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Pluralistic: IP can't save you from AI (18 Aug 2026)


Today's links



The rubble after the 1906 San Francisco quake/fire. Lying in a vast heap is a pile of dead knights in armor. Crashed into the ground is a Spirit Airlines jet. Looming up from behind a shattered building is the Android droid.

IP can't save you from AI (permalink)

You don't have to believe that AI "art" is any good (I don't), nor do you have to believe that AI "art" can be any good (I don't) to understand that the reason that the capital markets are putting trillions into AI is that they believe they can fire workers of every kind and replace them with AI:

https://pluralistic.net/2025/03/18/asbestos-in-the-walls/#government-by-spicy-autocomplete

I'm an artist and a worker. I want to protect my labor interests. So do my peers from across the "creative industries." But a sizable group of my peers think the way we're going to protect our interests is by expanding copyright so that it's unambiguously illegal to scrape the internet, analyze the files retrieved by those scrapers, and publish that analysis (a process more familiarly known as "training AI"):

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

This is a losing strategy. First, because banning scraping, or requiring permission to count the elements in creative works, or demanding a license to publish collections of facts about copyrighted works will inflict enormous collateral damage on a wide variety of socially beneficial activities. From the OED to search engines to the Internet Archive, so many beneficial activities rely on the fact that copyright permits unlicensed collection and analysis of every copyrighted work as a single, massive corpus, and copyright allows the publication of that analysis without permission from the creators of the works it analyzes.

A lot of people who are (rightfully) very angry about AI dispute this. They believe that they can craft an "AI training" law that would ban scraping, analysis and publication when these activities are part of AI training, but not when they're undertaken for a benign purpose. I am very, very skeptical of this. After 25 years of watching internet policy go badly awry, to the great detriment of workers of all kinds and everyday users, it is my professional, considered opinion that drafting a statute that only stops these "bad" activities is much, much harder than these people think, and may actually be impossible.

I think some artists advocating for a copyright-based solution to AI's war on labor understand this and have decided that they're willing to catch a lot of dolphins in these legal tuna-nets they're hoping to get from Congress. I get that: there are always trade-offs, and the perfect can't be the enemy of the good.

But I think they're making the wrong trade-off, and not just because I value archives, accountability corpuses, large-scale linguistic research and search engines. I think they're making the wrong trade-off because copyright will not protect their livelihoods from AI-based wage erosion.

Here's why: the theory of copyright as an "artist's right" is premised on the idea that we artists get these exclusive rights, which we use in our bargaining with media companies and other intermediaries. It's a (pseudo) property right, and it's sub-licensable. Just as an entrepreneur might get the contract to supply catering for a sports stadium and then parcel out the pretzel stand, beer bar, and pizza concessions to subcontractors, we're meant to sell our English rights, foreign language rights, graphic novel rights, film rights, audio rights, (and so on) to a variety of media companies.

To bargain successfully, it's not only necessary for you to have something valuable to trade: you also need to have leverage. You need to have options. The other side has to believe that if they lowball you, you will go do a deal elsewhere.

This is where copyright fails to serve creative workers. Even at the best of times, the world naturally produces an oversupply of would-be professional artists, and a sufficiency of the talented to fill most of the workaday niches in our field. Even exceptional artists – and exceptional works of art – are often commercial flops, for reasons that aren't always well understood (though sometimes it's a self-fulfilling prophecy, where a media company buys the rights and then loses confidence in the work and does not exert itself in the marketing of the work).

These are not the best of times. Decades of lax antitrust enforcement has boiled the "creative industries" down to 5 publishers, 4 studios, 3 labels, 2 app stores, and one company that's in charge of all the ebooks and audiobooks.

Since the 1976 Copyright Act, Congress has acted time and again to broaden copyright. Today's copyright lasts longer, restricts more uses, extends to more kinds of works, and carries stiffer statutory penalties for infringement ($150,000 per download!). The media companies we creative workers bargain with are larger, richer and more profitable than at any time in history – and we are poorer. The share of those massive profits that ends up in our pocket is lower than ever – and we don't just get smaller slices of that larger pie, those slices are smaller than the slices we used to get, when the pie was much smaller. The rising tide of copyright expansion lifted our bosses' boats – even as our dinghies filled with bilge and sank.

How could we get so much more to bargain with, only to bargain it all away, for less money than we used to get for a much smaller bundle of rights? Simple: giving us rights did not give us leverage. Giving us more rights without giving us more bargaining power is like giving your bullied schoolkid extra lunch-money. There's no amount of lunch-money that will get that kid fed; but if you keep increasing how much money the kid gets, the bullies will end up so rich that they can afford to run a global campaign demanding that we all think of those poor hungry kids and send them even more lunch money.

Copyright's failure to deliver for creative workers doesn't mean that we're doomed to poverty. Our works are generating record profits for our bosses, and there are plenty of ways to change the "distributional outcomes" (the phrase economists use for "who gets what") in arts/labor policy. In 2022, I co-wrote Chokepoint Capitalism along with the eminent Australian copyright scholar Rebecca Giblin. The whole book is full of these pro-worker arts policies:

https://pluralistic.net/2022/08/21/what-is-chokepoint-capitalism/

Rebecca and I start from the premise that artists are workers, not the small businesses that our bosses insist we see ourselves as. The idea that an artist is an LLC with an MFA fits in very neatly with copyright: you're getting this bundle of exclusive rights from Congress and then you bargain, business-to-business, with other companies out there in the world, selling those rights for the best price you can get. This approach rarely works, and when it does, it works badly. 50 years of more copyright, richer bosses, and poorer artists put the lie to the "LLC with an MFA" approach.

If we're workers, then we derive our power from labor rights. The Writers Guild – the only creative workers in world history to have comprehensively beaten AI in their workplace – won their AI fight with a strike:

https://pluralistic.net/2023/10/01/how-the-writers-guild-sunk-ais-ship/

The Hollywood guilds are able to pursue a limited form of "sectoral bargaining" (where all the workers in a field bargain with all its bosses) called "multi-employer bargaining." Bosses hate sectoral bargaining, and in 1947 they got it banned outright through the Taft-Hartley Act.

Getting other kinds of creative workers into multi-employer bargaining arrangements will be a lot of work – and repealing Taft-Hartley and restoring sectoral bargaining will be even harder. But just because it's hard to do the thing that works, it doesn't follow that we should do the easy thing that doesn't work.

Compared to winning more labor rights, getting more copyright will be easy. That's because our bosses want more copyright. When we demand more copyright, our bosses – the most powerful, profitable media companies in human history, grown rich off our labor – will fight alongside of us.

But media companies don't want to stop AI from depriving us of our wages. Quite the contrary! The whole reason that the Writers Guild had to go on strike was that movie studios – not Openai or Anthropic – wanted to replace them with AI. The same studios that are suing the AI companies for "mass copyright theft" have made it very clear that they want to buy chatbots from those AI companies and use them to erode our wages and thin our ranks. The copyright lawsuits our bosses are waging against the AI companies are intended to force tech companies to pay for licenses before they train their chatbots on our work. But they won't be paying us for those licenses – they'll be paying our bosses.

The AI copyright fight isn't being fought to protect your wages – it's being fought to see whether your lost wages end up in the pockets of a tech boss or a media boss. AI copyright suits are a fight over who's going to get the lion's share when they eat you up for dinner. They're not a way to keep you off the menu.

This becomes more obviously true with each passing day, and this morning, the world got its clearest example of what a poor substitute copyright is for fundamental human rights, like labor rights and privacy rights.

Last year, Spirit Airlines went bankrupt, a casualty of a monopolized aviation sector and Trump's oil price surge. Ever since, vultures have circled its carcass, picking off its assets in a string of auctions conducted by Spirit's bankruptcy trustees. Today, those trustees announced that they had sold all of Spirit's employees' data to Google, for use in AI training:

https://www.axios.com/2026/08/17/google-spirit-airlines-bankruptcy

Every email, every memo, every calendar entry. Oceans of sensitive, personal information, all to be shoveled directly into the bottomless maw of Google's AI training systems. This training data includes messages between colleagues and with outside parties about workers' romantic lives, their health, their family situations. These workers' most private lives will end up as fodder for a Google chatbot.

Now, all of these workers have a copyright in all of that work. Under international copyright treaties and US law, copyright "inheres at the moment of fixation of a work of human creativity." The very instant a worker sets fingers to keyboard and types out a message with even the smallest quantum of creativity, a new copyright springs into existence, giving the copyright holder 90 years' worth of control over it.

But even though every one of those emails and messages and memos was written by a human being working for Spirit, the copyright over those works does not belong to the workers. Every single one of them will have signed an employment agreement that designates their emails and other copyrightable work as "works made for hire," owned by Spirit Airlines, which means that their work is now an asset in Spirit's bankruptcy estate. That's why all that personal information is about to be transferred to a new corporate owner, Google, who can do anything they want with it.

We know how terrible this kind of disclosure will be for workers. In 2001, the criminal enterprise Enron collapsed after the extent of its fraud was revealed. In the ensuing litigation, Enron's bankruptcy overseers decided that it was too expensive to purge the company's email servers of personal information before entering it into evidence. That meant that once the court battles were over, all the Enron employees' emails entered the public domain as part of the court record:

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

The "Enron Corpus" is a foundational data-set in modern computer science. Academics analyzed the data to do pioneering work on machine learning and social graph theory, which found its way into the design and operations of social media companies, who learned how to spot and manipulate social connections by studying it.

The Enron Corpus isn't just a data-set, though. It's a privacy catastrophe, full of sensitive personal information that haunts the 158 employees whose correspondence is now permanently afloat upon the internet.

Why was the Enron Corpus so exploitable? Because US labor law does not protect this kind of sensitive information when it is in your employer's hands. In fact, if your boss ends up with a trove of your personal information in the form of emails, calendar entries and files, you will typically be blamed for it: "Why did you use your work computer for personal activities?"

But anthropologists who study computer usage have known for decades that everyone ends up with personal data on their work devices. What's more, this problem is only getting worse, because (thanks to weak labor laws), we're expected to work longer hours and to be on call when we're not at the job, which means that you're often dealing with personal crises after hours from your desk, and dealing with work crises at home from your sofa.

Any fit-for-purpose labor rights regime would recognize that your privacy rights must extend to the data that finds its way onto your boss's computers, even if you put that data there. Any failure to recognize this bedrock fact gives employers free license to plunder and exploit your personal information.

Of course, labor law isn't the only way to protect private information. While labor law should contain explicit, job-related privacy guarantees, privacy law should protect all our privacy (after all, Spirit's servers are also full of emails and messages from Spirit's passengers).

Unfortunately for anyone who ever flew on Spirit – or anyone who worked for them – American privacy law is all but dead. America's last consumer privacy law went into effect in 1988, when the Video Privacy Protection Act made it illegal for video-store clerks to disclose your VHS rental records.

Google says it won't use your profile or frequent flier info to train its model, but they haven't made the same promise about the millions of messages that passengers exchanged with the airline. Google has also promised to use "de-identification" algorithms to purge the Spirit customer, supplier and employee data of personal information. But "de-identification" is a pipe-dream, widely understood by security experts as a form of wishful thinking by companies that want to exploit your personal information while still insisting that they aren't violating your privacy. In reality, "de-identified" data is always vulnerable to "re-identification" attacks:

https://pluralistic.net/2021/04/30/dox-the-world/#experian

The collapse of privacy and labor rights in post-Reagan America and the mass expansion of copyright over the same period are part of the same phenomenon, aspects of two generations' worth of policies designed to benefit capital at the expense of workers, and corporations at the expense of consumers.

As consumers, we're told to substitute shopping for legal rights: if a corporation wrongs you, it's easier and quicker to "vote with your wallet" than it is to sue them or ask the government to intervene. Substituting shopping for politics has been a total failure. Shopping your way out of a monopoly is like recycling your way out of a wildfire:

https://pluralistic.net/2026/05/21/purity-culture/#stop-fucking-that-chicken

As creative workers we were told to stop thinking of ourselves as workers altogether, to become small businesses, and to use the LLC With an MFA method to bargain our way out of exploitative arrangements. This, too, has been a failure:

https://pluralistic.net/2026/03/03/its-a-trap/#inheres-at-the-moment-of-fixation

The sale of Spirit's data to Google for AI training shows us that privacy and labor rights are indispensable. We can't substitute market mechanisms like comparison shopping or individual contract negotiations for broad, systemic, inalienable rights backstopped by law.

By demanding the copyright our bosses love, we're seeking the right to be angry about AI, even as the AI companies and our bosses cut deals to train chatbots with our work, which they will use to attack our livelihoods.

Once we stop pretending to be small businesses, once we abandon the fantasy of LLCs with MFAs, we can join with every worker in every industry in demanding sectoral bargaining; and with every consumer in demanding privacy rights. Winning privacy and labor struggles means more than the right to be angry about AI – that's the right to do something about it.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago IP and scientific publishing https://web.archive.org/web/20011001203058/http://www.abc.net.au/rn/talks/bbing/stories/s345514.htm

#20yrsago British air travelers kick brown “terrorists” off their planes https://web.archive.org/web/20060823104858/http://www.dailymail.co.uk/pages/live/articles/news/news.html?in_article_id=401419&in_page_id=1770&ico=Homepage&icl=TabModule&icc=NEWS&ct=5

#15yrsago “Probability neglect”: why policy-makers are constitutionally incapable of formulating evidence-based anti-terrorism policy https://web.archive.org/web/20111015040753/https://opim.wharton.upenn.edu/risk/library/J2011OBHDP_APM,AT,HK_PolicymakersDilemma.pdf

#15yrsago TSA can’t explain why “enhanced patdowns” are legal https://web.archive.org/web/20151203033820/http://flyingwithfish.boardingarea.com/2011/08/18/the-legality-of-the-tsas-enhanced-pat-down-authority/

#15yrsago The Onion: We did a paywall because British people like paying for the Web https://web.archive.org/web/20110911175335/http://www.avclub.com/articles/about-the-onions-new-paid-content-system,60129/

#5yrsago Hench https://pluralistic.net/2021/08/19/failure-cascades/#natalie-zina-walschots

#5yrsago Machine learning's crumbling foundations https://pluralistic.net/2021/08/19/failure-cascades/#dirty-data

#1yrago Charlie Jane Anders' "Lessons in Magic and Disaster" https://pluralistic.net/2025/08/19/revenge-magic/#liminal-spaces


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing:

  • “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 585 (6624 total).
  • "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING


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Pluralistic: Surveillance vs guillotines (11 Aug 2026)


Today's links



Eugène Delacroix's painting 'La Liberté guidant le peuple' ('Liberty Leading the People'), depicting the French revolution as a ragtag group of peasants led by a flag-waving, bare-breasted incarnation of 'Liberty.' The painting has been altered: the scene is now being observed with a giant, smoke-shrouded CCTV dome, and the distant building have been replaced with a mainframe computer.

Surveillance vs guillotines (permalink)

In the summer of 2013, two esoteric, technical, incredibly important texts were published within weeks of one another: the first is the Snowden leaks, which revealed a system of global, pervasive digital surveillance; the second was Thomas Piketty's Capital in the 21st Century, a book about the economic inevitability (and political instability) of oligarchy:

https://memex.craphound.com/2014/06/24/thomas-pikettys-capital-in-the-21st-century/

In 2013, it wasn't immediately apparent how these two works connected with one another, but in the years since, I've grown increasingly convinced that Snowden and Piketty can only be properly understood as describing two aspects of the same phenomenon.

Piketty's landmark volume was grounded in a detailed analysis of 300 years' (!) worth of global capital flows, painstakingly compiled by a large team of grad students from a massive set of heterogeneous records. The book's conclusion is the statement that "returns to capital exceed the rate of growth over the long term" (abbreviated as "r > g").

This may sound innocuous, but it is explosive. If r > g, then the most wealth will inevitably accumulate in the hands of people who start with the most wealth, irrespective of whether they do anything productive with that money. This means that the alleged heroes of the market system – the entrepreneurs who found and manage the firms that increase public prosperity – are doomed to play second fiddle to the mere plumbers of money, people who "contribute" by accumulating.

The starkest example of this in Capital 21C is Piketty's contrast between L'Oreal heiress Liliane Bettencourt (then the richest woman in the world) and Bill Gates, founder of Microsoft (then the most successful corporation in the world). Piketty compares the growth in the fortunes of Bettencourt and Gates over two periods: first, the period between Microsoft's founding and Gates' retirement as CEO; and second, the period after Gates's retirement from his executive role, when he became a mere investor, no longer an entrepreneur.

During that first period, in which Gates was founding and running the most successful corporation in the world, he accumulated less wealth than did Liliane Bettencourt, who did precisely nothing of value over that period. Bettencourt didn't even manage her investments – that was all handled by some very clever financial planners, lawyers and accountants. In other words: for Bettencourt, doing nothing at all produced more wealth than founding the most successful corporation in the world did for Gates. Bettencourt, a person who owned things, did better than Gates, a person who did things.

And then Gates retired. He stopped doing things and started owning things. He became an investor, whereupon he out-earned both Bettencourt and Gates-the-entrepreneur. Again, the market system allocated fewer rewards to the most successful person in the doing things business than it allocated to that same person once he quit that job and got into the owning things business.

Piketty shows that this holds true across markets and nations and eras: all other things being equal, the market system produces a class of hereditary aristocrats who command the world's capital and direct its deployment, despite never having done anything. The market's most lavish rewards do not go to its most productive participants, but rather, to those participants who have the good fortune to emerge from the luckiest of orifices.

Worse: winning the orifice lottery in no way qualifies you to direct the capital you've inherited. Liliane Bettencourt had no revolutionary new business ideas, invented no miraculous new materials or processes, produced no brilliant art. She merely accumulated, thanks to the professional services of skilled technicians whose job description includes hiring their own successors to ensure that another generation of winners of the Bettencourt orifice lottery could continue to accumulate, commanding more capital and power in society.

Perhaps if these orifice winners were content to allow their bloodless Renfields to allocate their capital while consuming bonbons and attending yacht parties, this could yield a stable politics. But inevitably, people who win the orifice lottery observe that they come from a long line of wealthy people, a line that will continue with their own descendants, and conclude that they have some kind of special, heritable virtue – magic blood – that the system has recognized with their great fortunes and the power those fortunes confer.

That's when things get dangerous: when aristocrats grow bored with their leisure and mobilize their inherited capital to change the way the rest of us live. Billionaire dilettantes are weapons of mass destruction, and their special projects have a wide blast radius and inflict a lot of collateral damage.

Take Bill Gates: his ideological projects have been a catastrophe. A patent maximalist, he funded the lobbyists who successfully blocked South Africa from producing its own AIDS drugs under an IP waiver program, and then deployed them again to stop the Global South from making their own covid vaccines:

https://pluralistic.net/2021/04/13/public-interest-pharma/#gates-foundation

Closer to home, Gates's hatred of public institutions led him to allocate millions to dismantling public schools and replacing them with charter schools, particularly for poor and racialized kids, with disastrous results:

https://pluralistic.net/2026/03/09/autocrats-of-trade-2/#witness-the-firepower-of-this-fully-armed-and-operational-battle-station

And of course, Gates supported and empowered Jeffrey Epstein and his rape island:

https://en.wikipedia.org/wiki/Bill_Gates#Connection_with_Jeffrey_Epstein

Capital's tendency to accumulate in the hands of the already wealthy (r > g) means that these aristocrats end up setting an ever-larger proportion of our societal agenda, despite their manifest unfitness to govern and their absence of any kind of democratic legitimacy.

Piketty argues that inequality is inherently politically destabilizing. A society ruled over by fools and monsters who were not voted into power and can't be voted out of power is a doomed society. Eventually – the French Revolution, the World Wars – these societies grow so unstable that they collapse altogether.

This is where Piketty and Snowden converge. When the Snowden leaks broke, there was a lot of talk about the mechanics and the legality of the NSA's global digital surveillance, but precious little consideration was given to the reason for all this surveillance. In 2013, the idea that this spying was about "security" was so obvious as to be self-evident. The questions at the time were whether spying could produce security. We weren't asking why things were so insecure.

In retrospect, the answer is to be found in Piketty. Piketty's Capital includes a long, impassioned plea to both lawmakers and aristocrats to consider redistributive policies (like a wealth tax) as the most affordable way to achieve political stability. Fundamentally, Piketty argues that the cheapest way to stop people from building a guillotine on your lawn is to build hospitals and schools; this is cheaper than paying for guards and prisons to lock up would-be guillotine builders.

Today's AI debates swirl around the question of whether AI can truly make us more productive – that is, if chatbots will allow one person to do the work of two, or three, or four – or 100. But when it comes to surveillance, the digital revolution unquestionably produced a massive productivity dividend.

Consider the spying apparatus of the former East Germany ("the GDR") widely considered the most surveilled society in human history. When the Berlin Wall collapsed, there were about 16m people in the country. Of those East Germans, about 90,000 worked directly for the Stasi (the secret police), aided by another 100-200,000 paid informants:

https://www.dw.com/en/east-germany-spy-agency-stasi-surveillance/

Call it 200,000 people to spy on 16m. In other words, it took one spy to watch 80 of their neighbors. Contrast this with NSA spying: they accumulated detailed surveillance dossiers on about 6 billion internet users using a staff of no more than 5 million spooks (in 2013, about 5 million Americans were eligible for security clearance). If every single person with security clearance in the USA was working on the NSA's surveillance program, that would mean that by 2013, computers had made it possible for a spy to keep tabs on more than a thousand people.

Orders of magnitude improvements in a mere generation! This is the kind of productivity lift that economists dream of when they fantasize about the dividends from automation.

But why? Why spy?

East Germany spied on its people because the system was so unjust and cruel that its beneficiaries understood that their neighbors were forever on the brink of rising up against them. East Germany's leaders were right about that – but if anything, they didn't put enough people onto the spying project. We can tell, because the Berlin Wall fell in 1989!

Of course, the GDR was already paying more than 1.2% of its population to spy on everyone else. It's likely that East Germany's leaders believed that their society simply lacked the fiscal space to hire more spies, even if short-staffing the Stasi risked societal collapse. Now, if Piketty is right, East Germany's leaders could have solved this problem by giving people fewer reasons to want to overthrow the state. They could have taken their hands out of the cookie jar, could have instituted democratic reforms – they could have made a bid for democratic legitimacy and public material comfort. But that would have come at the leaders' own power and wealth, and, lacking the stomach for this sacrifice, they lost everything.

Enter the NSA: the digitization of human civilization has drastically reduced the cost of surveillance, and – again, per Piketty – this vastly increases the amount of inequality the world can sustain before the illegitimacy, incompetence and cruelty of rule by the neoaristocratic winners of the orifice lottery brings the whole thing crashing down.

The Trump years are proof of this. We've reached a high-water mark for rule by illegitimate billionaire dilettantes. The second Trump admin began with DOGE's Bonfire of the Stupidities, where Musk cultists dismantled vast swathes of the American administrative state. Musk didn't just attack foreign aid – though the fact that the world's richest man murdered hundreds of thousands of the world's poorest children for the lulz isn't merely cruel, but also massively destabilizing in a way that will shake the world's politics for generations – but also domestic institutions. It was a DOGE cultist who fed the part of the NIH that tracks cyclosporiasis outbreaks into the wood-chipper:

https://truthout.org/articles/disease-researchers-blame-doge-cuts-for-spiraling-cyclospora-outbreak/

Today, tens of thousands of Americans are experiencing the literal enshittification of the American state, and this isn't just a human tragedy (though it is), it's also an economic tragedy, with massive knock-on effects for the businesses that rely on those sickened Americans and for the agricultural sector whose outputs are now being shunned by millions. Whether it's letting Bill Gates decide how your schools will work or letting Elon Musk decide how your public health system runs, the result is political chaos and a societal nudge away from the rule of law and towards guillotines.

Which brings me back to Snowden. The Snowden revelations did spur a global conversation about digital surveillance, with the result that the majority of the world's digital traffic is encrypted today. That's not nothing.

But the American state found new ways to conduct mass-scale, global surveillance, often by collaborating directly with tech giants. Billionaires like Peter Thiel capitalized on Big Tech's conflicted feelings about openly participating in surveillance by founding Palantir, with the express mission of murdering the political opponents of oligarchy:

https://www.thecanary.co/trending/2026/01/07/palantir-kill-communists/

Over the past decade, the steady march of digital technology, dominated by a cartel of giant global firms who collude with the US government's system of political repression in exchange for tax breaks, antitrust forbearance and fat federal contracts has yielded more mass surveillance productivity gains than the previous 25 years:

https://apnews.com/article/trump-inauguration-tech-billionaires-zuckerberg-musk-wealth-0896bfc3f50d941d62cebc3074267ecd

The Trump administration is the most unpopular in more than a century. Trump has stolen more money in office than any president in history. Trump presides over spiraling greedflation and collapsing buying power. The Trump administration has also presided over a titanic increase in state-aligned, privatized surveillance. The Trump years are the Flock years:

https://newrepublic.com/article/206992/flock-safety-cameras-alpr-deflock-resistance-nationwide

The Trump years are the Palantir years:

https://www.nytimes.com/2025/05/30/technology/trump-palantir-data-americans.html

The Trump years are the facial recognition years:

https://www.aclu.org/news/privacy-technology/ice-face-recognition

Trump's authoritarianism is a function of his misrule, and his misrule is enabled by his authoritarianism. The more he steals, the more he destroys with wars of choice, and incoherent tariff policies, and official pronouncements linking autism and vaccinations, the more he needs spy cameras, internet surveillance, vehicle tracking, and facial recognition. Every time Trump talks about a third term in office, or canceling elections, or suppressing the vote, he creates demand for mass surveillance to catch and imprison the people this drives into the streets. The more mass surveillance there is, the safer it is for him to commit unpopular, corrupt acts. It's the world's worst self-licking ice-cream cone.

It's not just Trump, of course. Trump is the vanguard of a movement of orifice lottery winners whose delight in stealing, cheating, maiming and despoiling gives rise to political instability and requires them to divert some of their yacht money to mercenaries:

https://theintercept.com/2026/06/25/police-luigi-mangione-wealthy-ceos-threat/

Take AI: the Trump years are also the AI years. This is the time in which a wildly unpopular technology is being shoved into every part of every app we rely on:

https://pluralistic.net/2025/05/02/kpis-off/#principal-agentic-ai-problem

It's an era where corporate bosses can't stop gloating about how many jobs they're planning to destroy and how many paycuts they plan on imposing on the surviving workers:

https://www.axios.com/2025/05/28/ai-jobs-white-collar-unemployment-anthropic

AI can't do your job, but an AI salesman can reliably convince your boss to fire you and replace you with an AI that can't do your job:

https://pluralistic.net/2025/03/18/asbestos-in-the-walls/#government-by-spicy-autocomplete

And – most visibly – it's an era in which people's cities and towns are being despoiled by data centers they don't want, by local governments operating in the most extreme secrecy, who silence and even arrest citizens who demand a democratically legitimate process for deciding whether they will have to give up their power and water and land and peace:

https://www.404media.co/city-that-arrested-person-for-clapping-at-data-center-meeting-moves-to-virtual-townhalls-for-public-safety/

An economist would tell you that there's an equilibrium being sought here: between the cost of bribing a town council to ram through data center approvals, the cost of building a more modest and palatable data center, and the cost of mollifying public critics. The cost of bribing towns to foist a data center on the townsfolk is low, because there are lots of towns that fit the bill, so data center barons can shop around.

But as data center protests grow larger and better organized (oligarchy is destabilizing), the cost of dealing with public opposition is mounting. Which is why the Trump administration is teaming up with its preferred tech and military contractors to engage in detailed surveillance of data center and AI critics:

https://prospect.org/2026/08/10/private-intelligence-firms-selling-dossiers-on-ai-data-center-critics/

These corporate spooks aren't just spying on data center critics: they've got a whole portfolio of oligarchy-stabilizing surveillance services, targeting "antifa," immigrants' rights and anti-ICE groups.

They're joined by hardware vendors who offer corporations, the wealthy, and enclaves where both are to be found on literal robocops, the ultimate in cheap guard labor (alas, the robots suck):

https://www.404media.co/the-roboguard-revolution-is-short-circuiting/

Trump and his orifice-winning army are caught in the same trap as the leaders of the GDR. Every gain in guard-labor efficiency creates the space for more of them to stick more of their hands even further into the cookie jar. Every time they do, American society grows more unstable, demanding more guard labor.

As we saw in Minneapolis, guard labor – be it mass surveillance, robocops or ICE chuds – is itself destabilizing. Police states make the people who live in them want to overthrow the state, requiring yet more cops, creating more partisans for tearing the whole thing down.

In theory, the orifice class could decide to stop stealing, cheating and maiming. The problem is that for every plute who realizes that the cheapest way to keep the guillotines off his lawn is to play fair, there are three more who lack the executive function to stop cheating. That means that you might as well keep on cheating, since the instability – and the guard labor bills – are coming no matter what.

In the tale of the "Tragedy of the Commons," a common pasture is grazed to dust by shepherds who each understand that if they don't graze their flock until everything is gone, some other shepherd will do so. The original "Tragedy of the Commons" paper was a racist hoax perpetrated by an academic fraud who wanted to make the case for the expulsion of black and Brown people from America and their mass extermination abroad:

https://memex.craphound.com/2019/10/01/the-tragedy-of-the-commons-how-ecofascism-was-smuggled-into-mainstream-thought/

In reality, commons need not be tragic and many of our most important resources have been managed as commons for hundreds of years:

https://archive.org/details/governing-the-commons/page/4/mode/2up

But when it comes to the commons that is "a stable society," the orifice class is caught in an inescapable tragedy, certain of the knowledge that if they don't cheat us, the next American aristo will. Thus the demand for guard labor continues to mount…as does the demand for guillotines.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Wonderfully thorough backgrounder on DeCSS https://web.archive.org/web/20010816194008/https://lemuria.org/decss/hal2001.html

#25yrsago Warhol Worm https://web.archive.org/web/20010814171036/http://www.cs.berkeley.edu/~nweaver/warhol.html

#25yrsago Camgirls use Amazon wishlists for payouts https://web.archive.org/web/20010821234935/http://www.salon.com/tech/feature/2001/08/13/cam_girls/index.html

#25yrsago State of the tech industry 2021 https://web.archive.org/web/20011216222920/http://latimes.com/technology/la-000064605aug09.story

#25yrsago List of scenes cut from Looney Tunes reissues https://web.archive.org/web/20011214095249/http://www.toonzone.net/looney/ltcuts/

#20yrsago Strategy behind using liquids to threaten planes https://web.archive.org/web/20060813001626/https://wondermark.com/d/220.html

#20yrsago RIAA to grieving family: We depose your children in 60 days https://recordingindustryvspeople.blogspot.com/2006/08/riaa-wants-to-depose-dead-defendants.html

#15yrsago Stasi spywear: the inept art of commie disguise https://web.archive.org/web/20120000000000*/http://www.spiegel.de/international/germany/0,1518,777716,00.html

#15yrsago 1968: when Britain’s Daily Mirror tried to overthrow Parliament https://www.bbc.co.uk/webarchive/https%3A%2F%2Fwww.bbc.co.uk%2Fblogs%2Fadamcurtis%2F2011%2F07%2Fevery_day_is_like_sunday.html

#15yrsago My panel with Tim Berners-Lee, Vint Cerf and Al Gore at Mexico City’s Campus Party https://www.youtube.com/watch?v=tXPZnpsN4-s

#15yrsago Doctor tried to "cure homosexuality" by tasping gay man while he had sex with a female sex-worker https://web.archive.org/web/20111004080028/https://blog.ketyov.com/2011/08/self-stimulating-brain-for-heterosexual.html

#10yrsago How a digital-only smartphone opens the door to DRM (and how to close the door) https://memex.craphound.com/2016/08/12/how-a-digital-only-smartphone-opens-the-door-to-drm-and-how-to-close-the-door/

#10yrsago Forget Skynet: AI is already making things terrible for people who aren’t rich white dudes https://www.nytimes.com/2016/06/26/opinion/sunday/artificial-intelligences-white-guy-problem.html

#10yrsago How self-driving cars could make everything worse, and what to do about it https://web.archive.org/web/20170918192128/https://www.wired.com/2016/08/self-driving-cars-will-improve-our-cities-if-they-dont-ruin-them/

#10yrsago The Tor Project’s social contract: we will not backdoor Tor https://blog.torproject.org/tor-social-contract/

#10yrsago Cash grants to people with unexpected bills successfully prevents homelessness https://www.science.org/content/article/bit-cash-can-keep-someone-streets-2-years-or-more


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing:

  • “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 507 (3619 total).
  • "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING


This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: Post-American compute for a post-American Internet (04 Aug 2026)


Today's links



A beautiful 17th century world map. It has been altered. Amongst the various creatures and ships that float in the map's seas now also float various 1950s and 1960s mainframes and components, along with Trump's disembodied hair and mouth.

Post-American compute for a post-American Internet (permalink)

Obviously, the non-American world has a digital sovereignty problem – Trump has means, motive and opportunity to order his tech companies to shut down any public official, large corporation, or individual who displeases him:

https://pluralistic.net/2026/06/18/their-trillions-our-billions/#eyes-on-the-prize

But Americans face the same digital sovereignty risk. America is a lawless place now, where a pliable Supreme Court and supine Congress have affirmed that "it's not a crime if the president does it." The same tech giants who sold out to Trump for tax breaks and protection from antitrust enforcement will happily disconnect any member of the American public, any American company, any American official who displeases Trump.

It's a strange irony that in this moment when so many of us are struggling to "de-Google" our lives, a forcible, sudden de-Googling amounts to a sort of digital death penalty:

https://www.nytimes.com/2022/08/21/technology/google-surveillance-toddler-photo.html

In a world dominated by tech monopolies, duopolies and cartels, there's every reason in the world to seek protection and insulation from these companies that are "too big to care" – and yet, the very same dominance that makes these companies such a danger also makes them indispensable.

Take "ICE Block," an iOS app that warns you if there's an ICE thug hunting people like you in your vicinity, which might save you from being kidnapped, disappeared, sent to a concentration camp, forced into slave labor in El Salvador, or simply murdered. In order to protect its relationship with the Trump regime (and the tax breaks, monopoly power and tariff-free access to Chinese labor that that relationship guarantees), Apple declared ICE officers to be a protected class and then removed ICE Block from its App Store:

https://pluralistic.net/2025/10/06/rogue-capitalism/#orphaned-syrian-refugees-need-not-apply

Big Tech is key to Trump's pogroms. Without Oracle's databases, Microsoft's administrative tools, Amazon's cloud, and Google's location data, ICE would be frozen in place. Big Tech is the source of Americans' risk from authoritarian oppression. That means that Americans cannot rely on Big Tech to protect them from that authoritarianism.

And yet, after decades of regulatory forbearance and lax antitrust enforcement, Big Tech has forced nearly all its rivals out of business. Who can compete with companies that use Irish domicile to evade taxation and US domicile to evade privacy law?

There's a joke from eastern Canada I think of often in situations like this. Its punchline goes, "If you wanted to get there, I wouldn't start from here."

But here we are. And speaking of Canada, while it has many problems, it is not (as of time of writing) the USA, but it is connected to the USA via the internet. Which means that Americans could – hypothetically – source their computing infrastructure from suppliers that were based in Canada, and who strictly ensured that they had no dependency on US services and scrupulously avoided a US "enforcement nexus":

https://pluralistic.net/2023/03/05/theyre-still-trying-to-ban-cryptography/

That is exactly what some American – and international – human rights nonprofits have done. The Technology Freedom Cooperative is a brand new organization founded by the Human Rights Data Analysis Group (San Francisco), Kilómetro 0 (Puerto Rico), Invisible Institute (Chicago), Data Cívica (Mexico) and Innocence & Justice Louisiana:

https://www.linkedin.com/pulse/techfreedomcoop-stuart-flack-8eipc/

All of these organizations are longstanding, highly effective human rights fighters. They have long, storied histories of collecting, analyzing, and presenting data to address systemic discrimination, false imprisonment, extrajudicial killings, war crimes and genocides. They have concluded that they can't rely on US tech and US servers with their data. Not after Trump and Microsoft colluded to kill the online accounts of the Chief Prosecutor of the International Criminal Court to punish him for swearing out a genocide warrant against Netanyahu:

https://apnews.com/article/icc-trump-sanctions-karim-khan-court-a4b4c02751ab84c09718b1b95cbd5db3

Tech Freedom Coop has federated computing resources in Canada, the United States, Mexico, Puerto Rico and Europe. By spreading out their data and computation across multiple jurisdictions, they seek to ensure that a US seizure or deletion of their data will not halt their work.

This federated system serves as a replacement for Big Tech's administrative tools – email hosting, cloud storage, document collaboration. More than that: Tech Freedom Coop is also building out its own AI infrastructure, locally hosted and managed.

Groups like HRDAG have decades of experience using cutting edge statistical techniques to uncover and reveal the extent of crimes committed during civil wars, hot wars, genocides and secret wars. They built the largest human rights database ever created, to track every death in the Colombian Civil War and estimate the likelihood that each killing was carried out by a CIA-backed militia, FARC guerrillas, or the Colombian military:

https://hrdag.org/colombia/

They conducted the first ever census of killing by US police officers:

https://hrdag.org/poli/

They partnered with Innocence Project New Orleans to sift through mountains of arrest reports to surface cases similar to successful exonerations, helping more innocents to win their freedom:

https://hrdag.org/2025/02/20/ipno/

Today, they are active across the USA, tracking and analyzing the crimes committed by the Trump regime:

https://hrdag.org/2026/07/05/naming-police-officers-who-kill-in-california/

And they are working in Gaza, to document the genocide so that someday, the truth can be acknowledged and the perpetrators brought to justice:

https://hrdag.org/pressroom/nyt-gaza-toll/

I've known Patrick Ball, the statistician and programmer who founded HRDAG, for more than 20 years, and every time we meet, I learn something from him. He's the person who comes to mind whenever people tell me that AI is useless and that programmers who claim otherwise are deluded. Patrick is one of the best programmers I know, he is the very best statistician I know, and he's found many, many ways to use coding assistants to help him perform massive data-analysis projects that are vital to human rights struggles. He's a "centaur" if ever there was one:

https://pluralistic.net/2025/12/05/pop-that-bubble/#u-washington

It's exciting to see Patrick and his colleagues and collaborators taking these decisive steps to begin building the post-American internet and a kind of post-bubble AI, where AI tools are treated as normal technologies, capable of helping skilled practitioners who have discernment born of experience to apply them wisely to achieve important things:

https://pluralistic.net/2026/07/28/hitl-ers/#ai-ai-oh

For more than 20 years, HRDAG has been impressing me with the things we can do using advanced statistical analysis. The current generation of AI tools are founded in advanced stats, too. No one should think that advanced stats can solve all your problems of course. The AI bubble is madness and will lead to ruin – environmental, economic, political:

https://pluralistic.net/2026/05/26/the-ai-will-continue/#until-morale-improves

The world would be a better place without the AI bubble. But AI? It's fine. It's another form of statistical analysis and inference. There's no reason to use all the planet's energy, computing and water to perform that analysis, but the correct and desirable amount of useful AI-style computation is nowhere near zero.

The coop is building good AI tools – ones grounded in a realistic assessment of their usefulness and a reasonable commitment of resources to them. They're running open models based on their own data, on computers they own and control. Their stated goal is to "help organizations test whether models are accurate, reproducible, secure, and appropriate for specific human rights use cases."

Which brings me to the final component of Tech Freedom Coop: training. They're teaching people who work in human rights how to administer their own servers, secure their data and communications, and analyze data. As their press release says, these are all "skills that are increasingly necessary for human rights organizations documenting abuses of power."

I've known this was coming for a while now, and I'm so pleased to see that it's finally launched. At last, the first steps towards a post-American internet.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Asia Carrera’s makeup tips http://www.asiacarrera.com/makeup/welcome.html

#25yrsago Tommy Chong's Urine Luck https://web.archive.org/web/20010818124925/https://hempmasters.com/urineluck/

#15yrsago German cops call airport full-body pornoscanners “useless,” EU requires opt out from scanning https://www.schneier.com/blog/archives/2011/08/german_police_c.html

#15yrsago Write an adventure novel in three days, the Michael Moorcock way https://web.archive.org/web/20110705155756/https://wetasphalt.com/?q=content/how-write-book-three-days-lessons-michael-moorcock

#10yrsago DRM: You have the right to know what you’re buying! https://www.eff.org/files/2016/08/06/eff_request_for_investigation_re_labeling_drm-limited_products.pdf

#10yrsago Bureaucrats disqualify Hong Kong legislative candidates for insufficient loyalty https://globalvoices.org/2016/08/05/hong-kong-election-officials-disqualify-six-legislative-candidates-for-not-being-loyal-enough-to-china/

#10yrsago The Vlogbrothers guide to voting in every state in the union https://www.youtube.com/c/howtovoteineverystate

#10yrsago Vocal fry, uptalking, nasal: women’s voices can never be “right” https://www.thecut.com/2016/07/female-voice-anxiety-c-v-r.html

#5yrsago Facebook escalates war on accountability https://pluralistic.net/2021/08/05/comprehensive-sex-ed/#quis-custodiet-ipsos-zuck

#5yrsago Drone delivery crashes https://pluralistic.net/2021/08/05/comprehensive-sex-ed/#droned

#5yrsago Anti-vaxers cool the mark https://pluralistic.net/2021/08/05/comprehensive-sex-ed/#goffman

#5yrsago Meet the new generation of pro-abortion activists https://pluralistic.net/2021/08/05/comprehensive-sex-ed/#never-again

#1yrago Bragging about replacing coders with AI is a sales-pitch https://pluralistic.net/2025/08/05/ex-princes-of-labor/#hyper-criti-hype


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing:

  • “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 692 (692 total).
  • "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING


This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

Blog (no ads, tracking, or data-collection):

Pluralistic.net

Newsletter (no ads, tracking, or data-collection):

https://pluralistic.net/plura-list

Mastodon (no ads, tracking, or data-collection):

https://mamot.fr/@pluralistic

Bluesky (no ads, possible tracking and data-collection):

https://bsky.app/profile/doctorow.pluralistic.net

Medium (no ads, paywalled):

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Tumblr (mass-scale, unrestricted, third-party surveillance and advertising):

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: Dualism (03 Aug 2026)


Today's links

  • Dualism: Why not both?
  • Hey look at this: Delights to delectate.
  • Object permanence: UK's Great Firewall falls; Mint the coins; Virtual pets v DRM; Getty copyfrauds 47,000 photos; Net Mexico-US illegal migration is zero; Build a wall (around Trump Tower); Remote-hacking big rigs; Collectible AOL CDs; Indefinite Gitmo; Circuit City rips DVDs; Real Names policies are abusive failures; Escher in a water drop; Maximally code-like bugs.
  • Upcoming appearances: Edinburgh, Sydney, Melbourne, Brighton, London, South Bend.
  • Recent appearances: Where I've been.
  • Latest books: You keep readin' em, I'll keep writin' 'em.
  • Upcoming books: Like I said, I'll keep writin' 'em.
  • Colophon: All the rest.



A man's bearded face, constructed out of a medieval hillside, with walls, buildings, trees, hayricks and boulders forming the features. It has been hand-tinted. It looks across at an inverted, blurred, rippling version of itself. The background is a detail from a 19th C French anatomical chart depicting many different ear shapes.

Dualism (permalink)

The greatest magic trick of them all is lying. The reason you can't figure out that coin vanish even after the conjurer performs it three times in a row is that they didn't do the same trick three times in a row! They did three different tricks: "Didn't catch it? Here, let me do it again!" is a lie:

https://magiciansmag.com/3-cool-coin-disappearing-trick/

There's times when it makes sense to treat two outcomes as the same, even if they were produced by very different means. As a reader, my enjoyment of your novel is the same whether it was dictated, typed on an Underwood Noiseless, keyed into a word processor, or scratched out with a fountain pen:

https://nealstephenson.substack.com/p/writing-by-hand-is-good-for-your

There's plenty of routes that arrive at the same place, and if the destination is all that matters to you, it's fine to ignore the journey. But often, those end-points have subtle differences that are only revealed when things go wrong. If all you care about is how things work, chances are good that you're in for an unpleasant surprise when things fail.

I recently found myself arguing with an interviewer about whether AI is, or could be, conscious. We weren't arguing about whether it might someday be possible to make an artificial consciousness – as a materialist, I'll happily stipulate to this. I think that everything we call "consciousness" is the result of a physical process occurring within our bodies (and possibly around them?), so I think it's perfectly reasonable to imagine that someday we might create another physical process that produces the same effect.

But that's not what the interviewer wanted to argue about. His point was that teaching more words to the word-guessing program would produce consciousness, an argument I always liken to "breeding horses to run faster and faster until one of them foals a locomotive." In support of this (outlandish) proposition, the interviewer performed a kind of cognitive coin-trick: "I can often predict what my wife is going to say, and so can a chatbot that's been trained on her words. Therefore, we're both doing the same conscious work – and therefore the chatbot will eventually be as conscious as I am."

"Predicting what you will say through an understanding based on a theory of your mind" and "predicting what you are going to say based on a statistical analysis of your utterances" might produce the same outputs, but they are not the same trick. You can tell by what happens when the trick fails.

My wife and I have been together for 23 years now, and there's plenty of times that we can finish each other's sentences – and so can the autocomplete on our phones. The autocomplete manages the trick by exploiting the fact that we often repeat ourselves. But we manage the trick by understanding each other (and by exploiting the fact of repetition).

When my wife says something surprising – because she is angry or delighted, sad or happy – I can make a reliable guess about what caused my prediction to misfire. Our "sentence completion" trick doesn't emerge from a rough, automatically generated mental table of the statistical likelihood that word A will follow word B. We also understand why those combinations appear in each other's speech and writing.

"Understanding" and "statistical extrapolation" can often lead to the same place, but when they don't, "understanding" provides a way forward, while "extrapolation" founders. Both work fine, but only one fails gracefully. The two tricks only appear the same, but they are fundamentally different.

AI's investor story – and the science fiction tales of AI's eventual capabilities that underpin that investor story – makes heavy use of this conjurer's trick, in which two different outcomes are equated to one another because they resemble each other.

This "ignore the journey, focus on the destination" idea is baked very deeply into the way we think about AI. Take the "Turing Test," a complicated and nuanced thought-experiment proposed in 1950. Over the ensuing 75 years, Turing's thought-experiment has been stripped down into a blunt metric: "Can a chatbot trick a human into thinking it is also human?"

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

"I mistook a chatbot for a human" and "I took a human for a human" arrive at near-identical places, but they are subtly and importantly different. The erroneous assumption that my phone's autocomplete is actually a person who understands me well enough to finish my sentences works fine, but the instant I turn to it for understanding, it will fail very badly. Autocomplete's predictions are always grounded in who you used to be, which means autocomplete knows very little about who you are now, and absolutely nothing about who you will become:

https://reallifemag.com/instant-recall/

The low-rez Turing Test that captured popular discourse is profoundly misleading. It's the unsound foundation of a worldview that renders you incapable of distinguishing your understanding of your spouse from their phone's autocomplete function. It's the self-serving rationale that leads you to declare yourself a proud stochastic parrot:

https://xcancel.com/sama/status/1599471830255177728

The AI bubble is (seemingly) full of contradictions, but – like those baffling coin-tricks – these contradictions often resolve themselves very neatly once you realize that the "contradiction" is actually just two things that appear to be one.

For example, some of the billionaires who put up the first several hundred million for AI are solipsists who just don't believe other people are entirely real and therefore find it easy to believe that AI can do their jobs. Other billionaires are cynics who think that bosses can be sold defective worker-replacing chatbots because they're credulous suckers for that pitch, the same way they believe that desperate young men are suckers for Joe Rogan's useless and/or dangerous supplements and peptides:

https://pluralistic.net/2026/07/24/supplemental-income/#andrew-tate-gwyneth-paltrow

Billionaire AI true believers and billionaire AI cynics make for a powerful coalition. The roadblocks that might discourage the first group are easily hurdled by the second, and vice-versa. You don't have to believe AI works to believe it can be sold, and you don't have to be motivated by the sales opportunity to believe that AI is about to become god.

Almost every debate I get into about AI turns out to be an unjustified, unacknowledged conflation of two things that seem similar, but have profoundly different underlying characteristics. Take this argument: "Every time we extend rights to the nonhuman world – watersheds, endangered animals, ecosystems – the world gets better. Let's extend rights to AI – whether or not we think it's a 'person' and so reap those benefits."

This, too, is a coin trick. Extending rights to nature reliably makes the world better, but extending rights to constructs makes the world far worse (Exhibit A is corporate personhood) (obviously).

A few moments' thought reveals the difference. If we extend rights to a watershed, that might result in an AI data-center being killed. If we extend rights to AI, that might lead to sacrificing the watershed to cool the data-center:

https://pluralistic.net/2026/07/10/posthuman-as-in-no-humans/#hell-is-other-people

Then there's AI and labor. The world is full of skilled workers who have found ways to use AI on the job that they insist have improved their work. It's also full of skilled workers who warn us that on-the-job AI is producing tech debt at unimaginable scale, seriously depreciating the quality of the tools we use today, and setting us up for painful reckonings in the future.

This (seeming) contradiction melts away once you realize that these workers only appear to be doing the same thing. The first group of workers, excited about their AI-assisted output, are "centaurs": people assisted by machines; workers who choose the time and manner of their AI adoption. The second group are "reverse centaurs": people recruited to serve as peripherals for machines, which direct their actions and workflow:

https://pluralistic.net/2025/12/05/pop-that-bubble/#u-washington

Note that this isn't the same thing as saying "A skilled worker who adopts a tool willingly is always right and will produce a better output as a result." Nor is it saying, "The tool is so flawed that workers who claim it works for them must be deluded."

That's another coin trick! The reality – again – is that this is two things: some workers whose AI-assisted work is measurably worse are wrong about AI making their work better (centaurs, but wrong), and; some workers are being forced to use AI and know damned well that it's making their work worse (reverse centaurs).

Finally, there's an economic coin-trick: "AI will destroy jobs." Sure, yes, AI is destroying jobs. But there's a vast difference between "You got fired because an AI can do your job" and "You got fired because your boss was convinced that the AI can do your job, even though it cannot."

This is one of the most consequential coin-tricks, because it's a real convincer for the investors who are funding the AI bubble. The difference is huge: "AI can do your job" means you're well and truly screwed. If an AI can really replace a contract lawyer, then everyone who needs a contract written or evaluated should be on the side of mass technological unemployment for contract lawyers. The point of contract lawyers is to produce contracts, not to pay contract lawyers' law-school debts and mortgages.

BUT! If some BigLaw's credulous partners can be suckered into firing their juniors and replacing them with chatbots who bill you $1,200/hour to produce unenforceable, error-riddled contracts, then everyone who needs a contract is on the same side as the contract lawyers – united in opposition to their bosses:

https://www.loweringthebar.net/2026/06/its-finally-happened-both-sides-ai.html

Every time we fail to draw this distinction, we help an AI boss raise another billion dollars. Every time we insist on this distinction, we hasten the day that the AI bubble pops, thus sparing a few more everyday savers and innocent bystanders from being wiped out in the crash we can all see on the horizon:

https://www.thebignewsletter.com/p/monopoly-round-up-how-new-dealers.

As "Cathy" so aptly put it: "The thing that is a good tool for the skilled people is being sold as a thing to reduce the number of skilled people hired":

https://bsky.app/profile/cathyby.bsky.social/post/3ms3pzq57nc2c

The former is a normal technology. The latter is the root of a catastrophic folly that is destroying our environment, destroying workers' lives, destroying the quality of the goods and services we rely on, and which will shortly destroy our economy.

It's a distinction with a difference.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Collectible AOL CDs https://web.archive.org/web/20011119212602/https://www.wired.com/news/culture/0,1284,45585,00.html

#20yrsago Gonzales: Gitmo prisoners can be held indefinitely https://www.dawn.com/news/204441/guantanamo-detainees-may-remain-indefinitely-us-attorney-general-s-warning

#20yrsago Circuit City offers DVD ripping service https://web.archive.org/web/20060811215644/https://consumerist.com/consumer/circuit-city/circuit-city-flouts-the-dmca-for-a-tenner-192049.php

#15yrsago UK government kills Copyright Great Firewall, establishes user rights https://torrentfreak.com/uk-government-abandons-file-sharing-website-blocking-plans-110803/

#15yrsago Mugshot sites and mugshot removal sites: unholy blackmail symbiosis https://web.archive.org/web/20110817051528/https://www.wired.com/threatlevel/2011/08/mugshots/

#15yrsago Law prof: it would be legal to mint 2x $1 trillion platinum coins & use them to pay the US debt https://edition.cnn.com/2011/OPINION/07/28/balkin.obama.options/index.html?hpt=hp_c1

#15yrsago Virtual pets starve after bungled resolution to Second Life’s “unauthorized food” war https://web.archive.org/web/20110807214820/http://nwn.blogs.com/nwn/2011/08/sl-meeroos-griefed.html

#15yrsago Google Plus’s “Real Name” policy is abusive; Facebook is not a “Real Name” success story https://www.zephoria.org/thoughts/archives/2011/08/04/real-names.html

#15yrsago Photo: Escher painting refracted in a drop of falling water https://www.reddit.com/r/pics/comments/j5whr/water_drop_falling_in_front_of_an_mc_escher/

#15yrsago Getting digital copyright right: pay artists, but don’t break the Internet https://www.straight.com/article-415146/vancouver/interview-siggraph-2011-keynote-speaker-cory-doctorow-copyright-reform

#10yrsago After repeated budget cuts, Missouri’s underfunded Public Defender drafts the Governor to work for him https://web.archive.org/web/20160804061408/http://www.publicdefender.mo.gov/Newsfeed/Delegation_of_Representation.PDF

#10yrsago Spoofing GPS is surprisingly easy; detecting it is surprisingly hard https://spectrum.ieee.org/gps-spoofing

#10yrsago Decision to retain personally identifying information puts Australian census under threat https://web.archive.org/web/20160804124914/https://censusfail.com/

#10yrsago Residents of Silicon Valley homeless camp clear 48,000 Lbs of garbage from creek, ask for housing https://www.mercurynews.com/2016/08/03/san-jose-homeless-remove-24-tons-of-trash-from-coyote-creek/

#10yrsago Copyright Office to FCC: Hollywood should be able to killswitch your TV https://www.eff.org/deeplinks/2016/08/copyright-office-jumps-set-top-box-debate-says-hollywood-should-control-your-tv

#10yrsago Walking Tables: a strandbeest for your dining room https://www.youtube.com/watch?v=mBOdZ6nhDJg

#10yrsago Lawsuit: Getty Images copyfrauded 47,000 photos from indie press agency Zuma https://arstechnica.com/tech-policy/2016/08/getty-images-sued-again-over-alleged-misuse-of-over-47000-photos/

#10yrsago Mexico-US illegal migration has been at zero for 8 years, and other eye-opening facts https://wnyc.org/story/bnch-migration-doug-massey/

#10yrsago Activists are crowdfunding to build a wall around Trump Tower https://www.indiegogo.com/en/projects/wallintrump/wall-in-trump#/

#10yrsago Chinese government decrees that it is always legal to video-record the police https://www.techdirt.com/2016/08/03/yes-you-read-that-correctly-china-says-ok-members-public-to-record-police/

#10yrsago Big rigs can be hijacked and driven with software-based attacks https://www.wired.com/2016/08/researchers-hack-big-rig-truck-hijack-accelerator-brakes/

#5yrsago Elite debt hits record heights https://pluralistic.net/2021/08/03/fitzgerald-was-an-optimist/#debt

#5yrsago Utilities governed like empires https://pluralistic.net/2021/08/04/eighty-sixed/#thank-you-come-again

#5yrsago Congress has allocated enough money to end the eviction crisis https://pluralistic.net/2021/08/04/eighty-sixed/#helicopter-not-found

#5yrsago Vaccine refusal and health insurance https://pluralistic.net/2021/08/04/eighty-sixed/#risk-management

#1yrago AI software assistants make the hardest kinds of bugs to spot https://pluralistic.net/2025/08/04/bad-vibe-coding/#maximally-codelike-bugs


Upcoming appearances (permalink)

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Recent appearances (permalink)



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Latest books (permalink)



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Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

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Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

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Pluralistic: Why businesses lie about AI (01 Aug 2026)


Today's links



A sepia-toned 1950s era boardroom in which men in suits sit around a circular table. The chair of the meeting has been replaced with a man in a straitjacket, making a funny face. The heads of the remaining board-members have been replaced with robots from 1930s pulp magazines. The image has been hand-tinted.

Why businesses lie about AI (permalink)

Neoclassical economics assumes rationality. The corollary of, "If you're so smart, why aren't you rich?" is "you're rich, so you must be very smart!" Thus it is that many people assume that if powerful, well-compensated CEOs insist that "AI is changing everything," well then, AI must be changing everything.

But the evidence for this "changing everything" thesis is thin on the ground. Despite a global mania that has reduced the real, pressing need for digital sovereignty to the imaginary need to create "sovereign AI," no one can really articulate the case for "sovereign AI." If Donald Trump ordered Big Tech to turn off all of your country's chatbots tomorrow, nothing would change. Every one of your country's ministries and corporations would chug on with nary a hitch. Households, too, though perhaps a few of the younger members of those families would have to do their own homework again.

(Contrast this with what would transpire if Trump directed his tech giants to switch off your country's Office 365 access, or to brick your Android and iOS phones, or to killswitch your John Deere tractors. Your country would effectively cease to exist. If "digital sovereignty" means anything, it means doing something about this urgent fact):

https://pluralistic.net/2026/06/18/their-trillions-our-billions/#eyes-on-the-prize

The world is full of people who insist that "AI is changing everything" but who – when pressed – have to admit that what they mean is that they're pretty sure that AI will change everything. Eventually. After we allow it to consume all the planet's energy, carbon, water and financial resources.

Maybe.

(They're pretty sure.)

One person who's had a lot of opportunity to observe the shear between the stated business/AI situation and the real business AI situation is Nikhil Suresh from Hermit Tech, a consulting firm of "radically ethical data wizards" (that is, tech consultants). Suresh reports on his experience talking with hundreds of executives (and, more importantly, their subordinates) about what (if anything) AI is doing for business in an essay entitled "AI Mania Is Eviscerating Global Decisionmaking":

https://hermit-tech.com/blog/ai-mania-is-eviscerating-global-decisionmaking

Suresh has a good track record of writing trenchant, frank criticism of AI. You may know him from his 2024 essay, "I Will Fucking Piledrive You If You Mention AI Again":

https://ludic.mataroa.blog/blog/i-will-fucking-piledrive-you-if-you-mention-ai-again/

Or possibly from his "Contra Ptacek's Terrible Article On AI," a stinging rebuttal to Thomas Ptacek's widely read "My AI Skeptic Friends Are All Nuts":

https://ludic.mataroa.blog/blog/contra-ptaceks-terrible-article-on-ai/

While those are important pieces of critical AI realpolitik, none of them have the heft or urgency of "AI Mania Is Eviscerating Global Decisionmaking," whose thesis can be summed up with this passage from halfway through this 6,000-word article:

[W]e’re facing a coordination problem around executives being honest around the AI gains they’ve witnessed – if they co-operate, they keep their jobs. If they defect, they will possibly be fired by their embarrassed peers (who have now been implicitly called liars, cowards, or incompetents) and then replaced with someone that will toe the line anyway. If they could all admit the truth at once there might be some hope, but there is no way to coordinate that event.

In other words, corporate leadership is starting from the premise that AI has (or will) radically change the business, and they're working backwards from that premise to find the evidence to support this article of faith.

In support of this thesis, Suresh cites "hundreds" of conversations with execs and employees who spoke to him on the condition that he would "file the serial numbers" off their stories. These, combined with his own experience consulting for large, multi-billion-dollar companies make it clear that "AI mania" is an absolutely justifiable label for the state of AI in corporate circles.

Here are a few highlights from this morning's read – moments where I had to look away from my screen and read out a passage to my wife so that we could share a "holy shit" moment.

A person worked for a division that "pivoted" to re-engineer its software to create interfaces that support AI agents. When it became apparent that only ten users had touched this expensive new technology, they "pivoted" again to support "agentic workflows." Why did they double down on AI agents after discovering such yawning market indifference for "agentic"? "Because every company has to do something agentic now."

Suresh describes this as a literal religious mania. In the 500+ employee businesses Suresh studied, the only people who were promoted – or even spared from being fired – were people who professed "religious declarations of faith" about "the transformative power of AI." Employees who voiced honest, informed objections to AI in the workplace were passed over for promotions or targeted for layoffs.

This has created a situation in which everyone – "boards, executives, employees, vendors, consultants" – has a strong incentive to lie about how much AI is delivering for their companies. Suresh says he's seen announcements from publicly traded companies about their AI triumphs that he knows for a fact never took place.

Suresh says he's never seen a successful enterprise AI project: "Every single one – we have seen 0% success in a year and a half." Not one of their clients would face a business challenge if OpenAI went out of business tomorrow. The problem most companies struggle with is that they're "terminally bad at running software projects effectively." Adding AI to the mix doesn't solve this problem – it just adds a whole new range of ways that software deployment can fail.

Chatbots don't help. The internally facing chatbot that's supposed to help employees figure out how to navigate the business sucks because it is only as good as its training data – the business's documentation of its own processes. Businesses suck at documenting their processes. Customer-facing chatbots also suck. They either can't solve your problem, or, when they seem to solve your problem, the "solution" goes nowhere.

Suresh recounts his sole positive customer service chatbot experience: a Mitsubishi chatbot with a natural sounding, responsive voice politely took all the details of an automotive failure and promised him a callback. That callback never came, but Suresh is certain that Mitsubishi has logged this as a chatbot success story, even though the experience convinced him not to buy a Mitsubishi car.

Suresh and his team at Hermit Tech now have a policy of not even asking about ongoing AI projects. They've learned that by the time an AI project has begun, no one will discuss it honestly until it reaches a crisis point.

Suresh says he frequently encounters people who reflexively utter the AI catechism: "AI is changing everything." But when he presses these people for details, they admit that their organization "does not currently use LLMs for anything, and indeed, that they cannot name a single thing that has changed other than they get some use out of ChatGPT."

This shear ("AI is changing everything"/"Well, OK, we're not using AI for anything") is so extreme that Suresh once met an exec who confessed to crafting an AI-centered AI strategy for a $2b/year business, even though that exec "had never even used ChatGPT or any AI tool in their life."

Some people have privately admitted to Suresh that they've embraced AI in order to earn a career-boosting corporate reputation for "thought leadership." But many other people (especially nontechnical people) sincerely believe that AI is about to "change everything." As Suresh says, if you're in business with a liar, you might be able to reason with them in private – but you can't reason with a true believer.

The true believers are in charge. Suresh points out that it would be very weird for the CEO of an engineering firm or a hospital to mandate "specific procedures or building techniques without explicit agreement from the professionals on staff." But when it comes to AI, business leaders will confidently demand that the skilled professionals who perform the business's core functions use AI, even if those professionals don't think it will help.

As an aside: I remember the dotcom era, when the business press was full of articles about the conflict between CEOs and a new workforce that demanded the right to use the web on the job. Today, the business press is full of articles about the conflict between the workforce and CEOs who demand that they use AI.

Suresh describes workers who feel they have to "AI wash" their work: "They just do the work, the same way they have for decades, and say Claude did it." To add verisimilitude to this sham, they write circular processes in which one chatbot prompts another, and then the process repeats itself in reverse, for the sole purpose of consuming AI tokens to score a high rank on corporate "token leaderboards."

How to account for this wildly, expensively irrational corporate leadership? Suresh places the blame in the hypnotizing, mesmerizing power of the AI demo. For example: Hermit Tech is often engaged to set up a database product called Snowflake for its customers. Snowflake has a useless, expensive AI bolt-on called Cortex, that Snowflake itself describes as being 92% accurate under ideal circumstances (that is, at least 8% of the time, it will mislead you, perhaps very badly).

Suresh describes sales meetings with execs who were lukewarm on the idea of retooling with Snowflake, but who were very interested in Cortex. Against their better judgment, Suresh and his team provided them with a Cortex demo, carefully explaining that this AI tool could not satisfy their requirements. Without fail, this resulted in the previously lukewarm customers insisting that they be allowed to purchase Cortex immediately. Sales prospects who'd been unmoved by a pitch for new technology that would result in millions in savings were hypnotized by demos of a product that was described as unsuitable and unreliable.

To their credit, Hermit Tech refused to sell these customers Cortex, and stopped doing Cortex demos altogether. Suresh describes the experience of "the total 180°, that shift from ice-cold to red-hot buying frenzy" as "deeply unsettling." What's more, the Cortex demos that Suresh and co performed were, by his account, pretty uninspiring. The thing that these demos had going for them is that they showed AI actually doing something marginally useful, to execs who'd already spent millions on AI without having anything to show for their money. The spectacle of AI that does something galvanizes corporate leaders who feel like they're the only bosses who can't find a revolutionary use for AI in their businesses.

This is the situation up and down the corporate org-chart. Suresh has a reader whose title is "Head of AI" at a billion-dollar firm who tells him "their job is totally fraudulent but it was the only promotion pathway remaining at the organisation." This exec is hardly alone. They're part of a cohort of executives at companies that have publicly announced "100x" productivity gains, but who confessed to Suresh that nothing of the sort has happened.

Why did these companies make these claims? Because their customers were making the claims. How could you hope to sell to a company that had 100x'ed its productivity with AI unless you, too had 100x'ed your productivity? If, as a vendor, you walked into a boardroom and said that this wasn't a plausible claim, you'd be calling your sales prospect a liar, with real consequences: "getting enterprise contracts cancelled because you wanted to opine on something that doesn’t really matter to your organisation’s mission is a great way to get fired."

With the state of the industry dominated by froth, lies and mutual destruction pacts, it's no wonder that companies are deploying "totally gameable metrics such as 'money spent on AI'" as a means of evaluating employees and divisions.

Between true believers and people who must find ways to plausibly tout their AI usage, there is now a gigantic market for "AI solutions." At best these are just traditional tech consulting contracts, like migrating a database from Oracle to Snowflake, with some kind of ornamental AI usage around the edges so that the person who commissions the work can claim to be "procuring AI-enabled services" for the business.

This isn't a harmless frippery: contracts are delayed and work is put off until the work can be made "sufficiently AI" to attain the minimum degree of buzzword compliance. Worse: every fake AI project that produces real results (because it's not really AI) adds credibility to the AI true believers, who view these projects as proof that AI can do anything, and therefore demand to know why everything isn't being done by AI.

Suresh ends his essay with a long section on how to "navigate AI mania" – advice for how to smile and nod politely when you're confronted with AI bullshit, while steering clear of the worst consequences and avoiding needless fights. This looks like very sound advice for anyone in a corporate environment, but thankfully, that isn't me.

Rather than summarize that advice, I want to reflect a little on two questions that Suresh's essay raises but doesn't answer. The first is why? Why are people in power such easy converts to this religious mania?

I have my own theory. The most important discomfort that powerful people experience is having ego-shattering conflicts with subordinates who know how to do things they do not know how to do. The fact that you're "in charge" is hard to reconcile with the fact that the people you're nominally in charge of tell you that all your ideas are impossible, illegal, immoral, or lethal:

https://pluralistic.net/2026/01/05/fisher-price-steering-wheel/#billionaire-solipsism

Take that Cortex demo. Sure, Cortex is an expensive, unreliable way to address a Snowflake database. But (unlike Snowflake) Cortex is controlled via conversational, plain-language commands. With Cortex, a boss doesn't need to ask an underling to retrieve information from the company Snowflake system, an interaction that might come with unsolicited feedback about the technical or commercial incoherence of the boss's request. Cortex is the underling, except that unlike a human underling, Cortex never back-sasses you about your foolish questions. The fact that it grossly misleads you 8% of the time is a small price to pay for a life untroubled by uppity pismires who insist that your ideas be connected to base reality as they understand it.

The other question Suresh implicitly raises is, "How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?" The answer is that these AI users are "centaurs" – experienced workers who are assisted by automation on terms that they set for themselves:

https://pluralistic.net/2025/09/11/vulgar-thatcherism/#there-is-an-alternative

Thanks to their skill and experience, these workers possess discernment, the ability to tell good code from bad, and (more importantly) good uses of code-generation tools from bad. They demonstrate the adage that worker-driven automation improves quality, while capital-driven automation improves throughput:

https://pluralistic.net/2026/07/28/hitl-ers/#ai-ai-oh

An automation technique that requires close supervision by skilled and experienced workers isn't going to be a raw productivity powerhouse. You don't "100x" your code this way, at least, not in the sense of firing 99 of your coders and having the remaining programmer pick up all their work. Rather, an automation tool that requires the continuous and conscientious exercise of discernment will let individual practitioners improve their work in extremely satisfying and useful ways. It's a way to spend more on operations in order to produce better outputs. It's not a way to cut your workforce, realize a gigantic savings, and still produce comparable goods and services at a far lower cost.

That is why some individual coders report such delight with their AI tools. They engage with those tools on their own terms, to improve their work in the ways that they, in their expert judgment, consider beneficial. No one ranks them on a "token-maximization" scoreboard. No one tells them they can't do a project if it isn't "sufficiently AI." When they set out to do a project, no one makes them prove that it couldn't be "done by AI."

As ever, the most important fact about a given technology isn't "what it does," but "who it does it for" and "who it does it to."

All the pathologies Suresh observes and documents so well in this piece are hypertrophied versions of the buzzword-compliance dysfunctions from previous bubbles, but at a scale never before seen. Quantity has a quality all its own. These businesses aren't just wasting billions – they're replacing skilled workers with defective chatbots. As I've written before, AI is the asbestos we're shoveling into the walls of our technological society. Our descendants will spend generations digging it out again, and the longer the bubble goes on without popping, the longer it will take to repair the damage.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Vernor Vinge in the NYT https://www.nytimes.com/2001/08/02/technology/a-scientist-s-art-computer-fiction.html

#25yrsago Why publishers should thank Syklarov https://web.archive.org/web/20011023092940/http://www.zdnet.com/zdnn/stories/comment/0,5859,2800985,00.html

#25yrsago David Byrne track to be bundled with WinXP https://web.archive.org/web/20010804040357/http://www.ananova.com/news/story/sm_365899.html?menu=news.technology

#20yrsago Five things about blogs that no one ever needs to say again https://web.archive.org/web/20060813090449/http://www.stevenberlinjohnson.com/2006/08/five_things_all.html

#15yrsago Castles made from human hair https://inhabitat.com/artist-uses-human-hair-to-construct-a-castle-of-3000-bricks/

#15yrsago Wisconsin Democratic voters targeted with Koch-funded absentee ballot notices advising them to vote 2 days after the recall election https://www.politico.com/blogs/david-catanese/2011/08/afp-wisconsin-ballots-have-late-return-date-037977?showall

#15yrsago Gingrich’s million Twitter followers: “80% dummy accounts, 10% paid followers” https://web.archive.org/web/20110812100159/https://gawker.com/5826645/most-of-newt-gingrichs-twitter-followers-are-fake

#15yrsago Missouri State business-school professor leads successful campaign to ban Slaughterhouse-Five from local schools https://www.theguardian.com/books/2011/jul/29/slaughterhouse-five-banned-us-school

#10yrsago Australian media accessibility group raises red flag about DRM in web standards https://hotelsantalya.net/accessiq/news/news/2016-p/08-p/concerns-raised-for-assistive-technology-development-as-w3c-debates-encrypted/

#10yrsago Reminder: the GOP has been attacking veterans and their families for years https://web.archive.org/web/20160803203106/https://crookedtimber.org/2016/08/02/trumps-indecent-proposal/

#10yrsago Isis joins Donald Trump in denouncing Khizr Khan https://web.archive.org/web/20160802161454/https://theintercept.com/2016/08/02/donald-trump-and-islamic-state-agree-no-room-for-people-like-khizr-khan/

#10yrsago Furries don’t have sex in fursuits https://www.ohjoysextoy.com/fursuits-grey-white/

#5yrsago Machine learning sucks at covid https://pluralistic.net/2021/08/02/autoquack/#gigo

#1yrago AI's pogo-stick grift https://pluralistic.net/2025/08/02/inventing-the-pedestrian/#three-apis-in-a-trenchcoat


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

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https://pluralistic.net/plura-list

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https://mamot.fr/@pluralistic

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https://bsky.app/profile/doctorow.pluralistic.net

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https://doctorow.medium.com/

Tumblr (mass-scale, unrestricted, third-party surveillance and advertising):

https://mostlysignssomeportents.tumblr.com/tagged/pluralistic

"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: Enshittification and Reverse Centaurs go global (29 Jul 2026)


Today's links



A bow-wielding cherub standing amidst two antique globes. From behind one looms the poop emoji from the cover of Enshittification, mouth covered in a grawlix-scrawled black bar; from behind the other looms the reverse centaur from the cover of The Reverse Centaur's Guide to Life After AI.

Enshittification and Reverse Centaurs go global (permalink)

It's safe to say that the past couple of years have been good ones for me publishing-wise, thanks to a string of international bestsellers, both novels (Picks and Shovels) and nonfiction (Enshittification, Reverse Centaur), as well as plenty of awards and accolades:

https://craphound.com/shop

Over the past two months, I've won the Locus Award (Enshittification), had a NYT bestseller (Reverse Centaur), gotten a word in the OED ("enshittification"), and had the number one bestselling nonfiction paperback in Canada for more than a month running (Reverse Centaur). I also turned 55 – and my radiologist told me I'm now cancer-free, so it's been a good summer all around.

These books have done especially well internationally because they deal with technopolitics, which means that my readers are disproportionately Internet People, and for historical reasons, these are folks who are more likely to speak English, even if they live outside of the Anglosphere.

This post is primarily for those readers, who often write to me to let me know how much they enjoyed the books, so much so that they'd like to share them with their less online, less English-conversant friends, and want to know whether there is a translation coming in their own language.

Good news! Both Reverse Centaur and Enshittification have many foreign editions that are either published or forthcoming in the next year or so. The foreign rights team at Farrar, Straus and Giroux were good enough to prepare a list of all these editions, which I'm about to reproduce below.

If your preferred language isn't on the list, I apologize. Translation deals are primarily "pull," not "push" – that is to say, a foreign publisher contacts my publisher and asks for the rights (though my publisher does market the rights and attends all the book fairs where these deals are often made).

The upshot here is that I am not really in a position to do more than has already been done to get an edition published in your preferred language or territory. If you happen to have a favorite local publisher, you could always ask them if they would like to get in touch with Farrar, Straus and Giroux foreign rights team to secure a license.

I also need to note here that these deals are generally with established publishers who have relationships with national booksellers and distributors (rather than enthusiastic individuals who want to produce a translation and see if they can get it read by other people in their country). The hard part of publishing isn't the translation, the typesetting, the book design or even the writing – the hard part is connecting a text with its readers:

https://pluralistic.net/2021/07/04/self-publishing/

With that all said, here's the master list of editions of Enshittification and The Reverse Centaur's Guide to Life After AI:

Reverse Centaur: paperback, Jun 2026
https://us.macmillan.com/books/9780374621568/thereversecentaursguidetolifeafterai/

Reverse Centaur: hardcover, Jun 2026
https://www.versobooks.com/en-gb/products/3584-the-reverse-centaur-s-guide-to-life-after-ai

Reverse Centaur (as A Nagy Összemolás/The Big Collapse), not yet scheduled

Reverse Centaur, not yet scheduled

  • Taiwan 🇹🇼: Acropolis
    Enshittification, first quarter 2027
  • Thailand 🇹🇭: Salt Publishing
    Enshittification, Oct 2026

  • Türkiye 🇹🇷: Okuyanus
    Enshittification, Fall 2026

  • Ukraine 🇺🇦: Athena Publishing
    Enshittification, not yet scheduled

(These are the confirmed deals. There are lots of other deals in negotiation, especially for Reverse Centaur, which is only a month old.)

I hope some of you found this useful! If not (or if so!), don't worry, I'll be back with more essays in the days to come.

One final note for newsletter readers: I realize that I have violated my "one emoji per edition" rule with the flags above. Rest assured this will not be a regular thing.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#20yrsago Linux Thinkpads can be controlled by knocking on them https://web.archive.org/web/20060814065844/http://www-128.ibm.com/developerworks/linux/library/l-knockage.html?ca=dgr-lnxw01Knock-Knock

#20yrsago Why the CBC doesn’t need DRM https://web.archive.org/web/20060820121451/https://www.michaelgeist.ca/component/option,com_content/task,view/id,1342/Itemid,85/nsub,/

#20yrsago Aussie mall defends its photons from terrorists https://web.archive.org/web/20060910224208/http://www.theage.com.au/articles/2006/07/29/1153816426869.html

#15yrsago Sleepy English town to be entirely surveilled in case criminals forget and drive through it on their way to crimes https://web.archive.org/web/20110731020858/https://www.telegraph.co.uk/motoring/news/8670642/Sleepy-market-town-surrounded-by-ring-of-car-cameras.html

#10yrsago Lessons from the DNC: Ronald Reagan, the Southern Strategy, and “abnormal politics” https://crookedtimber.org/2016/07/30/philadelphia-stories-from-reagan-to-trump-to-the-dnc/

#10yrsago How to pay no taxes at all! (if you’re Apple, Google or Facebook) https://www.nakedcapitalism.com/2016/07/video-guide-to-legal-tax-evasion-with-an-apple-boycott.html

#5yrsago Games Workshop declares war on its customers https://pluralistic.net/2021/07/30/space-marines/#fairy-use-tale

#1yrago Delta's AI-based price-gouging https://pluralistic.net/2025/07/30/efficiency-washing/#medallion-clubbed


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: Discernment (28 Jul 2026)


Today's links

  • Discernment: How can you fact-check AI when you're asking it to teach you something you don't understand?
  • Hey look at this: Delights to delectate.
  • Object permanence: How to help with computers; Batman equation; Fuck and the law; NC's racist voting law; Pregancy app is full of spyware; Stiglitz v Apple's "tax fraud"; Accelerometer fingerprinting; Sacklers v bankruptcy; Boss-politics antitrust.
  • Upcoming appearances: Edinburgh, Sydney, Melbourne, Brighton, London, South Bend.
  • Recent appearances: Where I've been.
  • Latest books: You keep readin' em, I'll keep writin' 'em.
  • Upcoming books: Like I said, I'll keep writin' 'em.
  • Colophon: All the rest.



A 1960s classroom. A teacher in a blue dress stands at a blackboard in the background; in the foreground, a child works at a desk. The child's head has been replaced with the head of a killer robot. The blackboard is covered in printed circuits

Discernment (permalink)

As far as I can tell, this dialog between MacArthur prize-winning mathematician Terrence Tao and Chatgpt about "the Jacobian conjecture counterexample" is very impressive:

https://chatgpt.com/share/6a5fdc7a-d6f8-83e8-bbea-8deb42cfed56

Now, the clause "as far as I can tell" is doing a lot of work in that sentence. I am reasonably math literate, up to first-year calculus and a lifetime spent around my father (a mathematician). However, I have never heard of "the Jacobian conjecture," and while I know what all the words in the first paragraph of the relevant Wikipedia entry mean, I can't parse any of the sentences they form:

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

In other words, I lack the discernment to evaluate the output of the chatbot that Tao exchanged theories with. If you showed me an equally opaque transcript of a "conversation" between a chatbot and a crank with AI psychosis whose math made no sense whatsoever, I couldn't make an a priori judgment about which one was a solid piece of mathematical theorizing and which one was a math-flavored word-salad.

As many skilled programmers can attest, chatbots can produce very useful output – but as even the most ardent AI-assisted coder will admit, chatbot-written code is also full of baffling, obvious errors (and subtle, hard-to-spot ones):

https://pluralistic.net/2025/08/04/bad-vibe-coding/#maximally-codelike-bugs

These errors (which the industry wants us to refer to as "hallucination" – a whimsical, obscuring, anthropomorphizing euphemism) are the reason that reliable AI use requires the discernment that comes from skill and expertise. I use a local chatbot to spellcheck these posts. Chatbots spot all kinds of typos that regular spellcheckers miss:

https://pluralistic.net/2026/02/19/now-we-are-six/#stock-buyback

There's a reactionary group of strangers who seek me out to tell me that I'm a bad person for doing this. These are pointless conversations, mostly because I can barely make out a word over the scraping sounds of all the goalpost-moving these scolding strangers engage in.

They start by insisting that I'm burning down the planet by running a low-CPU load piece of software on my own computer. After I explain that running a chatbot on my machine uses no more carbon than, say, applying a blur effect to an image in my image editor, they tell me I'm unwisely giving my private data to the AI companies. Then I show them the network logs that demonstrate that my local chatbot doesn't send or receive any network data.

Then they turn to the supposed cognitive effects of using a chatbot to find typos in an essay. I explain that I'm not asking an AI to write things for me or explain them to me – I'm asking it to point out where I've forgotten to put a period at the end of a paragraph, or fatfingered a word like "ever" as "every." I even send them the "before" and "after" of an essay after I've corrected some chatbot-identified typos in it:

https://craphound.com/before.txt

https://craphound.com/after.txt

This is when things get increasingly pointless. My interlocutors come up with farcical reasons why it's immoral or dangerous to use this LLM-based spellchecker. They say I'm using too much compute and that I could use a simpler piece of software to do the same thing (which is both untrue and silly – I also run a journaling filesystem on my computer that is vastly overpowered for editing a textfile – who cares?). Or they insist that the mere act of making copies of published works in order to count their elements and the relationships between them is a sin, despite the fact that this standard would kill search engines, the Internet Archive, and the Oxford English Dictionary:

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

I mean, by all means let's hate the AI companies and work to end their disgusting campaign to pauperize creative workers, but let's not fall into the trap of siding with the media bosses who insist that the salvation of creative labor will arrive when Sam Altman pays David Zaslav for the right to cram the entire Warner catalog into Openai's chatbots:

https://pluralistic.net/2026/03/03/its-a-trap-2/#inheres-at-the-moment-of-fixation

Above all, my interlocutors continue to insist that my LLM-powered, local, open source chatbot spellchecker will make me a worse writer. It's a very strange insistence. My first word processor was a program listing published in a magazine I bought at a corner store and laboriously typed into my Apple ][+. In the 40+ years since, word processors have gotten lots of new features, many of which I thought were useful and many more that I found annoying. There were even some of these features that made the writers who used them worse at writing, in my (expert) judgment.

But from the very start, I knew that you couldn't just trust a spellchecker to correct your documents. I mean, I'm a science fiction writer. I started making up silly words decades before coining "enshittification." I've been telling spellcheckers to fuck off since I learned to type. If you aren't a good writer, spellcheckers are dangerous, and the more "advanced" the spellchecker is, the more dangerous it is.

A few of my collaborators insist that I use Office 365's AI-enabled version of Word to work on documents with them. It's maddening. I estimate the ratio of good suggestions to bad ones that M365 insists on shoving into my face at about 1:100. It's practically unusable – so much so that I often copy the block of text we're working on into a text editor, make my changes, then paste it back into the Word window.

If I were to accept even 10% of these suggestions, my work would be made significantly worse. Putting chatbots into Word pushed it from "annoying" into "enshittening." I certainly understand how relying on a chatbot to make edits to your work could make it worse.

That's where discernment comes in. I have written more than 30 books over the past 25 years. I have lots of experience defending my word choices, and not just against the mechanical judgments of a high-handed spellchecker, but also against overreaching copyeditors and paranoid publisher's lawyers. I know which words I want to write, and I know why I want to write them – and I know when a suggested fix is a good one and when it's wrong or stupid or just plain clunky. When it comes to writing, I have discernment.

That's not true when it comes to higher math. I would no more ask a chatbot to explain "the Jacobian conjecture counterexample" than I would tell my writing students to get a chatbot to suggest ways to fix their stories:

https://pluralistic.net/2026/01/07/delicious-pizza/#hold-the-gravel

I don't know nearly enough about math to ask a chatbot to explain it, or check my work, or even assemble a bibliography of human-authored works I should work my way through if I want to learn about it. If I wanted to understand "the Jacobian conjecture counterexample," I would set aside several days and work my way through that gnarly Wikipedia entry and its references and blue links to related concepts. If I really wanted to understand it, I'd enroll in a course at the Open University or Khan Academy.

All of this has been obvious to me since I first encountered LLM-powered bots. If you understand a subject really well – well enough to discern useful bot output from defective bot output – then bots can be useful. Sometimes very useful, mostly ordinarily useful. For example, I've been writing Pluralistic for about 6.5 years now. I've written 1,683 posts now (1,684 after I hit publish on this one), and the corpus is now getting large enough that I sometimes struggle to find a post I'm trying to reference, even with all my careful tagging and my extensive knowledge of WordPress's URL-line options for searching the database with tag and keyword combos.

I've been toying with the idea of exporting my whole corpus and shoveling it into a local chatbot, so that I can type, "Which post did I talk about the evils of showing people your chatbot output in?" and get a link to the correct essay:

https://pluralistic.net/2026/03/02/nonconsensual-slopping/#robowanking

(Don't follow this link! I will be referencing the essay it goes to shortly; I struggled to find it when I sat down to write today; I'd accidentally tagged it with "at" instead of "ai" and missed the typo when I published it.)

There are very few subjects I have more discernment over than "essays I have written." If I ask a chatbot to tell me which post I'm thinking of, I will instantly know which of its guesses are correct and which ones aren't. No one in the universe is better qualified than me to perform this task. No one ever will be.

Now, as it happens, I know exactly how badly a chatbot can screw up when it comes to my own work, because strangers insist on asking chatbots about me and then, for reasons I find baffling, they send me the output. Please don't show anyone your chatbot transcripts unless they ask to see them. It's embarrassing at best and annoying at worst:

https://pluralistic.net/2026/03/02/nonconsensual-slopping/#robowanking

(There's that reference I promised. You can follow the link now!)

Again, discernment is everything when it comes to getting useful work out of a chatbot. If you don't know anything about my work and you ask a chatbot to explain it to you, you will likely be badly misled. If you are familiar with my work and you ask a chatbot for the best examples where I explain a given subject, you may get a good answer, and if you get a bad one, you'll know it.

The centrality of discernment to productive AI usage is obvious, and that's why I find the insistence that AI can be used as a teaching assistant (or worse, a teacher) so baffling. By definition, a student isn't an expert on the subject they're studying. That's the whole point of studying – to acquire knowledge and thus discernment. Asking students to learn via chatbot explanations is both incoherent and dangerous.

Doubtless, there are ways that teachers might find chatbots useful, but for Christ's sake, don't use them to teach. There's plenty of ways teachers can use chatbots without asking students to learn from them.

Here's an example. My daughter graduated from a big, typical American high school a couple years ago, and I spent her high-school years getting progressively angrier about the bad compromises that her teachers were forced into.

Between "Common Core" and "Advanced Placement," the US system has been highly standardized. Teachers are under enormous pressure to teach specific aspects of specific subjects in a specific order, and students are told that their future life chances turn on their ability to pass high-stakes tests:

https://pluralistic.net/2024/01/16/flexibility-in-the-margins/#a-commons

This gives rise to many frustrations for teachers and students alike, but nothing got my dander up so much as my daughter's math teachers' testing practices. In all of my kid's higher math classes, teachers had a single, prized set of tests, and lived in fear of these escaping into the wild and turning into cheating aids. As a result, teachers collected students' math exams and quizzes and did not return them. Students sat exams, worked through the problems and got their grades – but were not allowed to take home their tests to see where they went wrong.

Look, I know I'm no mathematician, and I know I'm not a math teacher, but I know enough about pedagogy to know that this is crazy. This is like trying to get better at archery by loosing arrows at a target but not checking to see where they hit. It's bananas.

I also understand why the teachers felt they had to do it. Writing test questions that test for specific concepts in a specific order is a lot of work, and generating new tests for every class is the kind of task that would consume time better spent on lesson planning and meeting with students.

It's easy to imagine a teacher who creates prompts for each test question that cause a chatbot to emit a new test paper for each class, along with answer keys. These questions are easily validated by a skilled teacher, who definitionally has the discernment to know whether a test question fits the bill. I could even see vibe-coding a little app to spit these questions out – though again, I would want the teacher to work through the questions each time to make sure they were sound.

Both my parents are teachers. My brother is a teacher. I teach every now and again. Teachers do a lot of repetitive, unrewarding work. They also do a lot of difficult, creative, extremely important work. Good teachers have the discernment to sort good classroom materials from bad ones. They do that already, because just as you don't need an LLM to generate bad spellchecker suggestions, you also don't need an LLM to generate sub-par educational materials. There are plenty of "educational" publishers who'll do that all day long.

AI is a normal technology. That means there are times when it is useful and times when it is pointless or actively harmful. One rule of thumb for chatbots is that they can only provide useful information to experts who have the discernment to ignore the defective output that LLMs always emit. That means that the dream of chatbots as replacements for teachers is a nightmare.

Getting rid of teachers because we all have chatbots is like getting rid of doctors because we all have the plague.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago How to help someone use a computer https://pages.gseis.ucla.edu/faculty/agre/how-to-help.html/

#20yrsago Arrested for taking a pic of a cop arresting someone else https://web.archive.org/web/20060813102257/http://www.nbc10.com/news/9574663/detail.html

#15yrsago Batman logo in equation form https://www.reddit.com/r/pics/comments/j2qjc/do_you_like_batman_do_you_like_math_my_math/

#15yrsago Vindictive WalMart erroneously accuses couple of shoplifting, has husband deported, wife fired, costs them house and car https://web.archive.org/web/20111002102637/https://www.courthousenews.com/2011/07/26/38455.htm

#15yrsago House Committee passes bill requiring your ISP to spy on every click and keystroke you make online and retain for 12 months https://www.eff.org/deeplinks/2011/07/house-committee-approves-bill-mandating-internet

#15yrsago Fuck and the law https://papers.ssrn.com/sol3/papers.cfm?abstract_id=896790&

#15yrsago Bill Nye explains to Fox News why lunar volcanoes don’t disprove anthropogenic global warming https://web.archive.org/web/20110924185725/https://www.mediamatters.org/mmtv/201107280007

#10yrsago North Carolina’s voter suppression law struck down as “racist” https://edition.cnn.com/2016/07/29/politics/north-carolina-voter-id/index.html

#10yrsago Pregnancy-tracking app was riddled with vulnerabilities, exposing extremely sensitive personal information https://www.consumerreports.org/electronics-computers/mobile-security-software/glow-pregnancy-app-exposed-women-to-privacy-threats-a1100919965/

#10yrsago “Tellin The World” 1972 voting PSA aimed at 18-25 y/o working-class voters https://archive.org/details/TellinTheWorld

#10yrsago Trump campaign frisks, then blocks ticketed Washington Post reporter at Pence rally https://web.archive.org/web/20160729170353/https://www.washingtonpost.com/news/the-fix/wp/2016/07/28/a-washington-post-reporter-was-banned-from-a-trump-pence-rally-yesterday-that-should-frighten-you/

#10yrsago Nobel-winning economist Joseph Stiglitz calls Apple’s tax strategy a “fraud” https://web.archive.org/web/20160731112543/http://www.bloomberg.com/news/articles/2016-07-28/stiglitz-calls-apple-s-profit-reporting-in-ireland-a-fraud

#5yrsago Unauthorized cups https://pluralistic.net/2021/07/29/impunity-corrodes/#well-run-dry

#5yrsago Tracking you with accelerometer signatures https://pluralistic.net/2021/07/29/impunity-corrodes/#in-motion

#5yrsago Stories from Black women's customer service hell https://pluralistic.net/2021/07/29/impunity-corrodes/#arise-ye-prisoners

#5yrsago Bankruptcy and elite impunity https://pluralistic.net/2021/07/29/impunity-corrodes/#morally-bankrupt

#1yrago Boss-politics antitrust and the MAGA crackup https://pluralistic.net/2025/07/29/bondi-and-domination/#superjove


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: AI solipsists and AI cynics (24 Jul 2026)


Today's links



A carny barker waving his top-hat and selling tickets from a roll; his head has been replaced with the hostile red eye of HAL9000 from Kubrick's '2001: A Space Odyssey.' The background is a magnified, halftoned detail from a US$100 bill.

AI solipsists and AI cynics (permalink)

As a technology, AI isn't exceptional. It's not exceptionally wicked. It's not exceptionally good. Take away the accompanying, galactic-scale stock-swindle, and we'd call AI's applications "plug-ins" and we'd use them and abuse them in the same way that we've used every other technology:

https://www.normaltech.ai/

As a destructive economic pathology, AI is extraordinary. AI boosters have spent a baffling and terrifying sum of money – over $1.4T, most of that in the past year – on the promise of making as many workers unemployed as possible, while lowering the wages of the meager survivors of this jobspocalypse. To make things worse, AI can't do the jobs it's replacing: AI is predicated on the premise that the monopolies, duopolies and cartels that control the global economy can deliberately worsen their products without suffering economic or regulatory consequences, because they're the only game in town.

In service to this bubble, AI companies have suborned regional governments into running roughshod over environmental and planning review in order to build endless acres of data centers, many of which will likely end up casualties of the imminent bubble-pop, never to be switched on or even completed. What an indignity to have your farm or house seized through eminent domain, only to see it razed and replaced by a weed-choked empty field, a lonely foundation slab, or an abandoned empty building that could only ever be repurposed for laser-tag or an ICE concentration-camp:

https://gizmodo.com/trump-on-data-centers-you-cant-fight-it-you-have-to-go-with-it-2000790014

This is just one of the many negative effects of AI that can be traced to the scale of the bubble. Were it not for the imperative to turn more than a trillion dollars of losses into a profit, we would not have the aggressive, site-destroying scraping epidemic. Nor would we see AI crammed into every part of every product and service we use. And of course, in the absence of the investment bubble, businesses wouldn't be firing productive workers and replacing them with defective chatbots.

The single most salient fact about AI is the investment bubble, not the technical characteristics of chatbots or recent advances in statistical inference. AI's investor story is an incoherent tangle of predictions about AI's future, ranging from the outlandish ("Once we spend enough money, AI will become God and solve all our problems, including our profitability crisis") to the dystopian ("The majority of jobs in the economy will be done by our chatbots, and the employers who previously employed those workers will split the wage savings with us").

None of these stories are plausible, which raises an urgent question: why have the world's wealthiest investors been so eager to hand over trillions to finance this bubble?

I have previously written about one reason that billionaires find the AI story so compelling: at root, many billionaires just don't believe most other people are actually, fully real. How could they? Achieving billionairehood requires that you inflict pain on vast numbers of people. If you truly believed that those people were as real as you are, you'd never be able to look yourself in the mirror. Whether it's Leona Helmsley's claim that "only the little people pay taxes," or Elon Musk's habit of calling people who disagree with him "NPCs," the whole ideological project of billionaireism is shot through with a kind of solipsism:

https://pluralistic.net/2026/01/05/fisher-price-steering-wheel/#billionaire-solipsism

This is true even in one-on-one encounters: for the Epstein Class, the children raped on his island weren't fully real – certainly not as real as their own children. It's even more true for the people that billionaires experience as statistical artifacts, such as Jeff Bezos's vast army of drivers and warehouse workers, with their sky-high on-the-job injury rates and the everyday indignity of their piss-bottles. It gets worse for social media bosses like Mark Zuckerberg, for whom AI's principal appeal is the prospect of ending socializing on social media, swapping your mulish friends for pliable chatbots who will organize their interactions with you to maximize your platform usage and thus the number of ads you see:

https://pluralistic.net/2026/01/19/billionaire-solipsism/#sirius-cybernetics

I think billionaire solipsism can account for much of the malinvestment in this obvious bubble, but I don't think it's the whole story. Rather, I think there's a whole cohort of investors who don't believe in AI, but believe that other people will believe in AI.

This is a well-established investment principle. As Keynes wrote, the point of investing isn't necessarily to pick the most beautiful contestant to win the beauty contest – it's to pick the contestant that the other judges will hand the crown to:

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

In other words, you don't get rich from stock speculation by identifying the businesses whose profitability will grow the most – you get rich by identifying the businesses that other investors will pile into, pushing the price up. All you need to do is sell your shares after the price spike, but before anyone else figures out that the business is a turkey. It's like that old joke: "I don't need to run faster than the bear (market), I just have to run faster than you."

From the perspective of a cynical AI investor, the question isn't, "Can AI do your job?" The question is, "Can an AI salesman convince your boss that an AI can do your job?" So long as enough bosses are convinced to fire workers and replace them with AI, AI valuation will continue to climb, and if they time the market right, they can get out before those valuations crash. This proposition gets even sweeter if the CEO of the AI company is in bed with financial regulators and stock exchanges, and can force your financial advisor to buy his worthless AI stock with "little people's" retirement savings:

https://fortune.com/2026/06/13/spacex-stock-index-funds-passive-investing-401k-nasdaq-100-russell/

A bet that bosses will fire workers and replace them with AI is a good wager. Bosses are absolute suckers for this scam. Bosses hate the fact that they can't translate their plans into action without first having a series of ego-shattering confrontations with workers who actually know how to do things, who insist that those plans are illegal, stupid, impossible or will kill people:

https://pluralistic.net/2026/03/12/normal-technology/#bubble-exceptionalism

For these bosses, AI is the chance to wire the toy steering wheel they play with all day directly into the corporate drive-train. With enough AI slaves, the boss can run the company all on their own:

https://pluralistic.net/2026/07/10/posthuman-as-in-no-humans/#hell-is-other-people

In other words, you don't need to be a solipsist to bet on AI. It is sufficient to believe that bosses are solipsists, who can be relied upon to empty the corporate coffers in exchange for worker-replacing magic beans.

This is true in many scam sectors. I'm sure that most of the people who finance the supplements that Andrew Tate and Joe Rogan hawk understand that they're just a way to give yourself very expensive piss. They don't have to believe supplements work to believe that there is an army of desperate and credulous young men who will give anything for the promise they dangle.

Likewise, you don't have to believe that Gwyneth Paltrow can help women "regulate their periods" and "correct their hormonal imbalances" by selling them rocks to stuff in their vaginas. You just have to believe that between patriarchy-induced body shame and patriarchy-driven medical neglect, there's an army of desperate women out there who will buy those rocks and risk their lives by sticking them inside their bodies:

https://web.archive.org/web/20181225035739/https://www.vogue.com/article/goop-jade-yoni-egg-lawsuit-gwyneth-paltrow-vaginal-pelvic-floor-health

AI is even worse than vagina-rocks, of course. When the bubble bursts, when the seven AI companies that make up 35% of the S&P 500 tank, when a third of the US stock market is vaporized overnight, our governments will reflexively turn to austerity, the go-to response to every financial crisis. Austerity is fascism's best recruiting tool:

https://pluralistic.net/2026/04/12/always-great/#our-nhs

When the AI bubble bursts, the defective chatbots that replaced skilled workers will disappear with it, leaving us scrambling to get that work done after the workers who understood it have retrained, retired, or exited the workforce. AI is the asbestos we're shoveling into the walls of our civilization and our descendants will be digging it out for generations:

https://pluralistic.net/2026/04/08/process-knowledge-vs-bosses/#wash-dishes-cut-wood

Long after the AI bubble bursts, we'll be dealing with its catastrophic carbon emissions. The Second Law of Thermodynamics isn't up for debate. Once we sink enough therms into the sea, we are losing the ice-caps.

AI is an ordinary technology, but the AI bubble is extraordinary: extraordinarily toxic and extraordinarily dangerous. The source of that danger is financiers, and they are motivated by a mix of solipsism and a belief in other people's solipsism. For them, the most exciting investment hypothesis is that "hell is other people":

https://locusmag.com/feature/commentary-cory-doctorow-hell-is-other-people/

(Image: Cryteria, CC BY 3.0, modified)


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Stolen, infected computer transmits its location by virus spamming owner's address book https://slashdot.org/story/01/07/25/1510213/tracking-a-thief-via-the-sircam-virusa

#15yrsago Çurface: an industrial surface made from compressed coffee and melted coffee cup https://memex.craphound.com/2011/07/25/curface-an-industrial-surface-made-from-compressed-coffee-and-melted-coffee-cups/

#15yrsago Samsung Galaxy Tab 10.1: Android iPad-killer is a poorly thought-through disappointment https://www.theguardian.com/technology/2011/jul/25/why-samsung-galaxy-tab-is-meh

#15yrsago Strange tunnels of Austro-Germany https://web.archive.org/web/20120621155245/https://www.spiegel.de/international/zeitgeist/hideouts-or-sacred-spaces-experts-baffled-by-mysterious-underground-chambers-a-775348.html

#15yrsago BitCoin alternative: distributed, but not decentralized cash https://www.links.org/files/distributed-currency.pdf

#10yrsago Bruce Schneier on the coming IoT security dumpster-fire https://web.archive.org/web/20160725221959/https://motherboard.vice.com/read/the-internet-of-things-will-cause-the-first-ever-large-scale-internet-disaster

#10yrsago Our public health data is being ingested into Silicon Valley’s gaping, proprietary maw https://web.archive.org/web/20170917070322/http://www.nature.com/news/stop-the-privatization-of-health-data-1.20268

#5yrsago Amusement parks, crowd control and load-balancing https://pluralistic.net/2021/07/25/now-youve-got-two-problems-part-iii/


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: Why aren't AI companies competing directly with their customers? (13 Jul 2026)


Today's links



Three gold rush miners standing around a mule wagon piled high with mining supplies. They are surmounted by a Gold Rush-era advertisement reading 'GOLD MINING will be the leading business in the Northwest this year/EVERY MERCHANT can be prepared to supply his customers and keep his Profits and Money at home by inspecting/OUR LINE. It is complete. Send for our prices. Prompt shipments made.' The three miners' heads have been replaced with the heads of robots ganked from old pulp sf magazines. In the background a young man is performing a joyous headstand. The image has been sepia-toned.

Why aren't AI companies competing directly with their customers? (permalink)

"I often wonder what the Vintners buy/One half so precious as the Goods they sell" -The Rubáiyát of Omar Khayyám

I first encountered that quote from someone extolling the virtues of bookstores, and it stuck with me, because for most of my childhood, every bookstore visit ended with me broke and wishing I'd had three times as much to spend.

As a larval hyperlexic, I just didn't understand what a bookseller could possibly buy with my money that was better than the books they already had? Of course, then I became a bookseller and discovered that Sturgeon's Law ("90% of everything is shit") applies to a bookstore's wares as much as it does to anything else. I also acquired a monthly rent obligation and discovered just how important money could be.

Nevertheless, Omar Khayyám's question stuck with me, especially when I fell down a years-long rabbit-hole of learning about scams and the finance sector (but I repeat myself). Every get-rich-quick schemer will tell you that they've found the infinite money hack, which they will sell to you for a remarkably reasonable sum. Likewise, every stock picker claims they can outperform a simple low-load index fund, and all they ask of you is a few hundred basis points in exchange for multiplying your wealth beyond the dreams of Creosote. Neither one has a good answer to Khayyám's question: if you can make all the money with your amazing system, why do you need my money?

This is a question that needs to be forcefully put to AI hucksters. In their more expansive moments, the Altmans and Amodeis of the world will tell you that they're planning to teach the word-guessing program so many words that it will wake up and become god. DOGE's broccoli-haired brownshirts laughed in the faces of the NIH lifers who begged them not to vaporize their long-running cancer research projects: "General AI is around the corner and it's going to cure cancer. Cancer research is a waste of money!"

Which all raises the question: if you've truly incubated a foetal demiurge in your "AI lab," why are you offering to sell it to me? What do the AI hucksters buy/One half so precious as the Gods they sell?"

Of course, they might answer, "We need your money now so we can make god later." That's why they want your boss to fire you and replace you with their chatbots and split your wages with your former employer. But this just raises the same question: if you have a chatbot that can do a doctor's job, why sell it to a hospital? Why not just open your own hospital? If you've got a chatbot that can do a tax accountant's job, why sell it to a tax-prep service? Why not just open a tax-prep service? If you've got a chatbot that can teach my kids, why sell it to my local school district? Why not just open a school?

If the chatbot can do the job, and if the chatbot costs less than the worker who does the job today, then the chatbot company can profitably sell services more cheaply than anyone who presently employs that worker, because the chatbot company already owns the chatbot. If you were really on a glide path to creating an all-powerful deity and just needed cash to keep the venture going until the cancer-curing word-guesser awoke from its long slumber, then wouldn't you want as much cash as possible? Why would you voluntarily split the take with some sucky, washed, non-god-generating business from before 2022?

I think the only reason this question doesn't come up more frequently is that we're stewing in what Douglas Rushkoff calls the "go meta" economy, in which the most respectable and smartest business to operate must be as many abstraction layers away from real work as possible. Don't drive a taxi, own a medallion that you rent to the cab driver. Don't own a medallion, start a "rideshare" company. Don't start a rideshare company, invest in a rideshare company. Don't invest in a rideshare company, buy options to invest in a rideshare company:

https://pluralistic.net/2022/09/13/collapse-porn/#collapse-porn

The inverse relationship between doing something useful and making money is deeply ingrained in our economic wisdom. Take the world of online grifters, who don't just peddle get-rich-quick PDFs, they also peddle tools to generate get-rich-quick PDFs, as well as tools to steal other "wealth influencers'" insta videos and deepfake yourself into their pretend private jets:

https://www.404media.co/how-i-bought-a-private-jet-by-selling-10-subscriptions-to-404-media/

The scam economy boasts a bewildering array of ancillary services, like a $150/month service that lets you produce fake screenshots showing vast monthly income on other scam services (November Kelly calls this "The world's most expensive 'inspect element'"):

https://www.patreon.com/trashfuture/posts/faux-high-level-163443872

It's an old truism that in a gold rush, the only people who come out ahead are the people selling the picks and shovels. But that's not true – there's even more money to be made wholesaling picks and shovels to the retailers who operate the frontier mercantiles. Go meta!

https://commons.wikimedia.org/wiki/File:Alaskan_Gold_Mining_Supplies_(1897)_(ADVERT_277).jpeg

Today's economy is dominated by pick-and-shovel wholesalers. America is a gerontocracy drowning in MBAs, while there's no one to do eldercare:

https://www.msn.com/en-us/news/us/why-recruiters-can-t-find-workers-and-new-grads-can-t-find-jobs-it-s-not-ai/ar-AA27K57y

So it's not surprising that we don't ask why these AI god-botherers need our stupid money while they're immanentizing the eschaton. Why would they operate a hospital if they could go meta and sell the doctorbots to the MBAs running the hospital?


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Pro-lumber industry spoof of The Lorax https://web.archive.org/web/20010721042828/http://www.forestcouncil.org/news/articles/truax1.htm

#25yrsago Remixable vocal tracks from the next Public Enemy release https://web.archive.org/web/20010813195140/http://www.slamjamz.com/slamnews.php?article=7

#20yrsago Wikipedia creates RSS for its posts https://web.archive.org/web/20060718103013/http://www.micropersuasion.com/2006/07/wikipedia_entir.html

#20yrsago Anti-DRM picture-book https://web.archive.org/web/20060721095740/https://dustrunners.blogspot.com/2006/07/pig-and-box.html

#10yrsago The US has spent $122B training foreign cops and soldiers in 150+ countries, but isn’t sure who https://web.archive.org/web/20160713145824/https://theintercept.com/2016/07/13/training/

#10yrsago German free school teaches without grades, timetables or lesson plans https://www.theguardian.com/world/2016/jul/01/no-grades-no-timetable-berlin-school-turns-teaching-upside-down

#10yrsago For the first time, a federal judge has thrown out police surveillance evidence from a “Stingray” device https://www.rawstory.com/2016/07/federal-judge-throws-out-evidence-gathered-with-stingray-cell-phone-tracker/

#10yrsago Day on a Device: art made by screenshotting a multitasker’s screen with each context-switch https://www.theverge.com/2016/7/13/12170526/multitasking-phone-laptop-pierre-buttin-art

#10yrsago Remarkably Normal: the true stories of abortion in America https://web.archive.org/web/20160810092901/http://jezebel.com/the-vagina-monologues-but-for-abortion-1783289270/amp

#10yrsago Theresa May performs the Fresh Prince of Bel-Air theme https://www.youtube.com/watch?v=xv7Jd94bnOI

#10yrsago UK Labour’s dirty trick excludes 130,000 members from leadership vote https://web.archive.org/web/20160712225142/http://www.itv.com/news/2016-07-12/corbyn-opponents-try-to-fix-vote/

#10yrsago Security researchers: the W3C’s DRM needs to be thoroughly audited https://www.eff.org/deeplinks/2016/06/call-security-community-w3cs-drm-must-be-investigated

#10yrsago Help Doctors Without Borders fill in the geodata blanks for vulnerable communities https://missingmaps.org/blog/2016/07/14/mapswipe/

#10yrsago Sign a book of congratulations for America’s new Librarian of Congress https://web.archive.org/web/20160718023555/https://action.everylibrary.org/congratulate_carla_hayden_today

#10yrsago Hungary’s Cold War cartoons were weird and awesome https://globalvoices.org/2016/07/14/the-fascinating-world-of-cold-war-era-hungarian-cartoons/

#10yrsago The ACLU has a roadmap for defeating President Donald Trump’s signature initiatives https://web.archive.org/web/20160715131734/https://action.aclu.org/sites/default/files/pages/trumpmemos.pdf

#10yrsago America’s infrastructure debt is so bad that towns are unpaving roads they can’t afford to fix https://web.archive.org/web/20160713170836/https://www.wired.com/2016/07/cash-strapped-towns-un-paving-roads-cant-afford-fix/

#10yrsago It’s official: the Olympics result in the worst budget overruns of any megaproject https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2804554

#10yrsago Vivendi lobbyist appointed to run copyright for UN agency https://web.archive.org/web/20160717052135/http://keionline.org/node/2614

#10yrsago The long, racist history of Brexiteer Boris Johnson, the new UK Foreign Secretary https://www.bbc.co.uk/news/world-36792746

#5yrsago Facebook employees stalk users https://pluralistic.net/2021/07/14/who-watches-the-zuckmen/#pecksniffs

#5yrsago Semantic drift versus ethical drift https://pluralistic.net/2025/07/14/pole-star/#gnus-not-utilitarian


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

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https://mamot.fr/@pluralistic

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: CARDiac, syntax coloring, view source and vibe code (03 Jul 2026)


Today's links



An insanely complex machine made up of many gears, troughs, water wheels, springs, screws, etc. It is housed in a brick building whose facade has been broken away. Three human figures labor to power the machine, turning cranks.

CARDiac, syntax coloring, view source and vibe code (permalink)

In the mid-1970s, my dad – then a budding computer scientist, subsequently a math teacher – brought home my first computer: the CARDiac, a Turing-complete, all-cardboard papercraft computer that you could write and execute programs on:

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

CARDiac stands for "CARDboard Illustrative Aid to Computation," and it was created in 1968 at Bell Labs as a way to teach high schoolers how computers worked. I wasn't anywhere near high school age (I think I was in third grade?) but the CARDiac was revelatory. The year before, I'd had access to a teletype terminal and acoustic coupler that let me operate a PDP machine at the University of Toronto, and I'd been endlessly fascinated with the possibilities. I wrote simple BASIC programs, chatted with ELIZA, and messaged other system users, one keystroke at a time, all on paper (the terminal didn't have a screen, just a printer, and we fed it 1,000' rolls of paper towels my mom brought home from her kindergarten classroom, which I then rolled back up so she could put them back in the bathroom for the kids to dry their hands on).

Interacting with a computer in real-time was captivating, but it wasn't until I assembled and used the CARDiac that it all snapped into place. With the CARDiac, you composed simple programs with pencil and paper, then followed instructions that directed you to move paper tokens in and out of various slots representing memory cells and an accumulator. All an electronic computer does is repeat these crude mechanical operations, millions of times per second, using microscopic transistors. None of that action can be observed with the naked eye, of course. If you had a very sensitive multimeter and a very good microscope, it's conceivable that you could indirectly watch this intricate dance, but only on very early processors, and only if you drastically slowed down their operations.

Much later, I learned a word for what I got from the CARDiac: legibility. Together, the CARDiac and I made a working digital computer, with me standing in for the physics that propels electrons down the endless labyrinth of a microchip, like a pinball triggering various blooping, beeping bumpers. Though the computing we performed was sub-trivial (adding one and one was a major undertaking!), the physical performance of that computing imbued me with Fingerspitzengefühl ("fingertip feeling"):

https://en.wikipedia.org/wiki/Fingerspitzengef%C3%BChl

This stood me in great stead in the years to come. To this day, when I think about my computer, I sometimes imagine those little cardboard tokens, shuffling in and out of the slits in my paper CARDiac. There's something very reassuring about this imagery. No matter how many levels of abstraction sit between me and the nanoscale transistors ranked in their billions beneath my fingertips, they are all undertaking those familiar operations I painstakingly performed on my child's desk all those years ago.

(This is one of the things that makes Science Comics Computers: How Digital Hardware Works such an amazing kids' book! By illustrating how a computer's operations are built up from simple boolean logic that can be represented as physical switches, the comic performs that same legibilizing magic that I got from the CARDiac:)

https://pluralistic.net/2025/11/05/xor-xand-xnor-nand-nor/#brawniac

Not long after my CARDiac experience, my dad brought home an Apple ][+, which came with a schematic that revealed the inner workings of the machine in ways that I found visually striking, if significantly less accessible than the CARDiac:

https://downloads.reactivemicro.com/Apple%20II%20Items/Hardware/II_&_II+/Schematic/Apple%20II%20Schematics.pdf

(For me, at least. For the legendary hardware hacker Andrew "bunnie" Huang, it was the start of a journey that turned him into one of the world's virtuoso reverse-engineers and science communicators):

https://pluralistic.net/2026/01/09/quantity-break/#so-many-chips

The Apple ][+ did very little when you took it out of the box. It came with a few floppies' worth of demo programs, and we bought a few more down at the local computer store, but most of the programs I ended up using with that machine were ones I typed in myself, from magazines I bought at the corner store (I spent half my magazine budget on Cracked, Mad and Crazy, the other half on computer magazines full of BASIC program listings).

Typing in a program, keystroke by keystroke, was another Fingerspitzengefühl-generating exercise. I wasn't much of a typist, so it was slow going, and of course I made a lot of typos. What's more, BASIC had already fragmented into several dialects by this point, so even a correctly typed program could fail to run until it had been adapted for the BASIC that shipped with the computer. Getting a program to run on my computer required me to hone my typing skills, but even more so, my problem solving skills.

After months of this, I (re-)invented the debugger, from first principles, coming up with lots of little tricks and gimmicks (many of them horribly inefficient) for identifying and solving my programs' errors. In later years, I had lots of opportunity to work with real debuggers, created and maintained by trained programmers who'd forgotten more than I would ever know about writing code, and my own cack-handed efforts to build my own version of their tools conferred a confidence and intuitive understanding that I could not have achieved otherwise. Figuring out the need for a debugger and then rolling my own (crude, inefficient) one made all debuggers more legible to me.

I think that "legibility" is an underrated trait. If a system is legible to you, then you have a superior basis for understanding it, improving it, and making it work again when it breaks down.

There's an old joke that goes, "physics is applied math; chemistry is applied physics, and biology is applied chemistry" (I've also heard versions that start with "math is applied philosophy" and carry on to "sociology is applied biology," etc). While this isn't entirely true, there's something profound in it: we understand and manipulate our complex reality by wrapping it in abstractions that package up a writhing, shuffling, vibrating machine inside a smooth, serene membrane with a sturdy and easily grasped handle. You could do chemistry using the tools of physics, but it would take hours to perform the kind of calculations a chemist does in seconds (just as it takes an eternity to add one and one with a CARDiac).

Nevertheless, there are times when it is useful for a biologist to think about chemical processes, and for a chemist to think about interactions at the level of physics, and for a physicist to do math. The membrane and the handle are essential, but sometimes you have to decap the sealed package and inspect and manipulate its internals directly. Problem solving, improvement and maintenance all require the ability to move up and down the stack of abstractions to figure out where to stick your probes and stage your interventions.

This is where legibility comes in. Interacting with physical processes improves your mental model. In Broad Band (a magisterial history of women in computing), Claire Evans talks about how the first programmers were women who did the "unskilled" labor of physically cabling components together, developing powerful Fingerspitzengefühl, with such high-fidelity, trans-abstraction mental models of the machines' operations that they became the world's best programmers and debuggers:

https://pluralistic.net/2021/02/13/data-protection-without-monopoly/#broad-band

My early adventures in programming were so powerful and instructive because nearly all the programs I interacted with on my Apple ][+ were written in BASIC (not just the ones I keyed in, but also the demo software and much of the packaged software we bought). That meant that I could get a listing of any program I was using, peeling open the membrane to look at the machinery underneath. I could even laboriously trace the operations of that program using my toy debugger. This, too, was legibility: the ability to flip between the effects of the running code, and the instructions themselves (and then to mentally map those instructions onto the movement of cardboard tokens in my CARDiac).

This affordance was repeated later on the early web, thanks to the "View Source" function that came built into every browser, acting as a velcro tab for the membrane that separated rendered web pages from their underlying instructions. In my early years as a web developer, I copied, pasted, adapted, probed and traced HTML in ways that would have been instantly recognizable to the younger me, keying in those BASIC programs and ripping apart the commercial software on my computer.

I read somewhere that the Bell Labs scientists who created the CARDiac were worried that, thanks to transistorization, the next generation of programmers wouldn't understand the physical, material processes that unfolded when their programs ran, and that this would mean a loss of legibility and intuition and Fingerspitzengefühl. I can't track down the reference now, but it stuck with me, because the CARDiac is such a perfect way of preserving those virtues.

Modern computer science curriculum includes some chip design for just this reason (just as chemists study physics and biologists study chemistry). But there are plenty of programmers – better programmers than I ever was or will be – who taught themselves and never had a CARDiac or gave much thought to chip design. They work at different layers of abstraction and in different ways to solve different problems. Maybe they could improve their art by tinkering with FPGAs, but there's always something even the most skilled artisan can do to round out and incrementally improve their craft.

In the same way, there are plenty of programmers – better ones than I ever was or will be – whose journey started at higher abstraction layers than a teletype terminal or a CARDiac. Maybe they started with a browser's View Source, teasing apart other people's Javascript to create weird Myspace customizations. Maybe they tweaked a programmable block in Minecraft. Maybe they modded a Scratch game. Or maybe they recorded macros using Applescript or Hypercard or Visual Basic to automate a routine task, only to later open up the source code generated by the macro recorder to make fine adjustments.

Whether you're pasting source from Stack Overflow or recording a macro in Excel, you are just one operation away from unwrapping the membrane and exposing the code beneath it. And with the modern internet, with Wikipedia, with endless tutorial videos, you are one further operation from penetrating the high level code to get at the code beneath it, and the code beneath that, and the code beneath that, all the way down to the bare metal.

Which brings me to vibe coding. As I've written, there's a world of difference between writing code for production and writing "personal software" that solves a problem you have. Whatever deficits that code has (due to the fact that you're not a skilled programmer) are offset by the fact that you're the one making the tool (which means your needs aren't lossily filtered through a programmer's understanding of those needs):

https://pluralistic.net/2026/06/15/vernacular/#hypercardian

There's nothing wrong with code that solves your problem, even if you don't know how that code works, even if it breaks in a couple of years, even if no one else could maintain, extend or debug that code. Personal software is fundamentally different from software made to be used and maintained by others:

https://pluralistic.net/2026/07/02/canonization/#operate-iterate-improve

Higher-level abstractions are necessary. Moving tokens between the slits in a CARDiac is a powerful exercise, but eventually you want to do something more substantial than adding one and one, and so you need to package up the mechanics of computing inside a membrane with an easily grasped handle (knowing that you can always open the membrane if need be).

The more automated code you generate – macros, pasted Javascript, Minecraft blocks – the greater the likelihood that you will be failed by a readymade, prefab component. At that point, you have means, motive and opportunity to open the membrane and start tinkering with the internals, and every time you do, you have a better chance of making a realization that improves your grasp on the whole system.

Automated code – whether from an LLM, View Source, Stack Overflow, or a macro recorder – is the top of a funnel. Many – most – of the people who enter the funnel won't slip further down the abstraction chute. They'll solve their problem (a virtue unto itself!) and move on. But the more people we put at the top of the funnel, the more chances our civilization gets to produce another skilled artisan who understands and can improve, iterate and repair the code the rest of us use.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#20yrsago What real elections can learn from reality TV voting https://henryjenkins.org/2006/07/democracy_big_brother_style_1.html

#20yrsago Veteran print journo on neglected demographics http://citmedia.org/blog/2006/07/03/guest-posting-is-media-performance-democracys-critical-issue/

#10yrsago One of the copyright’s scummiest trolls loses his law license https://fightcopyrighttrolls.com/2016/07/03/prendas-hansmeier-stipulates-to-suspension-of-his-law-license/

#10yrsago Macedonia’s Colorful Revolutionaries defy the state by splashing paint on government buildings and monuments https://globalvoices.org/2016/07/03/defying-police-harassment-the-macedonian-colorful-revolutionaries-continue-to-chant-freedom/

#10yrsago Trump and Brexit are like lotto tickets: the more unrealistic, the better https://www.irishtimes.com/news/world/europe/fintan-o-toole-brexit-and-the-politics-of-the-fake-orgasm-1.2707398

#10yrsago Low income US households get $0.08/month in Fed housing subsidy; 0.1%ers get $1,236 https://web.archive.org/web/20160702151008/https://www.thenation.com/article/who-benefits-most-from-housing-subsidies-the-wealthy/

#5yrsago The future is symmetrical https://pluralistic.net/2021/07/03/beautiful-symmetry/#fibrous-growth

#1yrago Trump's not gonna protect workers from forced labor https://pluralistic.net/2025/07/03/states-rights-trumps-wrongs/#mamdani


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

Blog (no ads, tracking, or data-collection):

Pluralistic.net

Newsletter (no ads, tracking, or data-collection):

https://pluralistic.net/plura-list

Mastodon (no ads, tracking, or data-collection):

https://mamot.fr/@pluralistic

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https://bsky.app/profile/doctorow.pluralistic.net

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Tumblr (mass-scale, unrestricted, third-party surveillance and advertising):

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: The difference between "today's task" and "accretive work" (02 Jul 2026)


Today's links



A village revel in a sleepy wood, with many Renaissance peasants having a debauch. In the background is a hulking mainframe computer.

The difference between "today's task" and "accretive work" (permalink)

One thing I've learned about paradoxes: often the answer to the riddle of "how can this one thing have such a contradictory set of features and effects?" is "it's not one thing, it's two things*."

That's the idea that set me on the path to writing about "reverse centaurs" and AI. I was hearing from experienced programmers whom I knew to be reliable narrators of their own experience who described how AI was letting them write the best code of their lives; and from equally experienced and reliable coders who described a nightmare of tech debt: "I work in aviation, and I just don't think anyone should ever fly again, those things are now unsafe at any altitude, thanks to the code I had to sign off on":

https://pluralistic.net/2025/09/11/vulgar-thatcherism/#there-is-an-alternative

For so long as I thought of both of these groups as doing the same thing and getting wildly different outcomes, this was a paradox. But as soon as I realized that the former group were "centaurs" (workers who get to decide and direct their adoption of automation) and the latter were reverse centaurs (workers who were conscripted to serve as peripherals for automation systems), it all snapped into place. It only looked like they were doing the same thing – they were actually engaged in fundamentally different activities, which is why they were having such different experiences.

The same goes for vibe coding. Plenty of people I knew had gotten real value out of vibe coding personal utilities that made things better for them in a way that I instantly recognized from a life spent around people who'd been able to adapt and customize the systems they used to make their lives better:

https://pluralistic.net/2024/01/25/today-in-tabs/#unfucked-rota

Vibe coding can be seen as part of a lineage that includes shell scripting, Applescript, Hypercard and Visual Basic: ways for technical novices to directly create personal software, without having to ask a programmer to interpret their needs (and without having to pay every time they wanted to do something new with their computers):

https://pluralistic.net/2026/06/15/vernacular/#hypercardian

But if that's so, how to make sense of the seeming paradox of all that tech debt? For a tech company, code is a liability, not an asset:

https://pluralistic.net/2026/01/06/1000x-liability/#graceful-failure-modes

AI's pitch to bosses is that they can fire most of their workers in order to terrorize the remainder into tolerating a working life wherein they are made to mark the AI's homework, at superhuman speed, and to assume the blame when it goes wrong. This is obviously a terrible way to write code:

https://pluralistic.net/2024/04/23/maximal-plausibility/#reverse-centaurs

But it's also obviously going to produce terrible code:

https://pluralistic.net/2025/05/27/rancid-vibe-coding/#class-war

So is vibe code a way of empowering people to have the personal, vernacular tools that they design and adapt as they see fit? Or is it a way to shovel technological asbestos into the walls at scale, filling up our high-tech society with ghastly, lethal technical debt we'll be digging our way out of for generations?

Again: the paradox falls away once you realize that personal software you write for yourself is fundamentally different from "production code" that other people have to use, maintain and improve.

In an essay inspired by some thoughts on AI and mathematical theorem proving, Kellan Elliott-McCrea crystallizes this distinction in a really sharp way, bringing in Alex Kontorovich's idea of mathematical "canonization":

By canonization, I mean the process of taking a local, one-off formalization and turning it into library mathematics: general, reusable, coherent, efficient, and compatible with the rest… Canonization often changes the picture itself: the definitions, the abstractions, the API, and sometimes even the statement…

https://laughingmeme.org/2026/06/30/canonization-and-the-overhang.html

Elliott-McCrea posits that making code that is "socially constructed in a way that leaves the team prepared to operate on it, iterate it, and improve it" is the difference between "I got it working" and "something the future can build on."

He's not claiming that "I got it working" is worthless. There's plenty of space for "disposable and single use software." Sure, to a trained software engineer, this might be "bad code" but doing today's task has value, even if the code that performs that task isn't "accretive."

Canonization is accretive. To canonize code is to make it "legible to systems of humans and non-humans operating on it." Free/open source software is the backbone of the canon: "decades of…intelligible, build-on-able work, sitting in public repos."

My "reverse centaurs" thesis isn't just a way to understand how programmers who seem to be doing the same thing can have such different effects. It's also about how the way that the capital was raised for AI requires that it produce as many reverse centaurs as possible, because the only way to recoup the farcical sums associated with AI production is to fire millions of workers and replace them with defective chatbots backstopped by the jobspocalypse's terrorized survivors, who can be made to endlessly toil away at marking the AI's homework because there are so many other workers who'll take their jobs if they refuse.

The point being that while centaurs are good and reverse centaurs are bad, the AI bubble requires the production of reverse centaurs, to the exclusion of centaurs.

In a similar vein, Elliott-McCrea describes how the imperatives of the AI industry are devouring its seed-corn – consuming the canon without putting anything new back in it. In the same way that AI can do endless theorem-proving but is essentially useless for creating "library mathematics: general, reusable, coherent, efficient, and compatible with the rest," AI can write a lot of running code, but the AI industry is further devaluing the already undervalued work of cleanup and canonization. As Elliott-McCrea writes, "the social production of knowledge [is] the seed corn."


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#20yrsago Sen. Stevens’ hilariously awful explanation of the Internet https://web.archive.org/web/20060704034735/http://blog.wired.com/27BStroke6/?entry_id=1512499

#20yrsago Best music of 1900s-1920s as MP3s https://web.archive.org/web/20060703112442/http://www.foldedspace.org/weblog/2006/06/in_the_good_old_summertime.html

#15yrsago “No Endorsement” — aligning the interests of creators and fans https://locusmag.com/feature/cory-doctorow-no-endorsement/

#15yrsago Peruvian TV station owners held out for bribes that were 100X larger than those received by judges https://web.archive.org/web/20110705085927/http://fsi.stanford.edu/publications/how_to_subvert_democracy_montesinos_in_peru/

#10yrsago Paralyzed, partially deaf-blind teen with brain tumor beaten bloody by TSA https://wreg.com/news/disabled-st-jude-patient-sues-airport-and-tsa-after-bloody-scuffle-with-airport-police/

#10yrsago China’s “ultra-unreal” literary movement takes inspiration from breathtaking corruption https://lithub.com/modern-china-is-so-crazy-it-needs-a-new-literary-genre/

#10yrsago London luxury property prices plummet after Brexit vote https://www.standard.co.uk/news/london/london-house-prices-slashed-after-brexit-vote-a3285731.html

#5yrsago Biden admin orders an end to surprise billing https://pluralistic.net/2021/07/02/spoil-the-surprise/#surprise-billing

#1yrago Tessa Hulls's "Feeding Ghosts" https://pluralistic.net/2025/07/02/filial-piety/#great-leap-forward


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.


How to get Pluralistic:

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Pluralistic: Gemini is better than search because Google enshittified search (29 Jun 2026)


Today's links

  • Gemini is better than search because Google enshittified search: We're All Trying To Find The Guy Who Did This.
  • Hey look at this: Delights to delectate.
  • Object permanence: Microsoft antitrust overturned; Scammer carves C64; RIP Jim Baen; GOP rep to constituent's child: "drop dead" (literally); CCTVs jacked for botnet; Olympic profitability lie; Human factors in health infosec; Exfiltration via computer fans; Congress's summer schedule: 9 working days; Antitrust is political antigrav; Ted Chiang's 72 Letters; Microsoft antitrust appeal; Vinge on privacy; Breaking open the web; Bernie on Brexit; "The Perdition Score"; Intuit v Child Tax Credit.
  • Upcoming appearances: London, Edinburgh, Sydney, Melbourne, Brighton, London, South Bend.
  • Recent appearances: Where I've been.
  • Latest books: You keep readin' em, I'll keep writin' 'em.
  • Upcoming books: Like I said, I'll keep writin' 'em.
  • Colophon: All the rest.



The original Google homepage, loaded in the first Netscape browser. It is viewed under a giant magnifying glass. Inside the magnifying glass, we see a killer robot (with the head of the Android droid), choking a man to death.

Gemini is better than search because Google enshittified search (permalink)

Write a critical AI book, and you become everyone's confessor for their AI sins. People in my life keep telling me about their guilty AI pleasures, in search of an explanation, absolution or condemnation:

https://us.macmillan.com/books/9780374621568/thereversecentaursguidetolifeafterai/

Their most common confession: "I only ever use Google's AI-generated search summaries these days. I no longer click those blue links beneath it, not even to verify the summary." People know that the summaries are full of "hallucinations" (that is, "defects" or "errors") but the summaries are right often enough that many people have come to rely on them, to the exclusion of actual websites, made by actual people, on the actual internet.

Everyone knows this isn't good. The reason there's a web for Google's Gemini AI to summarize is that Google – the thrice-convicted monopoly search company with a 90% market share – directs people to websites, and when you visit a website, you generate revenue for the site, which pays for its maintenance. Most commonly, you generate an "ad impression," but you might also buy a subscription, or generate an "affiliate fee" by purchasing a recommended product.

When Google strips all this away by harvesting an "answer" and displaying it at the top of the page, the bargain between Google and the open web breaks down. Google is extracting 100% of the value from the websites it summarizes, and giving nothing back in return.

This is a marked reversal from Google's founding ethos. In the old days, Google measured its success by how little time you spent on its site. The ideal Google outcome was for you to visit its page (or even better, just a search-box in your browser), type a few words, and get "ten blue links" back, the top one of which was the correct link to locate the information or resource you were seeking. The point of Google was to serve as a conduit, a trusted intermediary that neutrally adjudicated the relevance of every web page for every web user from moment to moment.

Everyone dunks on Google for its high-minded motto, "Don't be evil," but over the years, the company's mission was far more important: "Organize the world's information and make it universally accessible and useful." That was the pole star that googlers followed for the first couple decades of the company's history…until, that is, the company saturated its market and its growth stalled out.

That was when Google started to panic over its plateauing search revenue, this being an inescapable consequence of 90%+ market-share. The ensuing power struggle pitted googlers who were committed to technical excellence against the company's most ardent enshittifiers, who pointed out that by making search worse, they could increase revenues. After all, if you need to search two or three times to get the answers to your questions, that means the company can show you two or three times as many ads:

https://pluralistic.net/2024/04/24/naming-names/#prabhakar-raghavan

Where once Google measured its success by how quickly it could send you away from its site and out into the open internet, today's Google is a sticky-trap full of ways to keep you inside its walled garden.

A decade ago, tech had three major approaches:

I. Google's: let you do anything you want, but spy on you while you do it;

II. Apple's: strictly control what you can do, but leave you alone to do it in private; and

III. Facebook's: control everything you do, spy on you from asshole to appetite.

Today, tech is undergoing a form of carcinization, in which every company is turning into a Facebook-crab: maximally surveillant and maximally controlling.

Apple has added surveillance to its walled garden:

https://pluralistic.net/2022/11/14/luxury-surveillance/#liar-liar

While Google has turned its free-range, internet-wide surveillance system into a walled garden that tries to keep you away from the open internet as much as possible.

Now, in Google's defense, the "open internet" kind of sucks these days. Any piece of useful information you seek out on the open internet is liable to be buried under half a dozen pop-ups, pop-unders, and dickovers:

https://daringfireball.net/2026/05/what_is_a_dickover

Even after you clear these away, the actual information you're seeking is further buried in word-salads that anticipated insipid AI prose by half a decade. Think of all those omelet recipes that appear beneath 2,500 words of cod-Proustian remembrances of "the first time I ate an egg."

The major advantage of AI search summaries is in shielding you from all this nonsense. But where did all that nonsense come from in the first place?

It turns out that this is largely Google's fault.

Google and Facebook monopolized the display advertising market, entering into an illegal, collusive arrangement to rig the bidding so that advertisers paid more and publishers received less:

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

The Google/Meta duopoly sucks up 51% of display advertising revenue – more than triple the historic take for advertising intermediaries (buyers, brokers, agencies, etc). As ad revenues for web publishers cratered, the "ad load" on web pages went up. This set up a vicious cycle: increasing the number of ads decreases the number of readers, driving publishers to increase the ad-load even more to make up for the losses.

The major brake on this is ad-blocking. In a world with ad-blockers in it, publishers contemplating an increase in ad-load have to confront the possibility that they will induce ad-overload in their readers, who will install a blocker that stops them from seeing any ads:

https://www.eff.org/deeplinks/2019/07/adblocking-how-about-nah

Google has been looking to kill ad-blocking for a decade, and now they're on the verge of making it happen in Chrome, the dominant web browser they use to reinforce their search monopoly:

https://protonprivacy.substack.com/p/google-is-finally-killing-ublock

Google long ago did away with ad-blocking on mobile devices (reverse engineering an app is a felony, which means an app is just a web-page skinned with the right kind of IP to make it a crime to protect your privacy while you use it). Part of Google's argument for killing ad-blocking for the web is that this puts the web on an even footing with apps – which is a very weird way to describe a race to the absolute bottom:

https://pluralistic.net/2026/06/12/compelled-speech/#quishing

To top it all off, this decade has seen Google make a series of changes to its search prioritization that favored low-value shovelware sites over carefully researched, reliable alternatives. Search for product reviews and you're apt to get a "site reputation abuse" result from a once-reliable outlet like Forbes filled with useless and even dangerous reviews, which are ranked far above independently maintained, rigorous competitors:

https://pluralistic.net/2024/05/03/keyword-swarming/#site-reputation-abuse

This has only gotten worse with AI search, which preferentially draws from spam sites to produce decontextualized, highly confident recommendations for substandard, overpriced junk, at the expense of recommendations for good products:

https://pluralistic.net/2025/07/15/inhuman-gigapede/#coprophagic-ai

It's not like Google doesn't have the ability to sort the good from the bad. Kagi.com is a $10/month paid search engine whose results are vastly superior to Google's. But Kagi doesn't have its own search index: instead, they rent access to Google's index, but apply their own (much smaller and less resourced) team's algorithm to rank the results for your queries. In other words, Google could deliver good search results, they just choose not to:

https://pluralistic.net/2024/04/04/teach-me-how-to-shruggie/#kagi

Gresham's Law holds that "bad money drives out good." It refers to a counterfeit coin crisis in Tudor England, where people preferentially spent counterfeit money in order to make it someone else's problem; meanwhile, everyone hoarded their good coins. Soon, virtually all the money in circulation was bogus.

By downranking quality material in favor of low-effort spam, Google set up a web-wide version of Gresham's Law, where bad webpages drive out good ones, and since so many of those webpages contain product recommendations, they're greshaming the world of real products, too, so the bad is driving out the good there, too.

This is the problem that Gemini search summaries solve: in its role as the web's most important gatekeeper, Google remade it as an ad-festooned cesspit of garbage text and cynical shovelware sites. Now Google proposes to wipe out the publishers whose content they stripmined by breaking the web's bargain: that search engines are symbiotic with publishers. Google has turned fully parasitic, sucking the last drops of juice out of the open web before discarding its husk.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Appeals court strikes down Microsoft antitrust ruling https://www.nytimes.com/2001/06/28/business/us-appeals-court-overturns-microsoft-antitrust-ruling.html

#25yrsago Ted Chiang's 72 Letters https://web.archive.org/web/20010720192340/http://www.tor.com/72ltrs.html

#25yrsago Concept handheld devices https://web.archive.org/web/20010620115437/https://www.infosync.no/en/news/n/419.asp

#25yrsago Analyzing Microsoft's successful antitrust appeal https://web.archive.org/web/20010703085656/https://www.salon.com/tech/feature/2001/06/28/appeals_reaction/index.html

#20yrsago Bengali science fiction of the 1880s https://www.lehigh.edu/~amsp/2006/05/early-bengali-science-fiction.html

#20yrsago Vernor Vinge on computers, freedom and privacy https://www.theguardian.com/technology/2006/jun/29/guardianweeklytechnologysection5

#20yrsago Scammer convinced to carve replica Commodore 64 https://www.419eater.com/html/john_boko.php

#20yrsago Jim Baen, sf publisher, has passed away https://web.archive.org/web/20060703024337/http://david-drake.com/baen.html

#15yrsago YouTube listens to fraudulent NyanCat takedown notice, drags heels on put-back from creator https://web.archive.org/web/20110628132607/http://www.prguitarman.com/index.php?id=369

#15yrsago Wyoming’s corporation mills manufacture privileged artificial “people” to order https://www.reuters.com/article/2011/06/28/us-usa-shell-companies-idUSTRE75R20Z20110628/

#15yrsago Publishing in the Internet era: connecting audiences and works https://www.theguardian.com/technology/2011/jun/30/publishers-internet-changing-role?utm_source=twitterfeed&utm_medium=twitter

#15yrsago Why writers should have their own domains https://whatever.scalzi.com/2011/06/29/mastering-ones-own-domain-an-no-this-is-not-a-seinfeld-reference/

#15yrsago Copyright troll’s biggest fan commits terminal irony https://www.eff.org/deeplinks/2011/06/righthaven-cheerleader-wanted-irony-police

#10yrsago Mississippi state rep tells distraught mom to buy kid’s lifesaving meds ‘with money she earns’ https://www.sunherald.com/news/local/counties/jackson-county/article86416087.html

#10yrsago Always-on CCTVs with no effective security harnessed into massive, unstoppable botnet https://arstechnica.com/information-technology/2016/06/large-botnet-of-cctv-devices-knock-the-snot-out-of-jewelry-website/

#10yrsago Gun-waving cop who attacked black teenaged girl in her bathing suit faces no charges https://web.archive.org/web/20160624103549/http://dfw.cbslocal.com/2016/06/23/grand-jury-no-bills-former-mckinney-pool-party-cop/

#10yrsago The Olympics are profitable for every host city (that lies about the numbers) https://timharford.com/2016/06/how-do-you-make-the-olympics-pay-fudge-the-figures/

#10yrsago Healthcare workers prioritize helping people over information security (disaster ensues) https://www.cs.dartmouth.edu/~sws/pubs/ksbk15-draft.pdf

#10yrsago Fansmitter: malware that exfiltrates data from airgapped computers by varying the sound of their fans https://www.youtube.com/watch?v=3GCHCVpndaM

#10yrsago Labour’s knives come out for Corbyn, but he’s guaranteed a spot on the ballot https://www.politico.eu/article/inside-account-of-labour-mps-attacks-on-jeremy-corbyn-shadow-cabinet-resignations-brexit/

#10yrsago Hope Larson’s “Compass South”: swashbuckling YA graphic novel https://memex.craphound.com/2016/06/28/hope-larsons-compass-south-swashbuckling-ya-graphic-novel/

#10yrsago How to Break Open the Web: a report on the first Decentralized Web Summit https://www.fastcompany.com/3061357/the-web-decentralized-distributed-open

#10yrsago Californians will get to vote on legal recreational weed https://web.archive.org/web/20160629130245/http://abcnews.go.com/US/wireStory/voters-decide-legalize-recreational-marijuana-40206739

#10yrsago Bernie Sanders on Brexit: urgent lessons for the Democrats https://www.nytimes.com/2016/06/29/opinion/campaign-stops/bernie-sanders-democrats-need-to-wake-up.html

#10yrsago Electoral fraud: Trump sends fundraiser emails to foreign politicians https://www.cnet.com/culture/trump-spams-foreign-politicians-with-fundraising-emails/#ftag=CAD590a51e

#10yrsago The Perdition Score: Sandman Slim vs the One Percent https://memex.craphound.com/2016/06/29/the-perdition-score-sandman-slim-vs-the-one-percent/

#5yrsago Intuit sabotages the Child Tax Credit https://pluralistic.net/2021/06/29/three-times-is-enemy-action/#ctc

#5yrsago SCOTUS to wrongfully accused terrorists: "drop dead" https://pluralistic.net/2021/06/29/three-times-is-enemy-action/#transunion

#5yrsago Lazy Congress only schedules 9 days' work this summer https://pluralistic.net/2021/06/28/dubious-quant-residue/#back-to-work-you

#1yrago Antitrust defies politics' law of gravity https://pluralistic.net/2025/06/28/mamdani/#trustbusting


Upcoming appearances (permalink)

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A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING

This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

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On Envy, "Cope", and just plain Reality in Audiophilia. More GR-Research/Danny Richie drama.

After writing the articles looking at room acoustics over the last month, I thought this would be a good time to discuss another observation about the psychology and culture of the audiophile hobby and some of the claims that people make.As I noted last time, room treatments like the IKEA Mittzon absorption panels are far from the exciting products highlighted in magazines each month or even

Small Room Acoustics: Example of impact with (ultra) high-end speakers in Stereophile. (On AI audio writers, and Asia vacation pictures. 😊)

Last time, we discussed small room acoustics and audiophile listening rooms. In that article, I used an idealized loudspeaker with flat frequency response from 40Hz up. As I'm still traveling, away from my gear, I figured for this article, let's look around published data in audio articles to examine room effects and consider what this means.One widely available and consistent source of objective

Audiophile Potpourri: December 2025 web traffic among audio sites, price of cables poll, and flashback 2014 while looking ahead.

Let's have some fun this week on miscellaneous topics.Occasionally, I'll highlight items I've either written or found on audio discussion forums I think would be good to share. One reason I decided to start doing a blog beyond just contributing to forum discussions was precisely because while the public forums are great for interactions with community members, meaningful posts often become

On using AI/ChatGPT analysis to convince consumers about audio snake oil? GR-Research UberBUSS anyone?!

These days we have AI making hit music, and AI actors coming soon. The AI industry is "hot" and impressive, seemingly the answer to all kinds of queries we may have right at our keyboards! I think it's absolutely true that with the advent of LLM's and multi-modal deep learning models, we have even more ability now to learn, analyze, and summarize all kinds of information unheard of just

Is AI Art Real Art?

19 April 2022 at 16:48

Millions of images generated with code have fueled the engine of a new economy. But modern art has been associated with a lot of shenanigans over the years — is AI art the dawn of a new era, or the art world’s latest prank?

an image generated by Midjourney, from a prompt written by the author, about turning computers into moss, 2023

Generative Art uses techniques from Machine Learning and Machine Vision to generate images. And it has produced a lot of headlines around the subject of what is and isn’t real art.

To me, the answer is clear: AI-generated art is art. Of course, it is. It follows a recipe and has inputs and outputs. Developing the recipe is art, and using the recipe to bring something new into the world is also art. They’re both art. Why is this controversial?

I imagine it’s because, when most people think of art, they’re picturing the little reproductions of famous paintings like you find on mugs– water lilies, sunflowers, the Mona Lisa. They’re remembering works they’ve seen as school children, on slideshows and in textbooks. Most people know far less about “modern art,” and the word has become a synonym for abrasive, nonsensical, ugly, or for some other reason, unlovable.

But you can draw a line from today’s generative art straight back to the very beginning of modern art: Marcel Duchamp. You may know him as “the guy who put a urinal in a gallery and called it art.” That is correct. He forced new ways of looking at the objects that are all around us– shovels, math textbooks, bicycle wheels, chimney ventilators– which he termed “ready-mades.”

In the early part of the twentieth century, many of these prefabricated items were new enough to feel unfamiliar and strange. At the same time, they were quickly becoming so ubiquitous as to be all but invisible.

Duchamp’s ready-made pieces brought these objects to view in a new way, and caused audiences to ask new questions, such as: Is this even art? What am I looking at? What did the artist actually do here? What is “a work of art” anyway? And should we not maybe restrict the definition a bit?

an image generated by Midjourney, prompt by the author around turning computers into moss, 2023

Artists have been probing these same questions for at least a century now. The consensus seems to be: we should not restrict the definition of art; we should expand it. Art doesn’t even need to have a physical form — it can be completely immaterial. What matters is the decisions the artist makes, how the public interacts with it, and what it means to the community and culture from which it springs.

In AI-generated art, it might seem like the computer is making all the decisions. It may be that the artist doesn’t understand everything the algorithm is doing. (The developers who coded it probably wouldn’t say they understand everything that happens inside these processes.) But nothing at all will happen without an input from someone. That’s the point where you’ll find the art– when a person calculates how to weight their ML models, or makes decisions about training data, or makes any other choices about how to initiate the process.

Some object that tools available to make this kind of work seem “to do all the work.” Their output is difficult to predict, and they seem to have minds of their own. Before an artist can make interesting decisions with such a tool, they’d have to spend years studying and gaining proficiency in a whole new technology. Critics, curators, and the art-going public, in general, would have to develop new ways of interacting with the work, and new criteria to look for in it. A new art form will form new art. When has it been any different?

To see more generative ‘art’ you can check out my portfolio at https://studioamelia.com or in the metaverse at https:/oncyber.io/studioamelia


Is AI Art Real Art? was originally published in OneZero on Medium, where people are continuing the conversation by highlighting and responding to this story.

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