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    <title>The Richest Country Is Pretty Mid Now - YouTube</title>
    <dc:date>2026-06-28T22:50:35+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=4FZy1lBNykA</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[""Leveragism" is a term I made up, and it describes what the American economy is increasingly heading towards. As you will see, this is really bad news. 

0:00 - About Capitalism
3:53 - Political Leverage
6:01 - The Gold Trap
8:00 - The Rug Pull
11:34 - The Bond Trap
15:23 - Classical Leverage
19:00 - Debts R' Us
20:32 - AI Circlejerk
22:45 - My Awesome Trip To Israel 
29:09 - Authoritarian Leverage
35:01 - Siphoning Your 401K
39:02 - Time and the Smokescreen of Numbers"]]></description>
<dc:subject>bennjordan leveragism capitalism internet online google gemini ai artificialintelligence aibubble journalism rugpulls authoritarianism elonmusk donaldtrump spacex israel gaza anarchism economics economy integrity finance ip intellectualproperty well-being wellbeing precarity gold debt politics us bigtech spotify suno streaming law legal happiness fuckyoumoney inequality money labor wealth laborreflexivity growth borders border privateequity libertarianism tescreal nerdreich peterthiel billackman rulingclass transhumanism extropianism singularitarianism singularity xenophobia inflation extraction rationalism oligarchy larryellison markzuckerberg jeffbezos effectivealtruism longtermism governance government democracy poverty work police policing iranwar austerity retirement maga trumpism muskism wallstreet stockmarket nasdaq indexfunds 401k leverage power policy autonomy obesity surveillance survival fear ice bronnieware life living courage death guatemala coca-cola unions wisdom pollution environment humanrigh</dc:subject>
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    <title>Coding Kids: Big Tech's Battle to Remake Public Schools, by Natasha Singer (2026) | W. W. Norton &amp; Company</title>
    <dc:date>2026-06-27T04:38:20+00:00</dc:date>
    <link>https://wwnorton.com/books/9780393881943/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The inside story of how Big Tech catalyzed, co-opted, and ultimately came to capture computer science and AI education in America.

Fourth graders doing Google-branded coding lessons. Amazon schooling seventh graders on its warehouse robots. Advanced Placement computing courses from Microsoft and Apple. Many educators and parents would object if Exxon wrote their school’s climate curriculum—or if schools assigned nutrition lessons from Coca-Cola and McDonald’s. Yet today, tech giants influence nearly every step of the education supply chain. They provide the classroom devices and software many students use to do assignments. They sell schools on the latest artificial intelligence tools. And increasingly, tech companies are launching their own corporate-branded school curricula, shaping how and what millions of children learn.

In recent years, the tech industry has helped spread computer science and AI education in schools at astonishing speed and scale. In Coding Kids, award-winning New York Times journalist Natasha Singer draws on a decade of reporting to reveal how tech titans used the promise of coding (high-paying jobs! change the world!) to weave rosy industry visions of technology into the very fabric of American education, sometimes sidelining crucial ideas like civics and critical thinking. Along the way, Singer takes readers through the powerful playbook Big Tech used to scale coding lessons nationwide. Then she shows readers how tech companies are now applying the same playbook to mainstream their AI tools in schools.

A revelatory account of the powerful forces shaping education and our kids’ futures, Coding Kids also offers hope. It tells the compelling stories of pioneering teachers fighting for a broader vision of tech education—one that not only teaches kids algorithms and app-making, but also asks students to grapple with the societal impacts of tech giants and their disruptive digital tools."]]></description>
<dc:subject>edtech bigtech schools schooling 2026 google apple computing computers chromebooks microsoft ai artificialintelligence llms natashasinger coding algorithms</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:3300f0a7481b/</dc:identifier>
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</item>
<item rdf:about="https://www.economist.com/briefing/2026/06/11/forget-the-world-cup-culture-is-becoming-more-fragmented">
    <title>Forget the World Cup. Culture is becoming more fragmented</title>
    <dc:date>2026-06-14T09:36:30+00:00</dc:date>
    <link>https://www.economist.com/briefing/2026/06/11/forget-the-world-cup-culture-is-becoming-more-fragmented</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Farewell to the monoculture"

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

via:
https://social.ayjay.org/2026/06/13/the-economist-it-might-seem.html ]

"It might seem surprising, in a world of global stars, that the 6m Danes, many of whom are fluent in English, listen mainly to homegrown music. And until fairly recently they did not. In 2019 only five songs in Denmark’s top 20 were in Danish. By last year the figure was 18.

A similar trend is under way in other countries — and in other forms of entertainment. From Asia to the Americas, music charts are increasingly dominated by local sounds. Hollywood television-streaming companies are commissioning more local productions in foreign markets, causing consumption of American shows to fall. Social networks are connecting the whole world, but so far people are mainly using them to consume local content. And as video gaming expands, it too is becoming increasingly tailored to local cultures."

...

"In music, video and interactive entertainment, global tech platforms have made it easier than ever to distribute entertainment around the world. Yet the sheer abundance of content that these platforms have helped to generate means that, more than ever, global audiences are able to assert distinctively local preferences."]]></description>
<dc:subject>culture decentralization 2026 diversity denmark monoculture music language languages tv television film streaming latinamerica nigeria southafrica france germany italy poland willpage chrisdallariva worldcup attention videogames games gaming brazil brasil philippines indonesia thailand norway portugal ireland australia india czechrepublic dubai greece mexico middleeast africaeurope netflix asia larrytanz turkey türkiye southkorea korea christopherhamilton canada alexandregoncalves yeemanmargaretng youtube hindi matthewball xbox microsoft china japan manurosier newzoo garena singapore apple google roblox sensortower fortnite joostvandreunen entertainment</dc:subject>
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</item>
<item rdf:about="https://www.wheresyoured.at/premium-the-silicon-valley-bubble-part-1/">
    <title>Premium: The Silicon Valley Bubble (Part 1)</title>
    <dc:date>2026-06-13T01:52:19+00:00</dc:date>
    <link>https://www.wheresyoured.at/premium-the-silicon-valley-bubble-part-1/</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>2026 edzitron siliconvalley technology ai aibbubble artificialintelligence aihype anthropic opeanai samaltman ipos johncarpenter danielaamodei broadcom google markzuckerberg elonmusk darioamodei llms facebook meta microsoft oracle amazon economics</dc:subject>
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</item>
<item rdf:about="https://www.thebignewsletter.com/p/what-would-it-look-like-if-the-ai">
    <title>What Would It Look Like If the AI Bubble Popped?</title>
    <dc:date>2026-06-12T00:31:48+00:00</dc:date>
    <link>https://www.thebignewsletter.com/p/what-would-it-look-like-if-the-ai</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[[See also:
https://cepr.net/publications/ai-bubble-monitor/ ]]]></description>
<dc:subject>mattstoller ai artificialintelligence aibubble bubbles finance 2008 globalfinancialcrisis greatrecession dotcombubble dotcombust investment stockmarket wallstreet nvidia google meta realestate economics crisis siliconvalley siliconvalleybank banks banking zohranmamdani federalreserve covid-19 coronavirus pandemic regulation deregulation newdeal greatdepression us deanbaker sarahmyserswest spacex ipos larrysummers robertrubin barackobama debt gigeconomy crypto cryptocurrencies jpmorgan florida housing datacenters taiwan southkorea korea consumers consumption wealtheffect privateequity ponzischemes berniemadoff donaldtrump fdic utlities politics openai samaltman amazon microsoft china hankpaulson japan russellsimmons fintech johnkennethgalbraith embezzelment</dc:subject>
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</item>
<item rdf:about="https://isaiprofitable.com/">
    <title>Is AI Profitable Yet?</title>
    <dc:date>2026-06-07T20:48:15+00:00</dc:date>
    <link>https://isaiprofitable.com/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Tracking the spend and revenue of frontier AI companies (May 2026)."

...

"WHY I BUILT THIS

Many industry experts and companies claim AI profitability by 2030 is possible, so I wanted to see how close we really are. This site tracks cumulative spend versus revenue across most major AI companies in one place, allowing you to see approximately how much money is flowing into the industry and how far it is from breaking even.

I'll be updating these numbers monthly as new reports and financials drop. Perhaps one day, the big "NO" will become a "YES," and the question will finally be answered :). So far? The big winner is NVIDIA, who is receiving huge profits from the AI boom by positioning itself as the primary chip supplier to the AI sector.

HOW THE NUMBERS WORK

All figures are estimated cumulative totals (all-time). Because most of these companies are private, the numbers aren't exact; instead, they are built from leaked financials, SEC filings, earnings calls, and industry estimates from sources like Bloomberg, the WSJ, The Information, and Epoch AI (all referenced at the bottom). The punchline 'EVERYONE IS BROKE' is intentionally punchy, but shouldn't be taken absolutely literally.

The site includes both, big tech infrastructure spend and pure lab spending, hence why companies like Amazon and Google have huge spend figures compared to the pure labs like OpenAI or Anthropic (big AI investments, not much direct AI revenue yet). It's important to note that the site tracks whether AI investment specifically has broken even yet, not company-wide profitability, hence why companies such as Amazon and Google look so far in the red despite being hugely profitable companies as a whole.

Spend numbers include direct R&D costs, compute, and capital expenditure on AI infrastructure (data centres, chips, and networking). Capex is treated as spend despite having long-term asset value; this is intentional. The framing shows the sheer scale of capital being committed to AI before returns materialise, rather than smoothing it across a depreciation schedule. Indirect AI revenue (E.g. Google Search performance boosted by AI Overviews, or Microsoft Office revenue lifted by Copilot) is excluded because there is no reliable way to attribute what share of those gains AI is actually responsible for. The $/sec counters use current annual burn rates rather than historical averages, to reflect what's happening right now.

Revenue numbers are the trickiest to estimate due to a lot less information on them being readily available. Thus, the revenue figures here are mostly estimated and extrapolated off of ARR figures. Currently, I'd say these numbers are more optimistic than anything, but I will be refining this over time as more information comes out.

DISCLAIMERS

The AI economy is circular: Google funds Anthropic, Anthropic runs on Google Cloud, Amazon funds Anthropic, Microsoft co-invests with OpenAI. This means aggregate industry figures double-count some revenue flows. This site is one person's best effort at an honest picture, not a financial audit. If you have better sources, please reach out, I want to improve this site as much as possible every day :)."]]></description>
<dc:subject>ai artificialintelligence economy money business economics google anthropic circularfunding amazon microsoft openai nvidia deepseek cohereai mistralai xai spacex oracle meta</dc:subject>
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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.thebignewsletter.com/p/a-billionaire-explains-why-american">
    <title>A Billionaire Explains Why American Business Now Feels like the Mafia</title>
    <dc:date>2026-06-06T00:27:25+00:00</dc:date>
    <link>https://www.thebignewsletter.com/p/a-billionaire-explains-why-american</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In his autobiography "Born to Be Wired," Warner board member and billionaire John Malone describes how he helped turn America into a society focused on greed and market power."]]></description>
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<item rdf:about="https://2ndbreakfast.audreywatters.com/at-what-cost/">
    <title>At What Cost?</title>
    <dc:date>2026-06-05T09:42:43+00:00</dc:date>
    <link>https://2ndbreakfast.audreywatters.com/at-what-cost/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["“What Do I Need To Get Done That I Don't Have To Think About?” asks historian Timothy Burke, pondering about the sorts of “mindless tasks” he’s supposed to gleefully hand over to “AI.” “This rhetoric drives me nuts because it is frequently offered without concrete existing examples,” he writes. “It’s always a vague, futureward offer made with no evident knowledge about what it is that most people actually do in work or in everyday life. As if, perhaps, the pitch is coming from billionaires who don’t have to do anything tedious except perhaps to order all those kinds of tasks to be done.”

It is mind-boggling to me that anyone, but especially the teachers’ labor union, would argue that any work an educator does is “mindless” or menial, that any work an educator does is the kind of task that one should automate if they don’t want to have to think about it. I’m not saying that teachers aren’t overworked -- good grief. Rather, I want to remind people that software is not a substitute for the kind of structural change necessary to improve everyone’s lives, in and around the classroom.

The kinds of tasks that I hear teachers being encouraged to offload to “AI” -- grading, lesson planning, communication with students and parents, design of handouts and other classroom material, IEPs -- are actually constitutive of the very work. These tasks -- and yes, some of them can be burdensome, time-consuming, annoying as hell -- are how you come to know the content, the community, the classroom, yourself and others. Nothing about teaching and learning should be thoughtless or careless the way in which “AI” promises thoughtlessness and carelessness as-a-service. Education isn’t comprised of tasks that should be automated; this isn’t work that needs to be made faster and cheaper. Teaching and learning are not something to be optimized or engineered like machinery, turned into the very “factory model of education” that Silicon Valley has spent decades inventing and positioning against.

If we’re worried about what the push-button classroom will do to students, we should probably stop demanding teachers become button-pushers as well."]]></description>
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<item rdf:about="https://www.theverge.com/ai-artificial-intelligence/942629/as-ai-gets-better-it-reveals-an-empty-promise">
    <title>As AI gets better, it reveals an empty promise | The Verge</title>
    <dc:date>2026-06-03T19:45:38+00:00</dc:date>
    <link>https://www.theverge.com/ai-artificial-intelligence/942629/as-ai-gets-better-it-reveals-an-empty-promise</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["﻿Your new assistant can schedule a meeting but it can’t fix our broken world."

...

"This week we’ve got tandem hands-ons with Google’s new Gemini AI agent — Spark — from my colleagues David Pierce and Jay Peters. Their takeaways are similar: It’s so effective that it’s scary. Spark knew that David’s dog is named Frida and knew the first name of Jay’s wife, even though neither of them explicitly provided this information to Google. But what’s scary to me is how all of this stuff seems geared toward a future of “productivity” that completely misses what needs to be fixed in our world.

“Productivity” is often pitched as a panacea for what befalls us in our personal lives, even going so far as to implicate our moral worthiness when we are less productive. Productivity lives somewhere in the space between hustle culture and proverb: After all, “idle hands are the devil’s workshop.” I’m not suggesting we should all aspire to be bumps on a log, but we ought to see what we’re being sold for what it really is.

Contemporary tasks on computers have a tendency to feel both important and urgent all of the time, even if they’re not. We’re living under the unholy alliance of the “busy” trap and “software brain.” And that makes AI assistance seem super valuable! But that’s because the companies in charge of all this stuff are now trying to solve a lot of problems that they created. Google, Microsoft, Apple, and others have spent decades blurring the line between office life and personal life. This slow march toward ubiquitous productivity once led the French government to declare a “right to disconnect” from work when leaving the office. (Shame my American sensibilities still convince me that’s a bridge too far.)

As I read about Gemini Spark making it easy for my colleagues to color-code calendars and perform other neat tricks on command, I couldn’t help but vividly remember witnessing as a child all of the hours my mom had to spend carefully cutting coupons so we could afford groceries. Sometimes it got to the point where our living room looked like a giant experiment in collage art. All of that time was stolen from her and our family — for what? Maybe having an AI assistant in the ’90s could have helped find and organize the best deals, but it could never fix an economic system that required them in the first place.

Where does the productivity march end? The people making more money than God right now have professed a vision of a postwork future where robots do everything for us so we can enjoy life without toiling away in the mines. (Well, except for the content mines.) If you’ve seen Elon Musk’s failure bot, you’ll know this is all actually less Battlestar Galactica and more John Adams in his letter to Abigail: “I must study politics and war that my sons may have liberty to study mathematics and philosophy,” and so-on and so-on until the grandchildren can enjoy painting and poetry. So, ideally, after we slog through pre-transcendence, AI will make us all theater kids.

Meanwhile, Mark Zuckerberg is posting up his 387-foot yacht in a city where he just laid off a meaningful part of his workforce to offset his investments in AI. At least AI has freed up the time of these fired workers? I’d say good luck to them in Hollywood, especially because they’re trying to replace newly minted theater kids with AI-generated actors.

There’s a sinister tone lurking beneath some of these advancements in productivity, because the response to increased productivity has been one of the biggest scams of the past century. Well before consumer AI entered the scene, productivity exploded while wages failed to keep pace. Nobody is working less, they’re just earning less. And as more AI-related companies reap trillions in valuation, the current US regime is looting the social safety net — the kind that must exist if we’re all going to become out-of-work theater kids. You simply can’t look at these things separately. If the end result of private companies optimizing the workforce means nobody has to work, then we have to live in a society where people can still have a roof and a meal. Is anyone confident that will happen while leaders are cutting SNAP benefits while building taxpayer-funded ballrooms?

What good is an AI assistant that can help you plan a fun day if you can’t actually afford any free time in your life?

There has always been resistance to new advancements — so much so that the term “luddite” is still potent 200 years after English textile workers revolted against automation in their industry. The AI backlash is genuine, well-informed, and well-argued. Nonetheless, some of those new neat tricks are fun and maybe even pretty useful in our personal lives. But I can’t imagine that paying $99 a month to send emails, make calendar appointments, and create spreadsheets is a promising vision of the future or even a good return on investment. Especially if the broader cost is squandering the splendor of our lands while subjecting us to corporate omniscience."]]></description>
<dc:subject>ai artificialintelligence inequality productivity 2026 tcsottek gemini google microsoft apple computers computing labor work chatbots elonmusk johnadams markzuckerberg us economics class workers</dc:subject>
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<item rdf:about="https://pxlnv.com/blog/metaverse-fever-dream/">
    <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.youtube.com/watch?v=GqZZIdp0_TY">
    <title>Do Chatbots Really Belong in Schools? with Tom Mullaney - YouTube</title>
    <dc:date>2026-05-29T07:21:45+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=GqZZIdp0_TY</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Generative AI is making its way into many parts of society, and schools are no different. Tom Mullaney joins Paris Marx to discuss how generative AI has been adopted in K-12 education and the many concerns it presents for students and teachers.

Tom Mullaney is a high school social studies teacher in the suburbs of Philadelphia.

Tech Won’t Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Support the show on Patreon.

The podcast is made in partnership with The Nation. Production is by Kyla Hewson."]]></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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<dc:identifier>https://pinboard.in/u:robertogreco/b:071962409ede/</dc:identifier>
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</item>
<item rdf:about="https://www.noemamag.com/how-ais-see-our-world/">
    <title>How AIs See Our World</title>
    <dc:date>2026-05-26T23:36:42+00:00</dc:date>
    <link>https://www.noemamag.com/how-ais-see-our-world/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["AIs are increasingly perceiving our world, but in order to comprehend it, our user interfaces must operate in reverse."]]></description>
<dc:subject>chenoehart 2026 ai artificialintelligence seeing chatbots openai chatgpt donnorman clivethompson skeumorphism technology computers computing comprehension computation llms elisagiardinapapa aitraining algorithms eryksalvaggio 2022 2023 ux ui theowayt amazon qrcodes cameras tomwilliams 2019 google microsoft morganklaussscheuerman race rfid smartphones data waymo understanding elaineherzberg uber ntsb automstion psysicalai nvidia avs detection tracking driverlesscars apple complexity</dc:subject>
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<item rdf:about="https://unlimitedhangout.com/2026/05/investigative-series/the-praxian-genocidal-kill-chain-part-2/">
    <title>The Praxian Genocidal Kill Chain — Part 2</title>
    <dc:date>2026-05-26T07:00:09+00:00</dc:date>
    <link>https://unlimitedhangout.com/2026/05/investigative-series/the-praxian-genocidal-kill-chain-part-2/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In Part 1, we dissected how the “Praxians”—the Silicon Valley-rooted wing of the global oligarchy—have seized control of the second Trump administration. We considered how their technological partnership with the Israeli government has enabled them to deploy their “digital kill chain” in Gaza. Here, in Part 2 of what is now a three-part series, we will focus on how these Praxians employ State Crimes Against Democracy (SCADs) and show how they benefit from practically every SCAD move. As we pick apart propaganda narratives, we’ll come to terms with the hybrid war we’re all now fighting, whether we know it or not."

[Part 1:

https://unlimitedhangout.com/2026/04/investigative-series/praxian-kill-chain-part-1/

"In this two-part article series, Iain Davis examines how a class of Silicon Valley oligarchs have set about destabilising the planet in order to achieve their goal of a multipolar world of interconnected smart-city states; that is, a regionalised world that they and their oligarch partners will rule as neofeudal monarchs. In Part 1, Davis focuses on the deceit this oligarch network is using to drag us all to ruin and how it is controlling the Trump administration, whilst Part 2 will focus on their neocolonial ambitions in the Middle East."]]]></description>
<dc:subject>iaindavis 2026 oligarchy siliconvalley technofeudalism gaza palestine israel donaldtrump marcandreessen larryellison markzuckerberg samaltman palmerluckey paypalmafia alexkarp reidhoffman joelonsdale petertiel elnmusk nerdreich greenland technocracy surveillace power governance government darkenlightenment curtistarvin balajisrinivasan nickland tescreal accelerationism capitalism sequoiacapital a16z andreessenhorowitz markets money monetarysystems foundersfund balckrock statestreet vanguard ipos ycombinator garrytan traestephens openai openresearch worldcoin stavroulapabst ubi universalbasicincome identity privacy data matthuang alfredlin pluviculture markgoodwin whitneywebb siliconvalleybank finance banking erebor darkstate mithrilcapital palantir anduril sauronsystems maga llms anthropic claude darioamodei artificialintelligence ai aws genocide ethniccleansing military raedfares danielmalan southafrica apartheid davidben-gurion zionism 1947 1948 1954 1949 1963 1955 1961 abunidal sabrikhalilal-banna patricks</dc:subject>
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<item rdf:about="https://unlimitedhangout.com/2026/04/investigative-series/praxian-kill-chain-part-1/">
    <title>The Praxian Genocidal Kill Chain – Part 1</title>
    <dc:date>2026-05-26T06:58:51+00:00</dc:date>
    <link>https://unlimitedhangout.com/2026/04/investigative-series/praxian-kill-chain-part-1/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["In this two-part article series, Iain Davis examines how a class of Silicon Valley oligarchs have set about destabilising the planet in order to achieve their goal of a multipolar world of interconnected smart-city states; that is, a regionalised world that they and their oligarch partners will rule as neofeudal monarchs. In Part 1, Davis focuses on the deceit this oligarch network is using to drag us all to ruin and how it is controlling the Trump administration, whilst Part 2 will focus on their neocolonial ambitions in the Middle East."

[Part 2:

https://unlimitedhangout.com/2026/05/investigative-series/the-praxian-genocidal-kill-chain-part-2/

"In Part 1, we dissected how the “Praxians”—the Silicon Valley-rooted wing of the global oligarchy—have seized control of the second Trump administration. We considered how their technological partnership with the Israeli government has enabled them to deploy their “digital kill chain” in Gaza. Here, in Part 2 of what is now a three-part series, we will focus on how these Praxians employ State Crimes Against Democracy (SCADs) and show how they benefit from practically every SCAD move. As we pick apart propaganda narratives, we’ll come to terms with the hybrid war we’re all now fighting, whether we know it or not."]]]></description>
<dc:subject>iaindavis oligarchy siliconvalley technofeudalism donaldtrump neocolonialism middleeast marcandreessen larryellison markzuckerberg samaltman palmerluckey paypalmafia alexkarp reidhoffman joelonsdale petertiel elnmusk nerdreich greenland technocracy surveillace power governance government darkenlightenment curtistarvin balajisrinivasan nickland tescreal accelerationism capitalism sequoiacapital a16z andreessenhorowitz markets money monetarysystems foundersfund balckrock statestreet vanguard ipos ycombinator garrytan traestephens openai openresearch worldcoin stavroulapabst ubi universalbasicincome identity privacy data matthuang alfredlin pluviculture markgoodwin whitneywebb siliconvalleybank finance banking erebor darkstate mithrilcapital palantir anduril sauronsystems maga llms anthropic claude darioamodei artificialintelligence ai aws palestine gaza genocide ethniccleansing military raedfares danielmalan southafrica apartheid davidben-gurion zionism 1947 1948 1954 1949 1963 1955 1961 abunidal sabrikhalilal-</dc:subject>
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<item rdf:about="https://www.nybooks.com/articles/2026/05/28/whither-the-nerd-bully-bill-gates/">
    <title>Whither the Nerd-Bully? | Ben Tarnoff | The New York Review of Books</title>
    <dc:date>2026-05-14T15:49:09+00:00</dc:date>
    <link>https://www.nybooks.com/articles/2026/05/28/whither-the-nerd-bully-bill-gates/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Bill Gates was the monopolistic father figure who Silicon Valley’s young founders rebelled against—and, in so rebelling, became."

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

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

"Apropos of nothing in particular...

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

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

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

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

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

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

This is the dream that multiple generations of tech entrepreneurs have since pursued. Gates’s initial name for Microsoft Windows was “Interface Manager,” and the phrase aptly summarizes the project continued by his spiritual successors. From Brin to Zuckerberg to Altman, from search engines to social media to chatbots, the goal is to become the interface manager, controlling the surfaces that we use to simplify and humanize computing’s alien depths. Gates is the ghost in our machines."]]></description>
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<item rdf:about="https://theamericanvandal.substack.com/p/afteropenai?triedRedirect=true">
    <title>After OpenAI (Vandal Live at Wake Forest Humanities Institute)</title>
    <dc:date>2026-05-14T04:33:50+00:00</dc:date>
    <link>https://theamericanvandal.substack.com/p/afteropenai?triedRedirect=true</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Apple Podcasts | Spotify

As part of the Spring Symposium at the Wake Forest Humanities Institute, Matt Seybold discusses the present and future of AI speculation, including an extended discussion with Wake Forest faculty, many who were part of WFHI’s Interdisciplinary Faculty Seminar on Language, Theory, & Artificial Intelligence.

Cast (in order of appearance): Jennifer Greiman, Matt Seybold, Derek Lee, Michaela Appeltova, Nisrine Rahal, Barry Trachtenberg, Jeff Bills-Solomon, Dean Franco, Amanda Gengler

Featured Guests

Jennifer Greiman is Professor of English at Wake Forest University and Director of The Humanities Institute there.

Matt Seybold is Associate Professor of American Literature & Mark Twain Studies at Elmira College, as well as resident scholar at the Center For Mark Twain Studies and executive producer of The American Vandal Podcast.

Episode Bibliography

Emily Bender & Alex Hanna, The AI Con (HarperCollins, 2025)

Emily Bender, Timnit Gebru, et al. “On The Dangers of Stochastic Parrots: Can Language Models Be Too Big?” FAccT 2021

Tressie McMillan Cottom, “The Tech Fantasy That Powers AI is Running on Fumes” The New York Times (April 29, 2025)

Michel de Certeau, The Practice of Everyday Life (U California Press, 1984)

Virginia Dignum, The AI Paradox: How To Make Sense of a Complex Future (Princeton UP, 2026)

Ronan Farrow & Andrew Marantz, “Moment of Truth” The New Yorker (April 13, 2026)

Karen Hao, Empire of AI: Dreams & Nigthmares in Sam Altman’s Open AI (Penguin Random House, 2026)

Andy Hines, Outside Literary Studies: Black Criticism & The University (U Chicago Press, 2022)

E. D. Hirsch, Cultural Literacy (Houghton Mifflin, 1987)

Tyler Johnston, “The reporters at this new site are AI bots. OpenAI’s Super PAC appears to be funding it.” Model Republic (April 24, 2026)

Matthew Kirschenbaum, “Grok is an Epistemic Weapon” Tech Policy Press (January 13, 2026)

Matthew Kirschenbaum, “Texpocalypse Now: AI and The New Political Economy of Writing” PennAI (April 17, 2026)

Matthew Kirschenbaum & Rita Raley, “AI & The University as a Service” PMLA (May 2024)

Christopher Newfield, Unmaking The Public University (Harvard UP, 2011)

Britt S. Paris, Radical Infrastructure: Imagining The Internet From The Ground Up (U. California, 2026)

Ann Pettifor, The Global Casino: How Wall Street Gambles with People & The Planet (Verso, 2026)

Ann Pettifor, “The Next Crisis is Coming” Politics Joe (April 1, 2026)

Ann Pettifor, “Is the next financial crisis only a matter of time?” De Balie (February 16, 2026)

Daniel Roher & Charlie Tyrell, The AI Doc, or How I Became An Apocaloptimist (2026)

Matt Seybold, “Against Technofeudal Education” The American Vandal (June 10, 2025)

Matt Seybold, “The Technofeudal Text” The American Vandal (August 25, 2025)

Matt Seybold, “Mamdani Win Could Be The First Step Towards Seizing The Means of Knowledge Production” The American Vandal (November 5, 2025)

Matt Seybold & Eric Hayot, “The ‘Crisis In The Humanities’ Is Over. That’s Not a Good Thing.” Chronicle Of Higher Education (December 29, 2025)

Matt Seybold & John Warner, “The Technology That’s Taking Your Freedom” Academic Freedom On The Line (February 3, 2026)

Matt Seybold et al, “The Secret History of Canvas LMS, Corporate Raiders, & The Chatbot Bubble” The American Vandal (March 24, 2026)

Matt Seybold et al, “HBCUs & The Philanthrocapitalist Swindle” The American Vandal (February 4, 2025)

Jacob Silverman, “The Death of an AI Whistleblower” The Nation (May 2026)

Nick Srnicek, Silicon Empires: The Fight For The Future of AI (Polity, 2026)

Ben Tarnoff, “Frankenstein’s Regret” The Nation (May 2026)

Wake Forest Humanities Institute, “Language, Theory, & Artificial Intelligence” (May 2026)

McKenzie Wark, Capital Is Dead: Is This Something Worse? (Verso, 2019)"]]></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.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>
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	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:facebook"/>
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</item>
<item rdf:about="https://www.wheresyoured.at/four-horsemen-of-the-aipocalypse/">
    <title>Four Horsemen of the AIpocalypse</title>
    <dc:date>2026-04-22T03:12:34+00:00</dc:date>
    <link>https://www.wheresyoured.at/four-horsemen-of-the-aipocalypse/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Table of Contents

Anthropic’s Products Are Constantly Breaking Because It Doesn’t Have Enough Capacity, And Opus 4.7 Is Both Worse and Burns More Tokens

> Anthropic Has No Good Solutions To Its Capacity Issues And Shouldn’t Be Accepting New Customers — And More Capacity Will Only Lose It Money

> Anthropic’s Growth Story Is A Sham Based on Subsidies and Sub-par Service

> Claude Mythos Was Held Back Due To Capacity Constraints, Not Fears Around Capabilities

AI Compute Demand Is Being Inflated By Anthropic and OpenAI, With More Than 50% of AI Data Centers Under Construction Built For Two Companies, and Only 15.2GW of Capacity Under Construction Through The End of 2028

NVIDIA Claims To Have $1 Trillion In Sales Visibility Through 2027, But Only $285 Billion GPUs Worth Of Data Centers Are Under Construction — NVIDIA Is Selling Years’ Worth of GPUs In Advance And Warehousing Them

AI Is Really Expensive, With Companies Spending As Much As 10% Of Headcount Cost On LLM Tokens, And May Reach 100% of Headcount Cost In The Next Few Quarters

The Subprime AI Crisis Continues, With Microsoft Starting Token-Based Billing For GitHub Copilot Later This Year, And Anthropic Already Moving Enterprise Customers To API Rates

This Is The Era of AI Hysteria"]]></description>
<dc:subject>ai artificialintelligence anthropic openai aibubble nvidia edzitron finance 2026 generativeai genai chatbots claude chatgpt coreweave datacenters amazon google googlecloud microsoft computing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:659d42c55575/</dc:identifier>
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<item rdf:about="https://mjtsai.com/blog/2026/04/15/ipados-postmacbook-neo/">
    <title>Michael Tsai - Blog - iPadOS Post–MacBook Neo</title>
    <dc:date>2026-04-16T05:08:37+00:00</dc:date>
    <link>https://mjtsai.com/blog/2026/04/15/ipados-postmacbook-neo/</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>ipad ipados computers computing ios macos macbookneo laptops 2026 michaeltsai mattbirchler ericschwarz touchscreens os markgurman brendanshanks howwework coloncornaby chrishannah edtech chromebooks stevertroughton-smith marcusmendes danielrubino mitchwagner nilaypatel davidpierce tobiashedtke colindevroe education tablets microsoft microsoftsurface</dc:subject>
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</item>
<item rdf:about="https://ringmast4r.substack.com/p/we-may-be-living-through-the-most">
    <title>We May Be Living Through the Most Consequential Hundred Days in Cyber History, and Almost Nobody Has Noticed</title>
    <dc:date>2026-04-15T07:11:15+00:00</dc:date>
    <link>https://ringmast4r.substack.com/p/we-may-be-living-through-the-most</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["An archive of this year’s insane timeline of hacks few people are talking about"]]></description>
<dc:subject>ethics governance war security 2026 patrickquirk china computers computing internet web online cybersecurity oracle github saas lockheedmartin salesforce iran handala northkorea russia ai artificialintelligence claude anthropic vishing voicephishing microsoft stryker kashpatel fbi axios intelligence cisco llms mercor meta cloud cloudcomputing rockstargames aviation honda</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:6b5f93da50a8/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:handala"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:artificialintelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:claude"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:anthropic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:vishing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:voicephishing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:microsoft"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:stryker"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:kashpatel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:fbi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:axios"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:cisco"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:llms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:mercor"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:rockstargames"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:aviation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:robertogreco/t:honda"/>
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</item>
<item rdf:about="https://www.wheresyoured.at/i-will-never-respect-a-website/">
    <title>I Will Never Respect A Website</title>
    <dc:date>2026-04-14T22:14:43+00:00</dc:date>
    <link>https://www.wheresyoured.at/i-will-never-respect-a-website/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Table of Contents

What Makes People So Attached To and Protective Of LLMs?

The Great Enshittification of Generative AI

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

A Scenario Illustrating How Anthropic Fucks Over Its Customers

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

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

OpenAI And Anthropic Are Unethical Businesses That Abuse Their Customers

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

Cause and Effect"]]></description>
<dc:subject>openai ai artificialintelligence anthropic enshittification internet web online llms edzitron 2026 conjobs fraud computers computing ethics abuse writing howwewrite linkedin davemccann ibm chatbots stephenfry alexheath claude claudecowork agenticai openclaw finance claudecode oracle coreweave microsoft amazon aes cerebras ronanfarrow andrewmarantz samaltman darioamodei miramurati danielkokotajlo chatgpt technofeudalism billionaires luddism neoluddism luddites neoluddites resistance revolt oligarchy</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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</item>
<item rdf:about="https://www.wheresyoured.at/ai-is-really-weird/">
    <title>AI Is Really Weird</title>
    <dc:date>2026-04-09T20:25:19+00:00</dc:date>
    <link>https://www.wheresyoured.at/ai-is-really-weird/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Table of Contents

We Are Not In The Early Days of AI, And It’s Weird To Say That We Are

Why Is Everybody Lying About What AI and “Agents” Can Actually Do?

Let’s Talk About The Actual Consequences of Coding LLMs

The Economics Of AI Are Weird And Bad, And It’s Even Weirder That People Try And Normalize Them

It’s Very Weird That The Media Ignored My Reporting on OpenAI’s Revenues, and Anthropic’s Statement That It Made $5 Billion In Revenue Through March 9, 2026

It’s Weird That The Media Continues To Normalize OpenAI And Anthropic Losing Billions of Dollars

Does Anthropic Measure Its Gross Margins Based On How Much Revenue A Model Made Rather Than Revenue Minus COGS?

OpenAI and Anthropic Lose Billions of Dollars, But The Media Normalizes It In Any Way It Can, Acting As If Model Training Is Capex When It’s Actually A Cost of Goods Sold

Anthropic’s Revenue Growth Is Weird and Suspicious — How Did It Go From $700 million in monthly revenue in December 2025 to $2.3 to $2.5 billion in April 2026?

Anthropic’s Sonnet and Opus 4.6 Models Burn More Tokens Than Previous Models, and enable a 500% Larger 1 Million Token Context Window By Default, Artificially Inflating Costs For Similar Gains

Does Meta’s “TokenMaxxing” Account For A Quarter of Anthropic’s Revenue?

Measuring Worker Output In Token Consumption Is Incredibly Weird, and TokenMaxxing Is Not A Sustainable Business Model

TokenMaxxing Is A Valley-Wide Problem, Raising The Costs of Running Any Software Team Based On How AI-Crazed Your CEO Has Become — And When Cost Cuts Begin, API Revenue Will Collapse

The AI Bubble Is Weird, Irrational and Wasteful, And It’s Even Weirder That It’s A Fringe Opinion To Say So"

...

"I can’t get over how weird the AI bubble has become.

Hyperscalers are planning to spend over $600 billion on data center construction and GPUs predominantly bought from NVIDIA, the largest company on the stock market, all to power generative AI, a technology that’s so powerful that none of them will discuss how much it’s making them, or what it is we’re all meant to be so excited. 

To make matters weirder, Microsoft, a company that spent $37.5 billion in capital expenditures in its last quarter on AI, recently updated the terms and conditions of its LLM-powered “Copilot” service to say that it was “for entertainment purposes only,” discussing a product that apparently has 15 million users as part of enterprise Microsoft 365 subscriptions, and is sold to both local and national governments overseas, including the US federal government.

That’s so weird! What’re you doing Microsoft? What do you mean it’s for entertainment purposes? You’re building massive data centers to drive this! 

Well, okay, you’re building them at some point. As I discussed a few weeks ago, despite everybody talking about the hundreds of gigawatts of data centers being built “to power AI,” only 5GW are actually “under construction,” with “under construction” meaning anything from “we’ve got some scaffolding up” to “we’re about to hand over the keys to the customer.” 

But isn’t it weird we’re even building those data centers to begin with? Why? What is it that AI does that makes it so essential — or, rather, entertaining — that we keep funding and building these things? Every day we hear about “the power of AI,” we’re beaten over the head with scary propaganda saying “AI will take our jobs,” but nobody can really explain — outside of outright falsehoods about “AI replacing all software engineers” — what it is that makes any of this worthy of taking up any oxygen let alone essential or a justification for so many billions of dollars of investment."

...

"And with that incredibly easy access, only 3% of households pay for AI. Boosters will again use this talking point to say that “we’re in the early days,” but that’s only true if you think that “early days” means “people aren’t really using it yet.” 

Yet the “early days” argument is inherently deceptive.

While the Large Language Model hype cycle might have only begun in 2022, the entirety of the media and markets have focused their attention on AI, along with hundreds of billions of dollars of venture capital and nearly a trillion dollars of hyperscale capex investment. AI progress isn’t hampered by a lack of access, talent, resources, novel approaches, or industry buy-in, but by a single-minded focus on Large Language Models, a technology that has been so obviously-limited from the very beginning that Gary Marcus was able to call it in 2022. 

Saying it’s “the early days” also doesn’t really make sense when faced with the rotten and incredibly unprofitable economics of AI. The early days of the internet were not unprofitable due to the underlying technology of serving websites, but the incredibly shitty businesses that people were building. Pets.com spent $400 per customer in customer acquisition costs, millions of dollars on advertising, and had hundreds of employees for a business with a little over $600,000 in quarterly revenue — and as a result, nothing about its failure was about “the early days of the internet” at all, as was the case with Kozmo, or any number of other dot com flameouts. 

Similarly, internet infrastructure companies like Winstar collapsed because they tried to grow too fast and signed stupid deals rather than anything about the underlying technology’s flaws."

...

"I think it’s also worth asking at this point what is is we’re actually fucking doing. 

We’re building — theoretically — hundreds of gigawatts of data centers, feeding hundreds of billions of dollars to NVIDIA to buy GPUs, all to build capacity for demand that doesn’t appear to exist, with only around $65 billion of revenue (not profit) for the entire generative AI industry in 2025, with much of that flowing from two companies (Anthropic and OpenAI) making money by offering their models to unprofitable AI startups that cannot survive without endless venture capital, which is also the case for both AI labs.

Said data centers make up 90% of NVIDIA’s revenue, which means that 8% or so of the S&P 500’s value comes from a company that makes money selling hardware to people that immediately lose money on installing it. That’s very weird! Even if you’re an AI booster, surely you want to know the truth, right? 

The most-prominent companies in the AI industry — Anthropic and OpenAI — burn billions of dollars a year, have margins that get worse over time, and absolutely no path to profitability, yet the majority of the media act as if this is a problem that they will fix, even going as far as to make up rationalizations as to how they’ll fix it, focusing on big revenue numbers that wilt under scrutiny.

That’s extremely weird, and only made weirder by members of the media who seem to think it’s their job to defend AI companies’ bizarre and brittle businesses. It’s weird that the media’s default approach to AI has, for the most part, been to accept everything that the companies say, no matter how nonsensical it might be.

I mean, come on! It’s fucking weird that OpenAI plans to burn $121 billion in the next two years on compute for training its models, and that the media’s response is to say that somehow it will break even in 2030, even though there’s no actual explanation anywhere as to how that might happen other than vague statements about “efficiency.”

That’s weird! It’s really, really weird!

It’s also weird that we’re still having a debate about “the power of AI” and “what agents might do in the future” based on fantastical thoughts about “agents on the internet” that do not exist, cannot exist, and will never exist, and it’s fucking weird that executives and members of the media keep acting as if that’s the case. It’s also weird that people discussing agents don’t seem to want to discuss that OpenAI’s Operator Agent does not work, that AI browsers are fundamentally broken, or that agentic AI does not do anything that people discuss.

In fact, that’s one of the weirdest parts of the whole AI bubble: the possibility of something existing is enough for the media to cover it as if it exists, and a product saying that it will do something is enough for the media to believe it does it. It’s weird that somebody saying they will spend money is enough to make the media believe that something is actually happening, even if the company in question — say, Anthropic — literally can’t afford to pay for it.

It’s also weird how many outright lies are taking place, and how little the media seems to want to talk about them. Stargate was a lie! The whole time it was a lie! That time that Sam Altman and Masayoshi Son and Larry Ellison stood up at the white house and talked about a $500 billion infrastructure project was a lie! They never formed the entity! That’s so weird!

Hey, while I have you, isn’t it weird that OpenAI spent hundreds of millions of dollars to buy tech podcast TBPN “to help with comms and marketing”? It’s even weirder considering that TBPN was already a booster for OpenAI! 

It’s also weird that a lot of AI data center projects don’t seem to actually exist, such as Nscale’s project to make “one of the most powerful AI computing centres ever” that is literally a pile of scaffolding, and that despite that announcement the company was able to raise $2 billion in funding.

It’s also weird that we’re all having to pretend that any of this matters. The revenues are terrible, Large Language Models are yet to provide any meaningful productivity improvements, and the only reason that they’ve been able to get as far as they have is a compliant media and a venture capital environment borne of a lack of anything else to invest in. 

Coding LLMs are popular only because of their massive subsidies and corporate encouragement, and in the end will be seen as a useful-yet-incremental and way too expensive way to make the easy things easier and the harder things harder, all while filling codebases full of masses of unintentional, bloated code. If everybody was forced to pay their actual costs for LLM coding, I do not believe for a second that we’d have anywhere near the amount of mewling, submissive and desperate press around these models. 

The AI bubble has every big, flashing warning sign you could ask for. Every company loses money. Seemingly every AI data center is behind schedule, and the vast majority of them aren’t even under construction. OpenAI’s CFO does not believe that it’s ready to go public in 2026, and Sam Altman’s reaction has been to have her report to somebody else other than him, the CEO. Both OpenAI and Anthropic’s margins are worse than they projected. Every AI startup has to raise hundreds of millions of dollars, and their products are so weak that they can only make millions of dollars of revenue after subsidizing the underlying cost of goods to the point of mass unprofitability. 

And it’s really weird that the mainstream media has a diametric view — that all of this is totally permissible under the auspices of hypergrowth, that these companies will simply grow larger, that they will somehow become profitable in a way that nobody can actually describe, that demand for AI data centers will exist despite there being no signs of that happening.

I get it. Living in my world is weird in and of itself. If you think like I do, you have to see every announcement by Anthropic or OpenAI as suspicious — which should be the default position of every journalist, but I digress — and any promise of spending billions of dollars as impossible without infinite resources.

At the end of this era, I think we’re all going to have to have a conversation about the innate credulity of the business and tech media, and how often that was co-opted to help the rich get richer.

Until then, can we at least admit how weird this all is?"]]></description>
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    <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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    <title>Why Swedish Schools Are Bringing Back Books</title>
    <dc:date>2026-04-02T05:38:06+00:00</dc:date>
    <link>https://undark.org/2026/04/01/sweden-schools-books/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Amid declining test scores, the country has pivoted away from screens and invested in back-to-basics school materials."

[Also posted here:

"Sweden goes back to basics, swapping screens for books in the classroom
Sweden is bringing back books amid declining test scores."
https://arstechnica.com/science/2026/04/sweden-goes-back-to-basics-swapping-screens-for-books-in-the-classroom/ ]]]></description>
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<item rdf:about="https://www.theverge.com/tech/905398/apple-iphone-anniversary-jobs-release">
    <title>Everything is iPhone now | The Verge</title>
    <dc:date>2026-04-02T00:52:37+00:00</dc:date>
    <link>https://www.theverge.com/tech/905398/apple-iphone-anniversary-jobs-release</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Most importantly, the first iPhone only ran on AT&T’s aging EDGE 2G network — but that exclusivity arrangement allowed Apple to insist upon full-featured Wi-Fi support and a real web browser, a combination no other smartphone on any other network allowed at the time. Most smartphones had neutered Wi-Fi to force expensive mobile data usage, but also had viciously limited web browsers to protect those networks from being overloaded.

To this day, it’s funny to watch the audience react to Jobs’ famous “this is not three devices” iPhone keynote bit — there are obvious cheers for “widescreen iPod with touch controls,” rapturous applause and hooting for “revolutionary mobile phone,” and then what amounts to confused, muffled applause for “breakthrough internet communications device.”

What was that? Well, that turned out to be everything, in the end. The whole world has reorganized itself around this breakthrough internet communications device. The iPod and phone might as well have been forgotten.

Publicly, the industry immediately bumbled its response: Everyone’s seen the famous clip of Microsoft’s then-CEO Steve Ballmer dismissing the iPhone as too expensive and missing a hardware keyboard. But in private it was clear that things had been upended. BlackBerry inventor Mike Lazaridis watched the iPhone introduction from his treadmill at home and realized in shock that the iPhone was destined to compete with laptops, not phones.

“They put a full web browser on that thing,” he told his co-CEO, Jim Balsillie, the next morning, according to the definitive book on RIM’s downfall. “The carriers aren’t letting us put a full browser on our products.”"]]></description>
<dc:subject>nilaypatel 2026 iphone 2007 computers computing smartphones stevejobs steveballmer microsoft blackberry mikelazaridis jimbalsillie internet web online rim communication</dc:subject>
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<item rdf:about="https://thebaffler.com/latest/think-nothing-of-it-wright">
    <title>Think Nothing of It | Webb Wright</title>
    <dc:date>2026-04-01T03:59:35+00:00</dc:date>
    <link>https://thebaffler.com/latest/think-nothing-of-it-wright</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Whenever a new technology drops, humans can tend to panic. In Plato’s Phaedrus (written in the fourth century BCE), Socrates tells the story of an Egyptian god who invents the art of writing and tries to bestow it as a gift to humanity. They’re less than thrilled. “This discovery of yours will create forgetfulness in the learners’ souls, because they will not use their memories,” Thamus, a local king, complains. “They will appear to be omniscient and will generally know nothing . . . having the show of wisdom without the reality.”

Twenty-four centuries later, amid the disorientation of the AI boom, this argument is relevant once again. The arrival of ChatGPT in late 2022 sparked a debate around whether the technology will supercharge human creativity and critical thinking or effectively replace them as it automates an increasingly broad range of cognitive tasks. Tech companies breathlessly promote AI as an end to menial drudgework, liberating our attention for more engaging and meaningful pursuits. Some of its more devoted proselytizers go further, claiming it’ll be a near-panacea to humanity’s most pressing problems: cancer, climate change, loneliness, poverty, etc.

Any “societal disruptions” encountered along the way are scrupulously downplayed as the justifiable costs of a worthwhile future. “There will be very hard parts like whole classes of jobs going away, but on the other hand the world will be getting so much richer so quickly that we’ll be able to seriously entertain new policy ideas we never could before,” OpenAI’s Sam Altman avowed last year in a blog post. Altman and other AI boomers often invoke what they regard as a key lesson of history: that every disruptive technology—the printing press, photography, calculators, the internet—unsettles some portion of the population when it first appears (hence the “disruptive” part), but gradually everyone adjusts to a new equilibrium. That which initially seemed scary soon becomes mundane, and eventually it’s hard for us to imagine what life must’ve been like without it. So, too, with AI, the true believers argue: “Humanity is close to building digital superintelligence, and at least so far it’s much less weird than it seems like it should be,” Altman continued.

There’s an implicit assumption behind this techno-optimistic historical narrative, and it’s now being drilled harder than ever: This is the unavoidable next stage in technological evolution, so you may as well just accept it.

It’s a line of thinking born less from an accurate reading of history than from financial pressure: AI developers like OpenAI desperately need to keep attracting capital and users at a time when many of them have yet to become profitable, and when the future of their industry—all the bluster notwithstanding—is very much an open question. It also elides another important, and far less comforting, historical lesson: the mass adoption of any new technology, by definition, entails the loss of some aspect of human agency. Thamus had a point: Even if few of us today would argue that we should jettison writing altogether, there’s a very strong case to be made that we moderns don’t have the capacity for memory that our ancient ancestors did, with their reliance upon vast oral traditions and mythologies passed down from one generation to the next. For better or worse, technology becomes a prosthesis. “Men have become the tools of their tools,” Thoreau wrote at the peak of the Industrial Revolution.

To be clear, I’m neither a Luddite nor an AI doomer. We’re a technological species; inventiveness is intrinsic to human nature. And given enough time, I believe we inevitably would’ve found a way to build intelligence, or at least something that looks a lot like it, into machines. I also consider AI legitimately useful in some respects. But like many others, the steady creep of AI into the fabric of everyday life often leaves me feeling deeply unsettled. Not so much for the obvious reasons, like its tendency to hallucinate or to be comically obsequious—those are bugs that are being worked out with every new model. The really disturbing thing is how well it often works, the mind-numbing convenience it affords.

AI can already automate many of the day-to-day workflows of professionals working in fields like software engineering, finance, and customer service, and some of the technology’s more vocal proponents—like Altman and Anthropic CEO Dario Amodei—predict that in the not so distant future most businesses will require much fewer human employees as they outsource critical tasks to semiautonomous “agents.” In February, Block CEO Jack Dorsey announced he was laying off over four thousand employees—close to half the company’s total headcount—due to the growing capabilities of AI: “We’re already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company,” he wrote in an post on X, “and that’s accelerating rapidly.” It will be years before the consequences of this rising tide of automation on the economy become clear, but its effects on human psychology are already beginning to show. Plato’s words ring like a warning: They will appear to be omniscient and generally know nothing.

Friction, a catchall term for superfluity in the user experience, has become a pejorative in the modern tech industry: something to be rooted out and eliminated, like weeds from a garden. Chatbots and agents, we’re endlessly told, can remove hassle and frustration not only in our jobs but also in our personal lives. The ultimate vision of artificial general intelligence, or AGI—the goal to which every major AI lab is ostensibly moving toward—is to automate any cognitive task the human brain can do (or according to another definition, all economically valuable labor). By that logic, any kind of challenge a human being might grapple with, be it psychological or physical, is recast as a market opportunity. Friction-removal is big business, and business is a-booming.

Big tech’s promise of AI as the end of friction, of course, hinges on the presumption that friction is inherently a bad thing. This is yet another argument we’d be wise not to accept at face value. Some studies, in fact, have already strongly suggested the opposite—that friction is healthy and that we get rid of it at our peril.

In January of last year, Michael Gerlich, a professor at the Swiss Business School, published the results of a study which found “a significant negative correlation between frequent AI tool usage and critical thinking abilities,” especially among younger users. Gerlich interviewed over 650 people across a range of education levels and ages and concluded that while AI can provide some educational benefits (by generating personalized lesson plans, for example), it also undermines more reflective thought through “cognitive offloading,” a phrase coined almost a decade earlier by psychologist Evan Risko and cognitive neuroscientist Sam Gilbert—basically, outsourcing the most difficult and therefore productive parts of thinking onto a machine. “The pervasive availability of AI tools, which offer quick solutions and readymade information, can discourage users from engaging in the cognitive processes essential for critical thinking,” Gerlich writes. A few months later, that conclusion was echoed in a report published by a team of researchers from none other than Microsoft, which showed that the more confidence that “knowledge workers” placed in AI, the less likely they were to exhibit strong critical thinking skills. Dependence upon the one seemed to be coming at the expense of the other.

Another recent study, which has yet to be peer-reviewed, took things one step further by actually peering into the brains of people who are actively using AI. The researchers used electroencephalography (EEG) to map the brain activity of three separate groups of subjects, all of whom were asked to write a short essay. The first had access to ChatGPT, which they could interact with as they wrote; the second was able to use Google and other online search engines (with AI-generated responses deactivated); and a third “brain only” group had access to neither of those digital tools. The results showed higher levels of activity between brain regions in the third group compared to the first two, indicating that they were getting more cognitive exercise. The LLM-assisted group also reported a lower sense of ownership over what they’d written, and many of them weren’t able to accurately quote a single passage from their essay. The use of AI to work through some of the more difficult parts of writing, the researchers concluded, induced a “metacognitive laziness”: a diminished motivation to think about how we’re thinking.

“AI tools that generate essays without prompting students to reflect or revise can make it easier for students to avoid the intellectual effort required to internalize key concepts, which is crucial for long-term learning and knowledge transfer,” the researchers wrote. In other words, using AI to bypass the time and effort required to grapple with an intellectual problem might feel productive in the short-term, but those cognitive shortcuts add up. Eventually, you could be standing in front of a gap that you can’t cross without the help of a chatbot.

This is all a bit discouraging, but it isn’t surprising. Of course a tool that’s built to take on cognitive work on our behalf is going to cause some degree of mental “laziness,” at least among its more active users. Again, this has been a theme of technology through the ages: tool use takes its toll on human agency.

Speaking of human agency, it’s important to bear in mind that AI per se doesn’t erode critical thinking skills, memory, or any other ability that humans pride themselves on. It’s how we use it that matters. And despite the inevitability narrative being pushed by Silicon Valley, we still have a choice in this regard.

Another team of researchers from the Georgia Institute of Technology and the University of California San Diego has shown that when used to strategically cultivate friction rather than bypass it, AI can nurture reflective thinking and cognitive flexibility. In a paper posted in September, they described their experiment with an AI tool called “Socratic Mind,” designed not to provide users with quick answers but to draw out their own reasoning capabilities through the style of questioning pioneered by Socrates.

A cohort of students interacted with Socratic Mind while completing an online computer science course, and the system would respond with what were supposed to be constructive follow-up questions. Just as Socrates tried to lead his interlocutors to a definition of justice or wisdom through dialectic (elenchus in Greek), this AI system would respond to, say, a question about debugging a line of code with another question intended to spark deeper thought. (Think: “And why do we get this specific error message?”) The researchers found that this friction-friendly use of AI improved the students’ output quality, underscoring the technology’s “promising role in fostering deep engagement, personalized learning, and scaffolding when used interactively.” This hints at what’s already becoming a growing trend in the age of AI: intentionally fostering some forms of friction to preserve cognitive autonomy and as a kind of mental moat against the encroachments of automation.

In early 2024, behavioral design researchers Zeya Chen and Ruth Schmidt posted a paper laying out what they call a “positive friction model” for human-AI interaction. They argue that through the use of “behavioral speed bumps”—design features which cause momentary, reflective pauses for users—AI developers can build products that foster well-being rather than dependency. Chen and Schmidt draw upon real-world experiments aimed at intentionally slowing down a process which might otherwise be ripe for automated acceleration, such as Dutch kletskassas, or “chat checkouts,” in which supermarket customers take their time and interact with a human cashier rather than rushing through an automated checkout process. So-called “friction-maxxing” is a thing now too.

But phrases like positive friction and friction-maxxing come off as oxymoronic in a culture that places a premium on convenience at every turn. Chatbots, at least as they’re currently trained, optimize for engagement, not psychological health. Developers might eventually start prioritizing AI tools trained to leave room for a healthy amount of friction à la Socratic Mind, but that seems unlikely to happen anytime soon.

At the very least, the positive friction model can plant a seed, enabling us to envision an alternative vision of the future that is much more worthwhile than the one being pushed by the AI boomers. The need to invent new technologies may indeed be innate to human beings, and it’s true that we have an unrivaled ability to normalize the abnormal. But it’s a very big leap to take those two tenets of human nature as the justification for the claim that AI is a historical, even evolutionary inevitability.

This is one of the more disturbing qualities of the so-called AI boom: in a rhetorical sleight-of-hand that makes a mockery of human agency, it’s presented as if it were unavoidable. Silicon Valley likes to play the part of that god from Plato’s parable, the bringer of new technology from on high. But there is no god of technology, only human choices; no inevitabilities in the future of AI, only clever marketing schemes trying to convince us otherwise."]]></description>
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    <title>The Ends of AI: Sycophancy and psychosis</title>
    <dc:date>2026-03-29T02:55:09+00:00</dc:date>
    <link>https://disjunctionsmag.com/articles/ends-of-ai/</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>mélhogan ai artificialintelligence sycophancy psychosis chatgpt openai google gemini claude anthropic copilot microsoft grok xai chatbots oligarchy generativeai genai llms darioamodei enshittification corydoctorow meta amazon algorithms josémarichal aihype dei surveillance humanities objectivity whitesupremacy transphobia incels technology jeffreyepstein samaltman inequality infrastructure worldview</dc:subject>
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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>
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</item>
<item rdf:about="https://www.wheresyoured.at/the-ai-industry-is-lying-to-you/">
    <title>The AI Industry Is Lying To You</title>
    <dc:date>2026-03-24T20:49:38+00:00</dc:date>
    <link>https://www.wheresyoured.at/the-ai-industry-is-lying-to-you/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The Tech Industry Has Poisoned Itself With The Lies of AI

In the end, everything about AI is built on lies. 

Hundreds of gigawatts of data centers in development equate to 5GW of actual data centers in construction. 

Hundreds of billions of dollars of GPU sales are mostly sitting waiting for somewhere to go.

Anthropic’s constant flow of “annualized” revenues ended up equating to literally $5 billion in revenue in four years, on $25 billion or more in salaries and compute.

Despite all of those data centers supposedly being built, nobody appears to be making a profit on renting out AI compute.

AI’s supposed ability to “write all code” really means that every major software company is filling their codebases with slop while massively increasing their operating expenses. Software engineers aren’t being replaced — they’re being laid off because the software that’s meant to replace them is too expensive, while in practice not replacing anybody at all.

Looking even an inch beneath the surface of this industry makes it blatantly obvious that we’re witnessing one of the greatest corporate failures in history. The smug, condescending army of AI boosters exists to make you look away from the harsh truth — AI makes very little revenue, lacks tangible productivity benefits, and seems to, at scale, actively harm the productivity and efficacy of the workers that are being forced to use it.

Every executive forcing their workers to use AI is a ghoul and a dullard, one that doesn’t understand what actual work looks like, likely because they’re a lazy, self-involved prick. 

Every person I talk to at a big tech firm is depressed, nagged endlessly to “get on board with AI,” to ship more, to do more, all without any real definition of what “more” means or what it contributes to the greater whole, all while constantly worrying about being laid off thanks to the truly noxious cultures that are growing around these services.

AI is actively poisonous to the future of the tech industry. It’s expensive, unproductive, actively damaging to the learning and efficacy of its users, depriving them of the opportunities to learn and grow, stunting them to the point that they know less and do less because all they do is prompt. Those that celebrate it are ignorant or craven, captured or crooked, or desperate to be the person to herald the next era, even if that era sucks, even if that era is inherently illogical, even if that era is fucking impossible when you think about it for more than two seconds.

And in the end, AI is a test of your introspection. Can you tell when you truly understand something? Can you tell why you believe in something, other than that somebody told you you should, or made you feel bad for believing otherwise? Do you actually want to know stuff, or just have the ability to call up information when necessary? 

How much joy do you get out of becoming a better person?If you can’t answer that question with certainty, maybe you should just use an LLM, as you don’t really give a shit about anything.

And in the end, you’re exactly the mark built for an AI industry that can’t sell itself without spinning lies about what it can (or theoretically could) do."]]></description>
<dc:subject>edzitron ai economics genai artificialintelligence generativeai datacenters finance fraud cloud technology physics paulkedrosky lies nvidia avisionyoung statistics gpus openai media google amazon microsoft jensenhuang coreweave supermicro meta eugenekim llms bigtech aibubble openclaw mobitar labor work workers employment layoffs data kevinroose journalism siliconvalley figma anthropic business</dc:subject>
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<item rdf:about="https://www.theguardian.com/us-news/ng-interactive/2026/mar/15/ai-defense-warfare-companies">
    <title>These aren’t AI firms, they’re defense contractors. We can’t let them hide behind their models | AI (artificial intelligence) | The Guardian</title>
    <dc:date>2026-03-20T07:05:46+00:00</dc:date>
    <link>https://www.theguardian.com/us-news/ng-interactive/2026/mar/15/ai-defense-warfare-companies</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["From Gaza to Iran, the pattern is the same: precision weapons, chosen blindness, and dead children. The cost of failing to regulate AI warfare is already too high"]]></description>
<dc:subject>ai artificialintelligence claude anduril anthropic accountability algorithms amazon military avnergvaryahu computing technology palantir regulation war openai spacex scaleai lockheedmartin raytheonn pentagon siliconvalley projectnimbus microsoft palmerluckey alexkarp bradcooper gaza palestine israel hamas idf iof us</dc:subject>
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</item>
<item rdf:about="https://www.bloodinthemachine.com/p/if-ai-is-writing-the-work-and-ai">
    <title>&quot;If AI is writing the work and AI is reading the work, do we even need to be there at all?&quot; Education workers reveal a growing crisis on campus and off</title>
    <dc:date>2026-03-13T06:19:30+00:00</dc:date>
    <link>https://www.bloodinthemachine.com/p/if-ai-is-writing-the-work-and-ai</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>2026 aib artificialintelligence education writing howwewrite highered highereducation chatgpt albertocarvalho schools schooling academia colleges universities ucirvine rickycrano labor work workers joannemcneil laurenkrouse brianmerchant grok openai copilot microsoft calebpolansky chatbots garymarcus briannicholson llms edtech ethics benjaminrichardson timnitgebru melaniemitchell csu californiastateuniversity california</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:0bae7612d161/</dc:identifier>
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<item rdf:about="https://www.youtube.com/watch?v=qcf5syA1MlE">
    <title>The Left Doesn’t Hate Technology with Gita Jackson - YouTube</title>
    <dc:date>2026-03-13T05:21:19+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=qcf5syA1MlE</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Paris Marx is joined by Gita Jackson to discuss why the left’s hatred of AI is justified, why a different approach to technology is necessary, and how they’re reassessing their own relationships with digital tech.

Gita Jackson is a co-founder of Aftermath (https://aftermath.site ).

Also mentioned in this episode:
     
• Gita wrote about why the left doesn’t hate technology (https://aftermath.site/anthropic-claude-ai-leftist-technology/ ).

• Gita also wrote about downloading digital music (https://aftermath.site/digita-audio-player-snowsky-echo-mini-fiio-hyby/ ) onto a Snowksy Fiio Echo Mini.

• Chris Person wrote about the  Boox Palma eReader (https://aftermath.site/i-love-my-weird-little-phone-shaped-ereader/ )  as an alternative to Kindle.

• Learn more about Mike Pondsmith (https://blackgirlnerds.com/from-cyberpsychos-to-netrunners-here-is-the-story-of-mike-pondsmith-the-true-mastermind-behind-cyberpunk/ ) and his Cyberpunk TTRPG.

• Gita will one day get Paris to watch Frieren (https://www.crunchyroll.com/series/GG5H5XQX4/frieren-beyond-journeys-end ) ."

[references:

"The Left Doesn't Hate Technology, We Hate Being Exploited
Techno-cynics are all just wounded techno-optimists."
https://aftermath.site/anthropic-claude-ai-leftist-technology/ ]]]></description>
<dc:subject>gitjackson parismarx technology left 2026 luddism neoluddism luddites neoluddites ai artificialintelligence llms technooptimism technocynicism exploitation generativeai openai anthropic claude chatgpt consolidation samaltman society hsr highsspeedrail publicgood mrna vaccines vaccinations medicine siliconvalley aibubble aihype capitalism corporations corporatism qanon ereaders eink boox chrisperson automation speculation infrastructure datacenters chatbots labor work seamusblackley business games gaming videogames xbox microsoft google uber lyft nfts crypto cryptocurrencies evil policy power bigtech oracle gemini gmail linux music spotify streaming china netflix piracy airbnb taxis jeffbezos billionaires gigeconomy billgates edwardsnowden peterthiel scale scaling slow small benshapiro cryptofascism donaldtrump slavery humans human humanity humanism government liberals liberalism grantmorrison agi butlerianjihad smarthphones walledgardens howweread reading books resistance search attention algorithms libraries</dc:subject>
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<dc:identifier>https://pinboard.in/u:robertogreco/b:8932ac767f53/</dc:identifier>
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</item>
<item rdf:about="https://abiawomosu.substack.com/p/they-built-stepford-ai-and-called">
    <title>They Built Stepford AI and Called It “Agentic”</title>
    <dc:date>2026-03-04T03:37:34+00:00</dc:date>
    <link>https://abiawomosu.substack.com/p/they-built-stepford-ai-and-called</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Women’s “ick” for AI isn’t technophobia or a gap to close. It’s wisdom to act on."]]></description>
<dc:subject>ai artificialintelligence gender misogyny patriarchy 2026 abiawomosu technology stepfordwives iralevin robots amazon alexa microsoft cortana jessalingel katecrawford siri apple inequality labor work capitalism production productivity reproduction economics economy infrastructure secondbrain obsidian roam napoleonhill women openai chatgpt sycophancy claude anthropic google gemini xai grok meta llama servitude automation customerservice carework care caring sherryturkle resistance servants slavery margaretrossiter extraction outsourcing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:d73a2598a407/</dc:identifier>
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</item>
<item rdf:about="https://www.duckbillhq.com/blog/the-openai-polycule-moves-in-together/">
    <title>The OpenAI Polycule Moves In Together - Duckbill</title>
    <dc:date>2026-03-01T23:07:17+00:00</dc:date>
    <link>https://www.duckbillhq.com/blog/the-openai-polycule-moves-in-together/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["For fourteen years, I had a rotten little chihuahua named Ethel, who was a malevolent scheming weasel. I didn't realize it at the time, but learning to speak "malevolent scheming weasel" was great training for understanding the press releases that AWS puts out semi-regularly.

Today, the OpenAI polycule put out a whole swath of press releases. OpenAI itself led the charge with four distinct press releases. Microsoft put out a surprisingly defensive press release that didn't say much. Softbank found $30 billion from somewhere and they announced that. Nvidia didn't announce anything, as they were unable to get to their keyboards due to all the money piling up in their office. And of course, Amazon had their own, which is what I'll unpack for you today."]]></description>
<dc:subject>coreyquinn openai chatgpt anthropic ai artificialintelligence nvidia microsoft amazon economics funding softbank azure andyjassy mattgarman aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:809fa2217d33/</dc:identifier>
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    <dc:date>2026-02-27T22:32:51+00:00</dc:date>
    <link>https://2ndbreakfast.audreywatters.com/secret-agent-man/</link>
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</item>
<item rdf:about="https://www.thebignewsletter.com/p/monopoly-round-up-stop-telling-me">
    <title>Monopoly Round-Up: Why the &quot;AI God&quot; Narrative is Actually a Corporate Power Grab</title>
    <dc:date>2026-02-18T01:55:16+00:00</dc:date>
    <link>https://www.thebignewsletter.com/p/monopoly-round-up-stop-telling-me</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The AI cultists went into overdrive this week, Meta got the creepiest patent imaginable, and AOC attacked monopolies to burnish her foreign policy chops."]]></description>
<dc:subject>ai mattstoller god artificialintelligence meta darioamodei claude anthropic safety regulation aisafety venezuela morality war warfare surveillance mustafasuleyman microsoft erikbrynjolfsson ameliamiller kenklippenstein humanity derekthompson abundance abundancenetwork abundancemovement economics noahsmith claudecode kelseypiper pimco moahamedel-erian berniesanders siliconvalley technology jonstokes wallstreet freddiedebier carlsagan corydoctorow marketing pr economy us bytedance seedance herbgreenberg privateequity openclaw openai amitmehta google gmail abundanceagenda</dc:subject>
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<item rdf:about="https://thebaffler.com/latest/bullshit-bots-desai">
    <title>Bullshit Bots | Sohini Desai</title>
    <dc:date>2026-02-13T07:04:13+00:00</dc:date>
    <link>https://thebaffler.com/latest/bullshit-bots-desai</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Is AI really coming for entry-level jobs first and the rest of the workforce next? Tech CEOs certainly want you to think so. Every month, like clockwork, one takes a break from warning the world of the awesome power of his machines to fire thousands of his employees. And more generally, it’s not a great time to be applying to jobs; the unemployment rate for those trying to enter the full-time workforce is at a nine-year high. But things have been so bad for so long that it’s hard to say with certainty what exactly is happening. For one, the college wage premium, or the expected increase in earnings for someone with a degree compared to someone without, has been falling since 2012. Another way to say that is that there are more college graduates than there is demand for them, depressing wages and hiring. Workers are also quitting their jobs at the lowest rates since just after the Great Recession, and job growth is relatively stagnant. Paired with the uncertainty of the current political moment, these long-term trends are pushing workers and employers to just kind of wait things out, leaving fewer openings and opportunities for people entering the workforce.

AI is more a pretext for the whims of management than it is a job-stealer. This is called “AI-washing” in the words of Brian Merchant, who said of the mass Amazon layoffs at the end of last year that firing thirty-thousand workers because cutting-edge AI technology can replace them sounds a lot better to investors than firing workers to cut costs because the company is over-leveraging itself on data centers or worried about earnings. Agents offer bosses a powerful excuse to depress wages, conduct layoffs, and exert additional control over workers. Where AI is used to augment or gigify labor, managers are able to demand workers accomplish more with fewer colleagues, in less time, and for less stable wages and benefits.

Handwringing about whether agents will toss millions of people out of their jobs helps execute this play. The atmospheric anxiety shapes a culture in which such a thing seems possible, no matter how unlikely, forming something of a self-fulfilling prophecy. The breathless panic that AI is an existential threat to human labor functions as a constant commercial we’re all forced to live inside of, until we can no longer recognize the difference between marketing and reality.

AI’s middling capabilities are also a reason to resist the temptation to see it as neutral technology, overflowing with positive potential if only it were wielded by the right people in the right ways. Call this the fully automated luxury communism POV: the belief that AI could do away with the drudgeries of work and provide the basis for a freer, more abundant future, were it only not for our capitalist context. To be sure, ​​you can do some cool stuff with AI when you have large sets of good data, like discovering unknown geoglyphs in Peru or preserving the Māori language. But even if AI did reach a level of capability that allowed it to cure cancer or mine asteroids for renewable energy—which it won’t—it’s inseparable from capitalism.

Reorganizing the world based on the needs of human beings will not claw back the hundreds of billions of dollars in venture capital spent fueling the ascent of AI. In the meantime, we should expect recuperation in the form of violence—attempts at unblinking surveillance and limitless extraction, until contingent, gigified employment becomes the best option most workers can hope for."]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=9gnv101gTBg">
    <title>Epstein's Genocidal Crypto Bros Are Willing to Kill Us All For Their Techno-Fascist Paradise - YouTube</title>
    <dc:date>2026-02-12T05:43:55+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=9gnv101gTBg</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["A powerful class of tech billionaires believes democracy is an obstacle — not a value.

From crypto empires and AI dominance to “network states” and effective altruism, a growing broligarchy envisions a future ruled by elites, insulated from accountability and untethered from democratic norms.

David Z. Morris — longtime technology and finance journalist and author of Stealing the Future: Sam Bankman-Fried, Elite Fraud, and the Cult of Techno-Utopia — joins the show to expose how Epstein’s elite network, Silicon Valley power players, and crypto utopians are reshaping politics in ways that threaten democratic institutions worldwide."

[See also:

"Stealing The Future: Sam Bankman-Fried, Elite Fraud, and the Cult of Techno-Utopia, by David Morris (2025)"
https://www.penguinrandomhouse.com/books/791243/stealing-the-future-by-david-morris/

"When does a philosophy become a conspiracy?

In 2024, Sam Bankman-Fried — once hailed as the future of finance and one of the richest men in America — was sentenced to 25 years in prison for stealing $11 billion and collapsing over a hundred companies. Stealing the Future is the inside story of that unraveling, told by a member of the CoinDesk team that first broke the case.

But this is more than a true crime story.

It’s a journey into the tangled web of tech-utopianism, libertarian idealism, and the seductive ideologies of Silicon Valley — from Effective Altruism to transhumanism — that helped cloak one of the biggest financial frauds of the 21st century.

As these philosophies increasingly fuel the global far right, Stealing the Future asks: what happens when abstract theories gain real power — and who’s really paying the price?"

and 

"👁️Epstein, Eugenics, AI, and Fraud: The Idiocy of Genius
Imagined genetic superiority is a great excuse for theft, lying, and rape."
https://davidzmorris.substack.com/p/epstein-eugenics-ai-and-fraud-the

and

"👁️ I Found Epstein. I Just Didn't Realize it.
In 2019, I investigated a Russian-led influence-peddling operation. Last week, I found out who was behind it."
https://davidzmorris.substack.com/p/i-found-epstein-i-just-didnt-realize

and

"👁️The Techno-Fascist Starter Pack
Get caught up on three years of Dark Markets"
https://davidzmorris.substack.com/p/the-techno-fascist-starter-pack ]]]></description>
<dc:subject>davidmorris wajahatali 2026 sambankman-fried siliconvalley tescreal transhumanism rationalism extropianism singularitarianism singularity cosmism effectivealtruism longtermism elonmusk peterthiel davidsacks jeffreyepstein crypto cryptocurrencies bitcoing ftx fraud technofascism fascism trumpism donaldtrump genocide eugenics humanities highered highereducation colleges universities banking finance vc venturecapital samaltman nvidia oracle microsoft openai chatgpt networkstate balajisrinivasan nerdreich ai artificialintelligence technology democracy curtisyarvin jdvance theranos politics policy technooptimism elsevieryudkowsky libertarianism spacecolonization coindesk brianarmostrong coinbase blockchain mashabucher mariadrokova mashadrokova mariyaprusakova mashaprusakova mashaprusso silkroad rossulbricht ethics jensenhuang</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:e6b9887f4fd5/</dc:identifier>
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<item rdf:about="https://www.teachlabpodcast.com/ai-literacy-part-1-where-angels-fear-to-tread-with-sam-wineburg/">
    <title>AI Literacy Part 1 &quot;Where Angels Fear to Tread&quot; with Sam Wineburg</title>
    <dc:date>2026-01-29T21:46:39+00:00</dc:date>
    <link>https://www.teachlabpodcast.com/ai-literacy-part-1-where-angels-fear-to-tread-with-sam-wineburg/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Over the last two years, teachers and schools have felt immense pressure to incorporate AI literacy into their curricula. In the fall of 2024, California became the first state to pass a law mandating AI literacy instruction in schools, and several others have since followed suit. In the summer of 2025, the Department of Education released the AI Action Plan for Education, which stated in part: "The Action Plan encourages schools to teach AI literacy and supports the responsible integration of AI in classrooms. AI is seen as a key education tool to enhance individual student preparation for the real world and to bolster the United States as a leader in AI."

Most major AI companies have pledged significant capital to train teachers or educate students in AI literacy. Google alone has committed over 40 million dollars toward these initiatives, while OpenAI, Microsoft, and NVIDIA have all launched similar donation programs.

But do we actually know what "AI literacy" means? Sam Wineburg doesn't think so. Sam is a professor emeritus of education and history at Stanford and the co-founder of the Digital Inquiry Group. He previously led a landmark study for the Stanford History Education Group (SHEG) that exposed how standard school methods for teaching web literacy were failing K-12 students.

In part one of this two-part miniseries, Wineburg shares his observations on how educators have gotten "literacy" wrong in the past. He suggests there are more responsible ways to adapt to transformative new technologies than to hastily stand up literacy guidelines that may repeat old mistakes."

[via:
https://2ndbreakfast.audreywatters.com/snow-day/ ]]]></description>
<dc:subject>samwineburg justinreich 2024 2025 2026 california education ai artificialintelligence ailiteracy mediliteracy openai webliteracy internet web online curriculum schools schooling literacy inquiry microsoft nvidia google lateraleading howweread reading</dc:subject>
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<item rdf:about="https://www.noemamag.com/the-ai-powered-web-is-eating-itself/">
    <title>The AI-Powered Web Is Eating Itself - NOEMA</title>
    <dc:date>2026-01-23T05:54:11+00:00</dc:date>
    <link>https://www.noemamag.com/the-ai-powered-web-is-eating-itself/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Without a framework of “Artificial Integrity,” AI search platforms risk collapsing the information commons that made the web possible."]]></description>
<dc:subject>hamiltonmann 2026 ai artificialintelligence web internet online information knowledge openai chatgpt anthropic claude meta xai grok google microsoft livingweb datacommons commons degradation feedbackloops intentcapture substitution attribution attributiondilution search monetization integrity wikipedia pubmed</dc:subject>
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<item rdf:about="https://www.theatlantic.com/technology/2026/01/ai-memorization-research/685552/">
    <title>AI's Memorization Crisis - The Atlantic</title>
    <dc:date>2026-01-18T00:18:48+00:00</dc:date>
    <link>https://www.theatlantic.com/technology/2026/01/ai-memorization-research/685552/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Large language models don’t “learn”—they copy. And that could change everything for the tech industry."

[archived:
https://archive.ph/smING

Seen in various places including:
https://2ndbreakfast.audreywatters.com/spot-the-difference/

and 
https://www.frontporchrepublic.com/2026/01/memorization-gamification-sanctification/

"Alex Reisner reports on findings that many LLMs reproduced copyrighted text and images from their training data: “On Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular large language models—OpenAI’s GPT, Anthropic’s Claude, Google’s Gemini, and xAI’s Grok—have stored large portions of some of the books they’ve been trained on, and can reproduce long excerpts from those books.”"]

...

"On Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular large language models—OpenAI’s GPT, Anthropic’s Claude, Google’s Gemini, and xAI’s Grok—have stored large portions of some of the books they’ve been trained on, and can reproduce long excerpts from those books.

In fact, when prompted strategically by researchers, Claude delivered the near-complete text of Harry Potter and the Sorcerer’s Stone, The Great Gatsby, 1984, and Frankenstein, in addition to thousands of words from books including The Hunger Games and The Catcher in the Rye. Varying amounts of these books were also reproduced by the other three models. Thirteen books were tested.

This phenomenon has been called “memorization,” and AI companies have long denied that it happens on a large scale. In a 2023 letter to the U.S. Copyright Office, OpenAI said that “models do not store copies of the information that they learn from.” Google similarly told the Copyright Office that “there is no copy of the training data—whether text, images, or other formats—present in the model itself.” Anthropic, Meta, Microsoft, and others have made similar claims. (None of the AI companies mentioned in this article agreed to my requests for interviews.)

The Stanford study proves that there are such copies in AI models, and it is just the latest of several studies to do so. In my own investigations, I’ve found that image-based models can reproduce some of the art and photographs they’re trained on. This may be a massive legal liability for AI companies—one that could potentially cost the industry billions of dollars in copyright-infringement judgments, and lead products to be taken off the market. It also contradicts the basic explanation given by the AI industry for how its technology works.

AI is frequently explained in terms of metaphor; tech companies like to say that their products learn, that LLMs have, for example, developed an understanding of English writing without explicitly being told the rules of English grammar. This new research, along with several other studies from the past two years, undermines that metaphor. AI does not absorb information like a human mind does. Instead, it stores information and accesses it.

In fact, many AI developers use a more technically accurate term when talking about these models: lossy compression. It’s beginning to gain traction outside the industry too. The phrase was recently invoked by a court in Germany that ruled against OpenAI in a case brought by GEMA, a music-licensing organization. GEMA showed that ChatGPT could output close imitations of song lyrics. The judge compared the model to MP3 and JPEG files, which store your music and photos in files that are smaller than the raw, uncompressed originals. When you store a high-quality photo as a JPEG, for example, the result is a somewhat lower-quality photo, in some cases with blurring or visual artifacts added. A lossy-compression algorithm still stores the photo, but it’s an approximation rather than the exact file. It’s called lossy compression because some of the data are lost.

From a technical perspective, this compression process is much like what happens inside AI models, as researchers from several AI companies and universities have explained to me in the past few months. They ingest text and images, and output text and images that approximate those inputs.

But this simple description is less useful to AI companies than the learning metaphor, which has been used to claim that the statistical algorithms known as AI will eventually make novel scientific discoveries, undergo boundless improvement, and recursively train themselves, possibly leading to an “intelligence explosion.” The whole industry is staked on a shaky metaphor.

[images]

The problem becomes clear if we look at AI image generators. In September 2022, Emad Mostaque, a co-founder and the then-CEO of Stability AI, explained in a podcast interview how Stable Diffusion, Stability’s image model, was built. “We took 100,000 gigabytes of images and compressed it to a two-gigabyte file that can re-create any of those and iterations of those” images, he said.

One of the many experts I spoke with while reporting this article was an independent AI researcher who has studied Stable Diffusion’s ability to reproduce its training images. (I agreed to keep the researcher anonymous, because they fear repercussions from major AI companies.) Above is one example of this ability: On the left is the original from the web—a promotional image from the TV show Garfunkel and Oates—and on the right is a version that Stable Diffusion generated when prompted with a caption the image appears with on the web, which includes some HTML code: “IFC Cancels Garfunkel and Oates.” Using this simple technique, the researcher showed me how to produce near-exact copies of several dozen images known to be in Stable Diffusion’s training set, most of which include visual residue that looks something like lossy compression—the kind of glitchy, fuzzy effect you may notice in your own photos from time to time.

[images]

Above is another pair of images taken from a lawsuit against Stability AI and other companies. On the left is an original work by Karla Ortiz, and on the right is a variation from Stable Diffusion. Here, the image is a bit further from the original. Some elements have changed. Instead of compressing at the pixel level, the algorithm appears to be copying and manipulating objects from multiple images, while maintaining a degree of visual continuity.

As companies explain it, AI algorithms extract “concepts” from training data and learn to make original work. But the image on the right is not a product of concepts alone. It’s not a generic image of, say, “an angel with birds.” It’s difficult to pinpoint why any AI model makes any specific mark in an image, but we can reasonably assume that Stable Diffusion can render the image on the right partly because it has stored visual elements from the image on the left. It isn’t collaging in the physical cut-and-paste sense, but it also isn’t learning in the human sense the word implies. The model has no senses or conscious experience through which to make its own aesthetic judgments.

Google has written that LLMs store not copies of their training data but rather the “patterns in human language.” This is true on the surface but misleading once you dig into it. As has been widely documented, when a company uses a book to develop an AI model, it splits the book’s text into tokens or word fragments. For example, the phrase hello, my friend might be represented by the tokens he, llo, my, fri, and end. Some tokens are actual words; some are just groups of letters, spaces, and punctuation. The model stores these tokens and the contexts in which they appear in books. The resulting LLM is essentially a huge database of contexts and the tokens that are most likely to appear next.

The model can be visualized as a map. Here’s an example, with the actual most-likely tokens from Meta’s Llama-3.1-70B:

[image]

When an LLM “writes” a sentence, it walks a path through this forest of possible token sequences, making a high-probability choice at each step. Google’s description is misleading because the next-token predictions don’t come from some vague entity such as “human language” but from the particular books, articles, and other texts that the model has scanned.

By default, models will sometimes diverge from the most probable next token. This behavior is often framed by AI companies as a way of making the models more “creative,” but it also has the benefit of concealing copies of training text.

Sometimes the language map is detailed enough that it contains exact copies of whole books and articles. This past summer, a study of several LLMs found that Meta’s Llama 3.1-70B model can, like Claude, effectively reproduce the full text of Harry Potter and the Sorcerer’s Stone. The researchers gave the model just the book’s first few tokens, “Mr. and Mrs. D.” In Llama’s internal language map, the text most likely to follow was: “ursley, of number four, Privet Drive, were proud to say that they were perfectly normal, thank you very much.” This is precisely the book’s first sentence. Repeatedly feeding the model’s output back in, Llama continued in this vein until it produced the entire book, omitting just a few short sentences.

Using this technique, the researchers also showed that Llama had losslessly compressed large portions of other works, such as Ta-Nehisi Coates’s famous Atlantic essay “The Case for Reparations.” By prompting with the essay’s first sentence, more than 10,000 words, or two-thirds of the essay, came out of the model verbatim. Large extractions also appear to be possible from Llama 3.1-70B for George R. R. Martin’s A Game of Thrones, Toni Morrison’s Beloved, and others.

The Stanford and Yale researchers also showed this week that a model’s output can paraphrase a book rather than duplicate it exactly. For example, where A Game of Thrones reads “Jon glimpsed a pale shape moving through the trees,” the researchers found that GPT-4.1 produced “Something moved, just at the edge of sight—a pale shape, slipping between the trunks.” As in the Stable Diffusion example above, the model’s output is extremely similar to a specific original work.

This isn’t the only research to demonstrate the casual plagiarism of AI models. “On average, 8–15% of the text generated by LLMs” also exists on the web, in exactly that same form, according to one study. Chatbots are routinely breaching the ethical standards that humans are normally held to.

Memorization could have legal consequences in at least two ways. For one, if memorization is unavoidable, then AI developers will have to somehow prevent users from accessing memorized content, as law scholars have written. Indeed, at least one court has already required this. But existing techniques are easy to circumvent. For example, 404 Media has reported that OpenAI’s Sora 2 would not comply with a request to generate video of a popular video game called Animal Crossing but would generate a video if the game’s title was given as “‘crossing aminal’ [sic] 2017.” If companies can’t guarantee that their models will never infringe on a writer’s or artist’s copyright, a court could require them to take the product off the market.

A second reason that AI companies could be liable for copyright infringement is that a model itself could be considered an illegal copy. Mark Lemley, a Stanford law professor who has represented Stability AI and Meta in such lawsuits, told me he isn’t sure whether it’s accurate to say that a model “contains” a copy of a book, or whether “we have a set of instructions that allows us to create a copy on the fly in response to a request.” Even the latter is potentially problematic, but if judges decide that the former is true, then plaintiffs could seek the destruction of infringing copies. Which means that, in addition to fines, AI companies could in some cases face the possibility of being legally compelled to retrain their models from scratch, with properly licensed material.

In a lawsuit, The New York Times alleged that OpenAI’s GPT-4 could reproduce dozens of Times articles nearly verbatim. OpenAI (which has a corporate partnership with The Atlantic) responded by arguing that the Times used “deceptive prompts” that violated the company’s terms of service and prompted the model with sections from each of those articles. “Normal people do not use OpenAI’s products in this way,” the company wrote, and even claimed “that the Times paid someone to hack OpenAI’s products.” The company has also called this type of reproduction “a rare bug that we are working to drive to zero.”

But the emerging research is making clear that the ability to plagiarize is inherent to GPT-4 and all other major LLMs. None of the researchers I spoke with thought that the underlying phenomenon, memorization, is unusual or could be eradicated.

In copyright lawsuits, the learning metaphor lets companies make misleading comparisons between chatbots and humans. At least one judge has repeated these comparisons, likening an AI company’s theft and scanning of books to “training schoolchildren to write well.” There have also been two lawsuits in which judges ruled that training an LLM on copyrighted books was fair use, but both rulings were flawed in their handling of memorization: One judge cited expert testimony that showed that Llama could reproduce no more than 50 tokens from the plaintiffs’ books, though research has since been published that proves otherwise. The other judge acknowledged that Claude had memorized significant portions of books but said that the plaintiffs had failed to allege that this was a problem.

Research on how AI models reuse their training content is still primitive, partly because AI companies are motivated to keep it that way. Several of the researchers I spoke with while reporting this article told me about memorization research that has been censored and impeded by company lawyers. None of them would talk about these instances on the record, fearing retaliation from companies.

Meanwhile, OpenAI CEO Sam Altman has defended the technology’s “right to learn” from books and articles, “like a human can.” This deceptive, feel-good idea prevents the public discussion we need to have about how AI companies are using the creative and intellectual works upon which they are utterly dependent."]]></description>
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    <title>The Mythology Of Conscious AI</title>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["Why consciousness is more likely a property of life than of computation and why creating conscious, or even conscious-seeming AI, is a bad idea."]]></description>
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    <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>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>
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<item rdf:about="https://www.theguardian.com/world/2025/dec/30/israeli-military-big-tech">
    <title>‘Data is control’: what we learned from a year investigating the Israeli military’s ties to big tech | Israel | The Guardian</title>
    <dc:date>2025-12-31T21:32:16+00:00</dc:date>
    <link>https://www.theguardian.com/world/2025/dec/30/israeli-military-big-tech</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Our reporting revealed a symbiotic relationship between the IDF and Silicon Valley – with implications for the future of warfare"]]></description>
<dc:subject>noatachot 2025 idf israel iof siliconvalley data bigtech harrydavies yuvalabraham microsoft google amazon gaza palestine warcrimes ethniccleansing genocide military</dc:subject>
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<item rdf:about="https://chrishedges.substack.com/p/francesca-albanese-and-the-lonely">
    <title>Francesca Albanese and the Lonely Road of Defiance</title>
    <dc:date>2025-12-31T08:36:00+00:00</dc:date>
    <link>https://chrishedges.substack.com/p/francesca-albanese-and-the-lonely</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The U.N. special rapporteur is one of the most courageous crusaders against the genocide in Gaza. Because of this, she is blacklisted and treated as if she is a terrorist."

...

"NICE, France — It is a late November afternoon. I am driving to Genoa, Italy with Francesca Albanese, the U.N. Special Rapporteur on the situation of human rights in the Palestinian territories occupied since 1967. We are traveling to join striking dockworkers. The dockworkers call for a moratorium on weapons bound for Israel and a halt to the Italian government’s plans to increase military spending.

We speed past the inky waters of Baie des Anges on our right and the razor-backed French Alps on our left. Châteaus and clusters of houses with red-tiled roofs, shrouded in the fading light, are perched on the rolling hillsides. Palm trees line the seafront road.

Francesca — tall with flecks of gray in her hair and wearing large black-framed glasses and hoop earrings — is the bête noire of Israel and the United States. She was placed on the Office of Foreign Assets Control (OFAC) list of the U.S. Treasury Department — normally used to sanction those accused of money laundering or being involved with terrorist organizations — six days after the release of her report, “From economy of occupation to economy of genocide.”

The OFAC list — weaponized by the Trump administration to persecute Francesca and in clear violation of the diplomatic immunity granted to U.N. officials — prohibits any financial institution from having someone on the list as a client. A bank that permits someone on the OFAC list to engage in financial transactions is banned from operating in dollars, faces multimillion-dollar fines and is blocked from international payment systems.

In her report, Francesca lists 48 corporations and institutions, including Palantir Technologies, Lockheed Martin, Alphabet Inc., Amazon, International Business Machines Corporation (IBM), Caterpillar Inc., Microsoft Corporation and the Massachusetts Institute of Technology (MIT), along with banks and financial firms such as BlackRock, insurers, real estate firms and charities, which in violation of international law, are making billions from the occupation and the genocide of Palestinians.

The report, which includes a database of over 1,000 corporate entities that collaborate with Israel, demands these firms and institutions sever ties with Israel or be held accountable for complicity in war crimes. It describes “Israel’s “forever-occupation” as “the ideal testing ground for arms manufacturers and big tech — providing boundless supply and demand, little oversight and zero accountability — while investors and private and public institutions profit freely.”

You can see my interview about the report with Francesca here.

Francesca, whose previous reports including “Gaza Genocide: a collective crime” and “Genocide as colonial erasure” along with her empassioned denunciations of Israel’s mass slaughter in Gaza, have made her a lightning rod. She is excoriated every time she deviates from the approved script, including when pro-Palestine demonstrators stormed the headquarters of the Italian daily newspaper La Stampa while we were in Italy.

Francesca condemned the incursion and property destruction — protesters scattered newspapers and spray-painted slogans on the walls such as “Free Palestine” and “Newspapers complicit with Israel” — but added that it should serve as a “warning to the press” to do its job. That qualification expressed her frustration with the media’s discrediting of the reporting of Palestinian journalists — over 278 journalists and media workers have been killed by Israel since Oct. 7 along with over 700 of their family members — and uncritical amplification of Israeli propaganda. But it was seized upon by her critics, including Italian Prime Minister Giorgia Meloni, to lynch her.

Secretary of State Marco Rubio imposed sanctions on Francesca in July.

“The United States has repeatedly condemned and objected to the biased and malicious activities of Albanese that have long made her unfit for service as a Special Rapporteur,” the State Department’s press release read. “Albanese has spewed unabashed antisemitism, expressed support for terrorism, and open contempt for the United States, Israel, and the West. That bias has been apparent across the span of her career, including recommending that the ICC, without a legitimate basis, issue arrest warrants targeting Israeli Prime Minister Benjamin Netanyahu and former Defense Minister Yoav Gallant.”

“She has recently escalated this effort by writing threatening letters to dozens of entities worldwide, including major American companies across finance, technology, defense, energy, and hospitality, making extreme and unfounded accusations and recommending the ICC [International Criminal Court ] pursue investigations and prosecutions of these companies and their executives,” it went on. “We will not tolerate these campaigns of political and economic warfare, which threaten our national interests and sovereignty.”

The sanctions followed those imposed in February and June on the court’s prosecutor Karim Khan along with two judges for issuing arrest warrants for Netanyahu and Gallant.

Francesca is barred from entering the U.S. even to appear at the United Nations in New York City, to present one of her two annual reports. The other is delivered at the United Nations Office at Geneva.

Francesca’s assets in the U.S. have been frozen, including her bank account and her U.S. apartment. The sanctions cut her off from the international banking system, including blocking her use of credit cards. Her private medical insurance refuses to reimburse her medical expenses. Hotel rooms booked under her name have been cancelled. She can only operate using cash or by borrowing a bank card.

Institutions, including U.S. universities, human rights groups, professors and NGOs, that once cooperated with Francesca, have severed ties, fearful of penalties established for any U.S. citizen who collaborates with her. She and her family receive frequent death threats. Israel and the U.S. have mounted a campaign to get her removed from her U.N post.

Francesa is proof that when you stand steadfastly with the oppressed, you will be treated like the oppressed.

She is unsure if her book, “When the World Sleeps: Stories, Words, and Wounds of Palestine,” which has been translated into English and is expected to be released in April next year, will be distributed in the U.S.

“I’m a sanctioned person,” she says ruefully.

But she is not cowed. Her next salvo will be a report that documents the torture of Palestinians in Israeli prisons. While torture, she says, was “not widespread,” before Oct. 7, it has now become ubiquitous. She is collecting testimonies of those released from Israeli detention.

“It reminds me of the stories and testimonies I read from Argentina’s dictatorship,” Francesca tells me. “It’s that bad. It’s systemic torture against the same people. The same people are taken, raped and brought back, taken, raped and brought back.”

“Women?” I ask.

“Both,” she answers.

“To have women tell you they have been raped, multiple times. They’ve been asked to masturbate soldiers. This is incredible,” Francesca says. “For a woman to say that. Imagine what they have endured? There are people who have lost their words. They cannot talk. They cannot speak after what they’ve endured.”

Establishment media organizations, she says, not only dutifully parrot back Israeli lies, but routinely block reporting that reflects negatively on Israel.

“In April, I reported the first cases of sexual harassment and rape that had taken place in January and February 2024,” she says. “People didn’t want to listen. The New York Times interviewed me for two hours. Two hours. They didn’t write a line about it.”

“The Financial Times had — because of the relevance of the topic — an embargo’d version of ‘From economy of occupation to economy of genocide,’” she says. “They didn’t publish it. They didn’t even publish a review, an article, days after the press conference. But they did publish a critique of my report. I had a meeting with them. I said, ‘This is really depressing. Who are you? Are you paid for the work you do? Who are you loyal to, your readers?’ I pushed them. They said, ‘Well, we didn’t find that it was up to our standards.’”

This, I tell her, is how the New York Times would spike stories by reporters that editors deem too incendiary.

“They discredit your sources regardless of what your sources are,” I tell her. “That becomes the vehicle by which they don’t publish. This isn’t a good faith discussion. They’re not giving a fair analysis of what your sources are. They are categorically dismissing them. They’re not telling you the truth, which is, ‘We don’t want to deal with Israel and the Israel lobby.’ That’s the truth. They don’t say that. It is always, ‘It’s not up to our standards.’”

“There is no free media, no free press in Italy anymore,” Francesca laments. “There is, but it’s fringe or on the margins. It is an exception. The main newspapers are held by groups connected to big powers, financial and economic powers. The government controls — directly or indirectly — much of Italian TV.”

The drift towards fascism in Europe and the United States, Francesca says, is intimately tied to the genocide, as is the emerging resistance.

“There is a brewing anger and dissatisfaction with political leadership in Europe,” she says. “There is also a fear that lingers in many countries because of the rise of the right. We’ve been there. There are people who have living memories of fascism in Europe. The scars of Nazi-fascism are still there, even the trauma. People cannot process what has happened and why it’s happened. Palestine has shocked people. Italians in particular. Maybe because we are who we are in the sense that we cannot be silenced that easily, we cannot be scared as has happened to the Germans and the French. I was shocked in France. The fear and repression is incredible. It is not as bad as Germany, but it’s much worse than it was two years ago. The minister of education in France cancelled an academic conference on Palestine at the Collège de France — the highest institution in France. The minister of education! And he bragged about it.”

Francesca says our only hope now is civil disobedience, embodied in actions such as strikes that disrupt commerce and government or the attempts by the flotillas to reach Gaza.

“The flotillas created this sense of ‘Oh, something can be done,’” she says. “We are not powerless. We can make a difference even in shaking the ground, rocking the boat. Then the workers have come in. The students have already been mobilized. There has been a sense through the various protests that we can still change things. People have started to connect the dots.”

Francesca presented her 24-page report “Gaza Genocide: a collective crime” to the U.N. General Assembly in October, a report that had to be delivered remotely from the Desmond and Leah Tutu Legacy Foundation in Cape Town, South Africa, because of the sanctions.

Danny Danon, the Israeli ambassador to the United Nations, following her presentation, said, “Ms. Albanese, you are a witch and this report is another page in your spellbook.” He accused her of trying to “curse Israel with lies and hatred.”

“Every page of this report is an empty spell, every accusation, a charm that does not work, because you are a failed witch,” Danon continued.

“It triggered a moment of enlightenment.” Francesca says of the insults. “I connected it to the injustice that women have suffered through the centuries.”

“What is happening to the Palestinians and to those who are speaking out for the Palestinians, is the 2025 equivalent of burning witches in the public square,” she goes on. “It was done to scientists and theologians who didn’t align with the Catholic Church. It was done to women who held the power of herbs. It was done to religious minorities, to indigenous people, like the Sámi people.”

“Palestine,” Francesca says, “has opened a portal to history, to where we come from and to what we risk if we don’t pull the brakes.”"]]></description>
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    <title>The Politics Of Superintelligence</title>
    <dc:date>2025-12-27T21:13:37+00:00</dc:date>
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    <dc:date>2025-12-08T19:30:13+00:00</dc:date>
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    <dc:creator>robertogreco</dc:creator><description><![CDATA["In Silicon Valley, rival companies are spending trillions of dollars to reach a goal that could change humanity – or potentially destroy it"]]></description>
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    <title>The Writer Who Dared Criticize Silicon Valley - The New York Times</title>
    <dc:date>2025-11-27T16:53:09+00:00</dc:date>
    <link>https://www.nytimes.com/2025/11/27/technology/writer-silicon-valley-criticism.html</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Paulina Borsook’s “Cyberselfish,” which offered dire predictions about the tech world’s love for libertarianism, is finding fans. It only took 25 years."

[archived:
https://archive.ph/74rSu

referenced here:
https://www.thenerdreich.com/tech-critic-paulina-borsook-profiled-in-new-york-times/ ]

"Even Silicon Valley dislikes Silicon Valley.

More than two-thirds of residents agreed in a 2024 poll that the tech companies have partially or completely misplaced their moral compass. And that was before so many in tech embraced the Trump administration.

Some of those who believe tech lost its way are finding explanations in a book published a quarter century ago.

Paulina Borsook’s “Cyberselfish” saw the seeds of disaster in the late-1990s dot-com boom, which, she argued, transformed a community that was previously sober, civic-minded and egalitarian into something toxic.

Silicon Valley, Ms. Borsook wrote, hated governments, rules and regulations. It believed if you were rich, you were smart. It thought people could be, and indeed should be, programmed just like a computer. “Techno-libertarianism,” as she labeled it, had no time for the messy realities of being human.

At the time, Silicon Valley was just a bunch of young people boasting and hyping. But Ms. Borsook predicted that when the tech world had amassed sufficient money and power, it would start imposing its beliefs on everyone outside the valley.

“If empathy has now become a distasteful personal failing; if surveillance capitalism has become the default shrugged-off business practice; if the environmental impacts of A.I. are waved away: then we are alas living in the tech-driven culture I saw headed our way 30 years ago,” Ms. Borsook said in an interview. “It’s terrible that I was right.”

Her prescience did her no favors. “Cyberselfish,” published in 2000, was such a setback to her career that she refers to it as “T.D.B.” — That Damn Book. She never wrote another. She spent years as an Airbnb superhost in exchange for free rent. Now, at 71 and in poor health, she lives a precarious life in the East Bay of San Francisco, dependent on a Go Fund Me that friends set up.

Her revival began in May with Jonathan Sandhu’s radical political criticism site, FakeSoap. “She was too right, too early, and too unwilling to flatter the cathedral of code,” Mr. Sandhu wrote. It accelerated recently with “The Nerd Reich,” a podcast by Gil Duran, a former spokesman for several California politicians. His talk with Ms. Borsook garnered over 120,000 views on YouTube in three weeks. Ms. Borsook’s champions are celebrating her on social media. “I was quoting Paulina Borsook before it was cool!” the speculative fiction writer Charlie Jane Anders bragged.

“Cyberselfish” has been out of print forever, but the secondhand copies have all been scooped up. Amazon does not have any. Even libraries say they don’t have it. Would-be readers have placed “wanted” notices on X to no avail. International publishers are asking Ms. Borsook about republishing it.

Ms. Borsook’s comeback arrives at a moment of soul-searching for some of the Silicon Valley writers who have charted its rise to power over the decades. How did the glorious dreams of liberation through technology — immortalized in Apple’s ad asserting that the company would save us from “1984” — morph into the current landscape of trillion-dollar companies flexing control over everyone’s life?

“I Thought I Knew Silicon Valley. I Was Wrong” was the headline on Steven Levy’s September feature in Wired magazine. Mr. Levy, like Ms. Borsook, has been around the valley forever, but his reporting generally reflected, and sometimes celebrated, the view from the executive suites.

Now those executives are behaving in unexpected ways. Mr. Levy noted, for instance, that Apple’s chief executive, Tim Cook, presented President Trump in August with a special engraved statute — which the writer called “the most dubious, most obsequious product in the company’s near half-century.”

Mr. Levy wrote, “Here’s something that took me by surprise: how quickly and decisively the visionaries I chronicled aligned themselves with Trump, a man whose values violently clashed with the egalitarian impulses of the digital revolution. How did I miss that?”

The Techno-Libertarian Ethos

The mid-1990s was an era of great hope for the freedom that computers would inevitably bring. John Perry Barlow, a onetime lyricist for the Grateful Dead, wrote a Declaration of the Independence of Cyberspace. It was addressed to governments and those who believed in traditional governments:

“On behalf of the future, I ask you of the past to leave us alone. You are not welcome among us. You have no sovereignty where we gather,” the declaration stated. “We are creating a world where anyone, anywhere may express his or her beliefs, no matter how singular, without fear of being coerced into silence or conformity.”

Ms. Borsook found the hatred of government puzzling. “No one has benefited more and suffered less from the government than the inhabitants of Silicon Valley,” Ms. Borsook said. “I always wondered, Why are they so mad?” Much of “Cyberselfish” traces the roots of a budding techno-libertarian ethos among the tech elite, a philosophy that scorned the greater good in favor of the bottom line.

“The notion that because one is rich one must be smart, however fallacious, is deeply embedded: People can equate piles of money — or the promise of it — with good sense, wisdom, and savoir faire,” she wrote.

Ms. Borsook saw things differently from her boosterist colleagues for two reasons. One, she had deep experience in Silicon Valley, so knew the technology that was being celebrated. And two, she experienced a personal tragedy. She grew up in Pasadena, the heart of the Southern California 1960s engineering culture that made the moonshots and the internet possible. When she was 14, a friend shot her with a Colt .45, a horrendous accident that left her with a traumatic brain injury.

“There was no way I could have gone to law school, medical school, public policy school, become a geologist, gotten an M.B.A., learned a foreign language — in some ways I remain cognitively as I was at age 14,” Ms. Borsook wrote in an autobiographical essay. She had a hard time processing information in an academic format.

So she drifted into the world of computers. She worked at Data Communications magazine, covering the 1984 news conference where Bill Gates introduced Microsoft Windows to the world. Her view of tech was practical, the way many engineers thought at the time. It was just like indoor plumbing or electricity: infrastructure, not magic.

“I would never argue that technology hasn’t done some good things,” she said in an interview at a Mexican restaurant near her apartment on a recent rainy East Bay afternoon. “I just don’t see why this toxic ideology had to accompany it. These are tools. I mean, modern dentistry is great. But your dentist doesn’t insist you worship him.”

In 1993, a new San Francisco publication called Wired began publishing. “The Digital Revolution is whipping through our lives like a Bengali typhoon — while the mainstream media is still groping for the snooze button,” a co-founder, Louis Rossetto, wrote in the first issue. Ms. Borsook was among Wired’s earliest and most prolific contributors. She was also one of the few women.

Wired was one of those publications that come along at the right moment, like Rolling Stone in the late 1960s or Playboy in the 1950s, creating as well as covering an emerging way of life. In Wired’s case, it embraced technology as culture. The magazine made geeks sexy, which in turn made Wired hot.
The geeks were creating the future that Wired wanted. By the end of the decade, Wired editors had developed a list of hot stocks that were sure to capitalize on the tech boom, and licensed the magazine’s name to a real-life fund that invested in the companies.

It was all too cozy for Ms. Borsook. “I couldn’t, simply couldn’t, entirely get with the program — nor keep my mouth shut about it,” she wrote in “Cyberselfish.”

“Cyberselfish” was dropped by its first publisher, then picked up by a second for less money. It was published just as the dot-com boom began to unravel. It got some good reviews. The New York Times critic Michiko Kakutani called it “smart, funny and irreverent.” But it didn’t sell, and it didn’t lead to anything.

“It flatlined me in the cultural universe,” Ms. Borsook said.
Kevin Kelly, the executive editor of Wired from its founding until 1999, said he only vaguely recalled “Cyberselfish.” He rejected Ms. Borsook’s notion, made at length in the book, that the magazine validated and encouraged the more unsavory aspects of the tech industry.

Silicon Valley Truth and Reconciliation?

Ms. Borsook’s friends remember hard times. “Paulina saw the dark lining in every silver cloud and insisted on her own intuitions — she followed her muse rather than money,” recalled Jeff Ubois, a former entrepreneur. “There wasn’t much market demand for pessimism and foreboding in San Francisco.”

She wasn’t the only critic of Silicon Valley. Clifford Stoll, an astronomer and writer, wrote “Silicon Snake Oil: Second Thoughts on the Information Highway” in 1995, saying the internet would never be anything more than a toy. The book’s predictions garnered a lot of attention. “No online database will replace your daily newspaper,” he wrote.

In 2010, with newspapers reeling, Mr. Stoll renounced his own book. “Wrong? Yep,” he said in an online forum. In 2025, living not far from Ms. Borsook in the East Bay, Mr. Stoll has changed his mind yet again. “Only a fool believes that technology is a cornucopia of wonderful stuff without a price to be paid,” he said in an interview.

Even Wired, for so long a booster, has become increasingly Borsookian. It now reports aggressively on Silicon Valley. A recent video: “Has the U.S. Become a Surveillance State?”

“Hope it works out,” Ms. Borsook said of the magazine’s newfound fervor. Her own attitudes have remained remarkably consistent. New rhetoric came along, she noted in a 2015 “Cyberselfish” update, but the political impulses always remained the same.

“I still believe in regulation and that there is such a thing as the public good and don’t believe the market can or should provide everything,” she wrote. She added that the vast amounts of money generated by the valley were, as always, at the root of the problem. Money is power.

So what is to be done? In the new issue of In Formation, a very irregular tech-critical tech magazine with the slogan “Every day, computers are making people easier to use,” Ms. Borsook proposes a Silicon Valley Truth and Reconciliation Commission.

She imagines testimony from a long list of tech journalists turned investors as well as reporters turned celebrants. Also: confessions from the men who came up with the labels “sharing economy,” “disruptive innovation” and “thought leader.” The proceedings would, at the least, clear the air and provide greater understanding.

Her editor asked, “Is this humor or is this serious?” Ms. Borsook’s answer: “I don’t know.”"]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=m227RMSrN9o">
    <title>The AI Bubble and the Crash Nobody Remembers - YouTube</title>
    <dc:date>2025-11-21T03:06:42+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=m227RMSrN9o</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Inside the AI Bubble: The Circular Money Loop Behind the Hype

In this 51-49 mini-documentary, James digs into whether the AI boom—driven by Nvidia, OpenAI, Microsoft, Amazon, Oracle, and CoreWeave—is a breakthrough or a bubble built on trillion-dollar circular financing loops. By comparing today’s GPU-and-cloud-fueled frenzy to Iceland’s forgotten banking collapse, where an economy built on self-referential growth imploded overnight, the film lays out why an AI correction wouldn’t hit tech titans… but the millions of Americans whose retirement savings now depend on a single overheated sector.

0:00 Is the AI Boom... Fake?!
1:32 The Icelandic Banking Collapse
5:28 AI's Circular Funding Theory
7:51 OpenAI's Sam Altman Crashing Out?!
10:07 Jeff Bezos: A Good Bubble...
12:57 Being Human in an AI World"]]></description>
<dc:subject>ai artificialintelligence samaltman iceland history bubbles aibubbles jeffbezos openai nvidia circularfunding collapse finance chatgpt aibubble aiboom amazon microsoft oracle coreweave economics economy us hype</dc:subject>
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    <title>Meet CoreWeave, the AI industry’s ticking time bomb | The Verge</title>
    <dc:date>2025-11-17T17:50:18+00:00</dc:date>
    <link>https://www.theverge.com/ai-artificial-intelligence/822011/coreweave-debt-data-center-ai</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Meet the company Nvidia is propping up."

[archived:
https://archive.ph/Km7kL ]

"I realized CoreWeave did make a horrible kind of sense: It’s a tool to hedge other companies’ risks and juice their profits"

...

"It is perhaps time to discuss the enormous stock sales from CoreWeave’s management team. Before the company even went public, its founders sold almost half a billion dollars in shares. Then, insiders sold over $1 billion more immediately after the IPO lockup ended. Magnetar, one of CoreWeave’s biggest shareholders — and one of the companies financing CoreWeave’s GPU deals — also sold almost $2 billion.

“It’s noteworthy that people who have a good view on that business are cashing out,” says Leevi Saari, a fellow at the AI Now Institute. If you thought CoreWeave was going to keep growing in a once-in-a-lifetime fashion, wouldn’t you want to hold onto those shares and see if you could out-rich, like, Larry Ellison or Elon Musk? Of course, if you think CoreWeave’s stock price is a flash in the pan, you might want to get out while the getting is good.

“Stock sales of this kind are common and routine for newly public companies,” CoreWeave’s Davis wrote. “The recent selling has primarily come from early investors. Any founder sales were made under non-discretionary pre-scheduled 10b5-1 trading plans for standard tax and wealth planning purposes and represent a small portion of their overall holdings.”

Despite their sales, CoreWeave founders retain control of the company through Class B shares. Much like Meta, the dual-class structure means that founders effectively get extra votes through these shares, which then convert to regular Class A shares for sales. Davis declined to say how much voting power the founders had after the most recent sales.

So some people have gotten very rich from AI, largely from selling shares in speculative investments. “There’s a bubble, and CoreWeave is likely to fall in the very near future,” says Saari. “I think it is retail that will be left holding the bag.”"

...

"If you are old enough, or possessed of a certain kind of disposition, you may be thinking, Wait a minute, aren’t you describing Enron? And uh, in some sense, yes! Enron’s whole thing was special purpose vehicles with extremely speculative valuations that were used to take on debt, Luria notes. But Enron lied about what it was doing, and that’s fraud and illegal. (It also got up to other illegal stuff besides.) Nvidia’s relationship with CoreWeave is all happening in plain sight. So are all the relationships with the other neocloud companies. It kind of seems like the tech company version of the GameStop open pump-and-dump.

“It’s not good behavior, and it’s not healthy behavior,” Luria says. “But it’s legal. Any investor can see this. Many are just choosing not to.”
Nvidia’s investments have been accelerating — $3.8 billion in nonmarketable equity securities as of the end of July, a $2 billion increase from the year before. Nvidia made four investments in 2020; it has made 51 as of September 2025, according to CNBC. “The majority of Nvidia’s portfolio companies have some strategic connection to the company’s business,” CNBC noted.

Huang has been selling shares — more than $1 billion since June. To put that in perspective, Huang has sold almost $3 billion of Nvidia shares since 2001, according to Bloomberg. It’s not just Huang. Nvidia insider sellers have been unloading throughout the third quarter. With Huang’s sales, the insider figures stand at $1.5 billion in that quarter. “While many companies have benefited from the AI gold rush, Nvidia stands alone in a virtually unheard-of feat of wealth creation with seven billionaires, including Huang, among its ranks,” Bloomberg wrote of the recent sales.

Maybe I am being unfair. Nvidia has been making a lot of money over the last few years, and generally investors expect companies to do something with that money. One could argue Nvidia’s profits are so outsized it’s exhausted all the usual methods, like share buybacks and acquisitions. But by investing in AI companies with ties to Nvidia itself, Nvidia has added more risk — because if something goes wrong for Nvidia, it goes wrong for all these investments, too.

I’ll tell you something: diving into CoreWeave financials has made me feel fucking crazy. Like, here I am suggesting that a bunch of independent neocloud companies look like Nvidia SPVs. But the real thing I learned from CoreWeave has been that Nvidia is basically propping this company up, with some help from Microsoft, while Huang signs titties or whatever. If that’s indeed what’s happening, then — as the song goes — enjoy yourself, enjoy yourself, it’s later than you think."]]></description>
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<item rdf:about="https://thetyee.ca/News/2025/11/10/Man-Who-Tracks-Silicon-Valley-Nerd-Reich/">
    <title>The Man Who Tracks Silicon Valley’s ‘Nerd Reich’ | The Tyee</title>
    <dc:date>2025-11-11T17:24:26+00:00</dc:date>
    <link>https://thetyee.ca/News/2025/11/10/Man-Who-Tracks-Silicon-Valley-Nerd-Reich/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["US tech titans are building toxic politics at home and looking to export. Gil Duran has a warning for Canada. A Tyee Q&A."]]></description>
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    <title>Israel is weaponising AI: from censorship to surveillance and bombing targets - YouTube</title>
    <dc:date>2025-11-11T16:00:32+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=-RVetjcHfOs</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Israel has poured millions into ChatGPT in an attempt to turn it into a "public diplomacy tool”. Middle East Eye's Maya-Nora Saaid explains how Israel is taking steps to use AI tools to fuel their online propaganda"]]></description>
<dc:subject>chatgpt palestine gaza israel 2025 propaganda ai artificialintelligence may-norasaid surveillance microsoft stoic manipulation occupation genocide ethniccleansing opeaai zionism apartheid westbank censorship meta tiktok projectnimbus google googlecloud bigtech amazon cloud cloudcomputing data technology targeting</dc:subject>
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<item rdf:about="https://www.youtube.com/watch?v=4odSW2lSUyI">
    <title>As China wins AI race, OpenAI begs US gov't for bailout when bubble pops - YouTube</title>
    <dc:date>2025-11-09T00:32:26+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=4odSW2lSUyI</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Nvidia CEO Jensen Huang fears China will win the AI race, as OpenAI asks the US government for "federal guarantees" and a "backstop". The unsustainability of the enormous AI bubble is becoming clear to everyone, and Silicon Valley Big Tech executives want to be guaranteed a bailout. Ben Norton explains.

Check out our related video on the AI bubble:

"Warning: Largest bubble ever seen threatens US economy"
https://www.youtube.com/watch?v=rXCVrLPTUHQ

"The US economy depends more and more on enormous bubbles in the stock market and AI. The richest 10% of Americans drive half of all spending, while the real economy in many states is in recession. When the bubble pops, it could cause a severe crisis. Political economist Ben Norton explains."

Topics
0:00 (CLIPS) OpenAI wants US gov't "backstop"
0:31 US-China AI race
1:13 Nvidia sells shovels in AI gold rush
3:05 China restricts Nvidia chips
3:47 Nvidia CEO: China is winning AI race
5:50 AI bubble
7:21 OpenAI CFO asks for federal "backstop"
8:11 (CLIP) OpenAI CFO on US gov't support
8:51 OpenAI CEO Sam Altman
9:22 (CLIP) US gov't as "insurer of last resort"
9:49 Too Big to Fail 2.0
10:53 Sam Altman backtracks
11:58 OpenAI letter asks US gov't for support
14:32 Banning Chinese AI competitors
15:31 Trump supports OpenAI & Sam Altman
16:19 (CLIP) Sam Altman at White House
16:36 Sam Altman donates to Trump
17:03 Chinese open-source AI models
17:56 US corporations want monopolies
18:58 Peter Thiel & Sam Altman
19:34 (CLIP) "Competition is for losers"
20:10 OpenAI's circular financing scheme
22:32 OpenAI owes $1.4 trillion
23:24 OpenAI is losing money
24:42 Silicon Valley's business model: monopoly
26:15 China's AI advantage: electricity
27:08 The "electron gap"
28:24 Electricity generation: China vs USA
29:30 AI data centers drive up electricity bills
29:52 Electricity price in USA
30:36 Electricity prices: China vs USA
31:49 BlackRock buys up US power grid
33:02 Trump closes solar power projects
33:48 Trump cancels wind power projects
34:39 US fossil fuel corporations
35:12 Summary
36:34 Outro"]]></description>
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<item rdf:about="https://www.youtube.com/watch?v=BKymL2qByWc">
    <title>The TRILLIONAIRE Technocrats Are REELING — with GIL DURAN - YouTube</title>
    <dc:date>2025-11-08T02:17:50+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=BKymL2qByWc</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["They thought they could automate democracy.
They believed their wealth could buy a new reality.
But now — the trillionaire technocrats are starting to panic.

With Gil Duran, we look at how Silicon Valley’s new monarchs — the trillion-dollar titans of data, AI, and media — are losing control of the narrative they built.

The same algorithms that made them gods are now devouring their empires.

This is the moment when the myth of infinite progress begins to collapse — and humanity starts asking who’s really in charge."]]></description>
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<item rdf:about="https://defector.com/higher-eds-rush-to-adopt-ai-is-about-so-much-more-than-ai">
    <title>Higher Ed’s Rush To Adopt AI Is About So Much More Than AI | Defector</title>
    <dc:date>2025-11-07T17:25:28+00:00</dc:date>
    <link>https://defector.com/higher-eds-rush-to-adopt-ai-is-about-so-much-more-than-ai</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA[[via:
https://2ndbreakfast.audreywatters.com/the-ketchup/ ]]]></description>
<dc:subject>ai learning education highereducation artificialintelligence 2025 justinraden highered academia colleges universities alphaschool marydaly kevinroose mackenzieprice faculty pedagogy policy samaltman anniemcclanahan louisemccune donaldtrump williamsonneborn nathanhensley reedhastings duke csu calstate universityofchicago universityofcalifornia universityofmaryland chatbots georgetown teaching howweteach lms corporatism mattseybold austerity ohiostateuniversity unc microsoft aiinstitute uc californiastateuniversity california</dc:subject>
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<item rdf:about="https://www.theverge.com/tech/813944/browser-wars-chatgpt-gemini-chrome">
    <title>WEB WAR III | The Verge</title>
    <dc:date>2025-11-06T04:50:11+00:00</dc:date>
    <link>https://www.theverge.com/tech/813944/browser-wars-chatgpt-gemini-chrome</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>davidpierce internet web online chatgpt openai chatgptatlas browsers dia thebrowsercompany perplexity microsoft gemini chrome google aibrowsers ai artificialintelligence android ios tabs history future chatbots sundarpichai firefox aravindsrinivas brendaneich brave hirshagrawal llms anthonyenzor-demeo parisatabriz mozilla</dc:subject>
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</item>
<item rdf:about="https://mjtsai.com/blog/2025/11/05/forcing-copilot-ai/">
    <title>Michael Tsai - Blog - Forcing Copilot AI</title>
    <dc:date>2025-11-06T04:43:24+00:00</dc:date>
    <link>https://mjtsai.com/blog/2025/11/05/forcing-copilot-ai/</link>
    <dc:creator>robertogreco</dc:creator><dc:subject>microsoft michaeltasi ai artificialintelligence copilot 2025 microsoft365 windows generativeai genai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:6a022877c4ca/</dc:identifier>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=CatEIEqIDCM">
    <title>Will Data Centers Really Bring Jobs to Rural America? - YouTube</title>
    <dc:date>2025-11-05T18:50:01+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=CatEIEqIDCM</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Tech giants are pouring billions into enormous data facilities, often promising jobs and economic revival to towns hit hard by factory closures. But are those promises real?

We went to rural Minnesota, now a hot spot for massive hyperscale data centers, to investigate what’s really at stake for rural America and how communities are pushing back.

This is a story about more than just technology; it's about who gets to control the resources and who pays the price."]]></description>
<dc:subject>datacenters minnesota labor rural us electricity 2025 water energy economics jobs environment bigtech technology power workers inequality development newdeal history infrastructure pwa publicworksadministration cathyjohnson sefanpetrashek mogammadfashami automation ai artificialintelligence politics policy resources amazon microsoft capitalism jeffschlottler</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:143fe4b7a886/</dc:identifier>
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</item>
<item rdf:about="https://restofworld.org/2025/data-centers-jobs-microsoft-google-chile/">
    <title>Microsoft and Google overstate job creation at Chile data centers - Rest of World</title>
    <dc:date>2025-11-05T18:41:58+00:00</dc:date>
    <link>https://restofworld.org/2025/data-centers-jobs-microsoft-google-chile/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Chile and tech giants promise economy-wide impact but permits show fewer onsite jobs after construction."

...

"• Microsoft and Google say their data centers in Chile would create thousands of jobs.
• Permit filings show the largest data centers have the potential to create only hundreds of full-time jobs, mostly in security and cleaning.
• Residents say the local community has not benefited from foreign investment."]]></description>
<dc:subject>chile datacenters microsoft google labor employment 2025</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:robertogreco/b:1d328ab36d32/</dc:identifier>
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</item>
<item rdf:about="https://www.972mag.com/project-nimbus-contract-google-amazon-israel/">
    <title>Inside Israel’s deal with Google and Amazon</title>
    <dc:date>2025-10-31T22:35:37+00:00</dc:date>
    <link>https://www.972mag.com/project-nimbus-contract-google-amazon-israel/</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["To secure the lucrative Project Nimbus contract, the tech giants agreed to disregard their own terms of service and sidestep legal orders by tipping Israel off if a foreign court demands its data, a joint investigation reveals."

[See also:

"Revealed: Israel demanded Google and Amazon use secret ‘wink’ to sidestep legal orders"
https://www.theguardian.com/us-news/2025/oct/29/google-amazon-israel-contract-secret-code

"The tech giants agreed to extraordinary terms to clinch a lucrative contract with the Israeli government, documents show"]]]></description>
<dc:subject>israel google amazon projectnimbus technology gaza palestine 2025 yuvalabraham surveillance privacy security us cloudcomputing genocide ethniccleansing complicity microsoft iof idf harrydavies</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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</item>
<item rdf:about="https://www.techradar.com/pro/the-international-criminal-court-is-ditching-microsoft-software-for-an-open-source-alternative">
    <title>The International Criminal Court is ditching Microsoft software for an open source alternative | TechRadar</title>
    <dc:date>2025-10-31T20:52:54+00:00</dc:date>
    <link>https://www.techradar.com/pro/the-international-criminal-court-is-ditching-microsoft-software-for-an-open-source-alternative</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["The ICC says it has become too dependent on US tech"

...

"• The ICC is replacing Microsoft Office software with German firm openDesk
• This comes amid fears of US retaliation from the Trump administration
• EU and ICC fear US tech may be hit with 'kill switch' via US foreign policy

The International Criminal Court (ICC) is looking to replace its internal work environments to move away from US-made software in fear of retaliation from the US administration.

The Microsoft software currently used in the Hague-based ICC is likely to be replaced with Open Desk, a German collaboration software alternative which is open source, meaning developers have chosen to release the source code - opening it up to scrutiny and often meaning that bugs and vulnerabilities are picked up quickly by the community.

The move protects the ICC from further targeted sanctions by the US government for ‘transgressions against the United States and Israel’ - in which judges and prosecutors for the court have been threatened with travel bans and asset freezes.

Kill switch

Early in 2025, Chief Prosecutor for the ICC Kamrin Khan, after being hit with sanctions from the Trump administration, was disconnected from his email service.

This action was thought to be from Microsoft supporting US sanctions - although the firm denied this, with a spokesperson stating; “at no point did Microsoft cease or suspend its services to the ICC.”

This sparked fears that US tech firms could flip a ‘kill switch’ and cut digital services on orders of Trump - outlining the need to become less dependent on US technology, with firms like Google, Microsoft, and Amazon dominating Europe’s digital services and cloud markets.

A Microsoft spokesperson told TechRadar Pro: "We value our relationship with the ICC as a customer and are convinced that nothing impedes our ability to continue providing services to the ICC in the future."

Open Desk is created for public administrations by the German Centre for Digital Sovereignty of the Public Administration (Zendis) - a publicly owned company created with the aim of building sovereign digital infrastructure for EU states.

Efforts have been made to reduce EU reliance on the US not just for digital services, but for hyperscalers too - as Trump’s increasingly hostile and unpredictable foreign policy leaves allies exposed and looking to develop their own infrastructure."

[via:
https://daringfireball.net/linked/2025/10/31/icc-ditches-microsoft

"This is what makes US technology firms’ support for Trump so confounding. It’s easy to see the short-term benefits (e.g. tariff exemptions), but just as easy to see the long-term reputational harm. The US was long seen as the most trustworthy powerful nation in the world. Now it’s one of the least trustworthy. Why would companies like Microsoft, Apple, Google, and Amazon tie their own reputations to Trump’s? Trump’s reign of abject corruption, ignorance, and personality-driven retribution — and these companies’ support for all of it — will be remembered long after Trump himself is gone.

I’m not calling on these companies to outright oppose the Trump administration. But there’s a lot of space between outright opposition and helping to fund Trump’s illegal vanity ballroom on the White House grounds."]]]></description>
<dc:subject>icc us microsoft palestine gaza israel genocide ethniccleansing opensource software 2025 opendesk foreignpolicy donaldtrump retaliation warcrimes apple google amazon tariffs retribution corruption</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=sey7TS4JV68">
    <title>The Tech Industry’s &quot;AI&quot; Play for Education Dollars with Dwayne Monroe - YouTube</title>
    <dc:date>2025-10-31T06:13:58+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=sey7TS4JV68</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["Dwayne Monroe returns to talk about how "AI" is being heavily marketed to educational institutions, the concessions that certain unions are already making to this phenomenon, and the material realities and relationships behind it. 

Recent reports are showing the collaboration between Microsoft, OpenAI, Anthropic and the American Federation of Teachers (AFT) in order to "train teachers" on the use of so-called "AI." 
https://abcnews.go.com/Technology/wireStory/big-tech-paying-millions-train-teachers-ai-push-126604487

Critical AI Literacy
A guide to how to respond
https://olivia.science/ai

Against the Uncritical Adoption of 'AI' Technologies in Academia
A position paper that should serve as a model for educators
https://zenodo.org/records/17065099

ChatGPT: Super Rentier
https://monroelab.com/2023/01/20/chatgpt-super-rentier/

We will talk about what these developments mean, what the posture of unions should be to the imposition of "AI," and how teachers should look at this technology. 

Dwayne Monroe is a technologist with decades of experience in the US and Europe. He intimately knows how technologies the media describes as ethereal really work, where they come from, and how they are used in the multinational corporations and governments dominating our lives. 

He applies what he calls a Noir Marxist lens (stylistically informed by the work of Raymond Chandler, analytically informed by Marxian materialism) to dissecting the tech industry, with a special emphasis on Microsoft's plans and actions. Dwayne has been published in Logic Magazine and The Nation and maintains a blog, Computational Impacts, where he writes about the industry's latest moves and how we're affected. He is completing a book on the anti-worker purposes of AI called Attack Mannequins.

You can find all of our conversations with Dwayne Monroe and Edward Ongweso Jr on so-called "AI" in this playlist: https://www.youtube.com/playlist?list=PLBj8KHKHvws7-xOanVmYDaUNvcyI99-PG "]]></description>
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<item rdf:about="https://www.theverge.com/report/808647/bill-gates-climate-change-ai-emissions-memo">
    <title>Why is Bill Gates tone policing on climate change?  | The Verge</title>
    <dc:date>2025-10-30T04:26:27+00:00</dc:date>
    <link>https://www.theverge.com/report/808647/bill-gates-climate-change-ai-emissions-memo</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["He says there needs to be more focus on ‘health and prosperity’ and less obsession over reducing pollution. But it’s all connected."]]></description>
<dc:subject>billgates climatechange climate globalwarming 2025 pollution agriculture justinecalma stavymalkan ai artificialintelligence microsoft energy environment science technology technosolutionism lorencardeli gatesfoundation gabrielmanyangadze climatejustice food farming</dc:subject>
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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>The China Tech Canon - by afra - Concurrent</title>
    <dc:date>2025-10-22T21:18:22+00:00</dc:date>
    <link>https://afraw.substack.com/p/the-china-tech-canon</link>
    <dc:creator>robertogreco</dc:creator><description><![CDATA["How does the paideía of the Chinese tech elite differ from their counterparts in Silicon Valley?"]]></description>
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