the secret origins of the internet, tracing it back to a Pentagon counterinsurgency surveillance project.

A visionary intelligence officer, William Godel, realized that the key to winning the war in Vietnam was not outgunning the enemy, but using new information technology to understand their motives and anticipate their movements. This idea — using computers to spy on people and groups perceived as a threat, both at home and abroad — drove ARPA to develop the internet in the 1960s, and continues to be at the heart of the modern internet we all know and use today. As Levine shows, surveillance wasn’t something that suddenly appeared on the internet; it was woven into the fabric of the technology.

But this isn’t just a story about the NSA or other domestic programs run by the government. As the book spins forward in time, Levine examines the private surveillance business that powers tech-industry giants like Google, Facebook, and Amazon, revealing how these companies spy on their users for profit, all while doing double duty as military and intelligence contractors. Levine shows that the military and Silicon Valley are effectively inseparable: a military-digital complex that permeates everything connected to the internet, even coopting and weaponizing the antigovernment privacy movement that sprang up in the wake of Edward Snowden.

With deep research, skilled storytelling, and provocative arguments, Surveillance Valley will change the way you think about the news — and the device on which you read it."]]></description>
<dc:subject>yashalevine 2018 surveillance siliconvalley technofascism internet web online pentagon counterinsurgency us williamgodel vietnamwar arpa 1960s technology google amazon facebook military privacy edwardsnowden news media nsa</dc:subject>
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<item rdf:about="https://daringfireball.net/linked/2026/07/02/orosz-meta-engineering-culture">
    <title>Daring Fireball: 'Why Is Meta Destroying Its Engineering Organization?'</title>
    <dc:date>2026-07-03T05:36:05+00:00</dc:date>
    <link>https://daringfireball.net/linked/2026/07/02/orosz-meta-engineering-culture</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Gergely Orosz, writing [https://newsletter.pragmaticengineer.com/p/why-is-meta-destroying-its-engineering ] at The Pragmatic Engineer (which, sadly [https://daringfireball.net/search/substack ], is a Substack blog):

<blockquote>The biggest problem: people stop caring about real work and focus on performative work. Let’s check the four ingredients that Meta’s leadership has decided to introduce to their workplace:

1. Tracking the keyboards and mouse clicks of all engineers, where legally possible
2. Reassign a good chunk of engineers to full-time data labeling
3. Let staff know that 10% of them will be laid off
4. Have a culture where devs optimize for any and all metrics measured during PSC
5. Measure token usage as part of PSC

Shake this mix up well, and what do you get? Two things:

1. Everyone overuses AI to boost their personal stats. An engineering workforce that pretends to work with as much AI, and as little human input, as possible. It’s a strange incentive where an outage caused by a failure to review code properly is not grounds for dismissal, but writing code by hand — instead of having an AI agent write it — could cost you your job.

2. Every longer-tenured engineer is seeking a new job, or at least considering it. Those who have been around at Meta longer term have seen enough.</blockquote>

PSC is “Performance Summary Cycle”, Meta’s stringent cut-throat performance review system. Orosz’s report is extraordinarily well-sourced by current and recently former Meta engineers. Towards the end of the piece, Orosz addresses the “just ask Meta AI to give you the account” Instagram account hijackings [https://daringfireball.net/linked/2026/07/02/meta-ai-ask-for-instagram-accounts ], which he describes, without hyperbole, as “the most embarrassing outage in Meta’s history”. Orosz’s sources report, unsurprisingly, that the breach was the result of AI — AI writing the code, AI reviewing the code, and AI taking over for human technical support.

As for who is responsible, it’s Zuckerberg and AI “genius” Alexandr Wang:

<blockquote>In June that year, Meta acquired a 49% stake in Scale AI to reboot its AI efforts for a whopping $14.8B, and brought in Scale AI’s CEO, Alexandr Wang to take over Meta’s AI strategy. [...] Based on the investment made into Scale AI and Wang, it’s pretty clear that Meta — and Zuckerberg — is determined to build a state-of-the-art LLM that can be competitive with the latest versions of Claude and ChatGPT. But Meta has to start pretty much from scratch, and it’s up to Alexandr Wang to deliver. [...]

    Zuckerberg has full control over the business, and has made the decisions to reallocate a good part of engineering folks to data labeling, to roll out tracking software, and to lay off 10% of staff when Meta achieved record revenue and profits. As the CEO, the buck clearly stops with him.

    But it’s hard to unsee that — outside of layoffs — everything that Meta is doing is taken from the Scale AI playbook, and that surely comes from Wang.</blockquote>

It sounds like in addition to running Meta’s “AI strategy”, Zuckerberg has effectively put Wang in charge of engineering at Meta, and Wang is trying to replace human engineers with AI. During the transition, the job of engineers at Meta has changed from writing code to training AI systems that Zuckerberg and Wang aren’t even trying to hide are intended to replace the people. What the Oompa Loompas were to Willy Wonka, Zuckerberg wants AI to be for him.

I’m not sure it’s any more realistic. Meta has always been a bad company. Now it seems like a bad company that’s lost its fucking mind."]]></description>
<dc:subject>johngruber markzuckerberg meta ai artificialintelligence facebook alexandrwang 2026 gergelyorosz substack management web internet online coding culture morale work labor scaleai llms chatgpt claude</dc:subject>
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    <title>Citations Needed: News Brief: Despite 9-Figure Infusion from Silicon Valley, Abundance Still Seeks Popular Support</title>
    <dc:date>2026-07-02T01:36:19+00:00</dc:date>
    <link>https://citationsneeded.libsyn.com/news-brief-despite-9-figure-infusion-from-silicon-valley-abundance-still-seeks-popular-support</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In this news brief, we catch up with Dylan Gyauch-Lewis, senior researcher at the Revolving Door Project, to discuss Abundance's PR problems, why this latest neoliberalism rebrand isn't catching on and how Silicon Valley billionaires still see 'Abundance' as their best chance to counter populist forces in the Democratic Party."]]></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>
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[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>
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<item rdf:about="https://www.theatlantic.com/magazine/archive/2023/07/generative-ai-human-culture-philosophy/674165/">
    <title>A Defense of Humanity in the Age of AI - The Atlantic</title>
    <dc:date>2026-06-06T10:57:50+00:00</dc:date>
    <link>https://www.theatlantic.com/magazine/archive/2023/07/generative-ai-human-culture-philosophy/674165/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The Coming Humanist Renaissance

We need a cultural and philosophical movement to meet the rise of artificial superintelligence."

[archived:
https://archive.is/Ql35H ]

"Writers of fiction—Fyodor Dostoyevsky, Rod Serling, José Saramago—have for generations warned of doppelgängers that might sap our humanity by stealing a person’s likeness. Our new world is a wormhole to that uncanny valley.

Whereas the first algorithmic revolution involved using people’s personal data to reorder the world for them, the next will involve our personal data being used not just to splinter our shared sense of reality, but to invent synthetic replicas. The profit-minded music-studio exec will thrill to the notion of an AI-generated voice with AI-generated songs, not attached to a human with intellectual-property rights. Artists, writers, and musicians should anticipate widespread impostor efforts and fight against them. So should all of us. One computer scientist recently told me she’s planning to create a secret code word that only she and her elderly parents know, so that if they ever hear her voice on the other end of the phone pleading for help or money, they’ll know whether it’s been generated by an AI trained on her publicly available lectures to sound exactly like her and scam them.

Today’s elementary-school children are already learning not to trust that anything they see or hear through a screen is real. But they deserve a modern technological and informational environment built on Enlightenment values: reason, human autonomy, and the respectful exchange of ideas. Not everything should be recorded or shared; there is individual freedom in embracing ephemerality. More human interactions should take place only between the people involved; privacy is key to preserving our humanity.

Finally, a more existential consideration requires our attention, and that is the degree to which the pursuit of knowledge orients us inward or outward. The artificial intelligence of the near future will supercharge our empirical abilities, but it may also dampen our curiosity. We are at risk of becoming so enamored of the synthetic worlds that we create—all data sets, duplicates, and feedback loops—that we cease to peer into the unknown with any degree of true wonder or originality.

We should trust human ingenuity and creative intuition, and resist overreliance on tools that dull the wisdom of our own aesthetics and intellect. Emerson once wrote that Isaac Newton “used the same wit to weigh the moon that he used to buckle his shoes.” Newton, I’ll point out, also used that wit to invent a reflecting telescope, the beginnings of a powerful technology that has allowed humankind to squint at the origins of the universe. But the spirit of Emerson’s idea remains crucial: Observing the world, taking it in using our senses, is an essential exercise on the path to knowledge. We can and should layer on technological tools that will aid us in this endeavor, but never at the expense of seeing, feeling, and ultimately knowing for ourselves.

A future in which overconfident machines seem to hold the answers to all of life’s cosmic questions is not only dangerously misguided, but takes away that which makes us human. In an age of anger, and snap reactions, and seemingly all-knowing AI, we should put more emphasis on contemplation as a way of being. We should embrace an unfinished state of thinking, the constant work of challenging our preconceived notions, seeking out those with whom we disagree, and sometimes still not knowing. We are mortal beings, driven to know more than we ever will or ever can.

The passage of time has the capacity to erase human knowledge: Whole languages disappear; explorers lose their feel for crossing the oceans by gazing at the stars. Technology continually reshapes our intellectual capacities. What remains is the fact that we are on this planet to seek knowledge, truth, and beauty—and that we only get so much time to do it.

As a small child in Concord, Massachusetts, I could see Emerson’s home from my bedroom window. Recently, I went back for a visit. Emerson’s house has always captured my imagination. He lived there for 47 years until his death, in 1882. Today, it is maintained by his descendants and a small staff dedicated to his legacy. The house is some 200 years old, and shows its age in creaks and stains. But it also possesses a quality that is extraordinarily rare for a structure of such historic importance: 141 years after his death, Emerson’s house still feels like his. His books are on the shelves. One of his hats hangs on a hook by the door. The original William Morris wallpaper is bright green in the carriage entryway. A rendering of Francesco Salviati’s The Three Fates, holding the thread of destiny, stands watch over the mantel in his study. This is the room in which Emerson wrote Nature. The table where he sat to write it is still there, next to the fireplace.

Standing in Emerson’s study, I thought about how no technology is as good as going to the place, whatever the destination. No book, no photograph, no television broadcast, no tweet, no meme, no augmented reality, no hologram, no AI-generated blueprint or fever dream can replace what we as humans experience. This is why you make the trip, you cross the ocean, you watch the sunset, you hear the crickets, you notice the phase of the moon. It is why you touch the arm of the person beside you as you laugh. And it is why you stand in awe at the Jardin des Plantes, floored by the universe as it reveals its hidden code to you."]]></description>
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<item rdf:about="https://www.nytimes.com/2026/06/04/us/social-media-schools.html">
    <title>‘Teachers Are Going to Hate It’: How Social Media Apps Hooked Teens at School - The New York Times</title>
    <dc:date>2026-06-05T05:37:40+00:00</dc:date>
    <link>https://www.nytimes.com/2026/06/04/us/social-media-schools.html</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Internal documents show how tech giants grabbed children’s attention throughout the day, a strategy that schools say has undermined education."

[archived:
https://archive.is/ijKtV ]

"Snapchat sent phone alerts to adolescents during school hours, urging them to share what was going on in their classrooms.

Meta paid “teen ambassadors” to promote Instagram and hand out swag to their friends at school.

TikTok gave the National PTA millions of dollars, in part to throw school events about online safety and provide favorable comments to journalists.

Again and again, the world’s leading social media companies have targeted students, even as complaints have mounted that they are hurting teenagers’ mental health and academic performance, according to a New York Times review of internal documents that lay bare for the first time these tactics to hook young users.

The documents emerged from lawsuits filed by more than 1,400 school districts against Meta, Snap, TikTok and YouTube amid a rising backlash against social media, with parent movements and best-selling books blaming the platforms for loneliness, bullying, eating disorders and sexual exploitation.

The outcry, long focused on social media’s harm to mental health, has now shifted to its upending of the classroom. Many school districts are banning smartphones, and some are re-evaluating their reliance on devices like Chromebooks, the inexpensive laptops made by YouTube’s parent company, Google.

The companies’ push to keep children glued to their screens has overshadowed concerns from parents, teachers and even their own trust and safety teams about interfering with school, according to the documents and interviews with dozens of parents, teachers and former tech company employees.

TikTok’s leaders decided not to disable notifications during school hours, rejecting a change that its safety teams had pushed for years. A Snapchat strategy document referred to classroom phone use as “under the desk” time. Google managers knew YouTube was recommending videos to students during the school day that had nothing to do with their lessons.

The school districts contend that the apps’ addictive designs made teachers’ jobs more difficult. “It is so constantly tempting to these kids to be on a platform that promises endless, infinite, varied entertainment rather than actually focusing on what they should be at school to do,” said Previn Warren, one of the lead lawyers for the schools.

The companies argue that the Covid pandemic and other factors have harmed adolescents’ mental health, and that parents, schools and cellphone makers bear responsibility for children’s phone habits. They also say that they have made their platforms safer with parental-control features and account restrictions for minors.

All four companies recently settled with Breathitt County Schools, a small district in rural Kentucky that served as a test case for the litigation nationwide. The district, which has about 1,500 students, had sought $3 million in damages and about $60 million that it had planned to put toward a long-term education and mental health plan. The companies agreed to pay Breathitt $27 million: $9 million from Meta, $8 million each from Snap and TikTok and $2 million from Google, according to documents released on Friday and first reported by Bloomberg.

While it’s hard to say how the ongoing litigation might ultimately affect classrooms, it poses a substantial financial risk to the companies, possibly costing billions of dollars, said Alexandra Lahav, a civil litigation professor at Cornell Law School. She noted that the companies were also facing a barrage of claims from families and state attorneys general.

Breathitt was the first of six so-called bellwether cases, whose outcomes are likely to guide the rest. The next plaintiff in line for trial, Tucson Unified School District in Arizona, which has about 40,000 students, is seeking more than $1 billion.

“These are massive, massive lawsuits,” Ms. Lahav said.

Winning with Teens

In the early days of social media, before the industry came under angry public scrutiny, some company leaders were candid about their pursuit of teenagers — a key demographic that they knew could drive the next hit app and yield lifelong users.

In 2012, a few months after the launch of Snapchat, its co-founder Evan Spiegel, then 21, wrote a blog post about feedback he had heard from some of the app’s early users.

“We were thrilled to hear that most of them were high school students who were using Snapchat as a new way to pass notes in class,” Mr. Spiegel wrote, indicating that “peaks of activity” occurred during school hours.

Meta also tried to promote its brand in schools, desperate to keep young users from leaving its flagship apps, Facebook and Instagram, for competitors.

“Winning schools is the way to win with teens,” read an internal document from 2018.
Beginning that year, the company recruited teen ambassadors to “act as our plug at local high schools within five key markets.” The students received branded gear to share, and they earned $45 gift cards for completing monthly challenges, such as posting Instagram video chats with friends.

Leia Immanuel, a former teen ambassador who is now an artist in New York City, said her Instagram followers supported her when she was bullied at school. But she now feels conflicted about the role she played in encouraging other young people to use the platform.

“In recent years I have been rethinking it,” she said. She still feels addicted to posting online and believes it is unhealthy. “I didn’t understand that at 14.”

Meta said its outreach efforts at schools, including the ambassadors program, had largely focused on promoting kindness and soliciting feedback on new products.

“We proudly work with parents, schools, safety organizations and teens themselves to inform safety features,” said Liza Crenshaw, a spokeswoman for Meta. She added that some of the documents produced in the lawsuit represented the ideas of individuals, not the company.

Google employees cited classrooms as a source of long-term customers. A 2020 slide deck said that “investing in schools helps onboard kids into Google’s ecosystem.”

With its Chromebook laptops and software tailored for schools, Google has come to dominate the education technology market over the past 15 years. That business boomed during the pandemic, as many districts provided students with their own devices for remote learning. The majority of U.S. schools now use Google products to teach.

Members of the company’s education department were often excited about products they thought could improve learning, such as affordable laptops and educational YouTube videos, according to court documents and interviews. They worked alongside product managers, however, who were focused on a different upside: increasing YouTube’s viewership.

In one 2015 memo, YouTube employees noted that Saturdays drew 80 million hours’ more watch time than Thursdays, and that “increasing usage in schools M-F could decrease this gap!”

It was clear even back then that YouTube was proving problematic for schools, according to documents first reported by The Wall Street Journal. The company’s education team repeatedly complained that the algorithm often led children into a spiral of unrelated content.

One slide presentation illustrated how this could happen. If someone began a YouTube session with a query about linear equations, the platform would first offer a learning video, the presentation showed. But after that, the algorithm would recommend a Will Ferrell comedy video.

A Google spokesman said the documents were outdated. In 2022, the company released a tool that allows teachers to remove ads and recommendations on videos they assign students to watch, said the spokesman, José Castañeda. He also said that YouTube could be blocked, and that browsing on the site had been turned off by default on school Chromebooks for a decade.

But teachers and parents said that even when YouTube and other sites were blocked, students used internet proxies and other workarounds. And schools often allowed YouTube browsing so children could do research, which Google said highlighted its educational value but which made policing its use more difficult.

Joanna Houston, the mother of a sixth grader in Richmond Hill, Ga., said her son had watched more than 1,500 noneducational YouTube videos on his Chromebook during school between August and January.

She was concerned that her son’s school had embraced Chromebooks and YouTube, but she blamed Google for marketing to schools and making it so easy to mindlessly consume its content.

“It’s this whole ecosystem that ultimately benefits this company, and I don’t think it very much benefits students,” she said.

‘The #1 Cause of Drama’

The companies heard complaints not only from parents and teachers but from their own internal trust and safety teams.

At a conference on student safety in 2023, Snap representatives met with education officials from across the United States. According to internal emails, school administrators there raised alarms about their experiences with Snapchat — including children as young as 9 sending nude pictures.

A superintendent from Alabama told the executives that he had warned about the app in a newsletter to parents, which he shared with them. “Snapchat is the #1 cause of drama in school aged children,” it said, citing bullying and inappropriate images. “If YOU want to protect your child, make them delete it.”

That same year, a Snap employee pushed back against a new feature that sent high school students phone notifications during the day. The alerts urged the adolescents to share what was in their backpack or what their class was up to.

The employee said that children should be able to opt out of the notifications to “avoid legal risks around dark patterns” — a term referring to manipulative design features. The suggestion was not taken.

A Snap spokeswoman said that the company was pleased to have resolved the Breathitt lawsuit amicably and that many of the documents showed the company was listening to feedback.

“We do not target schools,” said Monique Bellamy, the spokeswoman, adding that Snapchat is simply popular among teenagers. “We care deeply about the safety and well-being of all Snapchatters, and our teams have worked for years to raise the bar on safety.”

At TikTok, some employees warned that frequent interruptions in the classroom would lead to a backlash.

“Teachers are going to hate it,” an employee wrote in 2022 to an internal group focused on child safety, referring to a new feature prodding users to post within the next three minutes. “Kids already have smartphone addiction in class.”

In response, a manager said the team’s job was to support as well as challenge the business. Competitors, she said, were doing the same thing.

“If we assume teens are going to do this anyway, we’d rather them be here on TikTok,” she wrote. The company removed the feature in 2023.

That same year, TikTok considered turning off notifications altogether for minors during school hours, but the plan was scrapped. Internal documents about the feature noted it would reduce the number of daily active users and would be difficult for the company to administer because of the variety of school schedules.

TikTok declined to comment on the internal documents about app features that affected children in school. A spokeswoman said the app had dozens of privacy and safety settings, including parental controls.

PTA ‘Propaganda’

Leading technology companies have long partnered with parent-teacher associations to burnish their reputations and promote internet safety. But the new documents show how the National PTA, a nonprofit that represents some 22,000 local chapters, actively solicited such contracts.

In a 2024 email pitching its services to Snap, the National PTA promised it could “help with sentiment” and create “more understanding and comfort” among parents. (Snap ultimately declined to offer funding.)

Exactly how much the National PTA has received from social media companies remains secret, but some details emerged in the documents. In 2024, a National PTA official told Snap executives that companies generally paid the organization $250,000 to $500,000 a year, and that a handful gave millions of dollars a year.

“Parents, students and school communities rely on PTA to help them navigate the challenges of a changing world,” said Heidi May Wilson, a spokeswoman for the National PTA, in a statement responding to questions about the lawsuit documents. “That includes technology and social media, which are now central parts of children’s lives.”

TikTok signed the first of several contracts with the group in 2019, just as the app’s thriving business in America was coming under fire. Prominent lawmakers like Senator Marco Rubio had accused its Chinese parent company, ByteDance, of censorship, painting it as a propaganda tool of the Chinese Communist Party.

The deal with the National PTA aimed to “positively raise ByteDance’s profile among parents,” according to a PTA slide deck for the company that was quoted in a plaintiff brief.

In November 2019, a National PTA employee asked its new sponsor where it should host an internet safety event. In emails, TikTok employees discussed that the ideal schools would be in “major market media centers” and “sensitive political districts.”

Tampa, which was represented by Mr. Rubio and had the most populous TV viewing area in Florida, met both criteria. The National PTA gave a county chapter $1,000 to put on the event at Buchanan Middle School.

In addition to about 75 parents and children, local TV reporters showed up to the cafeteria event in February 2020. Surrounded by balloons with TikTok’s logo, parents talked about screen-time rules, and a panel of students answered questions. A local influencer said that TikTok had helped her build a career traveling the world.

While many parents appreciated that the event helped them talk about social media with their children, the influencer’s presence felt like “propaganda,” said Damaris Allen, who was then the chapter president. “I just remember being very, very annoyed.”

Later that year, TikTok gave the National PTA $2 million for support during the pandemic. It paid another $3 million in 2024 for the group to promote the company’s youth safety efforts, including providing “positive” quotes to news outlets. The TikTok spokeswoman said the company was proud to fund the organization.

In December of last year, a publication in northeast Ohio covered a TikTok-sponsored event about online safety. A National PTA representative told the outlet: “It was important for the youth to illustrate how they use platforms and how they use TikTok for good.”"]]></description>
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    <title>The Metaverse Fever Dream – Pixel Envy</title>
    <dc:date>2026-06-02T05:38:30+00:00</dc:date>
    <link>https://pxlnv.com/blog/metaverse-fever-dream/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[[via:
https://daringfireball.net/linked/2026/06/01/the-metaverse-fever-dream ]]]></description>
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<item rdf:about="https://www.wheresyoured.at/the-revenge-of-the-business-idiot/">
    <title>Revenge of The Business Idiot</title>
    <dc:date>2026-05-27T00:03:41+00:00</dc:date>
    <link>https://www.wheresyoured.at/the-revenge-of-the-business-idiot/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["LLMs are dangerous for many, many reasons, but the under-discussed one is how well they play to a certain kind of executive imbecile. Generative AI is — to quote Mo Bitar — really good at doing an impression of work, much like most managers and c-suite executives, and even if it’s completely incapable of doing something, it’ll absolutely say it can and tell you you’re amazing for suggesting it.

And that’s why Business Idiots love it. 

Where regular human beings would say annoying things like “that’s not possible within that timeline” or “we don’t have the resources to do it,” AI will say “of course, right away!” and burn as many tokens as possible. When it makes mistakes, it’ll apologize — as it should because it failed you — but then promise to do better next time, all while costing so much less, at least in theory, than a regular, stinky human being. 

It’ll create a PRD (product requirements document) of a theoretical software project with the confidence and vigor that you need to take it immediately to a software engineer and say “build this immediately,” and when the software engineer tells you a bunch of bullshit about it not being possible, it’ll spit out several convincing-sounding responses. Fuck, why even bother talking to that engineer at all? Claude Code can mock up a prototype that you can then shove in their fucking face before you fire them for not using AI to do it themselves.

I realize I sound a little churlish and dismissive of those who may or may not actually get something out of AI, but this entire industry feels like a mixture of kayfabe and ignorance, slathered with a kind of angry desperation that reflects the distance between reality and fantasy, driven by people that don’t do any fucking work. 

Any executive-level fuckwit you’ve met in your life now has a seemingly-powerful tool that can burp up mimicry of open source software and, if you constantly prompt it, eventually get something half-functional onto some sort of web server. When you face bugs, it’ll try and fix them, sometimes also “fixing” (adding or deleting code) from elsewhere to be helpful, like when Cursor using Anthropic’s Claude Opus 4.6 model deleted an entire production database and all its backups. It will never, ever say no, even if it’s incapable, even if it has no thoughts, even if what you are asking is equal parts impossible and unreasonable in both its timescale and scope.

A Business Idiot, given his druthers, can sit there and fuck around and make an LLM spit out something that makes him feel like he’s coding, which in turn makes him feel that you, a lazy and stupid engineer, could do even more with the power of AI. It doesn’t matter that it costs an absolute shit-ton of money, or that there’s no way to measure its efficacy. The Lion does not concern himself with things like “efficacy” or “productivity,” and the Lion is increasingly tired of your whining! The Lion doesn’t even understand what it is you do every day other than not doing what The Lion is asking for!

You laugh, but this is genuinely how the majority of managers and executives think and act, and now they have a special chatbot that can fart out functional-enough prototypes to convince a Business Idiot they can do anything, because executives and managers do not regularly do much work. As a result, they have little idea what work looks like other than when they look over your shoulder, which is why they wanted you back in the office, and their distance from production is why the same people who were anti-remote work are now aggressively trying to shove AI down your throat. 

Organizations aren’t burning millions or hundreds of millions of dollars a year on AI because it’s good, they’re doing it because they are run by people who do not know what the fuck they’re doing. 

Generative AI is catnip for hall monitors, snitches, toadies, and any other group that hates work and loves talking down to others. Put another way, it ingratiates losers who believe that learning to do or being good at something is a waste of time, because they deserve to just do what they want without any of that messy “effort.” 

While I’m not saying every LLM user is an imbecile, they’re built to convince the mediocre and incurious that they’re remarkable, and it turns out that a great many of them run venture capital firms and Fortune 500 companies.

I also want to be clear that while there are sane and normal people who use these things, they’re mostly drowned out by a crowd of people that oscillate between bootlicking and regurgitating capitalist mythology in a way that makes it hard to trust anybody who spends significant amounts of time using an LLM. 

One thing you’ll notice about the most moistened AI boosters is that they lack much degree of pride in their work. Everything they say must, at some point, compliment the mindless, unprofitable, unreliable tool underneath it — how “incredibly powerful” it is, how it’s “only getting better,” how it’s “only the beginning” of something that’s eaten over a trillion dollars and absorbed the majority of venture capital. 

It isn’t about the work, or the craft, or the thought behind it. Everything is a numb, mindless death march toward saying “job done” and burping out some sort of pseudo product, if one even exists."

...

"The AI Industry Is A Grifting Machine

I want to lead with a surprising comment: I don’t think LLMs, as a tool, are a grift. There are use cases, though those use cases are miniscule compared to the egregious promises and extrapolations made by the majority of the media and the executive sect, and absolutely nothing about them warrants the amount of money invested in them. 

That being said, I think LLMs lend themselves perfectly to grifting.

Sam Altman helped propagate a technology perfect for conning people with potential, a larger extrapolation of Altman’s own life of taking dogshit — Loopt, for example! — and parlaying it into larger opportunities. It can make a really half-hearted demo of a lot of things, and that’s good enough to sell to Business Idiot. 

Dario Amodei took this grift and perfected it. Anthropic is a company purpose-built to con people into giving it by money by making people feel smart. LLMs can do work-shaped stuff, sometimes, as long as you debase yourself to accept mediocre and often-broken stuff that you have to keep a vigilant eye on, and either use a subsided product that loses Anthropic money or pay a shit ton of money as an enterprise to Anthropic and it still loses money. 

The media was also primed for the grift. Reporters are never incentivized or supported to actually spend meaningful time understanding technology, meaning that the vast majority lean toward access journalism or, at best, the most kindly, “objective” (read: pro-business) takes that result in “wow, isn’t the future great?” no matter how good the thing they’re using actually is. Editors are, in many cases, entirely disconnected from the process of reporting or writing, let alone the underlying technology their reporters cover, which leads them to at best live in a world of “I sure don’t trust these CEOs but their technology sure is powerful.” 

As a result, all a technology has to do is either look or sound plausible. Can LLMs write all code? Not really! But because they can write some code and there are lots of eager people on Twitter saying it’s powerful, that’s all it takes to write the sentence “software engineers are writing most of their code using LLMs.” Can Anthropic actually take down Figma? God no, but the mere existence of Claude Design is enough to write that it might. All it takes is the hint of something to be true for it to be written about as gospel. Each statement adds another bullet point to Anthropic’s investor deck so that it can raise another $30 billion in funding, which in turn validates any journalist’s beliefs in Anthropic’s ability to destroy other companies with a product the journalist has not and never will use. 

Business Idiots did well to pressure modern journalism into conflating scrutiny with a lack of curiosity. To ask too many questions is “unfair.” To not immediately assume that LLMs are getting “exponentially better” is to be an ignorant luddite. To not assume that everything will work out like it did with Uber or Amazon Web Services is to “ignore history.” 

Grifters took advantage of this industrialized intellectual weakness using a tool purpose-built to do enough of an impression of something to impress the media and executives.

It worked, because both are sold to in much the same way — by telling a plausible-enough story that ingratiates somebody who is never the end user of the product in question. 

If a journalist gets curious, an LLM can make a good-enough impression of somebody writing software to fool somebody who doesn’t really know what they’re doing, and if you prompt it again and again and again, it can get something functional out the door. This is all it takes for somebody — a reporter or an executive — to extrapolate that because they were able to do something (even though the LLM did it), a subject-matter expert would be able to do even more."

...

"I write this newsletter to hopefully do three things:

• First, to tell you that the Business Idiot class wants you to doubt yourself, because whether you recognize it or not, they’re engaged in acts of information warfare against you.

• Second, to remind you that facts are facts, and numbers are numbers, and that no amount of puffery or obfuscation can change pure mathematical reality. The AI bubble is exactly that, a bubble, and like all bubbles, it will eventually pop.

• Third, to remind you what it is we’re fighting for. Because every newsletter I write isn’t simply about highlighting mathematical stupidity, or corruption, or dishonesty.

I do it because I believe, fundamentally, that these people — Altman, Amodei, Nadella, and the many, many other villains that I’ve mentioned in these pages — are bad people, and their values are the antithesis of my values. I care about people, and humanity, and truth, and they do not. 

I deeply love technology, and feel it made me the person I am today. It allows me to do wonderful things, connect with wonderful people, and discover endless troves of incredible information. The computer is marvelous. The computer has done many wonderful things for me, despite what all the Business Idiots say.

I see LLMs as a violation of everything that great computing stands for. The AI industry encourages its users to both accept and present low-quality work and demands that they constantly defend the industry from those who would demand better from it. It is inefficient, power-intensive, environmentally destructive, and inherently sold based on things that it might do, providing far more value to scam artists and con men than it does to its end users. 

This is a mask-off moment for both the ruling class and those captured by capital, and an opportunity to look around you and see who is most-easily fooled.

No industry of value needs to mislead you or make you feel bad for not adopting their technology. No trustworthy individual will ever see the need to humiliate or attack somebody for being insufficiently excited about a product. No CEO that talks of a theoretical future as a means of selling you software in the present should be trusted. No technology that makes mistakes with regularity should be defended.

And no industry that demands everything from us — our land, our energy, our water, our jobs, our art, our writing, our attention and every dollar we have — should ever be treated with anything but revulsion."]]></description>
<dc:subject>edzitron business 2026 ai artificialintelligence aibubble mobitar claude claudecode chatgpt openai anthropic llms chatbots generativeai genai vc venturecapital salesforce society losers technology google meta siliconvalley andrewbosworth facebook capitalism grift grifting samaltman darioamodei datacenters amazon aws journalism media uber figma elonmusk krishnarao andrewmacdonald marcbenioff klarna sebastiansiemiatowski nvidia gpus blueowl coreweave perplexity greed shamelessness billwinters markzuckerberg andyjassy larryellison sundarpichai satyanadella microsoft oracle values</dc:subject>
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<item rdf:about="https://medialab.sciencespo.fr/en/news/de-lideologie-californienne-a-lideologie-texane-conservatisme-religion-et-extractivisme-au-sein-du-secteur-des/">
    <title>From Californian to Texan Ideology: Conservatism, Religion and Extractivism in the Tech Sector | médialab Sciences Po</title>
    <dc:date>2026-05-23T22:57:21+00:00</dc:date>
    <link>https://medialab.sciencespo.fr/en/news/de-lideologie-californienne-a-lideologie-texane-conservatisme-religion-et-extractivisme-au-sein-du-secteur-des/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["On the occasion of a special session co-organized with the CNRS Center for Internet and Society, the médialab seminar welcomes Fred Turner (Stanford University). He will offer a critical reading of the ideological transformations underway in the American tech world, from California’s libertarian utopia to the more conservative ideology now embodied by Texas.

Abstract

As they leave California for Texas, major digital companies are doing more than looking for new spaces. Their leaders (Elon Musk, Larry Ellison, Joe Lonsdale...) are settling in a state where religion plays a major role, in a Bible Belt dominated by oil billionaires. Texan politics can be summed up in a few words: tax refusal, deregulation, and the narrative of a new frontier populated by “those who are willing to take the necessary risks.” 

Just like oil, digital technologies, including AI and cryptocurrencies, as well as space exploration, depend on public funding and environmental leniency to thrive. So why not take power directly? Tech leaders are now pursuing that path, following in the footsteps of speculative oil investors. 

How did the digital world move from the Californian ideology, where entrepreneurialism was mixed with the legacies of counterculture, to the Texan ideology, shaped by a rejection of any interference except that of the Gospels, and where great, deserving men are seen as working in the name of God? 
Biography  

After a career in journalism in Boston and teaching at MIT and Harvard, Fred Turner is now Professor and Chair of the Department of Communication at Stanford University.

His research explores the relationships between media technologies and cultural transformations, with a particular focus on the role of emerging media in shaping American society since World War II.

He is the author of three influential books: The Democratic Surround: Multimedia and American Liberalism from World War II to the Psychedelic Sixties, From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network and the Rise of Digital Utopianism, and Echoes of Combat: The Vietnam War in American Memory.

Fred Turner’s work has received numerous academic awards and has been translated into French, Spanish, German, Polish and Chinese."

[direct link to video: https://vimeo.com/1137645914

See also:
https://newbooksnetwork.com/fred-turner-on-countercultures-cybercultures-and-californian-and-texan-ideologies
https://thebaffler.com/salvos/the-texan-ideology-turner ]]]></description>
<dc:subject>fredturner 2025 siliconvalley californianideology texanideology california texas billionaires fortresses tescreal libertarianism elonmusk gigafactory tesla capitlaism latecapitalism technology billionaites oligarchy climate climatechange environment globalwarming richardbarbrook andycameron sanfrancisco 1960s couunterculture 1990s extraction extractivism bunkers christianity billygraham religion politics race racism neoliberalism economics misogyny christiannationalism policy web internet online dotcomboom dotcombust johnperrybarlow newtgingrich newright rightwing farright right freemarkets freemarketfundamentalism conservatism idealism poverty austin markzuckerberg facebook meta us tiktok google joelonsdale tennessee memphis fbi fairbanks alaska louisiana covid-19 pandemic coronavirus gregabbott rickperry hooverinstitution labor energy water electricity regulation deregulation housing taxes taxation antiwoke newdeal universities colleges academia highered highereducation margaretatwood petrobaptists fossilfu</dc:subject>
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<item rdf:about="https://newbooksnetwork.com/fred-turner-on-countercultures-cybercultures-and-californian-and-texan-ideologies">
    <title>Fred Turner on Countercultures, Cybercultures, and Californian and Texan Ideologies - New Books Network</title>
    <dc:date>2026-05-23T22:56:29+00:00</dc:date>
    <link>https://newbooksnetwork.com/fred-turner-on-countercultures-cybercultures-and-californian-and-texan-ideologies</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Peoples & Things host, Lee Vinsel, and guest host, Paula Bialski, Associate Professor of Digital Sociology at University of St. Gallen, talk to Fred Turner, Harry and Norman Chandler Professor of Communication at Stanford University, about his classic 2006 book, _From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network, and the Rise of Digital Utopianism_. They briefly explore the arc of Fred’s career and revisit the book in the spirit of asking what has changed in digital ideology since the book’s publication, including with the role of Silicon Valley elites in the second Trump Administration, Elon Musk’s role in DOGE, and the (perhaps only brief) turn of digital technology elites moving from California to Texas. Since this conversation was recorded in April 2025, Fred’s essay, “The Texan Ideology,” has been published in The Baffler: https://thebaffler.com/salvos/the-texan-ideology-turner "

[See also: 
https://medialab.sciencespo.fr/en/news/de-lideologie-californienne-a-lideologie-texane-conservatisme-religion-et-extractivisme-au-sein-du-secteur-des/
https://vimeo.com/1137645914 ]]]></description>
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<item rdf:about="https://adamtooze.substack.com/p/chartbook-447-the-us-economy-in-may">
    <title>Chartbook 447: The US economy in May 2026 - How much cognitive dissonance can you handle?</title>
    <dc:date>2026-05-11T01:03:20+00:00</dc:date>
    <link>https://adamtooze.substack.com/p/chartbook-447-the-us-economy-in-may</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["So, the money is going around and around.

Perhaps what is at play is the old adage that if the music is playing you have to dance.

Or perhaps. as Gita Gopinath argues, it is all down to moral hazard. The markets don’t actually have to believe that all is well. They just need to believe that if something does go wrong they will be bailed out - the so-called “bliss trade”. COVID, Ukraine and now Hormuz may all be symptoms of polycrisis, or what James Meadway calls “permament crisis”. The idea that the world ever “returns to normal” may be naive. But what has also changed is the response function of policy. To each successive crisis since 2020, as Gopinath points out, fiscal policy has reacted with “big lasting state support”. At some point this is priced into the market:

<blockquote>Such a belief is consistent with government actions over the past several years, actions that have driven public debt levels ever higher and expanded central bank balance sheets. Global public debt is now projected to reach 100 per cent of GDP by 2029. During the pandemic, the balance sheets of households and firms were not just rescued but boosted by very large government support that averaged 25 per cent of GDP for advanced economies, including assistance in the form of equity injections, loans and government guarantees to companies. This boost has buoyed consumer and business finances for several years. When Russia’s invasion of Ukraine set off an energy crisis, governments in Europe spent 2.5 per cent of GDP in energy support in the form of broad-based price-suppressing measures when it would have required only 0.9 per cent of GDP to fully compensate the bottom 40 per cent of households for the entire rise in energy costs. Germany, Italy and Spain have all reactivated price-distorting taxes and subsidies to insulate people from the current energy price surge. There are plenty of good reasons for the state to provide support in a crisis. However, the past several years of government support have gone against sound fiscal advice by being large and lasting instead of targeted and temporary. … The urge to rush to the rescue, regardless of merit, was recently evident in President Donald Trump’s attempts to bail out the US budget carrier Spirit Airlines as he mused “I’d love to be able to save an airline”. While the bailout ultimately did not go through, it does not take much imagination to predict that in a real crisis, government support in the US would be excessive. Moreover, while Taco is idiosyncratic and dependent on the psychology of the US president, Bliss is structural. Research shows that political parties of all stripes, from socialists to conservatives, all now favour higher government spending, and fiscal restraint has few champions.</blockquote>

Of course, a policy of crisis-management is better than none. But in a model of moral hazard each bailout results in a build-up of ever greater risks. Speculators are more irresponsible and financial leverage builds up. And it is the public balance sheet that absorbs the hit. As Gopinath points out:

<blockquote>The Bliss trade is reflected in the divergence between the prices of stocks and government bonds. While equity markets have held up surprisingly well, government bonds have suffered even as long-run inflation expectations have stayed mostly anchored. Since the start of the Iran conflict, long-term government bond yields have risen across major economies including the US, Europe and Japan. This divergence has become a pattern over the past several years. Term premia on 10-year US treasury yields are now close to 100 basis points higher than they were before the pandemic, driving up the interest rate bill. … The IMF predicts that in a severe scenario, the Iran conflict could cause global growth to fall to 2 per cent (instead of the reference forecast of 3.1 per cent) and global debt could rise past 120 per cent of GDP. … As compared to before the pandemic, the scope to deliver on fiscal largesse is limited. Even in advanced economies, the sensitivity of borrowing costs to debt issuance has increased, which then spills over into emerging and developing economy borrowing costs. Even as bond prices have declined, markets may be too sanguine about the consequences of rising debt on fiscal health.</blockquote>

To say that the inherent fragility of the system is not addressed is an understatement. Deregulation being pushed by lobby groups and their friends in the Trump administration is opening the door to all manner of risk-taking. Meanwhile, the underlying problems, whether that be the disorder in US politics, the unresolved tensions in the Middle East or the possible impacts from AI go completely unaddressed or denied. Indeed, in the Middle East, the US is fully backing the all-out disruption being pushed by Netanyahu’s government.

Gopinath urges that

<blockquote>Policymakers would do well to use this period in which stock markets seem disconnected from heightened risk to craft a new playbook for crisis support that is both fiscally sustainable and supportive of long-term growth. The experiences of the pandemic and Ukraine war provide a valuable lesson in what that should look like: support targeted to the vulnerable; bailouts only to companies that are liquidity constrained but otherwise viable — and whose failure poses systemic risks; and co-ordinated fiscal and monetary policy so they do not work at cross-purposes.</blockquote>

But this kind of systemic, holistic risk management looks increasingly like a pious fiction, out of touch with reality. That for Gopinath risks an escalating unmooring of once conventional policy norms:

<blockquote>If a new course is not charted, governments constrained by fiscal space may rely on heterodox measures, including broad-based price controls, financial repression, nationalisations, and pressure on central banks to absorb fiscal risk.</blockquote>

A progressive might welcome such outcomes. Financial repression and Treasury-central bank cooperation are topics to which we should definitely return. But it would be dangerous to assume that financial markets will take the same view. For now, the bond vigilantes may be in abeyance. But don’t count on it. As Gopinath warns, if investors wake up with a start to the world they are actually in the reaction could be nasty.

<blockquote>None of this would be good for the economy with synchronised sell-offs across stocks and bonds as markets realise that the backstop they were counting on is no longer there.</blockquote>

In short, the complacency of the current moment may morph into something far more unstable and potentially dangerous.

All this is the fruit of reading just a few days of coverage in one newspaper - admittedly the world’s best ;).

So here is the question in the spring of 2026: How much cognitive dissonance can you handle?"]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=7tnwGolP9xE">
    <title>Zuck officially did the worst thing in AI - YouTube</title>
    <dc:date>2026-05-01T01:14:29+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=7tnwGolP9xE</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Meta employees need to leave. 

Sources:
https://www.businessinsider.com/meta-new-ai-tool-tracks-staff-activity-sparks-concern-2026-4
https://www.reuters.com/sustainability/boards-policy-regulation/meta-start-capturing-employee-mouse-movements-keystrokes-ai-training-data-2026-04-21/
https://tech.yahoo.com/ai/meta-ai/articles/meta-tracking-employee-keystrokes-train-114500015.html
https://www.nytimes.com/2026/04/23/technology/meta-layoffs.html
https://fortune.com/2026/04/28/nvidia-executive-cost-of-ai-is-greater-than-cost-of-employees/ "]]></description>
<dc:subject>mobitar ai artificialintelligence 2026 meta markzuckerberg data intelligence surveillance privacy dignity labor facebook</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:fa9e2ca40ad9/</dc:identifier>
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<item rdf:about="https://www.theverge.com/podcast/917029/software-brain-ai-backlash-databases-automation">
    <title>BEWARE SOFTWARE BRAIN | The Verge</title>
    <dc:date>2026-04-24T05:54:42+00:00</dc:date>
    <link>https://www.theverge.com/podcast/917029/software-brain-ai-backlash-databases-automation</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["﻿Software brain is changing the world, but most people still aren’t buying."

...

"So what is software brain? The simplest definition I’ve come up with is that it’s when you see the whole world as a series of databases that can be controlled with the structured language of software code. Like I said, this is a powerful way of seeing things. So much of our lives run through databases, and a bunch of important companies have been built around maintaining those databases and providing access to them.

Zillow is a database of houses. Uber is a database of cars and riders. YouTube is a database of videos. The Verge’s website is a database of stories. You can go on and on and on. Once you start seeing the world as a bunch of databases, it’s a small jump to feeling like you can control everything if you can just control the data.

But that doesn’t always work. Here’s an example: Elon Musk and DOGE showed up in the government, and the first thing they did was take control of a bunch of databases. And they ran into the undeniable fact that the databases aren’t reality, and DOGE ended in hilarious failure. It turns out software brain has a limit — the government isn’t software. People aren’t computers, and they don’t live in automatable loops that can be neatly captured in databases.

Anyone who’s actually ever run a database knows this. At some point, the database stops matching reality. At that point, we usually end up tweaking the database, not the world. But the AI industry has fully lost sight of this, because AI thrives on data. It’s just software, after all. And so the ask is for more and more of us to conform our lives to the database, not the other way around.

Let me offer you another example that I think about all the time, especially as AI finds real fit as a business tool. It’s the idea that AI is coming for lawyers and the legal system. The AI industry loves to talk about not needing lawyers anymore, which is already getting all kinds of people into all kinds of trouble. But I get it. I’ve spent a lot of time with lawyers. I used to be a lawyer. My wife is still a lawyer. Some of my best friends are lawyers.

I also spend all of my time at work talking to tech people. And so over time, I’ve learned that the overlap between software brain and lawyer brain is very, very deep. Alluringly deep. If the heart of software brain is the idea that thinking in the structured language of code can make things happen in the real world, well, the heart of lawyer brain is that thinking in the structured legal language of statutes and citations can also make things happen. Hell, it can give you power over society.

There are other commonalities. Both software development and the law depend heavily on precedent. We have a body of case law in this country, and we use it over and over again to help us resolve disputes, just like software engineers have libraries of code that they turn to repeatedly to build the foundations of their products. The similarities run deep: at the end of the day, both lawyers and engineers do their best to use formal, structured language to guide the behavior of complicated systems in predictable and potentially profitable ways.

(I am far from the first person with this idea, by the way. Larry Lessig wrote a book called Code and Other Laws of Cyberspace in 2000. It’s just as relevant today as it was a quarter century ago.)

This intoxicating similarity between law and code trips people up all the time. People are constantly trying to issue commands to society at large like it’s a computer that will obey instructions. There are examples of this big and small — my favorite are those Facebook forwards insisting Mark Zuckerberg does not have the right to publish people’s photos. Honestly, I look at these, and I think it would be great if the law was actually code. Maybe things would be more predictable. Maybe we’d feel more in control.

But law isn’t actually code, and society and courts aren’t computers. I have to remind our fairly technical audience on Decoder and at The Verge all the time that the law is not deterministic. You simply cannot take the facts of a case, the law as written, and predict the outcome of that case with any real certainty, even though the formality of the legal system makes people think it works like a computer — that it’s predictable.

But at the end of the day, it’s actually ambiguity that’s at the very heart of our legal system. It’s ambiguity that makes lawyers lawyers. Honestly, it’s ambiguity that makes people hate lawyers because it’s always possible to argue the other side, and it’s always possible to find the gray area in the law. That’s why prosecutors end up working as defense attorneys and why our regulators tend to end up working for big corporations.

You can see the obvious collision between software brain and lawyer brain here. This thing that looks like a computer isn’t actually anything at all like a computer. A lot of people even argue that the law should be more like a computer, that the system should be verifiable and consistent, and that merely issuing the right commands at the right times should lead to objectively correct outcomes.

Bridget McCormack, who used to be the chief justice of the Michigan Supreme Court, was on Decoder a few months ago pitching a fully automated AI arbitration system. Her argument to me was that people perceive the traditional legal system to be so unfair that they will accept a worse outcome from an automated system as more fair as long as they feel heard. And if there’s one thing AI can do, it’s sit there and listen all day and night.

I don’t know if any of that is correct or even workable, but I do know software brain, and that is pure software brain: the idea that we can force the real world to act like a computer and then have AI issue that computer instructions.

You can see the same thing happening in every other kind of industry. You don’t hire a big consulting firm to actually come in and study your business and make it more efficient. You hire them to make slide decks that justify layoffs to your board and shareholders. Big consulting firms are great at this, and now they’re just going to generate those decks with AI. They are already doing this and the layoffs have already begun.

Any business process that looks like code talking to a database in a repetitive way is up for grabs. That’s why Anthropic has been so relentlessly focused on enterprise customers, and it’s why OpenAI is now pivoting to business use. There’s real value in introducing AI to business, because so much of modern business is already software: collecting data, analyzing it, and taking action on it over and over again in a loop. Businesses also control their data, and they can demand that all their databases work together.

In this way, software brain has ruled the business world for a long time. AI has just made it easier than ever for more people to make more software than ever before — for every kind of business to automate big chunks of itself with software. It’s everywhere: the absolute cutting edge of advertising and marketing is automation with AI. It’s not being a creative.

But: not everything is a business. Not everything is a loop! The entire human experience cannot be captured in a database. That’s the limit of software brain. That’s why people hate AI. It flattens them.

Regular people don’t see the opportunity to write code as an opportunity at all. The people do not yearn for automation. I’m a full-on smart home sicko; the lights and shades and climate controls of my house are automated in dozens of ways. But huge companies like Apple, Google and Amazon have struggled for over a decade now to make regular people care about smart home automation at all. And they just don’t.

AI isn’t going to fix that. Most people are not collecting data about every single thing that they do. And if they’re collecting any at all, it’s stored across lots of different systems — your email in Gmail, your messages in iMessage, your work schedule in Outlook, your workouts in Peloton. Those systems don’t talk to each other and maybe they never will, because there’s no reason for them to. Asking people to connect them all freaks them out.

Even taking the time to consider how much of your life is captured in databases makes people unhappy. No one wants to be surveilled constantly, and especially not in a way that makes tech companies even more powerful. But getting everything in a database so software can see it is a preoccupation of the AI industry. It’s why all the meeting systems have AI note takers in them now. It’s why Canva, which is design software, now connects to corporate email systems. My friend Ezra Klein just went to Silicon Valley, and he described the people that are actively trying to flatten themselves into a database:

    Ezra Klein: You might think that A.I. types in Silicon Valley, flush with cash, are on top of the world right now. I found them notably insecure. They think the A.I. age has arrived and its winners and losers will be determined, in part, by speed of adoption. The argument is simple enough: The advantages of working atop an army of A.I. assistants and coders will compound over time, and to begin that process now is to launch yourself far ahead of your competition later. And so they are racing one another to fully integrate A.I. into their lives and into their companies. But that doesn’t just mean using A.I. It means making themselves legible to the A.I.

<blockquote>You can give it access to everything that’s there: your files, your email, your calendar, your messages. It operates continuously in the background, building a persistent memory of your preferences and patterns so it can better act on your behalf. The cybersecurity risks are glaring, but there’s a reason millions of people are using it: The more of your life you open to A.I., the more valuable the A.I. becomes.</blockquote>

I’ve reviewed a lot of tech products over the past decade and a half, and all I can tell you is that it is a failure when you ask people to adapt to computers. Computers should adapt to people. Asking people to make themselves more legible to software —to turn themselves into a database — is a doomed idea.

It’s an ask so big that I can’t imagine a reward that would make it worth it for anyone, even if the tech industry wasn’t constantly talking about how AI will eliminate all the jobs, require a wholesale rethinking of the social contract and — oops — also the latest models might cause catastrophic cybersecurity problems that might lead to the end of the world.

Does this sound like a good deal to you? Can you market your way out of this? This only makes sense if you have software brain — if your operative framework is to flatten everything into databases that you can control with structured language. The people paying thousands of dollars a month to set up swarms of OpenClaw agents and write thousands of lines of code are people who look at the world and see opportunities for automation, to repeat tasks, to collect data. To build software. AI is great for them. It’s even exciting in ways that I think are important and will probably change our relationship to computers forever."]]></description>
<dc:subject>nilaypatel ai artificialintelligence software databases data publicopinion technology internet web online genz generationz zoomers darioamodei anthropic samaltman openai chatgpy claude satyanadella microsoft markzuckerberg facebook google amazon apple ezraklein openclaw society</dc:subject>
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<item rdf:about="https://www.newyorker.com/magazine/2026/04/13/sam-altman-may-control-our-future-can-he-be-trusted">
    <title>Sam Altman May Control Our Future—Can He Be Trusted? | The New Yorker</title>
    <dc:date>2026-04-06T19:08:46+00:00</dc:date>
    <link>https://www.newyorker.com/magazine/2026/04/13/sam-altman-may-control-our-future-can-he-be-trusted</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["New interviews and closely guarded documents shed light on the persistent doubts about the head of OpenAI."

[via:

"Sam Altman is “unconstrained by truth.”
https://www.theverge.com/ai-artificial-intelligence/907421/sam-altman-is-unconstrained-by-truth

A long, and at times funny, report in The New Yorker on Altman’s will to power, people-pleasing, and alleged pattern of deceit, compiled from notes, memos, and more than 100 interviews. Altman’s reputation has given rise to grimmer rumors – hiring sex workers, the sexual pursuit of minors, even involvement in murder – that The New Yorker found no evidence for. Increasingly, the question is not whether computers are intelligent but whether OpenAI’s leadership is."]]]></description>
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	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:jasonkwon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:singularitarianism"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:sambankman-fried"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:persuasion"/>
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</item>
<item rdf:about="https://reallifemag.com/worn-out/">
    <title>Worn Out — Real Life</title>
    <dc:date>2026-03-25T06:11:48+00:00</dc:date>
    <link>https://reallifemag.com/worn-out/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Tech elites’ supposed indifference to fashion is a contempt for the commons"

[via:
https://www.robinsloan.com/newsletters/good-trains/ ]]]></description>
<dc:subject>fashion culture technology drewaustin 2021 commons siliconvalley vanessafriedman publicspace hannahmurphy victoriahitchcock uniform uniforms clothing markzuckerberg marshallmcluhan understandingmedia society hannaharendt appearance gordonhull efficiency uber lyft doordash socialmedia facebook instagram tiktok airpods platforms microsoft nealstephenson nfts metaverse jonahweiner fellowship cynicism experience</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:5ef6f172f701/</dc:identifier>
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</item>
<item rdf:about="https://om.co/2026/03/21/manufacturing-legitimacy-in-the-ai-era/">
    <title>Manufacturing Legitimacy in the AI era – On my Om</title>
    <dc:date>2026-03-22T02:48:07+00:00</dc:date>
    <link>https://om.co/2026/03/21/manufacturing-legitimacy-in-the-ai-era/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["

Michael Smith used AI to create music, and then used AI to create bots to get the “plays” and took the smartest technology companies, including Spotify and Amazon, who should know better, for about $8 million. He is going to jail for his crimes. It is easy to dismiss this as one-and-done fraud. It is anything but. It is an early warning of how AI will disrupt the systems that power our digital society: how culture gets discovered, how commerce gets directed, and how conversations get shaped.

At present, most of our digital society is powered by tech that is, generically speaking, recommendation algorithms. Spotify’s Discover Weekly, YouTube’s suggestion engine, TikTok’s For You page, Amazon’s product feed, Facebook’s news feed. All of it runs on signals of human behavior. Stream counts, completion rates, saves, shares, playlist adds, clicks, purchases. These represent people making choices. The only way to fake that was to hire a back-office army to do it. This is cultural legitimacy laundering.

Scale can now be had for cheap. Almost free. Who is to say that with AI, there won’t be bots that learn and adapt (agents, in polite company) designed to game the system? What if real artists with real music have this army to goose up their stream counts. The algorithm then promotes them to real ears.

What if it is not just real artists, but AI music being created by music-making software models that get better every month. The algorithm promotes this too. Humans like it, save it, share it, and add it to their playlists. They are generating real signals on top of the fake ones. At what point does fraudulently-obtained popularity become real popularity? There’s no clean line.

Just like Uber was limos for everyone, this is payola for anyone, for $200 a month. Even cheaper, if open-source models have their way. You think musicians won’t do it? Look around. They are already buying bots to inflate their numbers using gray-market services. Smith might be the idiot going to jail, but we are facing a structural collapse of the discovery and taste-making apparatus.

In the case of music, since royalties are countable, you can make a case for fraud. In other arenas, things are not going to be as simple. What gets bought on Amazon, what trends on Facebook, what becomes culturally popular. All of it runs on the same logic as Spotify. Signals of human behavior, gamed by machines. AI is making authenticity optional.

Whether it is Spotify directing culture, Amazon directing commerce, or Facebook directing conversations, I have yet to hear from any of their leadership on how they plan to redesign what they do because of the coming onslaught of fake signals.

Smith used crude tools to steal $8 million. His fraud is the boring version of the problem. The interesting version hasn’t been prosecuted yet. It may never be."]]></description>
<dc:subject>ommalik ai artificialintelligence algorithms streaming spotify tiktok amnazon facebook meta payola uber michaelsmith music amazon culture discovery slop aislop</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.deseret.com/magazine/2026/03/04/idaho-data-centers-agriculture-water-future/">
    <title>How data centers are reshaping Idaho’s farm country – Deseret News</title>
    <dc:date>2026-03-21T21:33:28+00:00</dc:date>
    <link>https://www.deseret.com/magazine/2026/03/04/idaho-data-centers-agriculture-water-future/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["As tech giants flock to Idaho to build data centers, competing visions for the West could reshape the country"

[via:
https://www.frontporchrepublic.com/2026/03/meatpackers-barnes-noble-and-wittgenstein/

"Mark Dee reports on the tensions in Idaho farmland as big capital seeks to build data centers here: “To some, southern Idaho’s future isn’t sprouting beneath rolling sprinklers, but pulsing through those wires. The same characteristics that make this land ideal for agriculture make it appealing for developing data centers. Open land, approachable climate, cheap power and sufficient water drew cattlemen from Southern California to southern Idaho in the 20th century. In the 21st century, it’s tech giants and investors eyeing ready returns. Technology, data and power are staking claims on land that has never seen a building larger than a milking barn. The result is competing visions for the West: industrial or agrarian, data centers or center-pivots.” (Recommended by Bill Kauffman.)"]]]></description>
<dc:subject>idaho bigtech datacenters 2026 markdee meta facebook colonization growth rural water west ai artificialintelligence land energy electricity farming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:221f1496bcf5/</dc:identifier>
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<item rdf:about="https://www.svd.se/a/K8nrV4/metas-ai-smart-glasses-and-data-privacy-concerns-workers-say-we-see-everything">
    <title>Meta’s AI Smart Glasses and Data Privacy Concerns: Workers Say “We See Everything”</title>
    <dc:date>2026-03-09T03:42:27+00:00</dc:date>
    <link>https://www.svd.se/a/K8nrV4/metas-ai-smart-glasses-and-data-privacy-concerns-workers-say-we-see-everything</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Bank details, sex and naked people who seem unaware they are being recorded. Behind Meta’s new smart glasses lies a hidden workforce, uneasy about peering into the most intimate parts of other people’s lives."]]></description>
<dc:subject>meta metaglasses smartglasses facebook markzuckerberg 2026 ethics privacy governance security ar</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:ae35a4a87831/</dc:identifier>
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<item rdf:about="https://www.anildash.com/2026/02/27/a-cookie-for-dario/">
    <title>A Cookie for Dario? — Anthropic and selling death - Anil Dash</title>
    <dc:date>2026-03-01T22:35:42+00:00</dc:date>
    <link>https://www.anildash.com/2026/02/27/a-cookie-for-dario/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["How did we get here?

We’ve only allowed ourselves to lower the bar this far because so many of the most powerful voices in Silicon Valley have so completely embraced the authoritarian administration currently in power in the United States. Facebook’s role in enabling the Rohingya genocide truly served as a tipping point in the contemporary normalization of major tech companies enabling crimes against humanity that would have been unthinkable just a few years prior; we can’t picture a world where MySpace helped accelerate the Darfur genocide, because the Silicon Valley tech companies we know about today didn’t yet aspire to that level of political and social control. But there are deeper precedents: IBM provided technology that helped enable the horrors of the holocaust in Germany in the 1940s, and that served as the template for their work implementing apartheid in South Africa in the 1970s. IBM actually bid for the contract to build these products for the South African government. And the systems IBM built were still in place when Elon Musk, Peter Thiel, David Sacks and a number of other Silicon Valley tycoons all lived there during their formative years. Later, as they became the vaunted “PayPal Mafia”, today’s generation of Silicon Valley product managers were taught to look up to them, so it’s no surprise that their acolytes have helped create companies that enable mass persecution and surveillance. But it’s also why one of the first big displays of worker power in tech was when many across the industry stood up against contracts with ICE. That moment was also one of the catalyzing events that drove the tech tycoons into their group chats where they collectively decided that they needed to bring their workers to heel.

And they’ve escalated since then. Now, the richest man in the world, who is CEO of a few of the biggest tech companies, including one of the most influential social networks — and a major defense vendor to the United States government — has been openly inciting civil war for years on the basis of his racist conspiracy theories. The other tech tycoons, who look to him as a role model, think they’re being reasonable by comparison in the fact that they’re only enabling mass violence indirectly. That’s shifted the public conversation into such an extreme direction that we think it’s a debate as to whether or not companies should be party to crimes against humanity, or whether they should automate war crimes. No, they shouldn’t. This isn’t hard.

We don’t have to set the bar this low. We have to remind each other that this isn’t normal for the world, and doesn’t have to be normal for tech. We have to keep repeating the truth about where things stand, because too many people have taken this twisted narrative and accepted it as being real. The majority of tech’s biggest leaders are acting and speaking far beyond the boundaries of decency or basic humanity, and it’s time to stop coddling their behavior or acting as if it’s tolerable.  In the meantime, yes, we can note when one has the temerity to finally, finally do the right thing. And then? Let’s get back to work."]]></description>
<dc:subject>anildash darioamodei petehegseth ai artificialintelligence atnhropic claude llms maga trumpism donaldtrump pentagon military google technology siliconvalley facebook darfur meta myspace us authoritarianism elonmusk peterthiel davidsacks iice paypalmafia ibm southafrica germany 1940s 1970s 2026 rohingya humanity values governance government regulation deregulation warcrimes palantir amazon</dc:subject>
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    <title>Prediction Marketing - Ayesha A. Siddiqi</title>
    <dc:date>2026-02-27T23:50:00+00:00</dc:date>
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    <title>Meta will ruin its smart glasses by being Meta | The Verge</title>
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    <title>The Broken Record</title>
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<item rdf:about="https://slate.com/technology/2026/02/mark-zuckerberg-meta-ai-glasses-school.html">
    <title>Meta A.I. glasses are wreaking havoc across school campuses.</title>
    <dc:date>2026-02-21T21:58:41+00:00</dc:date>
    <link>https://slate.com/technology/2026/02/mark-zuckerberg-meta-ai-glasses-school.html</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["As the discreet wearable cameras become more popular, students are saying they feel constantly watched and harassed—and professors are reshaping their classrooms in response."]]></description>
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<item rdf:about="https://www.nytimes.com/2026/02/13/technology/meta-facial-recognition-smart-glasses.html">
    <title>Meta Plans to Add Facial Recognition Technology to Its Smart Glasses - The New York Times</title>
    <dc:date>2026-02-14T06:40:52+00:00</dc:date>
    <link>https://www.nytimes.com/2026/02/13/technology/meta-facial-recognition-smart-glasses.html</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In an internal memo last year, Meta said the political tumult in the United States would distract critics from the feature’s release."

...

"Five years ago, Facebook shut down the facial recognition system for tagging people in photos on its social network, saying it wanted to find “the right balance” for a technology that raises privacy and legal concerns.

Now it wants to bring facial recognition back.

Meta, Facebook’s parent company, plans to add the feature to its smart glasses, which it makes with the owner of Ray-Ban and Oakley, as soon as this year, according to four people involved with the plans who were not authorized to speak publicly about confidential discussions. The feature, internally called “Name Tag,” would let wearers of smart glasses identify people and get information about them via Meta’s artificial intelligence assistant.

Meta’s plans could change. The Silicon Valley company has been conferring since early last year about how to release a feature that carries “safety and privacy risks,” according to an internal document viewed by The New York Times. The document, from May, described plans to first release Name Tag to attendees of a conference for the blind, which the company did not do last year, before making it available to the general public.

Meta’s internal memo said the political tumult in the United States was good timing for the feature’s release.

“We will launch during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns,” according to the document from Meta’s Reality Labs, which works on hardware including smart glasses.

Facial recognition technology has long raised civil liberty and privacy concerns for its potential use by governments to monitor citizens and suppress dissent, by corporations to track unwitting customers or by creeps at bars. Some cities and states have restricted or banned use of the technology by the police over concerns about its accuracy. Democratic lawmakers recently asked Immigration and Customs Enforcement to stop using facial recognition technology on American streets.

“Face recognition technology on the streets of America poses a uniquely dire threat to the practical anonymity we all rely on,” said Nathan Freed Wessler of the American Civil Liberties Union. “This technology is ripe for abuse.”"

...

"Meta has a history of expensive privacy missteps. In recent years, the company paid $2 billion to settle lawsuits in Illinois and Texas that accused it of collecting the facial data of users without their permission for a since-shuttered facial recognition system on Facebook that let users tag their friends in photos more easily. In 2019, Facebook paid $5 billion to the Federal Trade Commission to settle a lawsuit that accused it of violating user privacy, including with its facial recognition software.

As part of the F.T.C. settlement, Meta agreed to review every new or modified product for potential risks to the privacy of the company’s users. In January 2025, Meta relaxed that process for reviewing privacy risks, according to an internal post viewed by The Times. The company’s privacy teams have less influence over product releases, and there are new limits on how long the risk review process takes.

Around that time, employees who worked on risk review questioned whether Meta would still be in compliance with its F.T.C. settlement under the changes. Andie Millan, a director of risk review in Reality Labs, told them that she believed the changes would “push the bounds” of Meta’s agreement with the F.T.C., according to a recording of an internal meeting obtained by The Times.

“Mark wants to push on it a little bit,” Ms. Millan said, referring to Mr. Zuckerberg."]]></description>
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<item rdf:about="https://www.newcartographies.com/p/the-user-generated-content-ruse">
    <title>The &quot;User-Generated Content&quot; Ruse - by Nicholas Carr</title>
    <dc:date>2026-01-29T21:03:45+00:00</dc:date>
    <link>https://www.newcartographies.com/p/the-user-generated-content-ruse</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The feed is the content."

...

"Big social media companies are facing hundreds of personal-injury lawsuits claiming that their platforms have harmed people, particularly kids. Lawyers for the plaintiffs, which include individuals, states, and school districts, are modeling the suits on the successful litigation against cigarette companies at the end of the last century. Should the social media companies lose the suits, the first of which began this week in Los Angeles, they would face not just massive payouts but also the prospect of extensive new regulatory controls on their businesses, just as tobacco companies did.

The internet giants have armies of lawyers, and they’re spending millions to block the suits. They claim, as they always have in the past, that they’re shielded from such litigation by the 1996 Communications Decency Act. As the Wall Street Journal writes, in an editorial sympathetic to the companies, “The first problem with these cases is that Section 230 of the 1996 Communications Decency Act says internet platforms can’t be held liable for user-generated content.”1 But that old argument no longer holds water. The content produced by social media companies today is anything but “user-generated.” To think otherwise is to misunderstand how social media operates —and to misinterpret the scope of Section 230.

In 1996, when Congress passed the Communications Decency Act,2 the big internet companies were internet service providers, or ISPs. Their role was limited to providing customers with access to the net, through, usually, dial-up connections over telephone lines. The ISPs acted as common carriers, their role limited to the transmission of information that was created by others — a role similar to that of traditional telephone companies or even the post office. Just as it would have been unfair to hold a mailman liable for the content of the letters he delivered to people’s mailboxes, so it would have been unfair to hold ISPs liable for the content of the emails and web pages they delivered to people’s computers. Section 230 provides internet carriers with a safe harbor from litigation so long as they restrict themselves to transporting data and do not act as “publisher or speaker” of the content they deliver:

<blockquote>No provider or user of an interactive computer service shall be treated as the publisher or speaker of any information provided by another information content provider.</blockquote>

Back in the early days of social media, it could be argued that Section 230 still applied. When Facebook started up in 2004, for instance, it provided its users with templates for inputting and organizing personal profiles and messages, but its main role was to connect people through an online network so they could share the content they created. The users were the speakers and the publishers of the content. Facebook was the carrier of the content.

That all changed in 2006 when Facebook introduced its News Feed. The users no longer controlled what they saw when they logged on to the network; they now saw a “feed” of information that was controlled by the algorithms Facebook wrote. The company was no longer just a carrier of content. It had taken on an explicitly editorial role. Like the editors at newspapers or the producers at TV networks, it selected and arranged the information that its users saw. The users had become an audience for Facebook’s production.

The story of social media ever since has been a story of the refinement of feeds as a media product aimed at capturing and holding an audience. The platforms have invested billions of dollars in designing those feeds—what they contain, how they look, how they work—to make them as “engaging” as possible. To argue that the companies are still in the business of transmitting “user-generated content” is absurd. Saying that a social-media feed is the product of users is like saying that a hot dog is the product of cows and pigs.

The companies are not common carriers anymore; they’re media businesses. Yes, users still contribute posts and comments—though even those, in today’s era of influencers, creators, and AI, are often subsidized and actively shaped by the companies—but the essential content of social media is now the feeds produced by the platforms, not the individual messages posted by users. Go to Instagram and scroll through your feed. It’s obvious that what you’re experiencing is not discrete bits of user-generated content. It’s an elaborate, finely tuned media production manufactured by Instagram for an audience of one: you. The same goes for YouTube, X, TikTok, Facebook, Snapchat, Substack Notes, and, with a few exceptions, all the rest.

The feed is the content, and the social media company is its publisher. Period.

The question of whether social media companies should be held liable for harming people is a legally complex one, which would best be answered through courts of law. And that’s what should happen. Let the plaintiffs make their case, and let the defendants defend themselves. Section 230’s safe harbor doesn’t apply. Social media companies are, like other media companies, in the content-production business, and they’re responsible for their programming."

[via:

https://www.robinsloan.com/lab/feed-content/

who adds:

"I totally agree.

The capabilities of “mere conduit” digital infrastructure remain practical and useful; versions of this include, e.g., domain registrars and compute providers. Snag a domain on Gandi, spin up a worker on Cloudflare, and nobody will ever know about it unless you take some other action, under your own steam, to circulate what you’d made.

As Nick says, the big platforms are totally different: way beyond infrastructure.

Like I wrote in my most recent newsletter [https://www.robinsloan.com/newsletters/fogbound/ ]:

<blockquote>It’s only with abstraction that the trouble begins; only when connections become impersonal and automatic; when the owners and operators of internet systems reject the responsibility of standing behind the material they transmit and, especially, promote.</blockquote>"]]]></description>
<dc:subject>nicholascarr socialmedia content publishing 2026 responsibility algorithms internet web online section230 law legal facebook instagram youtube twitter tiktok snapchat substack feeds</dc:subject>
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<item rdf:about="https://om.co/2026/01/21/velocity-is-the-new-authority-heres-why/">
    <title>Velocity Is the New Authority. Here’s Why – On my Om</title>
    <dc:date>2026-01-22T05:22:32+00:00</dc:date>
    <link>https://om.co/2026/01/21/velocity-is-the-new-authority-heres-why/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Why does everyone feel overwhelmed by information? Why does it feel impossible to trust what passes through our streams? We tend to blame individual publications, specific platforms, or bad actors. The real answer has less to do with any single media entity and more with structural changes in the information ecosystem.

I started my “information” life typing copy on an ill-tempered Remington. As a teenage reporter, I saw newspapers being typeset, one letter at a time. It was a messy, slow, and laborious process. So I don’t carry romantic notions about the old days. I’ve been quick to embrace any technology that, in Stephen Covey’s words, helps me keep “the main thing the main thing.” The main thing is telling a thoroughly reported, well-written story.

The early 1990s Internet, followed by blogging at the turn of the century, and social media a decade later all helped me do that main thing. In the mid-2000s I embraced Dave Winer’s mantra of “sources going direct.” As far back as 2009, I outlined the coming changes in my essays “How Internet Content Distribution and Discovery Are Changing” and “Amplification and the Changing Role of Media.”

For the past decade and a half, the whole information ecosystem has become much larger, faster and noiser. It is hardly surprising that nothing works. And we feel a collective sense of overwhelming disappointment. 

So, why does nothing work?

Authority used to be the organizing principle of information, and thus the media. You earned attention by being right, by being first in discovery, or by being big enough to be the default. That world is gone. The new and current organizing principle of information is velocity.

What matters now is how fast something moves through the network: how quickly it is clicked, shared, quoted, replied to, remixed, and replaced. In a system tuned for speed, authority is ornamental. The network rewards motion first and judgment later, if ever. Perhaps that’s why you feel you can’t discern between truths, half-truths, and lies.

With so much coming at us all the time, it is difficult to give any single story or news event much weight. More content means already fragmented attention fractures even further. 

Greenland, Iran, Venezuela, Epstein Files, Dodgers. On and on.

Networks have always shaped how societies are organized. Roman roads didn’t just make travel easier; they mapped the reach of the state and the limits of power. Shipping routes determined where colonial empires flourished and where they faded. In the Victorian age, the railways didn’t just shorten journeys; they rearranged British society. 

They created commuting and leisure, turned market towns into suburbs, standardized national time, and collapsed the meaning of distance. They also reordered authority: timetables mattered as much as parliaments. What looks like cultural choice is often the echo of infrastructure. Today’s mobile, cloud-linked world is another Victorian moment. Networks compress time and space, then quietly train us to live at their speed.

That’s why we get all our information as memes. The meme has become the metastory, the layer where meaning is carried. You don’t need to read the thing; you just need the gist, compressed and passed along in a sentence, an image, or a joke. It has taken the role of the headline. The machine accelerates this dynamic. It demands constant material; stop feeding it and the whole structure shakes. The point of the internet now is mostly to hook attention and push it toward commerce, to keep the engine running. Anyone can get their cut.

Velocity has taken over. 

Algorithms on YouTube, Facebook, TikTok, Instagram, and Twitter do not optimize for truth or depth. They optimize for motion. A piece that moves fast is considered “good.” A piece that hesitates disappears. There are almost no second chances online because the stream does not look back. People are not failing the platforms. People are behaving exactly as the platforms reward. We might think we are better, but we have the same rat-reward brain. 

We built machines that prize acceleration and then act puzzled that everything feels rushed and slightly manic. The networks of the past were slower and at a scale that was adaptable. I wrote about this years ago, and nothing since has disproved it. So when the author of “beliefs outrun facts” says nothing works, now you know why.

The fundamental network-level changes should give you a good idea of why we have a growing ambivalent relationship toward media as an organized information entity. I will get into technology media from startup perspective in a separate piece. For now, I will stick to the broader media ecosystem.

Let’s use YouTube technology reviews as a case study, because they are universally understandable. Take the launch of a new phone: when the embargo lifts, dozens of polished video reviews appear on YouTube. They run about 20 minutes, share similar thumbnails, and use the same mood lighting. The reviewers had access to the phones before everyone else, so they had time to prepare their reviews.

In the old days, before the current phase of content abundance, folks like Walt Mossberg, Ed Baig, David Pogue, and Steven Levy were often the first to get Apple products for review. Sure, these folks had big platforms, but that head startgave them a lot of clout, which meant many non-Apple companies offered them early access to their products. I never felt cheated or misled by their reviews, though I did notice what they omitted after using the product for a few months.

These days, things are markedly different. For YouTubers, access is the currency of survival. Access, of course, means suggested talking points. Again, nothing new. What’s different is that every reviewer knows that if they paint outside the lines, they’ll lose access. If you don’t have the review out when the embargo lifts, it doesn’t matter if you have a better review; no one is going to notice.

The system rewards whoever speaks first, not whoever lives with it long enough to understand it. The “review” at launch outperforms the review written two months later by orders of magnitude. The second, longer, more in-depth, more honest review might as well not exist. It’s not that people are less honest by nature. It’s that the structure pays a premium for compliance and levies a tax on independence. The result is a soft capture where creators don’t have to be told what to say. The incentives do the talking.

We built systems that reward acceleration, then act surprised when everything feels rushed, shallow, and slightly manic. People do what the network rewards. Writers write for the feed. Photographers shoot for the scroll. Newsrooms frame stories as conflict because conflict travels faster than nuance. Even our emotional lives adapt to latency and refresh cycles. The design of the network becomes the choreography of daily life.

In older networks, the constraints were physical. The number of train lines limited where cities could grow. The number of printing presses limited how many voices could speak. In our case, the constraint is temporal: how fast something can be produced, clicked, shared, and replaced. When velocity becomes the scarcest resource, everything orients around it. This is why it’s wrong to think of “the algorithm” as some quirky technical layer that can be toggled on and off or worked around. The algorithm is the culture. It decides what gets amplified, who gets to make a living, and what counts as “success.”

Once velocity is the prize, quality becomes risky. Thoughtfulness takes time. Reporting takes time. Living with a product or an idea takes time. Yet the window for relevance keeps shrinking, and the penalty for lateness is erasure. We get a culture optimized for first takes, not best takes. The network doesn’t ask if something is correct or durable, only if it moves. If it moves, the system will find a way to monetize it.

The algorithm doesn’t care whether something is true; it cares whether it moves. Day-one content becomes advertising wearing the mask of criticism.

All of this folds back into a larger point. When attention is fragmented and speed becomes the dominant value, media rearranges itself around that reality. Not because anyone wakes up wanting to mislead people, but because the context makes some paths survivable and others impossible.

The YouTube algorithm is the real enforcer because it rewards velocity. Get into the algorithmic slip stream and you get the numbers and make money. So it is no surprise that most day-one reviews are, well, anything but. This goes back to my original premise that when velocity becomes the defining metric, authority is displaced.

You don’t need to be right; you need to be first in the feed. Generalize this beyond YouTube tech reviews and you see the same pattern everywhere. I’m flabbergasted by how much good journalism goes unnoticed every day. We didn’t just put journalism, entertainment, politics, and private lives on networks. We let the networks rewrite what those things are forand how they work.

None of what I am saying is new. Decades ago the media sage Marshall McLuhan summed it up in his timeless phrase, “The medium is the message.” The medium, the technology or channel of communication, influences society and individuals more profoundly than the content, altering our senses and habits and, in turn, our perception, interaction, and culture. The only difference is that network is like a hydra, and data is the fuel that adds velocity, the new metric of perceived reality.

The cost of all this isn’t abstract. It’s the review that took three months, and no one will read it. It’s the investigation that requires patience. It’s the work of understanding before passing judgment. All of it still exists, still gets made. It just doesn’t travel. In a system where only what travels matters, we’ve made expertise indistinguishable from noise.

The cost of all this isn’t abstract. It’s the review that took three months but no one will read. It’s the investigation that required patience. It’s the work of understanding something before declaring judgment. All of it still exists, still gets made. It just doesn’t travel. And in a system where only what travels matters, we’ve made expertise indistinguishable from noise.

In the age of AI, will any of this matter when our idea of information will be entirely different?"]]></description>
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    <title>Everything Was Already AI - YouTube</title>
    <dc:date>2026-01-09T19:34:30+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=Km2bn0HvUwg</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Feedback welcome, hope you enjoy this video which was a lot of fun to make (albeit late)

References (in rough order of appearance)

How to Make Realistic Predictions About AI, Tantham
https://curveshift.net/p/how-to-make-realistic-predictions

Silicon Valley Insider EXPOSES Cult-Like AI Companies | Aaron Bastani Meets Karen Hao 
https://www.youtube.com/watch?v=8enXRDlWguU

‘Large AI models are cultural and social technologies’, Farrell et al.
https://www.science.org/doi/10.1126/science.adt9819

Artificial Intelligences, Herbert Simon

Debunking Economics, Keen 
https://en.wikipedia.org/wiki/Debunking_Economics

Scientists Just Discovered Why All Pop Music Sounds Exactly the Same
https://www.mic.com/articles/107896/scientists-finally-prove-why-pop-music-all-sounds-the-same

The Dorito Effect, Shatzker
https://www.simonandschuster.com/books/The-Dorito-Effect/Mark-Schatzker/9781476724232

How Corporations Hijacked Anti-AI Backlash 
https://www.youtube.com/watch?v=lRq0pESKJgg

The Stock Market is a Conventional Wisdom Processor: Why Trump’s Tariffs Crashed the Stock Market While the Trump Musk Payments Crisis Hasn’t (Yet), Tankus
https://www.crisesnotes.com/content/files/2025/04/The-Stock-Market-is-a-Conventional-Wisdom-Processor-Why-Trump-s-Tariffs-Crashed-the-Stock-Market-While-the-Trump-Musk-Payments-Crisis-Hasn-t--Yet-.pdf

Elon Musk’s Billionaire Games - Between the Scenes | The Daily Show 
https://www.youtube.com/watch?v=Gqlbn2nPO-A

The Job Market Is Hell: Young people are using ChatGPT to write their applications; HR is using AI to read them; no one is getting hired. By Annie Lowrey
https://www.theatlantic.com/ideas/archive/2025/09/job-market-hell/684133/

What's Wrong with Capitalism (Part 1) | ContraPoints 
https://www.youtube.com/watch?v=gJW4-cOZt8A

Disney is Perfectly Happy With Their Catastrophic Downfall
https://www.youtube.com/watch?v=GW2Zr8Q6Xqw  

Mr. Plinkett's What Happened To Star Wars?
https://www.youtube.com/watch?v=0xeMak4RqJA

AI Slop Is Destroying The Internet
https://www.youtube.com/watch?v=_zfN9wnPvU0

Artificial Intelligence and the Digital Economy - with Dr Stuart Mills
https://www.youtube.com/watch?v=9E6p3J9dko8

An Existing, Ecologically-Successful Genus Of Collectively Intelligent Artificial Creatures, Kuipers
https://arxiv.org/abs/1204.4116
https://web.eecs.umich.edu/~kuipers/papers/Kuipers-ci-12.pdf

AI Integration Is the New Moat, Tim O’Reilly
https://www.oreilly.com/radar/integration-is-the-new-moat/

Dirty Little Marketing Secrets That Always Work - Rory Sutherland (4K)
https://www.youtube.com/watch?v=qvpw4_O25eU

The Time for Cybernetics Has Come - with Daniel Davies
https://www.youtube.com/watch?v=y3HpdNGvJDc

notes on the industrialisation of decision making, Davies
https://backofmind.substack.com/p/notes-on-the-industrialisation-of

the only message the channel can carry is a scream, Davies
https://backofmind.substack.com/p/the-only-message-the-channel-can

The AI Circular Economy, Blakeley
https://graceblakeley.substack.com/p/the-ai-circular-economy

The Case Against Generative AI, Zitron
https://www.wheresyoured.at/the-case-against-generative-ai/

The Map is Eating the Territory: The Political Economy of AI, Farrell
https://www.programmablemutter.com/p/the-political-economy-of-ai

the ending of every 7 hour video essay
https://www.youtube.com/watch?v=d8reiauyQCM 

Further reading

AI: What Could Go Wrong? with Geoffrey Hinton - The Weekly Show with Jon Stewart | Podcast on Spotify
https://open.spotify.com/episode/4pWuwQq8M8Gzf9F9U0AYZW

Transformers, the tech behind LLMs | Deep Learning Chapter 5 
https://www.youtube.com/watch?v=wjZofJX0v4M

You're Being Lied To About Private Equity | Truth Complex 
https://www.youtube.com/watch?v=6pzLhWCxH_g 

AI As a Normal Technology, Arvind Narayanan & Sayash Kapoor
https://knightcolumbia.org/content/ai-as-normal-technology "]]></description>
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    <title>The New Surveillance State Is You | WIRED</title>
    <dc:date>2026-01-04T07:04:10+00:00</dc:date>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["Privacy may be dead, but civilians are turning conventional wisdom on its head by surveilling the cops as much as the cops surveil them."]]></description>
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</item>
<item rdf:about="https://www.joanwestenberg.com/the-case-for-blogging-in-the-ruins/">
    <title>The Case for Blogging in the Ruins</title>
    <dc:date>2026-01-02T23:15:04+00:00</dc:date>
    <link>https://www.joanwestenberg.com/the-case-for-blogging-in-the-ruins/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[[via:
https://www.manton.org/2026/01/02/quotes-and-notes-on-the.html ]]]></description>
<dc:subject>joanwestenberg 2026 blogs blogging writing howwewrite rss thinking howwethink reading socialmedia web internet discovery online platforms friction publishing attention facebook twitter montaigne newsletters diderot algorithms micheldemontaigne virginiawoolf denisdiderot</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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</item>
<item rdf:about="https://www.thenerdreich.com/the-cult-of-venture-capital-wants-your-future/">
    <title>The Cult of Venture Capital Wants Your Future</title>
    <dc:date>2026-01-02T22:59:11+00:00</dc:date>
    <link>https://www.thenerdreich.com/the-cult-of-venture-capital-wants-your-future/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["“The rational fear of those who dislike economic inequality is that the rich will convert their economic power into political power: that they’ll tilt elections, or pay bribes for pardons, or buy up the news media to promote their views. I used to be able to claim that tech billionaires didn’t actually do this—that they just wanted to refine their gadgets. But unfortunately in the current administration we’ve seen all three.”

Paul Graham, a famed tech investor who co-founded the Y Combinator startup accelerator, posted these words today on X. It’s a stunning admission. But not even Silicon Valley can ignore the political corruption and radicalization rising in its midst.

In today’s episode of the Nerd Reich podcast, Dr. Olivier Jutel and I discuss this very subject: how the cult of Silicon venture capital has become an existential threat to both democracy and humanity.

We explore how VCs became the “de facto state planners” of American capitalism, why they’re now desperately betting on government bailouts to save their failed investments, and how their Network State ideology aims to extract maximum value from our country before exiting to their own private sovereignties.

Spoiler: they don’t plan for the rest of us to come along for the ride."

[direct link to video:

"Inside the Tech Cult: How Venture Capital Plans to Exit Democracy"
https://www.youtube.com/watch?v=u-fThWjJP8A ]]]></description>
<dc:subject>gilduran nerdreich 2026 olivierjutel siliconvalley paulgraham democracy humanity billionaires oligarchy tescreal transhumanism extropianism singularitarianism singularity cosmism rationalism effectivealtruism longtermism networkstate corruption politics policy deregulation radicalization maga donaldtrump trumpism peterthiel jdvance balajisrinivasan inequality economics greed economy eugenics ideology sovereignty govenment governance us vc venturecapital marcandreessen drapergaitheranderson california californianideology libertarianism joebiden regulation militaryindustrialcomplex catherinebracy nfts crypto cryptocurrencies airbnb doordash instacart uber wealth trust public yevgenymorozov nvidia finance imperialism stablecoins sec barackobama greatrecession globalfinancialcrisis web3 chrisdixon entrepreneurship entrepreneurialism stevehilton chrislarsen ripple rightwing farright vr ai artificialintelligence monarchism google facebook meta ethereum blockchain roblox speculation gambling graybrechin sanfrancisco</dc:subject>
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<dc:identifier>https://pinboard.in/u:robertogreco/b:96caabbbe7e1/</dc:identifier>
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<item rdf:about="https://www.youtube.com/watch?v=kconAXZgsxg">
    <title>REPLAY: Signal's Meredith Whittaker on Backdoors and AI - YouTube</title>
    <dc:date>2026-01-01T01:36:49+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=kconAXZgsxg</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["This is a special interview episode with Meredith Whittaker, the president of the Signal Foundation. I'm sure you all know, and maybe even use, the Signal messaging app. Here we sat down with Whittaker to talk all about the state of Signal today, the threat of AI to end-to-end encryption, what backdoors actually look like, and much more. This is a wide-ranging discussion where one of the few journalists who has revealed new details about backdoors (Joseph) gets to speak to one of the most important people in the world of encryption (Whittaker). Definitely take a listen. Paid subscribers got access to this episode early by the way.

- Dark Wire: The Incredible True Story of the Largest Sting Operation Ever: https://www.hachettebookgroup.com/tit...
- Signal page on government data requests: https://signal.org/bigbrother/
- Microsoft Will Switch Off Recall by Default After Security Backlash: https://www.wired.com/story/microsoft-recall-off-default-security-concerns/
- Telegram CEO Pavel Durov interview:  https://www.youtube.com/watch?v=1Ut6RouSs0w "]]></description>
<dc:subject>meredithwhittaker signal encryption surveillance 2025 facebook instagram messaging apple google backdoors privacy security policy power ronaldreagan billclinton police policing lawenforcement microsoft freedom liberty josephcox</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:cb8bc596e87e/</dc:identifier>
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</item>
<item rdf:about="https://2ndbreakfast.audreywatters.com/days-gone-by/">
    <title>Days Gone By</title>
    <dc:date>2025-12-31T21:38:39+00:00</dc:date>
    <link>https://2ndbreakfast.audreywatters.com/days-gone-by/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["What a terrible year. Good riddance to today being the very last of it.

Way back when I used to publish things on Hack Education, I was always proud of my end-of-year stories -- the series of articles I posted annually that tried to chronicle all the incredibly awfulness that ed-tech had wrought in the prior months [https://hackeducation.com/2019/12/31/what-a-shitshow ]. It was important, I believed, to remember and reflect; capitalism and technology work hand-in-hand to encourage us to forget, to move on. I toyed with the idea of doing the same thing here, on Second Breakfast; but new site, new name, new distribution mechanism... it seems best to leave some things behind.

Or more accurately, I’m not sure I have the stamina right now to revisit the horrors of 2025 in detail, the kind of detail that I’d carefully track in those Hack Education essays. It has, since the very first days of January -- Trump’s inauguration, surrounded and applauded by Silicon Valley’s leaders -- been dangerous, disastrous, deadly, inside and outside of schools.

And I’ve received one too many email newsletters in the past week or so in which someone boasted that they’d had ChatGPT identify the important themes and trends for the year for them -- a good reminder that these sorts of seasonal prompts for content production (lists after lists after lists after lists) have never really been about inquiry or criticism, but more about the churning out of data for someone else’s algorithmic machinery. It’s insulting. It’s undignified. But it’s the future that some men sure seem to yearn for.

That said, I do think I'd be remiss to not make a few observations here on December 31, particularly before the usual suspects launch into the new year peddling the very same bullshit they've tried to have us choke down with a smile for decades now. (Indeed, 2026 marks the 100th anniversary of Sidney Pressey's landmark article that launched the whole teaching machine industry [https://mitpress.mit.edu/9780262546065/teaching-machines/ ]: "A simple apparatus which gives tests and scores-- and teaches." I'll have more to say about that anniversary in the coming weeks.)

Artificial intelligence has, no doubt, sucked all the proverbial oxygen out of the proverbial room in education and education technology. It is not just the top of the year-end list; it is the list. (And as I noted above, too many people let the technology “generate” the list for them.) “AI” seemed to be almost all that anyone could talk about, certainly all that many hope to sell. Of course, this is why the ed-tech amnesia does matter: the myriad of ed-tech products with some sort of algorithmic teaching and testing and bureaucratic classroom-management procedures -- built and sold that way for decades now -- have all rebranded as "AI," and "AI" has been inserted into almost every single piece of software, whether you like it or not.

And you shouldn't. It's bad fucking news. It's bad for thinking. It's bad for learning. It's bad for teaching. It's bad for research. It's bad for knowledge. It's bad for justice. It’s bad for democracy. It's bad for humanity. It's bad for the planet. Everyone knows it [https://blog.ayjay.org/everyone-knows/ ], as Alan Jacobs recently wrote. But plenty of folks are out there hustling hustling hustling. They’re willing to ignore the bad, in no small part because that's what their privilege affords them.

<blockquote>It is difficult to get a man to understand something, when his salary depends on his not understanding it – Upton Sinclair</blockquote>

As the Department of Justice slowly releases more documents relating to Jeffrey Epstein, perhaps it's worth reminding people of this convicted sex offender's connection not just to artificial intelligence, but to those working in AI and ed-tech specifically. Bill Gates. Marvin Minsky. Roger Schank. Joi Ito. Whether or not these men -- or any of the men listed in Epstein's "little black book" -- were engaged in child sex trafficking is beside the point: they were willing to ignore its occurrence, willing to continue their own access to money and power and influence at the expense of the health and safety of girls.

And so it continues: the willingness of those supporting some "AI" future to overlook the real harms, the substantive exploitation, the actual violence in order to maintain their own access to money and power and influence.

It's par for the course, I suppose. Because "the big story" in "AI" doesn't necessarily involve this new generative "AI" hoopla, but rather an older, even more dangerous version of / vision for the technology: prediction, facial recognition, geolocation, surveillance, policing. "The big story" in education and "AI" isn't necessarily students using the technology to cheat themselves of learning or teachers using the technology to automate their profession away; but rather the usage of "AI" by ICE -- with the assistance of every major technology company, not just Palantir [https://www.nytimes.com/2025/12/03/business/dealbook/palantir-alex-karp-ice-trump.html ]-- to identify [https://www.404media.co/cbp-quietly-launches-face-scanning-app-for-local-cops-to-do-immigration-enforcement/ ], mis-identify [https://www.404media.co/how-a-us-citizen-was-scanned-with-ices-facial-recognition-tech/ ], harass, arrest, imprison, and deport people. Hundreds of thousands of people. People in our communities. People in and around our schools. Our neighbors. Our co-workers. Our students. Our teachers. Families. Parents. Children.

This is the story of what "AI" means in education – or part of it, at least. “AI” is central to the move towards techno-authoritarianism [https://www.authoritarian-stack.info/ ], a move that of course will target democratic institutions – institutions tasks with building knowledge and building human capacity – first.

"AI" is, after all, an endeavor undeniably intertwined with eugenics [https://bookshop.org/p/books/disabling-intelligences-legacies-of-eugenics-and-how-we-are-wrong-about-ai-rua-m-williams/b5e49f6b89f846a8?ean=9783032026644&next=t&next=t&affiliate=93920 ]. It is fundamentally a reactionary effort – despite all the rhetoric about it being future-facing – an effort inseparable from the anti-diversity initiatives undertaken throughout governments and corporations this year. "AI" is a backlash to civil rights movements, a backlash to the advancements of the past few decades that shifted (ever so slightly) the power away from white men.

You can see this in the onslaught of "AI" hype, almost entirely vocalized by men – the Sams and the Marks and the Peters and the Jasons so deeply aggrieved at having to share the stage, the mic, the platform, the workplace, the classroom, the world with women, with Black people, with queer folk, with people with disabilities, with indigenous people, with refugees, with non-English speakers, with Muslims, with anyone from the majority world. And this isn't simply a matter of representation in their datafied corpus – although that still matters. "AI" means erasure, epistemic erasure – all writing, all images, all sounds, all expression squeezed towards the middle, the mundane, the Man. AI is a silencing; "AI" is genocidal [https://www.theguardian.com/world/2025/dec/30/israeli-military-big-tech ]. Its acceptance, begrudging or willful, means the normalization of this violence – of its harms to ourselves and to one another and to the environment; of its demands for efficiency and optimization; of its sing-song allure of sycophantic mediocrity at the expense of creativity, spontaneity, diversity, life.

But “let’s be clear: AI" is not the only technology being wielded right now to control bodies, to control minds, to control labor, to control knowledge. And here's where the incessant focus on "AI" -- whether it be promotion or critique -- easily serves to further impoverish our understanding of what's happening in education. Among the other important stories of 2025: the banning of books [https://thelibrariansfilm.com/ ]; the banning of cellphones in the classroom [https://www.afterbabel.com/ ]; age-restrictions on social media [https://www.pbs.org/newshour/world/australia-to-enforce-social-media-age-limit-of-16-with-fines-up-to-33-million ]; the re-emergence of the “standards” (and standardized testing) cadre [https://www.theatlantic.com/podcasts/archive/2025/10/the-david-frum-show-margaret-spellings-school-testing/684489/ ]; the digital surveillance and silencing (and firing) of professors [https://www.theguardian.com/us-news/2025/oct/10/academics-professors-charlie-kirk ] for what’s on the syllabus, what’s discussed in class -- all efforts, to one degree or another, to limit access to information. To certain kinds of information, of course. To acquiesce to “AI” is to surrender to what Neil Postman so presciently called Technopoly [https://bookshop.org/p/books/technopoly-the-surrender-of-culture-to-technology-neil-postman/411fadc13061d77a?ean=9780679745402&next=t&next=t&affiliate=93920 ] – the monopolistic control of knowledge and information and media, the control of our very understanding of ourselves and the world around us, in the hands of a small handful of fascistic tech billionaires.

And look, I’ll be the first to suggest that we’d all be well-served to step away from our digital devices, to spend much much much less time on the Internet. Put your phone away while you eat and while you walk down the street, for crying out loud. “Touch grass.” Read a book. Read a book to your children. Please.

But I’m wary of many of the efforts to curb children’s access to technology because these initiatives are, at their heart, often not about the tech (and certainly not about structural redress) but about curbing children’s access to knowledge. These are efforts at stifling children’s self-discovery – particularly around questions of gender identity – and their discovery of like-minded community.

***

<blockquote>"Narrative power, maybe all power, was never about flaunting the rules, yelling at a cop, making trouble – it was about knowing that, for a privileged class, there existed a hard ceiling on the consequences.

    And on the heels of that realization, a converse one: I began to suspect that the principles holding up this place might not withstand as much as I first thought. That the entire edifice of equality under law and process, of fair treatment, could just as easily be set aside to reward those who belong as to punish those who don't. A hard ceiling for some, no floor for others."

    – Omar El Akkad, One Day Everyone Will Have Always Been Against This [https://bookshop.org/p/books/one-day-everyone-will-have-always-been-against-this-omar-el-akkad/4191784c40750b09?ean=9780593804148&next=t&next=t&affiliate=93920 ]</blockquote>

***

There’s a refrain you’ll often hear, that “the kids are alright.” I get it. It’s comforting to think that, despite all the horrors that surround them – environmental destruction, genocide, school shootings, immigration raids, anti-trans policies, economic inequality, homelessness, mental health crises, job insecurity (hell, job non-existence [https://nymag.com/intelligencer/article/ai-replacing-entry-level-jobs-gen-z-careers.html ], some say) – that younger folks are good and strong and resilient. And maybe some are. Maybe some can put on a good face. They can still go through the motions. They over-schedule; they over-achieve. What choice is there, really? Right?

But what if they aren’t okay? (I mean, crikey, what if none of us grownups really are either? And I’m looking right at those of you lulled by the siren call of “AI," driving this ship straight into the rocks. But I'm looking at, I'm looking to all of us.)

A day doesn’t go by where I don’t think about my son – about my own losses, my own grief in the face of this abysmal world we have built for our children. And since this summer, barely a day has gone by when I haven’t thought about Adam Raine, the 16-year-old who died by suicide after lengthy discussions -- encouragement, even -- from ChatGPT [https://www.nytimes.com/2025/08/26/technology/chatgpt-openai-suicide.html ]. And for the past few weeks now I think about the Reiner family too, a very famous stand-in, I suppose, for all the families who have chronically mentally ill children – violent or not, adult or not, in or not in active addiction. I’d say “you have no idea what it’s like” but so many of us do. More than we care to admit, more than we care to talk about, and obviously – fucking hell – more than we care to address.

“The purpose of a system is what it does,” the cybernetician Stafford Beer famously said. It is clear to me what the purpose of “AI,” what the purpose of ed-tech is. 2025 made it oh so clear. Sure, people still like to talk about innovation and enhancement. They wave their hands around excitedly – some "think bigger!" gesture, extolling some imaginary shiny future of cognitive speed and efficiency. But the purpose of these systems is what they do. And look what they have done.

Everyone knows. Everyone sees it. Some of us try to convince ourselves otherwise. But it's right there. The purpose of the system is extraction. The purpose is obedience. The purpose is compliance. The purpose is death – death of agency and death of dignity and death of joy.

We have much work to do to make our institutions – educational and otherwise – into something else. We cannot do it chained to the technologies that are designed to stop us from ever even thinking about becoming free.

But we can do it.

***

Today’s bird is the starling, which has been called one of the worst invasive species [https://www.invasivespeciesinfo.gov/terrestrial/vertebrates/european-starling ] in the world, brought to the US from Europe in the late nineteenth century, according to one story at least, by Eugene Schieffelin [https://en.wikipedia.org/wiki/Eugene_Schieffelin ], an ornithologist who thought it'd be neat to introduce into the US – via a release in Central Park in the case of the starling – every bird mentioned in Shakespeare's works. (Good grief, the hell men will unleash just to get you to pay attention to western literature.)

I see starlings almost every day in the park – during warmer months at least. Close up, their plumage is striking: an iridescent purple and green. Their beak is yellow. Their calls are comprised of squeaks and clicks, but they're known to mimic other birds. (Hotspur tries to teach a starling to say "Mortimer" in Henry IV, Part 1.)

Starlings are aggressive birds, attacking and displacing other species and, according to the USDA at least [https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1023&context=nwrcinvasive ], causing hundreds of millions of dollars of damage to agricultural crops every year. But what happens when we mark up the world – who belongs, who belongs where – into "native" and "invader" and "alien" [https://www.allaboutbirds.org/news/essay-are-starlings-really-invasive-aliens/ ]?

Starlings are "gregarious," meaning their flocks are often very large. Very very large – roosts can be comprised of over one million birds. Their swarm-like flights are called murmurations; and these are beautiful, almost musical, magical feats of coordination.

We don't know why the birds move this way; there's so much we do not know about the beings with whom we inhabit this world (although I'm sure ChatGPT, that other shiny invasive species specious, would surely tell you that it knows.)"]]></description>
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    <title>Memories of overdevelopment</title>
    <dc:date>2025-12-23T05:52:11+00:00</dc:date>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["Rebecca Solnit and Susan Schwartzenberg’s ‘Hollow City’ at 25"

[archived:
https://archive.ph/fqYXR ]

"I love San Francisco, but sometimes I’m not sure it loves me back. I moved here from Santa Cruz almost 15 years ago to study at the San Francisco Art Institute, lured by the promise of a city that I thought cared about art and culture. 

Even in my relatively short time here (though, compared to some folks my age, positively epic), I’ve seen that city change thanks to waves of gentrification and retrenchment I couldn’t have imagined. The jazz club I worked at for years became a hip brunch spot; SFMOMA and Yerba Buena Center for the Arts cut their public film programs that were a major part of my aesthetic education. SFAI closed after more than 150 years. 

I’ve somehow managed to carve out a place for myself as an art critic and culture reporter here, but every day it seems like there’s less art and culture to engage with — and fewer readers interested in criticism. 

As 2026 begins, I’m proud to say that I’m still here, trying to remember the San Francisco I fell in love with. I feel lucky on the days when I’m able to catch a glimpse of it behind boarded up office buildings and billboards boasting AI’s ability to replace human beings. I feel less despondent when I remember that mine is only the most recent generation of San Francisco artists and writers to feel the squeeze of Big Tech.

Published in 2000, Hollow City: The Siege of San Francisco and the Crisis of American Urbanism, painted a picture of what was then a rapidly vanishing San Francisco. In it, essayist Rebecca Solnit and photographer Susan Schwartzenberg responded almost in real-time to the rapid gentrification of San Francisco during the dot-com boom of the late 1990s and the threat it posed to the city’s artistic community. 

25 years later, the issues Solnit and Schwartzenberg addressed are as relevant as ever.

The project grew out of a 1998 essay Solnit published in Harvard Design Magazine and an earlier photo project Schwartzenberg had done with the San Francisco Arts Commission on urban change. The writer and the artist joined forces to respond to the urgency of the moment, Schwartzenberg shooting new images for the book, as well as curating selections of archival images by other photographers and Solnit bringing her signature blend of activism  and elegy.

Since the book’s release, Solnit has become, in many ways, the conscience of San Francisco. Her essays on everything from gentrification to the wealth gap, her 2010 book Infinite City: A San Francisco Atlas and her 2020 memoir about her early days in the city put into words some of San Francisco’s most ineffable qualities, making her something of an institution. She should be, having lived here since 1981, seeing the city change multiple times over. “I’ve lived in 10 places called San Francisco,” Solnit recently told KQED’s Alexis Madrigal.

Schwartzenberg echoed this sentiment. “I carry an archive in my head,” she told Gazetteer SF. “I remember what happened on this or that street corner; the gallery I used to go to. I remember the row of Victorians that were here, the kids who used to play in that parking lot.”

While many of those things are gone, Schwartzenberg, a Staff Artist at the Exploratorium, has maintained a life in San Francisco.

“I started thinking of myself as an artist in the art world and realized it was important to be a little more hybrid than that,” Schwartzenberg said. “To also be a curator, to start a whole new project, to bring a sense of that to the Exploratorium. It’s important that people retain a sense of this place.”

By 2000, Solnit argues, the Internet had replaced tourism as SF’s main economic driver. The city’s’s rush to remake itself for the new population of tech workers left the creative class behind as rents skyrocketed and landlords evicted tenants without mercy. Solnit estimated that 35% of the venture capital in the country was in the Bay Area in 2000. Now, that number is closer to 50%. Rents have continued to rise, with the average 1BR listing hovering around $3,000 per month.

“All kinds of businesses started that weren’t really businesses,” Schwartzenberg said. “They seemed  bogus, but all kinds of VC flooded the city. It was a complete influx of money and business and transformation that has really changed the structure of the city.”

Among the many signs of gentrification that Solnit bemoaned in 2000 was “valet parking suddenly appearing where lowriders once cruised Mission Street.” Valet parking seems quaint compared to Waymos making airport runs or DoorDash hoping to use drones to deliver food in the Mission. At the time, though, it was a harbinger of the convenience culture that has since taken over much of our lives. 

Solnit posits that art is antagonistic to bourgeois standards. At its best, art complicates things rather than smooths them over like delivery apps and frictionless transactions. Messy and thoughtful, art confronts reality rather than hiding from it. A boisterous, thriving art scene doesn’t fit neatly into a city striving to emulate suburban comforts.

Solnit quotes then-local curator Larry Rinder predicting that by 2020, San Francisco will become “a city of presentation without creation … small- and medium-sized arts organizations will have folded unless they retool to cater to segments of the tourist community.” 

25 years later, Rinder’s prophecy has largely come true with a few unforeseen caveats. The city’s major museums are devoting their most prominent gallery spaces to courting tourists, with major exhibitions devoted to Manga (de Young) and KAWS (SFMOMA) serving as prime examples of shows that are high in attendance and low on art-historical merit.

Rinder’s prediction could not, of course, have accounted for the pandemic, which briefly shut down the city (and the world) and complicated San Francisco’s relationship to tourism. And while 2025 saw visitor numbers closer to 2019, the city still hasn’t made a full recovery. In the last three months alone, five San Francisco art galleries have closed, including Altman Siegel and Rena Bransten, as the national art market contracts.

It isn’t only a lack of tourists hurting our cultural institutions, but  the long-tail effect of the shift Solnit described in her book: the move toward corporate privatization that has only escalated in recent years. With the rise of companies like Alphabet, Meta, Salesforce, and OpenAI and the smaller companies that attach themselves like barnacles on a whale, more of the city feels hidden behind fob-access points and security protocols. There are more private clubs, members-only coworking spaces, and businesses that telegraph exclusivity over serendipity.

Despite this, artists remain present in the City, some of them making art without a means for presentation, others presenting their work at smaller, community-oriented galleries.

“The wealthy class here has an interest in art, but it’s more New York work,” Schwartzenberg told me, “or things like the Bay Bridge lights and the atrocious thing happening along the Embarcadero with Burning Man art. People with money get to say what happens. But I also think San Francisco, and the thing I love about Rebecca’s research, is that even in the early 20th  century, artists were creating their own spaces to work and developing their own galleries.”

Still other artists have day jobs in tech, finance or law –– careers that afford them a life in art –– a dynamic further complicated by the fact that tech workers have themselves been demoted to something of a middle class in the Bay Area as tech ownership accumulates net worths in the billions.

In Hollow City, Solnit draws a parallel between the gentrification of the late 90s and the urban renewal project of the 1950s that wiped out the Black-inhabited Fillmore to make way for redevelopment. Here, she includes photographs by David Johnson, the first Black student in SFAI’s photography department. 

Johnson’s photos show a vibrant community that included artists and musicians who were disappeared by greedy developers. While urban renewal targeted one neighborhood in the mid century, the gutting of San Francisco’s art community in the 2000s was citywide.

At one point in the book, Solnit extrapolates the term “delivered vacant” — often found on apartment listings — to apply to SF as a whole. “All of San Francisco is being delivered vacant to the brave new technology economy,” she writes. The rise of tech culture, Solnit said, would leave the city “a Disneyland of urbanism,” which isn’t a bad way to describe a place littered with whimsical statues of dragons, giraffes, robots, and aliens that wouldn’t be out of place in a preschool playground. 

Solnit wonders if artists can, in part, be blamed for gentrification, making areas “so attractive the affluent follow them.” Artists can’t really be blamed, but they can let themselves be taken advantage of and willfully aid the very machinations that make existing here difficult for them. While a true integration with the arts community doesn’t seem appealing to the affluent, what is appealing, at least to developers, is leveraging art to drive up real estate prices. Art-washing initiatives like Vacant to Vibrant — which places pop-ups in empty Downtown storefronts — offer artists and galleries subsidized rent and then evicts them when a higher-paying tenant comes along.

“There aren’t leftover spaces like there were in the ’70s and ’80s,” Schwartzenberg said. “Still, young people try to find places in the cracks where art can happen.”

This is an optimistic view compared to Solnit’s prediction from 2000.

“The circumstances for generating future generations of … artists and activists here look bleak,” she wrote.

In an an essay she penned for the London Review of Books last year, Solnit painted a dystopian vision of the bleak future she predicted in 2000, a city that has become a power center for right wing tech oligarchs to influence global politics while profiteering off of the data they collect through the surveillance network the Internet has become.

“I used to be proud of being from the San Francisco Bay Area,” Solnit wrote. “I thought of this place in terms of liberation and protection; we were where the environmental movement was born; we were the land of experimental poetry and anti-war marches, of Harvey Milk and gay rights, of the occupation of Alcatraz Island that galvanised a nationwide Indigenous rights movement as well as Cesar Chavez’s farmworkers’ movement in San Jose and the Black Panthers in Oakland.” Now, she writes, “we’re a global power centre” from which “a new super-elite shapes the world in increasingly disturbing ways.”

But maybe that’s what San Francisco has always wanted to become. What’s striking about all of the movements Solnit mentions here is that each one grew out of a necessary resistance to the conservative direction the City and country took at various times in the past. What San Francisco lacks today is not so much culture as counter culture. And it’s not coincidental that the ruling class would be interested in expunging that counter culture or sanitizing what little of it remains. What we need now, more than ever, is for San Francisco’s artists to take a stand."]]></description>
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    <title>2025 showed why to get off Big Tech</title>
    <dc:date>2025-12-22T05:55:24+00:00</dc:date>
    <link>https://buttondown.com/creativegood/archive/2025-showed-why-to-get-off-big-tech/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[[See also:

"Why we can't trust Apple" (2022)
https://creativegood.com/blog/22/why-we-cant-trust-apple.html ]]]></description>
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<item rdf:about="https://bayareacurrent.com/tech-billboard-decoder-the-great-tech-vibe-shift/">
    <title>Tech Billboard Decoder: The Great Tech Vibe Shift</title>
    <dc:date>2025-12-15T05:43:07+00:00</dc:date>
    <link>https://bayareacurrent.com/tech-billboard-decoder-the-great-tech-vibe-shift/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Tech companies used to portray themselves as do-gooders. But as Palantir's new billboard suggests, their commitment to domination was there all along."

...

"You have arrived at the airport at the crack of dawn. Bleary-eyed and only semi-conscious, you rush towards your gate. Suddenly you’re met with an enormous ad: PALANTIR TECHNOLOGIES. SOFTWARE THAT DOMINATES. There’s a giant abstract logo, which looks like an orb hovering ominously on top of an open book. You were about to embark upon an airplane trip but now you have found yourself on a trip of another kind. And it’s a bad one.

Such was the experience that awaited travelers at San Francisco International Airport this summer. Located in Harvey Milk Terminal 1, across the way from an outpost of Green Apple Books, this massive display ad loomed menacingly over passengers waiting in line for the lounge or walking to the Ritual Coffee. Welcome to San Francisco: we have books, coffee, and domination. 

Understanding Palantir

It’s a strange ad, but it makes more sense once you understand Palantir. Despite having a market cap of over $400 billion at time of publication— only a little less than Netflix, and twice that of Uber — Palantir isn't a household name, mainly because it isn’t consumer-facing. It was founded in 2003 by Peter Thiel, whose previous company, PayPal, had just gone public, providing him with ample startup capital. But where PayPal’s product was for consumers, Palantir's product was targeted at organizations, primarily government agencies and corporations. What the software actually does is notoriously hard to pin down — even former employees struggle to explain it concisely — but it basically involves centralizing an organization’s internal data in order to draw insights. Thiel’s original vision involved adapting PayPal’s fraud recognition system for counterterrorism purposes: “I defined the problem as needing to reduce terrorism while preserving civil liberties,” Thiel said to Forbes in 2013. 

So what exactly is Palantir dominating? In theory, they are dominating the bad guys. The name Palantir comes from the Lord of the Rings trilogy, in which a ‘palantir’ is a crystal ball used for scrying and divination made by elves. From the name alone you get a glimpse of a whole worldview: the gentle, noble, and conveniently Aryan-looking elves versus the savage orcs who threaten to upset the social order.

Palantir the company, then, is surveillance software to help the good guys protect themselves from the bad guys. At least, that’s the theory. In practice, it is murkier. In a world that is becoming increasingly unequal and militarized, where the definition of terrorism has seemingly expanded to include antifascists and immigrants, Palantir’s software ultimately emboldens a repressive right-wing regime. Their founding mission is explicitly centered on ‘defending the west’. It’s been criticized for its work with the military, with ICE, with the LAPD, and the IDF. Who, exactly, are the bad guys here?

Advertising that dominates

Let’s go back to the airport ad. What’s curious about this ad is that it says nothing about the actual technology; instead, it’s purely a flex, establishing the company as a lifestyle brand with a sharp edge. Palantir has long been associated with a particularly masculinist strain within the tech industry, one which fetishizes defense tech and espouses conservative values. The subtext: You cucks, with your boring Silicon Valley jobs. If you were real men, you’d work at Palantir. Tech workers who’ve been paying attention should get this message, as Palantir relocated its HQ from Palo Alto to Denver in 2020, citing high rents and Silicon Valley's 'woke mob.'

This branding is juvenile — an unimaginative attempt to dominate the viewer. But maybe because of that, the ad feels like a perfect symbol for our times. The tech industry has undergone a profound vibe shift in recent years. These days, it feels more sinister: more mask-off, more openly evil. The early 2010s felt playful and optimistic, but the current moment is cynical and even nihilistic. Dinky social apps to ‘make the world a better place’ aren't cool anymore. You know what's cool? Domination.

How did we get here?

Let's turn the clock back a decade. It’s December 2015, nearing the end of Obama's second term. Donald Trump is running for president but he is mostly ignored by a largely Democrat Silicon Valley establishment. It’s a different time: lighter, more effervescent. Facebook is not yet Meta and their ‘social mission’ is to 'make the world more open and connected'. Google, recently restructured as ‘Alphabet’, still has a reputation as a good employer. Money is flooding into the tech industry in the pursuit of easy profit. Startups that claim to be ‘disrupting X’ or building ‘Uber for Y’ are raising money left and right. A wifi-connected juice machine has raised $20 million and is seeking more. 

[image: "A "noogler" (new Google employee wearing a propeller hat) of yesterday gazes upon Palantir's billboard. (Art: Wendy Liu / Bay Area Current)"]

Even then, tech has its detractors. The Google bus protests are highlighting divisions between the incoming tech elite and the city’s existing residents. Questions are being raised about Theranos, the blood-testing company helmed by Stanford dropout Elizabeth Holmes, whose primary qualification may be her Steve Jobs impression. Critics are worried about potential monopolies, the industry’s lack of diversity, and the exploitative nature of the gig economy. But the critiques don’t receive much attention. Insiders easily tune them out.

Now let's fast forward through the next decade of Silicon Valley. First, prison sentences: Elizabeth Holmes gets 11 years for defrauding investors; Sam Bankman-Fried, founder of cryptocurrency exchange FTX, gets 25 for fraud and money laundering. Next, high-profile oustings: Travis Kalanick, founder of Uber, is pushed out after a slew of bad press; Adam Neumann, founder of office space giant WeWork, steps down after a disastrous attempt at going public. The juice machine company goes bankrupt, but only after raising $120 million. Google quietly removes most mentions of ‘Don’t be evil’ from their corporate messaging. And of course there is the Cambridge Analytica scandal, which ignites a broader public distrust of Facebook, later rebranded as Meta in a mostly forgotten attempt to capitalize on the metaverse.

Meanwhile, the tech job market becomes more precarious. Tech giants, coasting on their worker-friendly reputations, increasingly employ contractors who lack the benefits of full-time employees. Layoffs become commonplace, often preceded by ‘voluntary exit’ programs or hiring freezes. Perks and benefits are scaled back.

At the same time, tech workers are organizing collectively in brave and unprecedented ways. But management eventually cracks down. Google retaliates against employees involved in labor organizing, in the mass walkout, in protesting work with Israel, in criticizing bias. At smaller companies, attempts to form unions meet with aggressive responses, including mass firings.

Slowly but surely, a different labor regime is inaugurated: less carrot, more stick. It turns out firms don’t need to lavish all their employees with perks to get the job done; defeated workers can be as productive as happy ones. Management can be more mercenary when deciding which employees are worthy of the carrot. Elon Musk buys Twitter, renames it to X, and cuts 80% of its workforce, in a private-equity-style act of cleaning house which he would later repeat with DOGE. Executives all over the world watch, and ponder. The Twitter building, a powerful symbol of city-backed 2010s-era tech optimism, is abandoned in the cost-cutting frenzy, to be taken over by a company that provides AI for the trucking industry.

The culture of tech work changes, too. The early 2010s were the heyday of corporatized diversity programs, which at least offered lip service if not much in the way of actual change. Still, their mere existence spurs a reactionary backlash. The infamous James Damore incident at Google sparks a broader debate about the purpose of diversity efforts, given the so-called ‘biological differences’ between the genders. Later, the ‘MEI’ hiring philosophy proposes ‘Merit, Excellence, and Intelligence’ as a conservative counterpoint to the ’Diversity, Equity, and Inclusion’ movement, and is immediately praised by Elon Musk.

While all this is happening in tech, the broader political landscape of America is swinging to the right — with Silicon Valley not far behind. Trump becomes president, twice, with the early backing of Peter Thiel, whose companies stand to benefit enormously from the new administration. The rest of the tech industry does what it can to cozy up to power, donating to fund Trump’s new White House ballroom and angling for contracts with ICE. And despite the progressive sheen of Obama’s presidency, it ends with many of his staffers going through a revolving door toward cushy tech jobs.

The vibe shifted. Feel-good mission statements and not-quite-profitable social apps are out. Naked greed, in. The Palantir ad says the quiet part loud. The optimistic frothiness and utopian rhetoric of the long 2010s are over, having been superseded by the fetish of force and aggression. Now tech is all about making money through domination, whether in the form of military technology or through AI that menaces workers.

The macroeconomic explanation

The vibe shift has not gone unnoticed within the industry. Tech insiders ascribe the exuberance of the 2010s to something called ZIRP — zero interest rate policy — referring to the low interest rates that prevailed across the western world in the wake of the Great Recession. In other words, money used to be cheap, and much of it flooded into the tech sector despite the riskiness of the investments. But in the early 2020s, the ZIRP era came to an end. Interest rates are higher now, and investors altered their expectations — there’s less appetite for zany products with uncertain business models. Hence the vibe shift, and the Tech Bro 2.0.

This explanation has some power, but it’s not the whole story. The political dimensions of the shift are important, too. The ending of the cheap debt era coincides with a larger rightward swing in the US and globally. It aligns with a bi-partisan agreement that a new Cold War should dawn. Money being more expensive has not stopped massive amounts of cash from being poured into the black hole of AI, which is now positioned as a weapon in the arms race against China as well as a way to save the flagging US economy. Thus we end up with trillions of dollars being pumped into data centers to power this new AI boom, despite all the terrible environmental and social consequences.

The vibe may have shifted, but we shouldn’t overlook the continuities between the previous era and the current one. The tech industry was never as wholesome as it claimed to be. The crypto boom and bust, which minted new garish billionaires even as others lost their life savings, is a farcical repeat of the collapse of the dotcom bubble. Tech workers being afraid to speak out despite moral qualms about what they’re building is what CEOs have always wanted, even if they couldn’t admit it. Meanwhile, the industry’s new billionaires are using their ill-gotten gains to build compounds and commission superyachts — and we may soon see the world’s first trillionaire, in the form of Elon Musk, who first made his mark during the dotcom era. Can we "]]></description>
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<item rdf:about="https://www.theverge.com/cs/features/836456/influencers-tiktok-debt-shopaganda">
    <title>You are not immune to shopaganda | The Verge</title>
    <dc:date>2025-12-08T19:05:01+00:00</dc:date>
    <link>https://www.theverge.com/cs/features/836456/influencers-tiktok-debt-shopaganda</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Behind every influencer is an army of the influenced, many adrift in debt and mass-produced clutter. The platforms need influencers and influencers need audiences — but what the influenced need is not so simple. Behind every influencer is an army of the influenced, many adrift in debt and mass-produced clutter. The platforms need influencers and influencers need audiences — but what the influenced need is not so simple."]]></description>
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<dc:identifier>https://pinboard.in/u:robertogreco/b:b51f05a46bcd/</dc:identifier>
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    <title>DOC • To grow, we must forget… but now AI remembers everything</title>
    <dc:date>2025-12-05T07:08:07+00:00</dc:date>
    <link>https://www.doc.cc/articles/we-must-forget</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["AI’s infinite memory could endanger how we think, grow, and imagine. And we can do something about it."]]></description>
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<item rdf:about="https://www.wired.com/story/ai-normal-after-ai-plateaus/">
    <title>The Argument for Letting AI Burn It All Down | WIRED</title>
    <dc:date>2025-12-01T20:16:50+00:00</dc:date>
    <link>https://www.wired.com/story/ai-normal-after-ai-plateaus/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["When the AI bubble bursts, the nerds will do their best work."]]></description>
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<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://craigmod.com/roden/109/">
    <title>Blank Spaces, Radicalized Offlineness, Curious Protagonists — Roden Newsletter Archive</title>
    <dc:date>2025-11-29T00:18:11+00:00</dc:date>
    <link>https://craigmod.com/roden/109/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Speaking of books you should nab. Longtime friend and member of the Craig Mod Cinematic Universe, W. David Marx, has a new book fresh off the presses: Blank Space: A Cultural History of the Twenty-First Century. I loved this book. I also hated it, in the sense that it affirmed my growing sense of dread around “cultural production” in 2025. I got to read it back in September, and I marked the hell out of it. And then David and I recorded a new episode of On Margins, the first in about five years.

The book is a look at the last twenty-five years of (largely) American pop-culture: art, film, music, and politics, as politics has veered firmly (entirely?) into mostly bad-faith entertainment. Spread out over Marx’s 380 (quick) pages, something’s off:
<blockquote>The first step in reversing cultural stagnation is to accept that artistic invention is a social good. And like so many other social goods, it isn’t necessarily going to have its production prioritized by the market. We — creators and audiences alike — have to make an effort to encourage bold new forms of culture. Even failures and half steps will be more interesting than overly market-tested products.</blockquote>
Reading Blank Space didn’t necessarily “radicalize” me, but it made me overtly grateful for the work I’m doing: work grounded in the world, physicality, relying on social media as little as possible, operating at “human scale” and creating as many “durable” and “deep” connections as possible, attempting to elevate everyone who’s involved. I’ve been lucky. I’m able to walk, to write, to photograph, and then collate all that into printed books. It’s easier than ever to sell printed books online thanks to companies like Shopify. And it’s easier than ever to form a relationship with a fulfillment warehouse, set up a DHL account, and ship the things around the earth. Global shipping is the 10th wonder of the world. I love that I work with talented printers and binders, paying their employees well. I love that I have readers who are OK with paying what my books cost. I like that the arc of the work is slow and loping, that daily updates might happen in spurts, but they are 2,000-5,000 words spurts, amidst an outsized walk, more like an ascetic ritual, calming, fullness-giving, the opposite of whatever it is you have to access to upload daily TikToks.

Work like mine has almost no representation in David’s book. There’s a ruthlessness that’s taken hold across all strata of cultural making (and life itself). Everything turned into a casino, “traps” galore. Billions as the only goal. Achieved celebrity? Start a coffee brand (or gin brand, or tequila brand; I’m shocked nobody is selling their own cigarettes). Leave “nothing on the table.” Epicurean maximizing. That sort of thing. The whole world in a swivet about every dumb breath by some dumdum. AI now turning the future protean. Models upending models within days. Solid ground made liquid for the next decade.

David’s book is funny. I mean, it’s heartbreaking, mainly. But you’ll laugh as your soul is pummeled. David quotes all the fools of the last twenty-five years. They are happy to shoot themselves in their own feet, again and again. The book is most tragic when it dips into politics. In our On Margins chat, we mention Obama, how his ascension symbolized some “completion” — “it was love triumphing over hate, and peace over war, and all sorts of things of the way we were told how things were going to play out because of the natural order of the world, that there would be some sort of correction and this was the correction.” It’s surreal now to think of that world in 2010. The iPhone basically still new. Obama in the White House. The full conversion of everything online to brain traps, to teleportation heroin, still years away. Back when you actually had to “follow” folks to see their content. 2010, just fifteen years ago, but about seven generations of mental life. Back when a trillion-dollar company was a pipe dream (Apple being the first to hit that number, in 2018; now it feels like a monthly announcement, Nvidia hitting $5T a month ago), back when you didn’t nab a $100B valuation as a startup before you even launched a product. Back when Apple’s own apps weren’t loaded with ads. Back when not everything was “recurring revenue” driven. Back when even non-institutional investors had a chance to get in on a company like Facebook or Google while they were still in ascendancy.

Still, around that (now seemingly Brigadoonish) time, I already had a growing sense of doom / skepticism around how much tech money was being bandied about:
<blockquote>Craig: Early 2008, 2009, 2010, I was very negative on Facebook. Very early because I remember explicitly that Facebook was eating up all the designers, uh, from Brooklyn who were doing genuinely interesting work. I remember being really depressed about that. But if Facebook offers you a million dollar salary — especially in 2008, 2009, 2010, it’s hard to turn down. But it felt like there was this incredible compromise that had started to happen.</blockquote>
And David, expanding on this point:
<blockquote>David: This is a really important point of the 21st century, which is I graduated in 2001, and I don’t think anyone around me, even the money hungry people were like, I’m going to be a billionaire. No, it was just on zero people’s minds. And the best was like, dude, did you know you could go work for an investment bank and within five years you could be making $1 million?</blockquote>
Anyway, you should absolutely read David’s book. It deals with all of this and more. His ability to synthesize vast swaths of history and criticism into sane, compressed chapters is inspiring. It’s a fun read, and may radicalize you, too, in better directions. Or just reaffirm the path you’re already on. Or just get you to step offline for a few moments."]]></description>
<dc:subject>craigmod wdavidmarx culture 2025 scale scaling human humanism society creativity internet web online shipping nvidia siliconvalley facebook meta capitalism google hipsters design history criticism art media film tv television writing howwewrite humanscale slow small making makers culturalproduction attention</dc:subject>
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</item>
<item rdf:about="https://www.equator.org/articles/surrealism-against-fascism">
    <title>Surrealism Against Fascism • EQUATOR</title>
    <dc:date>2025-11-27T06:04:59+00:00</dc:date>
    <link>https://www.equator.org/articles/surrealism-against-fascism</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[[archived:
https://archive.ph/v2k6E ]

"A century ago, artists who survived the trenches captured humanity’s capacity for destruction. What can they teach us about confronting the far-right in a new age of genocide?"]]></description>
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</item>
<item rdf:about="https://www.theverge.com/ai-artificial-intelligence/827820/large-language-models-ai-intelligence-neuroscience-problems">
    <title>The AI boom is based on a fundamental mistake | The Verge</title>
    <dc:date>2025-11-25T16:12:39+00:00</dc:date>
    <link>https://www.theverge.com/ai-artificial-intelligence/827820/large-language-models-ai-intelligence-neuroscience-problems</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Cutting-edge research shows language is not the same as intelligence. The entire AI bubble is built on ignoring it."]]></description>
<dc:subject>benjaminriley 2025 ai artificialintelligence language llms intelligence markzuckerberg darioamodei meta facebook samaltman openai anthropic agi artificialgeneralintelligence claude gemini google chatgpt</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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</item>
<item rdf:about="https://podcasts.apple.com/us/podcast/what-people-actually-use-chatgpt-for-with-gerrit-de-vynck/id1730587238?i=1000737541296">
    <title>What People Actually Use ChatGPT For With Gerrit De Vynck- Better Offline - Apple Podcasts</title>
    <dc:date>2025-11-24T19:13:15+00:00</dc:date>
    <link>https://podcasts.apple.com/us/podcast/what-people-actually-use-chatgpt-for-with-gerrit-de-vynck/id1730587238?i=1000737541296</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In this episode, Ed Zitron is joined by Gerrit De Vynck of The Washington Post to discuss what an analysis of 47,000 ChatGPT conversations can tell us about how people use the service - and how willing it is to fuel basically any conversation.

We analyzed 47,000 ChatGPT conversations. Here’s what people really use it for - https://www.washingtonpost.com/technology/2025/11/12/how-people-use-chatgpt-data/ 

https://www.washingtonpost.com/people/gerrit-de-vynck/ 
https://x.com/GerritD 
https://bsky.app/profile/gerritd.bsky.social "]]></description>
<dc:subject>via:javierarbona ai artificialintelligence chatgpt openai 2025 edzitron gerritdevynck conspiracytheories pscychologies algorithms psychosis sycophancy chatbots psychology conspiracies behavior search conversation radicalization youtube fringe monstersinc google technology bigtech health healthcare medicine maga donaldtrump trumpism antiwoke moralhazards socialmedia facebook llms livestreaming platforms moderation information seach misinformation delusion falsehoods</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:afe68a5ee6f1/</dc:identifier>
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<item rdf:about="https://www.youtube.com/watch?v=4kBgnjn5cC0">
    <title>How Big Tech Has Convinced Us to Surveil Ourselves and Each Other - YouTube</title>
    <dc:date>2025-11-24T16:56:38+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=4kBgnjn5cC0</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Jason talks to Chris Gilliard, the author of the upcoming book Luxury Surveillance. Gilliard has studied the rise of companies like Ring and Flock, as well as the dynamics that lead people to surveil themselves and each other."

[Also here:
https://podcasts.apple.com/us/podcast/luxury-surveillance-with-chris-gilliard/id1703615331?i=1000738102953 
https://open.spotify.com/episode/0IZJWgSZPhsQmIsYujdNLa ]]]></description>
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<item rdf:about="https://themarkup.org/hello-world/2025/11/22/how-american-big-tech-guards-the-profits-it-extracts-around-the-world">
    <title>How American Big Tech guards the profits it extracts around the world – The Markup</title>
    <dc:date>2025-11-23T19:58:37+00:00</dc:date>
    <link>https://themarkup.org/hello-world/2025/11/22/how-american-big-tech-guards-the-profits-it-extracts-around-the-world</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["A consortium of journalists is revealing how the industry influences governments in Latin America and globally."]]></description>
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<item rdf:about="https://www.leahreich.com/the-global-fraud-economy/">
    <title>The Global Fraud Economy</title>
    <dc:date>2025-11-22T00:28:25+00:00</dc:date>
    <link>https://www.leahreich.com/the-global-fraud-economy/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Anyway, the story was about Meta and all the money the company makes from facilitating fraud on a gargantuan scale by showing users fake ads, ads for fraudulent investment schemes and other scams, and ads for banned goods. "Banned goods" is a vague phrase, so you should know that based on my extremely cursory internet search, "banned goods" include but are not limited to: banned medical products (while blurring or blocking ads for abortion pills), gun silencers, "nudify" apps that allow users to create sexually explicit deepfakes, gambling and sports betting, along with pornographic and sexually explicit ads (all examples in that article are blurred, don't worry) and "AI girlfriend" apps.

Need I remind you that if you are a user on any of these platforms, your content may immediately be removed for the slightest hint of nudity or anything else that violates the terms of service. You won't be able to contest this. You might even be banned from using the app. Meanwhile, this is happening:

[screenshot from https://igamingexpert.com/news/affiliates/urgent-warnings-over-metas-16bn-illegal-gambling-ad-revenue/ :

"Earlier this year, a report by the All India Gaming Federation found that Facebook ads were fuelling the black market in the country with unlicensed betting platforms getting 1.6 billion visits over a three month period.

In September, the Malaysian government called Meta out on its prevalence of black market gambling ads."]

Now, Meta obviously does not show these ads intentionally, but show them it does. According to internal estimates, it sometimes shows them to the tune of 15 billion scam ads a day across all platforms. Fifteen billion. That is a mind-boggling number. Beyond the very serious issue at hand—users being shown and clicking on scammy ads or sexually explicit deepfakes, Meta making money from these views and clicks—it's also a reminder of just how many ads are being shown every day on Meta products alone. 15 billion is a fraction of that total.

Oh and by "all the money the company makes," I mean upwards of 10% of Meta's total revenue, according to those same internal estimates. So you know, about $16 billion dollars. (These numbers have since been walked back.)

Now, I should be fair. While I've seen some questionable ads on Instagram, I've also seen crazy scam ads on non-Meta platforms. Recently, during a random YouTube rabbit hole, I got served a series of super weird deepfake ads about natural erectile dysfunction remedies, and one of them featured... Oprah?

And you know, Meta has tried to remediate the issue to a certain degree. They've done internal assessments, developed automated systems to not only flag questionable ads and marketers but predict whether those advertisers are likely to be scammy, taken down millions of ads, reduced user reports of scam ads, and penalized marketers that are likely to be scammers by charging them higher ad rates.

I'm sorry. They do what?

They charge higher ad rates. The idea is that higher rates will be a deterrent for anyone who might—might! not absolutely certainly!—be looking to advertise gambling or firearm supplies or sex. In other words, the company actually makes more money from these ads than from other ads.

The cursory internet search I mentioned above also produced a number of results on sites like Reddit and Quora, among others, full of people trying to figure out how to effectively report these ads and get them taken down, or even report the ads at all. To be clear, these posts and comment threads are not data, and many of them might not even be real. So they don't prove anything about Meta's reporting systems or the company's willingness to remove questionable or overtly problematic ads. But seeing them, and thinking about experiences I've had as a user, it does make you wonder how they reduced user reports of scam ads by 58%. Were there in fact fewer scam ads to be reported? Or did the changes in content moderation policies earlier this year have an impact on ads? Did users feel more discouraged from reporting, or confused by the process? I don't know the answers to any of these, but they would be interesting to dig into.

But! I'm not here to accuse Meta of doing anything shady when it comes to user reports, or secretly trying to earn more money from scam ads. (Hello to any lawyers who may be reading!) I just want to talk about these ads, and about the fact that a company is able to make billions of dollars by in part by providing a platform for advertisers who may be actively scamming and defrauding the users of those platforms. Including users who try to report it, whose own content has been taken down for ostensibly violating terms of service, who are vulnerable or at risk. Or they may not, it's really hard to be certain.

When I worked at big tech companies, it was often hard to explain to non-tech workers (and frankly even to many tech workers) why companies made products and made decisions that users hated. Occasionally, it was a case of a necessary change to navigation, an honest attempt to fix an issue even though it would be impossible to please everyone, or a choice that was based on a particular engineering decision the company had committed to years ago. It's not always possible to build the thing you want. But the funny thing you learn is that it usually is possible to build the thing a business partner wants, or a particular VP, or a major partner, or an advertiser.

Sometimes this is even explicit. At one job (not at Meta), I pushed back when another team kept telling my team they were taking a feature we had worked on and were pushing it to production. I told them that in every single study we had conducted, users didn't like the feature. I made it clear that the feature would actively worsen the experience for the people who paid to use the product. The other team kept insisting, and it was only after they said I was being obstinate and "kind of bitchy" (for advocating for our users) that someone cleared things up: Someone in the C-suite had personally told the team to ship the product because they'd promised it to business partners. I said, "Oh. Why didn't you guys tell us this to begin with? Even I know there are some battles you can't win."

When you work in tech long enough, if you have any level of detachment and cynicism (and any sense of ethics or morals), you start to see patterns. All those new legal policies that provide cover, all those public statements touting efforts to mitigate the problem full of results that sound so impressive. But who really holds these companies accountable for enforcing those policies? How do we know the problem is being solved when we have no other numbers or metrics to compare? How much money would the company stand to lose if the problem was fixed to the full extent possible? To the public it always seems like not enough is being done, but when you've been on the inside long enough you can see that it's actually just enough being done: Look how hard we’re trying! It’s such a tough intractable problem! Who could possibly solve it! :jazz hands:"

...

"Tech, as we've learned the hard way, has been our 21st Century Empire. You might think this is crazy, because no one was "born" to tech. But that's always been part of the ethos behind the industry. A special Shangri-La, a meritocracy in which certain people succeed because of their obvious natural born talents, a selective club of special geniuses. Although this is the United States, so instead of class we just call it money. And there are a lot of ways to take money from dupes and dummies.

It's not just the ads. It's NFTs, crypto, and the insane proliferation of sports betting sites, new versions of the old sleight of hand and back room bookies that we've now spit-shined and legitimized. It's the products that suck you in and ruin your attention span, then push ten different things at you to distract you and make you forget whatever it was you'd intended to do. But it's also the ads. The relentless barrage of shit that you click on even when you don't mean to, the ads that skirt the rules, the ads that remind you that you're not only trading your data for a free service, you're also allowing the company to pick your pockets, access your life savings, and flash you in the bargain.

You already know that the tech industry has attracted people who think they're smarter than everyone else. Now you know they also think the rest of us are total dummies, while they're born to rule in this new Empire, fully entitled to take our money. They've been doing it for a while now! No wonder nothing is beautiful, and everything hurts."]]></description>
<dc:subject>leahreich 2025 fraud meta facebook instagram ads advertising society economics internet web online socialmedia scams reddit quora cynicism trust us nfts crypto cryptocurrencies sportsgambling gambling sports blackmarket</dc:subject>
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<item rdf:about="https://www.thedial.world/articles/news/ireland-us-tech-meta-google-apple">
    <title>What US Tech Did to Ireland — The Dial</title>
    <dc:date>2025-11-22T00:26:31+00:00</dc:date>
    <link>https://www.thedial.world/articles/news/ireland-us-tech-meta-google-apple</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The country is alarmingly reliant on Meta, Google and Apple."]]></description>
<dc:subject>ireland economics meta facebook google apple inequality jessicatraynor society labor work survival workforce bigtech taxavoidance taxevasion taxes taxation banking finance housing rent dublin technology corporations corporatism eu policy politics</dc:subject>
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<item rdf:about="https://www.nybooks.com/articles/2025/12/04/how-the-web-was-lost-internet-this-is-for-everyone/">
    <title>How the Web Was Lost | James Gleick | The New York Review of Books</title>
    <dc:date>2025-11-20T19:48:14+00:00</dc:date>
    <link>https://www.nybooks.com/articles/2025/12/04/how-the-web-was-lost-internet-this-is-for-everyone/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The Internet was not meant to suck."

[archived:
https://archive.ph/ETmEP ]

"Walsh is one of those users—part of a generation that could say (as she did in a previous book, Girl Online), “All the good things in my life have come to me through screens.” She, too, celebrates an egalitarian ideal. We built Internet culture; it’s ours. “I don’t like books that use ‘we,’ that extend the particular to the general, erasing the subtleties of individual lives,” she writes, but that we is essential to her project. She speaks for a presumed cohort of like-minded people, of the right age and class to have a shared experience of the Internet, from then to now. “Online, what we make, and make of ourselves, is experienced not only by whoever’s in front of us, but by anyone we allow to see (and some we don’t),” she says. This is a nice observation. She adds, “Online isn’t an unfamiliar experience any more; it’s where we live.” She means the people who are sometimes called consumers but who, for Internet culture, are also the creators. Her amateurs were liable to use the word aesthetic with particular pleasure and self-consciousness. She celebrates the aesthetic they created, and mourns it, and celebrates it again.

She barely mentions Berners-Lee, but he anticipated her aesthetic of the creative amateur. He, too, liked chaos—“anarchic jumble.” He deplored the apparent rationality evidenced by urban planners like Le Corbusier: “‘rational’ cities, which segmented neighborhoods by function and stripped buildings of detail and ornamentation.” His design for the web was an antidesign, refusing to impose particular structures, leaving space for unanticipated uses and possibilities: “I explicitly conceived of the web to be fractal, thumbing my nose at this kind of false ‘rationality.’” It would evolve, making connections, opening portals, and encouraging creativity. Doctorow remembers it as “a wild and woolly internet, a space where people with disfavored views could find one another, offer mutual aid, and organize.”

Berners-Lee’s memoir serves as a genial potted history of the Internet. He seems to have been everywhere and met everyone. Making an early appearance is a college student at the University of Illinois at Urbana-Champaign named Marc Andreessen. In 1993 he was an undergraduate learning to program—he earned $6.85 an hour writing Unix code at the National Center for Supercomputing Applications, on the Illinois campus. With another NCSA programmer, Eric Bina, he wrote a web browser they called Mosaic, intended to be simple and user-friendly, with versions for Windows and Macintosh PCs.

That was exactly what the world needed in this moment, when hundreds of thousands of PC owners discovered all at once, modems squealing, that they could “dial in” to “Internet service providers.” The NCSA, with funding from Al Gore’s program, backed the Mosaic browser with press promotion, and for a while it was so popular that people talked about being “on Mosaic” rather than on the Internet or the web. “Think of it as a map to the buried treasures of the Information Age,” The New York Times gushed. Hardly anyone remembers Mosaic now, the history of the Internet being a history of things that were incredibly hot for an incredibly short time.

Berners-Lee, who recalls a tense meeting with a truculent Andreessen in a campus basement, saw his free-for-all vision being co-opted. In short order, Andreessen graduated, decamped to Silicon Valley, and took the web browser private with his own Mosaic Communications Corporation. He settled an intellectual property lawsuit from the University of Illinois, changed the browser’s name to Netscape, and became one of the first Internet billionaires. He appeared on the cover of Time magazine in 1996 with bare feet and a lupine grin. Thirty years later, Andreessen is one of Silicon Valley’s most powerful venture capitalists, an enthusiastic backer of the current wave of AI and cryptocurrency. He is the quintessential technocrat, a proud captain of what he calls “the techno-capital machine.”

To its users, the web browser was a lovely tool. To its owners, it was a platform—a means of control, a system that locked users in and monitored their behavior. Microsoft, late to the Internet, caught up and countered Netscape with a browser of its own, Internet Explorer. This period was known as the browser war. The browser acquired more and more features—for playing games, watching videos, signing forms, and most of all buying stuff, ideally with a single click. There was money to be extracted, data to be harvested.

In the most profound way, Andreessen was Berners-Lee’s nemesis, but it’s not Berners-Lee’s style to get mad. That’s more Cory Doctorow’s thing:

<blockquote>The internet is getting worse, fast. The services we rely on, that we once loved? They’re all turning into piles of shit, all at once. Worse, the digital is merging with the physical, which means that the same forces that are wrecking our platforms are also wrecking our homes and our cars, the places where we work and shop. The world is increasingly made up of computers we put our bodies into, and computers we put into our bodies. And these computers suck.</blockquote>

What Doctorow means is that the bright, shiny objects of the Internet have become spy tools, surreptitiously collecting information about us—our habits, our desires, our health, our political inclinations—and using it to manipulate our behavior. The platforms that appear to serve users hungry for information—and did serve them, at first—now go to extreme lengths to seize attention. Algorithms designed to maximize “engagement” amplify anger and sensationalism at the expense of truth.

Novel platforms emerged and swelled in overlapping sequence: the browser, the search engine (Google), the social network (Facebook, Twitter), the megastore (Amazon). Before all of these, before any dream of the Internet, the proto-platform was the Bell System—the American telephone network, a monopoly operated by the world’s most powerful corporation. The Bell System left nothing to chance and nothing to the user. It owned the wires and the telephones. Customers were captive, and so were the ostensible regulators, for most of a century.

After the breakup of the telephone monopoly, the new platforms could not lock in users so absolutely. They had to resort to cunning. Case number one: Facebook, which Doctorow calls “a service that Mark Zuckerberg started in his dorm room so that he and his creepy pals could nonconsensually rate the fuckability of their fellow Harvard undergrads.”

He’s not wrong. But users loved it. They exchanged personal news and relationship statuses and music preferences and pictures. Zuckerberg’s was not the first social media service; oldsters may vaguely recall Friendster and then MySpace, which by 2006 had been snapped up by Rupert Murdoch. As Facebook put it in a marketing pitch:

<blockquote>Has it occurred to you that MySpace is owned by an evil, crapulent, senescent Australian billionaire named Rupert Murdoch, and he spies on you with every hour that God sends?

Come to Facebook, where we will never spy on you.</blockquote>

Now, of course, spying on users is the essence of Zuckerberg’s business model. This is what the Harvard business professor Shoshana Zuboff has called surveillance capitalism, a project of behavior control, commodifying individuals’ personal experience and private information to target them with advertising and propaganda.

In Walsh’s terms, creativity has been replaced by extraction. “Creators are back in the age of the patron,” she writes. Customers become unwitting captives: they have friends and followers, but only by sufferance of the platform; if they want to switch to a different service, they can’t take their network with them.

The ironies are abundant, and chief among them is that the early Internet thrived on cutting out the middleman. If people complained about the markup charged by their brick-and-mortar bookstore, the upstart Amazon promised to eliminate the overhead of shelf space, store rents, and clerk salaries and deliver the merchandise straight to their front door. Or straight to the eyeballs—cut out the printers and paper mills, too. The buzzword was disintermediation. Another master of disintermediation was eBay, connecting buyers and sellers directly, cutting out the antique dealers and flea markets. Napster did the same for music lovers, cutting out the record stores; it began enabling song downloads in 1999, operated for a year and a half, claimed 80 million users, and devastated the recording industry.

And now? The platforms are middlemen par excellence. They squeeze buyers and sellers alike. Music streaming services like Spotify and Apple Music say they aim to connect artists with their fans, helping music lovers find the music they love and helping creators find a livelihood; instead they use their centralized control to pay artists less than ever. Google and Facebook, dominating the global advertising market, have colluded to raise prices for advertisers while minimizing the revenue to websites that publish the ads."

...

"Enshittification represents the fulfillment of a vision laid out by Andreessen in a famous 2011 Wall Street Journal essay, still featured on his company website. “Software is eating the world,” he declared proudly. By then he was a major investor in Facebook, Twitter, LinkedIn, Skype, and many others. What he meant by “eating the world” was that Amazon had destroyed Borders, Netflix had destroyed Blockbuster, music-streaming giants were destroying record labels, and Google was “using software to eat the retail marketing industry.” He considered this to be good news.

But software doesn’t eat anything. Tech companies do, when they gain the power to use the levers of the information economy to consolidate and dominate."

...

"Reality has surely disappointed Doctorow yet again. Trump replaced Khan with a commissioner who is reversing her agenda. The antitrust case against Google ended in September with a whimper: the Biden administration had asked for a forced separation of the company’s browser business from its search business, but Judge Amit P. Mehta, having already declared Google a monopolist, backed down. “Here the court is asked to gaze into a crystal ball and look to the future,” he wrote. “Not exactly a judge’s forte.” And Trump has made his own kind of peace with the tech oligarchs: demanding personal obeisance and dispensing favors. Musk and Andreessen became full-throated and deep-pocketed supporters; Zuckerberg and Jeff Bezos donated to his inaugural festivities; Google and Apple executives have come to the White House as supplicants, bearing flattery and gifts. Amazon, Apple, Google, Microsoft, and Meta all joined the list of donors to Trump’s vanity ballroom project in the now-demolished East Wing of the White House.

We amateurs are going to need a work-around."]]></description>
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    <title>The Progress Paradox</title>
    <dc:date>2025-11-13T19:43:37+00:00</dc:date>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["Neoliberals long preached that markets and technology reinforce each other, enabling both to progress. In reality, when one develops, the other tends to stagnate."]]></description>
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<item rdf:about="https://2ndbreakfast.audreywatters.com/ai-grief-observed/">
    <title>AI Grief Observed</title>
    <dc:date>2025-11-13T04:53:10+00:00</dc:date>
    <link>https://2ndbreakfast.audreywatters.com/ai-grief-observed/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["These remarks were delivered this evening at the Creatively Critical Tech Speaker Series at Illinois State University. 

---

"There is no good way to say this."

These are the opening words of Yiyun Li’s latest book Things in Nature Only Grow about life after the death by suicide of both of her sons.

"There is no good way to say this." My heart goes out to you if you too have had this sentence spoken to you. "There is no good way to say this" is a sentence always followed by very bad news.

(It is, I recognize, an unsurprising way to start a talk by yours truly, someone who has made a career out of describing education technology as very bad news. "There is no good way to say this." It's also an admission on my part that what I want to talk about tonight are thoughts that are quite tentative, quite tender. My husband asked me, "is it a good talk?" And I had to say, "I don't know!")

Let me read the first few paragraphs of Li's memoir, more than just that first sentence, in part because it is a radical radical book on death and endurance and acceptance (and typically, I think, we see "acceptance" as the antithesis of "radical." As complacence, as surrender).

> There is no good way to say this — when the police arrive, they inevitably preface the bad news with that sentence, as though their presence had not been ominous enough. The first time I heard the line, I knew already what was about to be conveyed. Nevertheless, I paid attention to how the news was delivered: the detective insisted that I take a seat first. I sat down at the dinner table, and he moved another chair to the right distance and sat down himself. No doubt he was following protocol, and yet the sentence — there is no good way to say this — struck me as both accurate and effective. It must be a sentence that, though nearly a cliché, is not often used in daily conversation; its precision has stayed with me.

> The second time, having guessed the news about to be delivered, I did not give the sentence a moment’s thought. I did not wait for the detective to ask me to sit down, either. I indicated a chair where my husband should sit and took the other chair in the living room. My heart already began to feel that sensation for which there is no name. Call it aching, call it wrenching, call it shattering, but they are all wrong words, useless in their familiarity. This time, the four policemen all stood.”

"There is no good way to say this." There is no easy way to talk about this. There are acceptable words, I suppose, but they are never "good," never remotely satisfying or comforting -- not to say, not to hear.

By "this," I mean death obviously. By "this," I also mean other traumas, other endings. By "this," I mean what might feel like or look like the end of education – an end not spoken about with the solemnity of the policemen but rather with a real jubilation from technologists and venture capitalists, who gloat about disruption.

I want to start here – by “here,” I mean the recognition that there is no good way to talk about death, no good way to talk about grief, even though I am going to try very hard to do so: to talk about grief – mine, yours, students’, teachers' – and tie it to “artificial intelligence.” I want to talk about grief and “the end." I want to talk about the end of the world – I don't, really; I want to talk about what feels like the end of the world and what might be, should we continue to build data centers, invest in this rapacious technology, and ignore climate change, literally the end of the world; I want to talk about the destruction of the future (our own, our children's), about the end of democracy, the end of education.

I want to talk about loss. A loss that is, perhaps, an abandonment. Perhaps an abdication. An absence. An erasure. A trauma. Death, mass death -- literal and metaphorical.

“There is no good way to say this.” I have read a lot of memoirs about dying and about grieving. Joan Didion’s The Year of Magical Thinking, of course. Geraldine Brooks’ Memorial Days. C. S. Lewis’s A Grief Observed (a phrase I’ve borrowed for the title of this talk). Michelle Zauner’s Crying in H Mart. Helen Macdonald’s H is for Hawk. I could go on and list so many wonderful, painful books. And yet, despite some of the greatest writers having tried, “there is no good way to say this” -- I know this. I know this intimately. Yet I still search for some good words to have been said, to have been written. Words to comfort. Words to find meaning. Words to make sense. Words to not feel so utterly alone, at the abyss abyssmal, because those we love most have left us, and the future we thought we would share is gone too.

“There is no good way to say this," the police told Yiyun Li. I don’t think that the coroner said those exact words to me, although he might have, when, in May 2020, I received the phone call that my own son had died. I do not remember the words, but I remember the feeling. Everything tilting and spinning and spiraling down. The blood drains, your stomach sinks. All words and feelings of such profound, indescribable, unspeakable loss.

May 2020 was, if you’ll recall, the early days, the early weeks of the COVID lockdown. I was in Oakland, California; Isaiah was in Seattle, Washington. He died alone in his apartment of an opioid overdose.

A few weeks later, OpenAI released GPT-3.

Our tools are cultural not merely technological, so while many people want to frame the emergence of generative AI as simply the latest development in the long history of computers, of artificial intelligence -- transformers, neural networks, tokens, and so on -- we have to remember that what emerges is not just a matter of engineering. It's a matter of markets and politics and ideology and culture.

I think it matters that GPT was released during the COVID pandemic (and ChatGPT shortly "after"), when many of us were stuck at home, isolated and interacting with one another almost entirely through screens.

I think it matters that all this talk about the potential for "AI" to do our jobs comes after labor made some important (albeit tentative) gains during this period: the whole notion of "essential worker"; the successful push for unionization in some sectors; the astonishment from many parents after trying to facilitate their own children's schooling -- all those “teachers should be paid hundreds of thousands of dollars a year” posts on social media; demands during and after the pandemic to continue to work from home, to have more control over space and place and time. AI is a backlash. AI is anti-worker.

I always feel the need to remind people that neither robots nor AI are coming for our jobs. But management probably is.

I think it matters that this latest AI push, with generative AI's penchant for “bullshit,” follows on the heels of growing mis- and disinformation campaigns online. This was precisely the realization many people had come to after Donald Trump's first election as President and during his first term in office. And this was precisely what LLMs have been trained upon.

I think it matters that the technology industry relies on deception and obfuscation and markets its new bullshit machines right as the leaders of this country have openly embraced being liars, cheats, and frauds, have openly rejected knowledge and expertise.

I think it matters that as we have lost faith in institutions over the course of the past few decades -- in the church, in the media, in schools, in science, in medicine (particularly in public health and in vaccines) -- that we are now promised an oracle that can deliver instant and easy answers.

I think it matters that AI -- so utterly opaque in its algorithmic predictions and decision-making -- is the ultimate unaccountability machine.

We expect more from technology than we do from each other, the psychologist Sherry Turkle wrote in her book Alone Together in 2011. I think it matters that trust and solidarity have been eroded for a while now (if they ever really existed or were encouraged in this country).

I think it matters that economic inequality has in the last few decades exploded, that the promises to students in particular – get good grades and you'll get into a good school, graduate from a good school and you'll get a good job – feel pretty empty.

AI is a "normal technology," the artificial intelligence professors Arvind Narayanan and Sayash Kapoor (authors of AI Snake Oil) have argued. But what we have come to see as "normal" is, in fact, utterly abhorrent, abysmal. Yiyun Li writes a lot in her book on learning to inhabit the abyss of grief. What does it mean to normalize the abyss?

AI is the symptom of a broken world. AI is the symptom; and AI is the disease.

Generative AI emerged during a global pandemic -- a global trauma of mass death (1.2 million people in the US died of COVID, and about 7 million globally -- these are, no doubt, figures that undercount how many actually died of the disease, let alone those like my son who died during that time period of other causes -- overdoses, suicide, murder, and deaths related and unrelated to the pandemic).

Mass trauma, mass death and, as such, mass grieving. But it was, at the time and still to this day, a grief interrupted, a grief buried, a grief denied, a grief (contrary to C. S. Lewis's phrasing) unobserved. We were often not able to bury our dead, not able to hold funerals, not able to have wakes, not able to observe the rituals of death, not able to gather, to bring food, to hold and comfort one another.

And when we were told the pandemic was over -- it hasn't really ended; the World Health Organization says there were around 150,000 cases of COVID reported in the last month -- we didn't deal with our trauma. We didn't deal with our grief. We were supposed to bury our feelings; we were supposed to forget. It was back-to-school, back to work, back to "normal."

Or some “new normal,” now with AI – a technology that we didn't want, that we didn't ask for, and that we're told we cannot refuse.

Of course, that's not quite right. We can refuse.

One more correction: there was, in fact, a massive demonstration of grief – an outpouring of grieving in public – during COVID; and that was the Black Lives Matter movement, the protests that occurred in cities throughout the country particularly after the murder of George Floyd. This grief was not private or hidden; it was collective. This grief was not just personal, expressed by those impacted directly by racism and police violence; it demanded from protestors and onlookers, empathy, solidarity. This grief was expressive – even as we are always told with protest, as with grief, that that is not the “good way” to say it. The grief of Floyd’s death – and all the deaths – was not sufficient. It was not simply a marker or memorial of death; but it was an act of life, an act of repair. It was a demonstration of love and loss and fury; it was a commitment to the future.

And again, technology is cultural, ideological not simply technological.

It matters that generative AI emerged with or alongside -- you can decide the preposition you prefer -- a politics that is openly hostile to Black Lives Matter, that opposes diversity, equity, and inclusion. It matters that Silicon Valley companies were among the first to backtrack on their DEI initiatives, were happy to stand with Donald Trump when he proclaimed that AI needed to be purged of "ideological biases," purged of "woke."

Generative AI is, with or without Trump's executive orders, a backlash to diversity, equity, and inclusion, a reinscription of the words and images of white supremacist, heteronormative, Western, English-speaking capitalist patriarchy. That is the corpus that large language models have been trained on -- "the canon" (with all the copyright violations that that has entailed) as well as "the Internet" (thousands and thousands and thousands and thousands of YouTube videos and YouTube comments and Reddit posts and -- with apologies to anyone this might include here this evening -- lots of very mediocre freshmen essays on the theme of family in Romeo & Juliet or the role of "states' rights" in the US Civil War).

In response to a radical outpouring of love, loss, life, grief -- expressed together, embodied, on the streets -- we were presented with, forced to use in so many cases, a technology that severs us from creative expression, dignity, and truth. There is no choice, we're told. "Get over it." "Move on."

One of the problems with grief, as Yiyun Li argues in her memoir, is that it's been described as a set of stages one moves through, as something that has a beginning and, significantly, an end. You will eventually, people try to tell you, "get over it." This is Elizabeth Kubler-Ross's famous formulation: grief as a series of emotions that move from denial to anger, then bargaining, then depression, and finally acceptance. And even if we might've revised this progression somewhat since she published her book On Death and Dying in 1969, society still gives mourners (and not just as workers) a very limited amount of time "to deal with it" before they're expected to "move on."

“There is no rush,” Yi writes, “as I will have every single day, for the rest of my life, to think about Vincent and James, outside time, outside the many activities of everyday life.”

> And this, among other reasons, is why I am against the word “grief,” which in contemporary culture seems to indicate a process that has an end point: the sooner you get there, the sooner you prove yourself to be a good sport at living, and the less awkward people around you will feel. Sometimes people ask me where I am in the grieving process, and I wonder whether they understand anything at all about losing someone. How lonely the dead would feel, if the living were to stand up from death’s shadow, clap their hands, dust their pants, and say to themselves and to the world, I am done with my grieving; from this point on it’s life as usual, business as usual.

> I don’t want an end point to my sorrow. The death of a child is not a heat wave or a snowstorm, nor an obstacle race to rush through and win, nor an acute or chronic illness to recover from. What is grief but a word, a shortcut, a simplification of something much larger than that word?

Of course, we like thinking of things in stages. We like the order, we like to frame our world, our understanding of time this way -- in hours and days and seasons. We ritualize these -- indeed, that is one of the reasons why our inability to conduct the traditional practices associated with death and dying made our grief during COVID even more unbearable. Without rites and rituals, you cannot “move on.” You cannot grow or shift or change. You are stuck in the past. You are stuck.

The anthropologist Victor Turner used the term “liminality” to describe the one of the key phases of rites of passage, those rituals that mark transition – not just transition into the “afterlife,” for example, but transition into adulthood or into marriage or into society. This liminal phase, as he called it, was “betwixt and between” – a period where you are in the process of becoming something new, but you’re not that new person yet, nor are you the person you were any longer. Liminality, Turner argued, was a sort of limbo – but in that limbo, something really transformational happens – something radical even in the most conservative and traditional ritual practices. Liminality is a time – and to be fair, this can be a very very very brief moment, depending on the rite of passage – of solidarity and equality and unity. Protests, for example, are liminal spaces.

Education, I’d argue, also has elements of this liminality. It is a rite of passage, a ritual of becoming – you enter a child, a “fresh man” and you leave an adult. We have retained some older parts of these rituals – the cap and gown obviously, moving the tassel from one side of your head to the other. But there's more to it than just these practices. You have to believe, I’d argue, in that transformation to be able to commit yourself to the time, to the work. (Socially, culturally, politically, we have to believe it is worthwhile to send children to school, to send them to college.)

But much to the detriment of learning, let alone to the survival of educational institutions, we have seen education redefined as something else -- as a product, not a process. As certification, not transformation. The liminality has been shattered; instead of ritual, society has demanded “outcomes” and “optimization.”

I don’t say any of this out of nostalgia for a once-upon-a-time when college was good. Educational institutions -- whether at the K-12 or the university level -- have always always been deeply flawed, highly exclusionary, full of all sorts of machineries of bullshit. These are, as Michel Foucault reminded us, sites of discipline -- disciplining bodies and minds.

But by dismantling educational institutions -- and AI is really just the latest act in a long long history of dismantling -- we are also dismantling that space for shared practice and purpose, for shared understanding -- “communitas,” Turner called it.

The technology industry -- indeed, capitalism -- prefers “individualization” and “immediacy.” Certainly, it pays lip service to "community" -- Mark Zuckerberg's blah blah blah about Facebook connecting the world. When Google says it wants to organize the world's information and make it "useful," this is a very different mission than the university's. The tech industry's allegiance is to surveillance capitalism, to profit and power, not to knowledge and certainly not to people.

What we are experiencing now -- with AI, with the defunding of public education and public research, with deportations and surveillance -- is more trauma, more loss, more grief. There is no silver lining here, as Yiyun Li reminds us, as much as that's offered as some tepid consolation.

Grief, to reiterate, involves a loss of identity, a loss of the future -- how we imagined things would be, who we imagined we'd become. And there is no good way to say this: it will get worse. And grief doesn't get any easier -- not with the passage of time, not with the number of times one experiences it.

There is no good way to say this. And yet we must always try.

I can only say this, and it's not good, it's not sufficient. It's not really a satisfying way to wrap up this talk. But here we go...

Grief is an expression of love. We grieve because we love, and that love does not end with death. I grieve for my son. I will grieve forever. I grieve for the future we will not share.

When I talk to teachers and students alike, I hear such grief as well: grief about what AI threatens to do education, what it's already done to the work of teaching and the work of learning, the work of research and reading and writing.

We grieve because we love. We grieve because we care. We grieve because we know that the machines do not, and that the community we try to foster -- on campus, in the classroom, in our scholarly works -- is threatened with erasure. We grieve because we fear forgetting; we worry that people will forget what is beautiful and what is difficult and what is joyous and what is horrible about education. We worry that, if we do not grieve, we give up the struggle to go on, to persevere, to live.

But we do not, we should not grieve alone. We should not be made to feel alone, feel crazed by our grief, feel crazed for grieving. We can, we should grieve together, grieve in public, grieve in protest. Such is comfort – "com" + "fort," a word that means "with" + "strength."

Technologies are often wielded in ways meant to imply that humans are weak, messy, slow, stupid, replaceable.

We are strong, messy, awkward, flawed, irreplaceable. All of us.

Our strength comes, in part, from this vulnerability, from our humanity. Together in the flesh. Not isolated, individualized thru some algorithm. We cannot allow systems and practices and machinery to foreclose this humanity, to automate the decisions, the expressions, the explorations that we turn to and that we struggle with in education, in this imperfect but liminal space of learning.

"There is no good way to say this" but to say this: AI is the antithesis of education. It is the antithesis of the future. As such, it is a kind of epistemological death, and I recognize -- thanks to capitalism and neoliberalism and imperialism and racism -- we have long been surrounded by such efforts; we are grieving already. And yet, we go on.

One final note that I think I'd be remiss not to state, even though there is no good way, or rather no polite way to say this:

Some men (and I do mean mostly men) would rather spend trillions of dollars on an idea that is financially, technologically, morally, and environmentally unsustainable, they’d rather destroy democracy and destroy education and destroy the planet than just get therapy.

Thank you."]]></description>
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<item rdf:about="https://bayareacurrent.com/fuck-waymo-long-live-kitkat/">
    <title>Fuck Waymo, Long Live KitKat</title>
    <dc:date>2025-11-09T21:49:36+00:00</dc:date>
    <link>https://bayareacurrent.com/fuck-waymo-long-live-kitkat/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["A self-driving car killed a beloved SF cat. It’s part of a long history of tech companies using the Bay as a testing ground at our expense. People have had enough."

[See also:

"KitKat, liquor store mascot and ‘16th St. ambassador,’ killed — allegedly by Waymo
Neighbors blame autonomous vehicle for Mission District bodega cat’s death in only-in-San-Francisco tragedy"
https://missionlocal.org/2025/10/kitkat-mission-liquor-store-mascot-and-16th-st-ambassador-killed-on-monday/

"Death of beloved neighborhood cat sparks outrage against robotaxis in San Francisco
KitKat, affectionately known as ‘mayor of 16th Street’, was struck and killed by a Waymo in the city’s Mission District"
https://www.theguardian.com/us-news/2025/nov/05/san-francisco-waymo-kitkat-cat-death

"Waymo confirms its car killed KitKat, the Mission bodega cat"
https://missionlocal.org/2025/10/waymo-confirms-its-car-killed-kitkat-mission-bodega-cat/

"KitKat killing drives experts to say Waymo must come clean
Supervisor Fielder, Teamsters call for county-by-county voting on robotaxis"
https://missionlocal.org/2025/11/kitkat-killing-drives-experts-to-say-waymo-must-come-clean/

"How a cat named KitKat became San Francisco’s latest symbol of anti-tech rage"
https://www.sfchronicle.com/sf/article/waymo-killed-cat-21138679.php

"A Robotaxi Killed a Beloved Bodega Cat in San Francisco. People Are Pissed
KitKat, known as the “Mayor of 16th Street,” was killed by a Waymo cab last week, sparking calls for more regulation of driverless cars"
https://www.rollingstone.com/culture/culture-features/waymo-cat-san-francisco-driverless-taxi-1235459761/

"San Francisco’s KitKat: Killed by Waymo, commercialized by crypto
The cat, the myth, the meme coin."
https://sfstandard.com/2025/11/08/san-francisco-kitkat-waymo-meme-coin/ ]

[and Adam Lashinsky can fuck off:

"Never let a dead cat go to waste
A San Francisco supervisor is using the death of a kitty at the wheels of a Way"
https://sfstandard.com/opinion/2025/11/04/never-let-dead-cat-go-waste/ ]]]></description>
<dc:subject>sanfrancisco alexhanna waymo robotaxis gentrification bayarea safety bigtech technology transportation transit cars 2025 missiondistrict themission kitkat displacement urban urbanism google apple facebook genentech googlebuses publictransit oakland sunyvale menlopark mountainview cupertino 2014 2013 sfmta muni traffic siliconvalley abigaildekosnik kristinmiller cruiuse zoox tesla uber accountability elaineherzberg 2018 avs arizona tempe phoenix madeleineclareelish california safestreetrebel ice chinatown dispossession jackiefielder teamsters corporations corporatism adamlashinsky</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:78c07962d994/</dc:identifier>
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</item>
<item rdf:about="https://www.reuters.com/investigations/meta-is-earning-fortune-deluge-fraudulent-ads-documents-show-2025-11-06/">
    <title>Meta is earning a fortune on a deluge of fraudulent ads, documents show | Reuters</title>
    <dc:date>2025-11-07T17:42:19+00:00</dc:date>
    <link>https://www.reuters.com/investigations/meta-is-earning-fortune-deluge-fraudulent-ads-documents-show-2025-11-06/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Meta projected 10% of its 2024 revenue would come from ads for scams and banned goods, documents seen by Reuters show. And the social media giant internally estimates that its platforms show users 15 billion scam ads a day. Among its responses to suspected rogue marketers: charging them a premium for ads – and issuing reports on ’Scammiest Scammers.’"]]></description>
<dc:subject>meta facebook scams instagram 2025 markzuckerberg profit profits revenue socialmedia ads advertising scamads</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:e19c79d103f6/</dc:identifier>
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</item>
<item rdf:about="https://unlimitedhangout.com/2025/11/investigative-reports/cold-harbor-eugenics-epstein-and-big-tech/">
    <title>Cold Harbor: Eugenics, Epstein and Big Tech</title>
    <dc:date>2025-11-06T21:51:40+00:00</dc:date>
    <link>https://unlimitedhangout.com/2025/11/investigative-reports/cold-harbor-eugenics-epstein-and-big-tech/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In the recent cache of Jeffrey Epstein emails unveiled by Bloomberg, Epstein’s connections to the elites of academia illuminate his interest in transhumanism, or neo-eugenics — a philosophy that has become commonplace among Big Tech oligarchs and ruling class elites. Shaping the development of pharmaceutical products, inspiring emergency-based deregulation and dovetailing with the expansion of the biomedical surveillance state, the material implications of this belief system are consequential and widespread."]]></description>
<dc:subject>maxjones 2025 eugenics jeffreyepstein deregulation peterthiel tescreal transhumanism extropianism singularitarianism singularity cosmism rationalism effectivealtruism pharmaceuticals bigtech ologarchy nerdreich philosophy davidgalton nicholasagar racism supremacy humangenomeproject science waltergilbert jameswatson harvard georgechurch nebulagenomics dna biosciences colossalbiosciences cia lawenforcement surveillance psychology biology economics beauty data stephenkosslyn edgefoundation larrypage elonmusk craigventer spacex nih longevity longtermism bariweiss paypal palantir jimo'neill aging alexandercoville stanford aubreydegrey valarventures carbyne911 jpmorgan bryanjohnson markzuckerberg sergeybrin jeffbezos larryellison zionism breakthroughprize death dying ideology kimbalmusk nicoleshanahan rfkjr robertkennedyjr overpopulation tesla billgates gatesfoundation martinnowak population barackobama elkhonongoldberg yannlecun reginadugan dapa facebook meta google wellcomeleap health coldharbor mkultra ericschmi</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:a250a1bfeb47/</dc:identifier>
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<item rdf:about="https://www.theverge.com/ai-artificial-intelligence/812906/ai-agents-cheating-school-students">
    <title>Tech companies don’t care that students use their AI agents to cheat | The Verge</title>
    <dc:date>2025-11-04T18:49:05+00:00</dc:date>
    <link>https://www.theverge.com/ai-artificial-intelligence/812906/ai-agents-cheating-school-students</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Cheating just got a lot easier with AI agents."]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=vBWdYrO6y_E">
    <title>Artist Jon Rafman sees AI as both tool and terror - YouTube</title>
    <dc:date>2025-11-04T18:45:02+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=vBWdYrO6y_E</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["“This messy keyboard is a metaphor for our existence.”

We interviewed Jon Rafman about his groundbreaking work, which takes a critical look at the internet and how it has evolved from a free space to one dominated by surveillance.

”I've always been in search of ways to communicate with as many people as possible using a language that feels fresh. And when the internet emerged, it came up with new languages, new ways of communicating. There was a sense of excitement, as well as a certain idealism. It felt like I was part of an active community that was in dialogue with each other.”
 
”You think you know the world, and then you find a world inside the world, and then a world within that, and it just goes on and is literally impossible to conceive. This was the sort of excitement – the possibility of these new worlds to explore, be it in Google Street View, but also in Second Life.”

Over the years, however, the internet has undergone a significant transformation, shifting from a multitude of niches to being dominated by a few large companies. It became more ”Kafkaesque than even Kafka”, says Rafman, especially with the recent developments in AI:

”AI is just as a tool, like the photograph and the film camera and the printing press, I think it's a really incredible tool for artists. I'm not praising it, I think there's a sense in which it's terrifying. The people constructing these algorithms don't know the long-term effects they will have on society and our children. And just like Google Streetview, it's owned by this one corporation, but like the internet as a whole, we all can surveil each other and police each other also.”

Jon Rafman (b. 1981 in Montreal) is a Canadian artist and filmmaker recognised for his innovative use of digital media to explore themes of memory, identity, and the complexities of contemporary culture in the age of technology. Rafman gained prominence through his work that frequently combines photography, video, and virtual reality, creating immersive experiences that challenge perceptions of reality and digital interaction. His artistic practice often explores the intersection between the virtual and the physical, examining how digital environments influence human experience.

Through his explorations of virtual worlds, Rafman raises critical questions about nostalgia, surveillance, and the impact of technology on society. His work often blends humour with melancholy, providing a nuanced perspective on the human condition in an increasingly digital landscape.

Rafman has exhibited internationally in prestigious institutions, including the Museum of Modern Art (MoMA) in New York, the Palais de Tokyo in Paris, the Barbican Centre in London, and the Louisiana Museum of Modern Art in Denmark. His contributions to contemporary art have solidified his position as a leading voice in the discourse surrounding digital media and its implications for modern society. By continuously pushing the boundaries of artistic expression through technology, Jon Rafman invites viewers to reconsider their relationship with the digital world.

Jon Rafman was interviewed by Marc-Christoph Wagner in October 2025. The conversation took place at the Louisiana Museum of Modern Art in Humlebæk, Denmark, on the occasion of Rafman’s exhibition, “Report a Concern.”"]]></description>
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<item rdf:about="https://reutersinstitute.politics.ox.ac.uk/news-creators-influencers/2025/mapping-news-creators-and-influencers-social-and-video-networks">
    <title>Mapping news creators and influencers in social and video networks | Reuters Institute for the Study of Journalism</title>
    <dc:date>2025-11-01T16:40:21+00:00</dc:date>
    <link>https://reutersinstitute.politics.ox.ac.uk/news-creators-influencers/2025/mapping-news-creators-and-influencers-social-and-video-networks</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["News creators and influencers operating in social and video networks have become a significant source of news in recent years. Our own Reuters Institute Digital News Report indicates that personalities and news creators often eclipse traditional news brands in terms of attention when using certain social and video networks (Newman et al. 2023, 2024, 2025). Pew Research finds that around a fifth (21%) of adults in the United States (US) and more than a third of Under-30s (37%) now regularly get news from so-called creators or influencers, with the majority of these saying that the way these personalities present the news helps them better understand current events and civic issues (Stocking et al. 2024).

Creators are also having an increasingly important political impact, with Donald Trump courting popular YouTubers and podcasters such as Joe Rogan and the Nelk Boys in the run-up to his 2024 election victory. The recent murder of activist and podcaster Charlie Kirk, and the coverage of the aftermath, reminds us of the critical role these personalities are now playing in shaping both public opinion and political narratives. In other parts of the world, politicians such as Emmanuel Macron (France),1 Anthony Albanese (Australia),2 Claudia Sheinbaum (Mexico),3 and Keir Starmer (UK)4 have also been taking notice of these trends, incorporating social media influencers into their media strategies, prioritising interviews with TikTokkers and YouTubers – as well as inviting them to government briefings. Elsewhere, in countries where press freedom is under threat or where debate in mainstream media is restricted, we have seen creators and influencers playing a different role – providing a much-needed source of critical or alternative views.

Online influencers may be attracting more attention but at least some of their content is considered unreliable by audiences (Newman et al. 2025), with well-documented cases of false or misleading information around subjects such as politics, health, and climate change raising important questions about what this might mean for our democracies.

In this report we aim to show how the trend towards online and social media news influencers is developing in 24 countries around the world. Using an audience-based approach we identify countries where influencers are having the biggest (and smallest) impact as well as some of the most important individuals. We also provide an emerging typology or categorisation of news creators, while recognising the inherent difficulties in this process given the diversity of styles, overlapping approaches, and broad range of content.

After explaining the methodology and typology, this report contains an opening section that summarises the overall findings. This is followed by 24 individual country sections where we highlight the news creators most mentioned by audiences in our Digital News Report surveys, the main networks used, and a few other characteristics of each market. The final section draws some conclusions and references other emerging work in this area."

[via:
https://www.theverge.com/news/812078/the-reuters-institute-developed-a-typology-of-news-influencers ]]]></description>
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    <title>We Used to Read Things in This Country | Noah McCormack</title>
    <dc:date>2025-10-31T22:14:02+00:00</dc:date>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["The history of literacy is the history of class"]]></description>
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<item rdf:about="https://thebaffler.com/odds-and-ends/brain-rot-without-borders-forum">
    <title>Brain Rot Without Borders | Baffler Forum</title>
    <dc:date>2025-10-31T21:29:33+00:00</dc:date>
    <link>https://thebaffler.com/odds-and-ends/brain-rot-without-borders-forum</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Dispatches from a postliterate world"]]></description>
<dc:subject>2025 brainrot literacy postliteracy howweread reading chatgpt ai artificialintelligence internet web online socialmedia nicolásmedinamora zhangtueran jeremytiang china kimhyesoon jacksaebyokjung korea us poetry alainmabanckou helenstevenson france writing howwewrite yassinadnan alextan arabworld middleeast northafrica illiteracy islam morocco language tiktok facebook whatsapp instagram translation abdelazizbarakasakin lemyashammat sudan arabic valeriavillalobosguízar emforster mexico annettehug ukraine gemini post-literacy</dc:subject>
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<item rdf:about="https://www.phoenixprojectnow.com/phoenix-review/blog/crypto-chiefs-and-authoritarianism">
    <title>Crypto Chiefs and Authoritarianism - The Phoenix Project</title>
    <dc:date>2025-10-31T19:43:34+00:00</dc:date>
    <link>https://www.phoenixprojectnow.com/phoenix-review/blog/crypto-chiefs-and-authoritarianism</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["A statue of Prometheus has been proposed for Alcatraz. The monument to the Titan would be 450 feet — larger than the Statue of Liberty which stands at a mere 305 feet — and is planned as a tribute to American exceptionalism, no matter that the island is a sacred site for the Lisjan Ohlone people.

The story of Prometheus is one of hubris: He defied the gods to give man fire only to be punished by having his liver eaten by an eagle. Denver crypto chief Ross Calvin seems unbothered by the message the statue could send. He’s asked President Donald Trump to fund its construction, estimated at $450 million, or about about $1 million a foot. Last year, Calvin created the nonprofit American Colossus Foundation to promote projects like that of the giant Prometheus.

It would be easy to dismiss Calvin’s plans as those of a lone crank. However, respected art historian Erica Doss says the tech elite are obsessed with neoclassical forms, calling it a chapter “right out of the fascist playbook. Name an autocracy that doesn’t have a neoclassical obsession.”

Much has been written about Silicon Valley’s dramatic shift to the right. Previous generations of tech executives had been, for the most part, reliable Democrats, albeit with libertarian leanings. A younger group has fully embraced Trump, among them billionaires Marc Andreessen, Elon Musk and Peter Thiel. Even those whose support had originally been tepid, like Facebook founder and Meta chief Mark Zuckerberg, have set aside reservations and cozied up to the new president.

Nowhere has the move to the right been more pronounced than among executives in the cryptocurrency industry. Andreessen, an enthusiastic crypto investor, has been a regular guest at Mar-a-Lago, advising the president on policy and personnel. Garry Tan, an early investor in Coinbase, has publicly expressed the belief that Trump’s election would result in a tech renaissance, one that would see as many as 1500 startups created each year.

Fairshake, a crypto political action committee, became the dominant Super PAC in the 2023-2024 election cycle spending nearly $200 million to defeat crypto critics like Senator Sherrod Brown of Ohio and Jon Tester of Montana. Coinbase, led by leading Trump supporter Brian Armstrong,  has been the top contributor to Fairshake, donating $25 million in the first half of 2025 alone, half the sum it raised during the same period to elect crypto- and Trump-friendly candidates.

Ripple Labs, a crypto firm founded by San Francisco billionaire Chris Larsen, was the top technology donor to Trump’s lavish $239 million inauguration fund. Ripple and Coinbase have been among the companies that have donated to Trump’s destruction of the White House’s East Wing in order to build a ballroom.

Trump, who values loyalty above all, has amply rewarded the tech industry’s support, appointing crypto-friendly regulators and all but eliminating regulations on the fledgling industry. He’s gone further, dropping investigations into crypto firms and crypto crime and tapping billionaire tech investor David Sacks, a generous donor to his campaign, as the White House’s first crypto and artificial intelligence czar. 

In a largely symbolic gesture, Trump recently pardoned Changpeng Zhao, the founder of Binance, the world’s largest crypto currency exchange. Zhao had been sentenced to 4 months in prison after pleading guilty to failing to maintain an effective anti-money laundering effort at Binance. Trump maintained that the crypto chief “had a lot of support” from those who believed in his innocence. The more plausible explanation is that Zhao’s and Trump’s business dealings are enmeshed. Once a crypto skeptic, the president has become a crypto entrepreneur, investor, and booster, doing his part to rehabilitate an industry plagued by irregularities and bad press.

Trump shares a sensibility with crypto executives. Like them, he has a monumental drive toward self-interest and an impulse toward authoritarianism. Andreessen associate Balaji Srinivasan, a former executive at Coinbase, has promoted a scheme called the Network State in which tech elites abandon democracy to form their own sovereign states. Notably, the coin of these realms would be cryptocurrency. Srinivasan’s program, strange as it may sound, has attracted enthusiastic support from leading tech figures like Andreessen, Tan and billionaire tech investor Michael Moritz.

Politically active crypto chiefs Larsen and Jesse Pollak have pushed  more traditional forms of authoritarianism. Nationally, Larsen has donated to political candidates who hold regulators at bay, specifically to evade consumer protection laws in place since the Great Depression. Larsen has become a top political donor in San Francisco where he has funded various law-and-order initiatives including two 2024 ballot measures, one that tied welfare payments to proofs of sobriety and another that expanded the police department’s use of surveillance.

More recently, he spent nearly $10 million on the SFPD’s Real-Time Investigation Center, which collects and analyzes surveillance data gathered by cameras scattered throughout the city, many of which he  donated. The center is in an office building leased by Larsen’s company and owned by Trump, raising questions about Mayor Daniel Lurie’s creation of a public-private partnership able to evade the oversight of a traditional government agency.

Pollak, a Coinbase executive, poured about $400,000 into recent Oakland elections, through Abundant Oakland and Families for a Vibrant Oakland. The money was used to promote candidates who pursued a narrative of a crime-ridden city, despite statistics that proved otherwise. They promoted increased policing to combat drug use and homelessness, two social ills that have proven impervious to harsh discipline.

After dozens of Confederate memorials and statues were removed in recent years, monuments to American power are, again, having a moment. Trump has promised to build a National Garden of American heroes that will include statues of figures as diverse as George Washington, Billy Graham and Elvis Presley. Trump’s plan is likely to have no greater fans for his tribute to American exceptionalism than the crypto executives who share the president’s authoritarian tendencies."]]></description>
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<item rdf:about="https://www.wired.com/story/ai-pr-ed-zitron-profile/">
    <title>Ed Zitron Gets Paid to Love AI. He Also Gets Paid to Hate AI | WIRED</title>
    <dc:date>2025-10-27T19:11:52+00:00</dc:date>
    <link>https://www.wired.com/story/ai-pr-ed-zitron-profile/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["He’s one of the loudest voices of the AI haters—even as he does PR for AI companies. Either way, Ed Zitron has your attention."]]></description>
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<item rdf:about="https://www.nytimes.com/2025/10/25/opinion/big-tech-platforms-reform.html">
    <title>Opinion | Big Tech’s Predatory Platform Model Doesn’t Have to Be Our Future - The New York Times</title>
    <dc:date>2025-10-26T03:59:47+00:00</dc:date>
    <link>https://www.nytimes.com/2025/10/25/opinion/big-tech-platforms-reform.html</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["There was a time, back in the early 2000s, when everyone seemed to think that the internet would make everybody rich.

The vision was compelling, if a little naïve. The internet, optimists argued, would allow individuals and small sellers to reach a global market of customers at low cost and without the need for big retailers. Increased connectivity would also make it easier for people to find work, invest money and learn new skills. Thanks to platforms like eBay, the future belonged to the Davids, not the Goliaths. “Small is the new big” was a popular slogan during those heady years.

The prediction turned out to be wrong. Yes, platforms like Amazon and Google have generated immense wealth and transformed society. But the money and power have not been broadly distributed. Instead, the platforms have captured the lion’s share for themselves, leading to concentrations of wealth that hark back to the Gilded Age. The Davids of the world ended up working hard to make a new set of Goliaths rich.

But we can still recover that early optimism and promise of opportunity. While we can’t start over from scratch, we can — with the right laws and policies — begin to reclaim the potential of the internet-based economy, shifting its center of gravity to encourage and reward the activities and innovations of the many instead of the few. This is a prescription for an economy that is fairer — and more dynamic, too.

No one can deny that the big tech platforms have become essential, the default infrastructure of much economic activity. But being essential should not entail an unfettered power to extract wealth from everyone else.

This is hardly a new lesson. To operate smoothly, economies have long depended on essential platforms, be they city markets, Main Streets or infrastructure like railroads and bridges. In the early 19th century, the Charles River Bridge, a private toll bridge in Boston, was so critical to local commerce that it was among the most profitable businesses in the United States. In a similar fashion, American farmers later became completely dependent on the railroads.

Historically, the government has imposed limits on how much money the platforms could take from the people and businesses that relied on them — and on how readily they could leverage their indispensability to their advantage. These limits were imposed not to constrain economic growth but to foster it: They protected the incentives for other economic actors to invest and build on the platforms. Such policies also ended up distributing wealth more equitably across social classes and geographic regions.

If left unchecked, a platform’s “take” impedes growth, as we are seeing today. Last year, Amazon charged private sellers, on average, between 50 and 60 percent of their sales in fees, according to the research firm Marketplace Pulse. You don’t need a degree in economics to see how that can discourage investment and innovation. Nearly every business in nearly every sector of the economy must now confront how much of its returns it will have to share with one platform or another. It’s effectively a system of private taxation.

Congress, despite endless hearings and plenty of big talk, has failed to enact even basic protections for small and medium-size businesses in their dealings with the internet platforms. Such protections, which have ample precedent in the law, should include requiring neutrality (so that platforms can’t favor certain sellers), forbidding special treatment for one’s own products (so that Amazon can’t prioritize its line of bath towels or HDMI cables when you search for those items) and allowing for certain forms of collective bargaining (so that news organizations, for example, can band together to pressure Google to pay more for news content).

Would these kinds of laws stifle economic growth or hurt the internet economy? According to industry lobbyists, libertarian think tanks and even some progressives concerned about the left’s penchant for overregulation, the answer is yes. They argue that regulation necessarily diminishes incentives to build. But that argument overlooks a key point: Limiting the platforms’ take also creates incentives to build and can effectively subsidize innovation.

History supports this conclusion. The golden ages of American building — the canal age, the railroad age, the electricity age — all featured flourishing economies that ran on neutral network infrastructure. No one in midcentury America denied the usefulness of electricity or the need to invest in electrification. But the assumption was not that an electric utility like ConEd should therefore be able to charge whatever it liked, in exchange for our trust that it would invent the future. Instead, electric utilities were regulated and innovation was left to the countless smaller inventors that used electricity in their products — such as the creators of the microwave oven, the laser and the personal computer.

It is simply too risky to count on just a few platforms to invent our future. Yet that is the bet we are making by sitting back and letting Google, Amazon and Facebook dominate.

Making matters worse, the platform-extraction model is now spreading from tech to other economic sectors. In health care, private equity firms have sought to reorganize the industry into what they openly call a platform model. What that means in practice is squeezing more work from doctors and nurses while raising prices. Likewise, rental housing has suffered from the rise of a corporate-housing platform: the centralizing of rental homeownership along with steady increases in rents.

The result is not just bad policy but also a cultural blindness: An entire generation has grown up thinking that extraction, as opposed to building, is the path to riches. That is a prospect at once uninspiring and, for most people, almost by definition, out of reach. To recover the sense of optimism and opportunity that once characterized American commerce, Americans need to be confident that — even if they don’t work for a platform — they can reap what they sow.

Restoring market balance is the key: an economy with many centers of power, not just a few. We need to return to an older and truer vision of prosperity, one in which many companies in many industries and in many regions are important sources of wealth. That would give us a fairer and more dynamic economy — and give a new generation some hope."]]></description>
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<item rdf:about="https://chrishedges.substack.com/p/the-rise-of-the-thielverse-and-the">
    <title>The Rise of the Thielverse and the Construction of the Surveillance State (with Whitney Webb) | The Chris Hedges Report</title>
    <dc:date>2025-10-26T00:54:11+00:00</dc:date>
    <link>https://chrishedges.substack.com/p/the-rise-of-the-thielverse-and-the</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Whitney Webb traces the Thielverse’s rise and the bipartisan construction of the modern surveillance state that Trump and his benefactors are deploying against dissidents and immigrants today."

...

"The descent into a new, mutated and technology-focused form of American fascism is already here. Those who have kept track of the rise of the Thielverse, which includes figures such as Peter Thiel, Elon Musk and JD Vance, have understood that an agenda to usher in a unique form of authoritarianism has been slowly introduced into the mainstream political atmosphere.

Whitney Webb, investigative journalist and author of One Nation Under Blackmail, joins host Chris Hedges on this episode of The Chris Hedges Report to document the rise of this cabal into the most powerful positions of the American government.

“I think now it’s quite clear that this is the PayPal Mafia’s moment. These particular figures have had an extremely significant influence on US government policy since January, including the extreme distribution of AI throughout the US government,” Webb explains.

It’s clear that the architects of mass surveillance and the military industrial complex are beginning to coalesce in unprecedented ways within the Trump administration and Webb emphasizes that now is the time to pay attention and push back against these new forces.

If they have their way, all commercial technology will be completely folded into the national security state — acting blatantly as the new infrastructure for techno-authoritarian rule. The underlying idea behind this new system is “pre-crime,” or the use of mass surveillance to designate people criminals before they’ve committed any crime. Webb warns that the Trump administration and its benefactors will demonize segments of the population to turn civilians against each other, all in pursuit of building out this elaborate system of control right under our noses."

[direct link to video:
https://www.youtube.com/watch?v=Um-TVmzzK_g ]]]></description>
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    <title>&quot;Enshittification&quot;: Cory Doctorow on Why Big Tech Sucks, Keeps Getting Worse &amp; What to Do About It - YouTube</title>
    <dc:date>2025-10-11T04:14:49+00:00</dc:date>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["Writer Cory Doctorow returns to Democracy Now!_to discuss his new book "Enshittification," which explores the term he coined in 2022 to describe how online platforms like Facebook degrade over time as companies seek to maximize profit at the expense of their users, and it has since become shorthand for describing a pervasive sense of dropping standards across various aspects of modern life."

[transcript:
https://www.democracynow.org/2025/10/10/cory_doctorow ]]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=yHMGb-dLfOU&amp;t=1s">
    <title>Fighting San Francisco's Manhattanization with Tim Redmond - YouTube</title>
    <dc:date>2025-10-08T20:56:00+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=yHMGb-dLfOU&amp;t=1s</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Welcome to another episode of the Doomloop Dispatch, the news show covering the worst parts of the San Francisco Bay Area. In this episode, Kevin and D Scott talk to Tim Redmond, editor of the 48 Hills and former executive editor of the Bay Guardian. We get into Tim’s reporting on the recall of San Francisco supervisor Joel Engardio and his thoughts on Engardio’s replacement. We also talk about how real estate speculation destroyed the city and the state of local legacy media. Really good stuff!

Sources

All of Tim’s stories in 48Hills
https://48hills.org/author/tim/

Here’s what Scott Wiener has done
https://48hills.org/2025/09/heres-what-scott-wiener-has-done/

The Engardio recall, Yimby urbanist elitism, and the next step in SF politics
https://48hills.org/2025/09/the-engardio-recall-yimby-urbanist-elitism-and-the-next-step-in-sf-politics/

The Engardio recall and the failure of conservative politics in SF
https://48hills.org/2025/09/the-engardio-recall-and-the-failure-of-conservative-politics-in-sf/

Strange (and maybe inappropriate) actions at the Planning Commission …
https://48hills.org/2025/09/strange-and-maybe-inappropriate-actions-at-the-planning-commission/

Bullshit opinion piece on Family Zoning plan
https://sfstandard.com/opinion/2025/09/21/small-business-lurie-upzoning-sharky-laguana-ben-bleiman/ "]]></description>
<dc:subject>sanfrancisco timredomnd joelengardio daniellurie doomloop doomloopdispatch crime 2025 yimby yimbyism yimbys nimby nimbyism transit publictransit infrastructure housing scottwiener recalls politics policy displacement rentcontrol media urbanurbanism urbanplannign denisty elections inequality taxes taxation eisenhower richardnixon history dwightdeisenhower construction profit profits marhetrateghousing vancouver britishcolumbia zoning aiboom aibubble artificialintelligence ai affordability opeanai chatgpt kevinjones dscotmiller salesforce speculation displacment ronaldreagan homelessness homeless gentrification socialsafetynet sros redevelopment neoliberalism economics california us publichousing 1960s developers housingcrisis affrodability nyc latecapitalism latestagecapitalism billclinton joebiden barackobama race racism reaganism irs data coyotemedia soleilho planning vienna socialhousing donaldtrump taxrate stockholm cities finance socialism universityofcalifornia wealth socialservices publicgood productivi</dc:subject>
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<dc:identifier>https://pinboard.in/u:robertogreco/b:cef0764ac7f4/</dc:identifier>
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