13.12.2025 à 17:14
Cory Doctorow
Look, I'm not trying to say that new technologies never raise gnarly new legal questions, but what I am saying is that a lot of the time, the "new legal challenges" raised by technology are somewhere between 95-100% bullshit, ginned up by none-too-bright tech bros and their investors, and then swallowed by regulators and lawmakers who are either so credulous they'd lose a game of peek-a-boo, or (likely) in on the scam.
Take "fintech." As Trashfuture's Riley Quinn is fond of saying, "when you hear 'fintech,' think 'unregulated bank'":
https://pluralistic.net/2022/03/02/shadow-banking-2-point-oh/#leverage
I mean, the whole history of banking is: "Bankers think of a way to do reckless things that are wildly profitable (in the short term) and catastrophic (in the long term). They offer bribes and other corrupt incentives to their watchdogs to let them violate the rules, which leads to utter disaster." From the 19th century "panics" to the crash of '29 to the S&L collapse to the 2008 Great Financial Crisis and beyond, this just keeps happening.
Much of the time, the bankers involved have some tissue-thin explanation for why what they're doing isn't really a violation of the rules. Think of the lenders who, in the runup to the Great Financial Crisis, insisted that they weren't engaged in risky lending because they had a fancy equation that proved that the mortgage-backed securities they were issuing were all sound, and it was literally impossible that they'd all default at once.
The fact that regulators were bamboozled by this is enraging. In hindsight (and for many of us at least, at the time), it's obvious that the bankers went to their watchdogs and said, "We'd like to break the law," and the watchdogs said, "Sure, but would you mind coming up with some excuse that I can repeat later when someone asks me why I let you do this crime?"
It's like in the old days of medical marijuana, where you'd get on a call with a dial-a-doc and say, "Please can I have some weed?" and the doc would say, "Tell me about your headaches," and you'd say, "Uh, I have headaches?" and they'd say "Great, here's your weed!"
The alternative is that these regulators are so bafflingly stupid that they can't be trusted to dress themselves. "My stablecoin is a fit financial instrument to integrate into the financial system" is as credible a wheeze as some crypto bro walking up to Cory Booker, flashing a homemade badge, and snapping out, "Federal Wallet Inspector, hand it over."
I mean, at that point, I kind of hope they're corrupt, because the alternative is that they are basically a brainstem and a couple of eyestalks in a suit.
What I'm saying is, "We just can't figure out if crypto is violating finance laws" is a statement that can only be attributed to someone very stupid, or in on the game.
Speaking of "someone very stupid, or in on the game," Congress just killed a rule that would have guaranteed that the US military could repair its own materiel:
Military right to repair is the most brainless of all possible no-brainers. When a generator breaks down in the field – even in an active war-zone – the US military has to ship it back to America to be serviced by the manufacturer. That's not because you can't train a Marine to fix a generator – it's because the contractual and technical restrictions that military contractors insist on ban the military from fixing its stuff:
https://www.pogo.org/fact-sheets/fact-sheet-the-right-to-repair-for-the-united-states-military
This violates a very old principle in sound military administration. Abraham Lincoln insisted that the contractors who supplied the Union army had to use standardized tooling and ammo, because it would be very embarrassing for the Commander-in-Chief to have to stand on the field at Gettysburg with a megaphone and shout, "Sorry boys, war's canceled this week, our sole supplier's gone on vacation."
And yet, after mergers of large military contractors resulted in just a handful of "primary" companies serving the Pentagon, private equity vampires snapped up all the subcontractors who were sole-source suppliers of parts to those giants. They slashed the prices of those parts so that the primary contractors used as many as possible in the materiel they provided to the US DoD, and then raised the prices of replacement parts, some with 10,000% margins, which the Pentagon now has to pay for so long as they own those jets and other big-ticket items:
https://pluralistic.net/2021/01/29/fractal-bullshit/#dayenu
This isn't a complicated scam. It's super straightforward, and the right to repair rule that Congress killed addressed it head on. But Congressional enemies of this bill insisted that it would have untold "unintended consequences" and instead passed a complex rule, riddled with loopholes, because there was something unique and subtle about the blunt issue of price-gouging:
Either these lawmakers are so stupid that they fell for the ole "Federal Wallet Inspector" gambit, or they're in on the game. I know which explanation my money is on.
Maybe this has already occurred to you, but lately I've come to realize that there's another dimension to this, a way in which critics of tech help this gambit along. After all, it's pretty common for tech critics to preface their critiques with words to the effect of, "Of course, this technology has raced ahead of regulators to keep pace with it. Those dastardly tech-bros have slipped the net once again!"
The unspoken (and sometimes very loudly spoken) corollary of this is, "Only a tech-critic as perspicacious and forward looking as me is capable of matching wits with those slippery tech-bros, and I have formulated a sui generis policy prescription that can head them off at the pace."
Take the problem of deepfakes, including deepfake porn. There's a pretty straightforward policy response to this: a privacy law that allows you to prevent the abuse of your private information (including to create deepfakes) that unlawfully process your personal information for an illegitimate purpose. To make sure that this law can be enforced, include a "private right of action," which means that individual can sue to enforce it (and activist orgs and no-win/no-fee lawyers can sue on their behalf). That way, you can get justice even if the state Attorney General or the federal Department of Justice decides not to take your case.
Privacy law is a great idea. It can navigate nuances, like the fact that privacy is collective, not individual – for example, it can intervene when your family members give their (your) DNA to a scam like 23andme, or when a friend posts photos of you online:
https://jacobin.com/2021/05/cory-doctorow-interview-bill-gates-intellectual-property
But privacy law gets a bad rap. In the EU, they've had the GDPR – a big, muscular privacy law – for nine years, and all it's really done is drown the continent in cookie-consent pop-ups. But that's not because the GDPR is flawed, it's because Ireland is a tax-haven that has lured in the world's worst corporate privacy-violators, and to keep them from moving to another tax haven (like Malta or Cyprus or Luxembourg), it has to turn itself into a crime-haven. So for the entire life of the GDPR, all the important privacy cases in Europe have gone to Ireland, and died there:
https://pluralistic.net/2025/12/01/erin-go-blagged/#big-tech-omerta
Now, again, this isn't a complicated technical question that is hard to resolve through regulation. It's just boring old corruption. I'm not saying that corruption is easy to solve, but I am saying that it's not complicated. Irish politicians made the country's economy dependent on the Irish state facilitating criminal activity by American firms. The EU doesn't want to provoke a constitutional crisis by forcing Ireland (and the EU's other crime-havens) to halt this behavior.
That's a hard thing to do! It's just not a complicated thing to do. The routine violations of EU privacy law by American tech companies isn't the result of "tech racing ahead of the law." It's just corruption. You can't fix corruption by passing more laws; they'll just be corruptly enforced, too.
But thanks to a mix of bad incentives – politicians wanting to be seen to do something without actually upsetting the apple-cart; AI critics wanting to inflate their importance by claiming that they're fighting something novel and complex, as opposed to something that's merely boring and hard – we get policy proposals that will likely worsen the problem.
Take Denmark's decision to fight deepfakes by creating a new copyright over your likeness:
Copyright – a property right – is an incredibly bad way to deal with human rights like privacy. For one thing, it makes privacy into a luxury good that only the wealthy can afford (remember, a discount for clicking through a waiver of your privacy right is the same thing as an extra charge for not waiving your privacy rights). For another, property rights are very poorly suited to managing things that have joint ownership, such as private information. As soon as you turn private information into private property, you have to answer questions like, "Which twin owns the right to their face" and "Who owns the right to the fact that your abusive mother is your mother – you, or her? And if it's her, does she get to stop you from publishing a memoir about the abuse?"
Copyright – a state-backed transferable monopoly over expression – is really hard to get right. Legislatures and courts have struggled to balance free expression and copyright for centuries, and there's a complex web of "limitations and exceptions" to copyright. Privacy is also incredibly complex, and has its own limitations and exceptions, and they are very different from copyright's limits. I mean, they have to be: privacy rules defend your human right to a personal zone of autonomy; copyright is intended to create economic incentives to produce new creative works. It would be very weird if the same rules served both ends.
I can't believe that Denmark's legislators failed to consider privacy as the solution to deepfakes. If they did, they are very, very stupid. Rather, they decided that fighting the corruption that keeps privacy law from being enforced in the EU was too hard, so they just did something performative, creating a raft of new problems, without solving the old one.
Here in the USA, there's lots of lawmakers who are falling into this trap. Take the response to chatbots that give harmful advice to children and teens. The answer that many American politicians (as well as lawmakers abroad, in Australia, Canada, the UK and elsewhere) have come up with is to force AI companies to identify who is and is not a child and treat them differently.
This boils down to a requirement for AI companies to collect much more information on their users (to establish their age), which means that all the AI harms that stem from privacy violations (AI algorithms that steal wages, hike prices, discriminate in hiring and lending and policing, etc) are now even harder to stop.
A simple alternative to this would be updating privacy law to limit how AI companies can gather and use everyone's data – which would mean that you could protect kids from privacy invasions without (paradoxically) requiring them (and you) to disclose all kinds of private information to determine how old they are.
The insistence – by AI critics and AI boosters – that AI is so different from other technologies that you can't address it by limiting the collection, retention and processing of private information is a way in which AI critics and AI hucksters end up colluding to promote a view of AI as an exceptional technology. It's not. AI is a normal technology:
https://www.aisnakeoil.com/p/ai-as-normal-technology
Sometimes this argument descends into grimly hilarious parody. Argue for limits on AI companies' collection, retention and processing of private information and AI boosters will tell you that this would require so much labor-intensive discernment about training data that it would make it impossible to continue training AI until it becomes intelligent enough to solve all our problems. But also, when you press they issue, they'll sometimes say that AI is already so "intelligent" that it can derive (that is, guess) private information about you without needing your data, so a new privacy law won't help.
In other words, applying privacy limitations to AI means we'll never get a "superintelligence,"; and also, we already have a superintelligence so there's no point in applying privacy limitations to AI.
It's true that technology can give rise to novel regulatory challenges, but it's also true that claiming that a technology is so novel that existing regulation can't resolve its problems is just a way of buying time to commit more crimes before the regulators finally realize that your flashy new technology is just a boring old scam.

clbre is a fork of calibre with the aim of stripping out the AI integration https://github.com/grimthorpe/clbre
EU Report Distills AI-Training Lessons from Napster Piracy Era: Don’t Sue, License https://torrentfreak.com/eu-report-distills-ai-training-lessons-from-napster-piracy-era-dont-sue-license/
Rebuilding Imaginary Futures: Il Versificatore, 2025 https://bruces.medium.com/rebuilding-imaginary-futures-il-versificatore-2025-3178a12be2aa
John Varley, 1947-2025 https://floggingbabel.blogspot.com/2025/12/john-varley-1947-2025.html
#20yrsago Americans smile, Brits grimace? https://www.nytimes.com/2005/12/11/magazine/national-smiles.html
#20yrsago HOWTO make a soda-can Van de Graaf https://scitoys.com/scitoys/scitoys/electro/electro6.html
#20yrsago Credit-card-sized USB drive https://web.archive.org/web/20051214084824/http://walletex.com/
#20yrsago Homeland Security: Mini-golf courses are terrorist targets https://web.archive.org/web/20060215153821/https://www.kron.com/Global/story.asp?S=4226663
#20yrsago Amazon rents access to a copy of the Web https://battellemedia.com/archives/2005/12/alexa_make_that_amazon_looks_to_change_the_game
#15yrsago Pornoscanners trivially defeated by pancake-shaped explosives https://web.archive.org/web/20101225211840/http://springerlink.com/content/g6620thk08679160/fulltext.pdf
#10yrsago HO fhtagn! Detailed model railroad layout recreates HP Lovecraft’s Arkham https://web.archive.org/web/20131127042302/http://www.ottgallery.com/MRR.html
#10yrsago Suicide rates are highest in spring — not around Christmas https://www.theatlantic.com/health/archive/2015/12/no-suicides-dont-rise-during-the-holidays/419436/
#10yrsago Airbnb hosts consistently discriminate against black people https://www.benedelman.org/publications/airbnb-011014.pdf
#10yrsago What will it take to get MIT to stand up for its own students and researchers? https://www.youtube.com/watch?v=cQdl_JdTars
#10yrsago Experts baffled to learn that 2 years olds are being prescribed psychiatric drugs https://www.nytimes.com/2015/12/11/us/psychiatric-drugs-are-being-prescribed-to-infants.html?_r=0
#10yrsago Happy Birthday’s copyright status is finally, mysteriously settled https://www.nytimes.com/2015/12/10/business/media/happy-birthday-copyright-case-reaches-a-settlement.html?_r=0
#10yrsago Proposal: keep the nuclear launch codes in an innocent volunteer’s chest-cavity https://blog.nuclearsecrecy.com/2012/09/19/the-heart-of-deterrence/
#10yrsago Obama promises statement on encryption before Xmas (maybe) https://web.archive.org/web/20151211042128/https://www.dailydot.com/politics/white-house-encryption-policy-response-petition/
#10yrsago Harlem Cryptoparty: Crypto matters for #blacklivesmatter https://web.archive.org/web/20151218183924/https://motherboard.vice.com/read/the-black-community-needs-encryption
#10yrsago Backslash: a toolkit for protesters facing hyper-militarized, surveillance-heavy police https://arstechnica.com/tech-policy/2015/12/backslash-anti-surveillance-gadgets-for-protesters/
#10yrsago Ted Cruz campaign hires dirty data-miners who slurped up millions of Facebook users’ data https://www.theguardian.com/us-news/2015/dec/11/senator-ted-cruz-president-campaign-facebook-user-data
#10yrsago The Tor Project has a new executive director: former EFF director Shari Steele! https://blog.torproject.org/greetings-tors-new-executive-director/
#10yrsago What I told the kid who wanted to join the NSA https://www.theguardian.com/us-news/2015/dec/11/west-point-cybersecurity-nsa-privacy-edward-snowden
#10yrsago Copyfraud: Disney’s bogus complaint over toy photo gets a fan kicked off Facebook https://arstechnica.com/tech-policy/2015/12/disney-initially-drops-then-doubles-down-on-dmca-claim-over-star-wars-figure-pic/
#15yrsago Sales pitch from an ATM-skimmer vendor https://krebsonsecurity.com/2010/12/why-gsm-based-atm-skimmers-rule/
#15yrsago Boardgame Remix Kit makes inspired new games out of old Monopoly, Clue, Trivial Pursuit and Scrabble sets https://web.archive.org/web/20101214210548/http://www.boardgame-remix-kit.com/sample/boardgame-remix-kit-sample.pdf
#10yrsago Britons will need copyright licenses to post photos of their own furniture https://arstechnica.com/tech-policy/2015/12/you-may-soon-need-a-licence-to-take-photos-of-that-classic-designer-chair-you-bought/
#5yrsago Outgoing Facebookers blast the company https://pluralistic.net/2020/12/12/fairy-use-tale/#badge-posts
#5yrsago Carbon offsets are bullshit https://pluralistic.net/2020/12/12/fairy-use-tale/#greenwashing
#5yrsago Youtube, fair use, competition, and the death of the artist https://pluralistic.net/2020/12/12/fairy-use-tale/#content-id
#5yrsago A lethally boring story https://pluralistic.net/2020/12/11/number-eight/#erisa
#5yrsago Daddy Daughter Xmas Podcast 2020 https://pluralistic.net/2020/12/11/number-eight/#youll-go-down-in-mystery
#5yrsago Antitrust and Facebook's paid disinformation https://pluralistic.net/2020/12/11/number-eight/#curse-of-bigness
#1yrago The housing emergency and the second Trump term https://pluralistic.net/2024/12/11/nimby-yimby-fimby/#home-team-advantage
#1yrago A Democratic media strategy to save journalism and the nation https://pluralistic.net/2024/12/12/the-view-from-somewhere/#abolish-rogan

Denver: Enshittification at Tattered Cover Colfax, Jan 22
https://www.eventbrite.com/e/cory-doctorow-live-at-tattered-cover-colfax-tickets-1976644174937
Colorado Springs: Guest of Honor at COSine, Jan 23-25
https://www.firstfridayfandom.org/cosine/
Enshittification on The Daily Show
https://www.youtube.com/watch?v=d2e-c9SF5nE
Enshittification with Four Ways to Change the World (Channel 4)
https://www.youtube.com/watch?v=tZQaEeuuI3Q
The Plan is to Make the Internet Worse. Forever. (Novarra Media)
https://www.youtube.com/watch?v=7wE8G-d7SnY
Enshittification (Future Knowledge)
https://futureknowledge.transistor.fm/episodes/enshittification
"Enshittification: Why Everything Suddenly Got Worse and What to Do About It," Farrar, Straus, Giroux, October 7 2025
https://us.macmillan.com/books/9780374619329/enshittification/
"Picks and Shovels": a sequel to "Red Team Blues," about the heroic era of the PC, Tor Books (US), Head of Zeus (UK), February 2025 (https://us.macmillan.com/books/9781250865908/picksandshovels).
"The Bezzle": a sequel to "Red Team Blues," about prison-tech and other grifts, Tor Books (US), Head of Zeus (UK), February 2024 (thebezzle.org).
"The Lost Cause:" a solarpunk novel of hope in the climate emergency, Tor Books (US), Head of Zeus (UK), November 2023 (http://lost-cause.org).
"The Internet Con": A nonfiction book about interoperability and Big Tech (Verso) September 2023 (http://seizethemeansofcomputation.org). Signed copies at Book Soup (https://www.booksoup.com/book/9781804291245).
"Red Team Blues": "A grabby, compulsive thriller that will leave you knowing more about how the world works than you did before." Tor Books http://redteamblues.com.
"Chokepoint Capitalism: How to Beat Big Tech, Tame Big Content, and Get Artists Paid, with Rebecca Giblin", on how to unrig the markets for creative labor, Beacon Press/Scribe 2022 https://chokepointcapitalism.com
"Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2026
"The Memex Method," Farrar, Straus, Giroux, 2026
"The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
Today's top sources:
Currently writing:
"The Post-American Internet," a short book about internet policy in the age of Trumpism. PLANNING.
A Little Brother short story about DIY insulin PLANNING

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ISSN: 3066-764X
11.12.2025 à 17:13
Cory Doctorow
There's a whole greedflation-denial cottage industry that insists that rising prices are either the result of unknowable, untameable and mysterious economic forces, or they're the result of workers having too much money and too many jobs.
The one thing we're absolutely not allowed to talk about is the fact that CEOs keep going on earnings calls to announce that they are hiking prices way ahead of any increase in their costs, and blaming inflation:
https://pluralistic.net/2021/11/20/quiet-part-out-loud/#profiteering
Nor are we supposed to notice the "price consultancies" that let the dominant firms in many sectors – from potatoes to meat to rental housing – fix prices in illegal collusive arrangements that are figleafed by the tissue-thin excuse that "if you use an app to fix prices, it's not a crime":
https://pluralistic.net/2025/01/25/potatotrac/#carbo-loading
And we're especially not supposed to notice the proliferation of "personalized pricing" businesses that use surveillance data to figure out how desperate you are and charge you a premium based on that desperation:
https://pluralistic.net/2024/06/05/your-price-named/#privacy-first-again
Surveillance pricing – when you are charged more for the same goods than someone else, based on surveillance data about the urgency of your need and the cash in your bank account – is a way for companies to reach into your pocket and devalue the dollars in your wallet. After all, if you pay $2 for something that I pay $1 for, that's just the company saying that your dollars are only worth half as much as mine:
https://pluralistic.net/2025/06/24/price-discrimination/
It's a form of cod-Marxism: "from each according to their desperation":
https://pluralistic.net/2025/01/11/socialism-for-the-wealthy/#rugged-individualism-for-the-poor
The economy is riddled with surveillance pricing gouging. You are almost certainly paying more than your neighbors for various items, based on algorithmic price-setting, every day. Case in point: More Perfect Union and Groundwork Collaborative teamed up with Consumer Reports to recruit 437 volunteers from across America to login to Instacart at the same time and buy the same items from 15 stores, and found evidence of surveillance pricing at Albertsons, Costco, Kroger, and Sprouts Farmers Market:
https://groundworkcollaborative.org/work/instacart/
The price-swings are wild. Some test subjects are being charged 23% more than others. The average variance for "the exact same items, from the exact same locations, at the exact same time" comes out to 7%, or "$1,200 per year for groceries" for a family of four.
The process by which your greedflation premium is assigned is opaque. The researchers found that Instacart shoppers ordering from Target clustered into seven groups, but it's not clear how Instacart decides how much extra to charge any given shopper.
Instacart – who acquired Eversight, a surveillance pricing company, in 2022 – blamed the merchants (who, in turn, blamed Instacart). Instacart also claimed that they didn't use surveillance data to price goods, but hedged, admitting that the consumer packaged goods duopoly of Unilever and Procter & Gamble do use surveillance data in connection with their pricing strategies.
Finally, Instacart claimed that this was all an "experiment" to "learn what matters most to consumers and how to keep essential items affordable." In other words, they were secretly charging you more (for things like eggs and bread) because somehow that lets them "keep essential items affordable."
Instacart said their goal was to help "retail partners understand consumer preferences and identify categories where they should invest in lower prices."
Anyone who's done online analytics can easily pierce this obfuscation, but for those of you who haven't had the misfortune of directing an iterated, A/B tested optimization effort, I'll unpack this statement.
Say you have a pool of users and a bunch of variations on a headline. You randomly assign different variants to different users and measure clickthroughs. Then you check to see which variants performed best, and dig into the data you have on those users to see if there are any correlations that tie together users who liked a given approach.
This might let you discover that, say, women over 40 click more often on headlines that mention kittens. Then you generate more variations based on these conclusions – different ways of mentioning kittens – and see which of these variations perform best, and whether the targeted group of users split into smaller subgroups (women over 40 in the midwest prefer "tabby kitten" while their southern sisters prefer "kitten" without a mention of breed).
By repeatedly iterating over these steps, you can come up with many highly refined variants, and you can use surveillance data to target them to ever narrower, more optimized slices of your user-base.
Obviously, this is very labor intensive. You have to do a lot of tedious analysis, and generate a lot of variants. This is one of the reasons that slopvertising is so exciting to the worst people on earth: they imagine that they can use AI to create a self-licking ice-cream cone, performing the analysis and generating endless new variations, all untouched by human hands.
But when it comes to prices, it's much easier to produce variants – all you're doing is adding or subtracting from the price you show to shoppers. You don't need to get the writing team together to come up with new ways of mentioning kittens in a headline – you can just raise the price from $6.23 to $6.45 and see if midwestern women over 40 balk or add the item to their shopping baskets.
And here's the kicker: you don't need to select by gender, racial or economic criteria to end up with a super-racist and exploitative arrangement. That's because race, gender and socioeconomic status have broad correlates that are easily discoverable through automated means.
For example, thanks to generations of redlining, discriminatory housing policy, wage discrimination and environmental racism, the poorest, sickest neighborhoods in the country are also the most racialized and are also most likely to be "food deserts" where you can't just go to the grocery store and shop for your family.
What's more, the private equity-backed dollar store duopoly have waged a decades-long war on community grocery stores, enveloping them with dollar stores that use their access to preferential discounts (from companies like Unilever and Procter & Gamble, another duopoly) to force grocers out of business:
https://pluralistic.net/2023/03/27/walmarts-jackals/#cheater-sizes
Then these dollar stores run a greedflation scam that is so primitive, it's almost laughable: they just charge customers much higher amounts than the prices shown on the shelves and price-tags:
https://www.consumeraffairs.com/news/do-all-those-low-dollar-store-prices-really-add-up-120325.html
When you live in a food desert where your only store is a Dollar General that defrauds you at the cash-register, you are more likely to accept a higher price from Instacart, because you have fewer choices than someone in a middle-class neighborhood with two or three competing grocers. And the people who live in those food deserts are more likely to be poor, which, in America, is an excellent predictor of whether they are Black or brown.
Which is to say, without ever saying, "Charge Black people more for groceries," Instacart can easily A/B split its way into a system where they predictably and reliably charge Black people more for groceries. That's the old cod-Marxism at work: "from each according to their desperation."
This is so well-understood that anyone who sets one of these systems in motion should be understood to be deliberately seeking to do racist profiteering under cover of an algorithm. It's empiricism-washing: "I'm not racist, I just did some math" (that produced a predictably racist outcome):
This is the dark side and true meaning of "business optimization." The optimal business pays its suppliers and workers nothing, and charges its customers everything it can. Obviously, businesses need to settle for suboptimal outcomes, because workers won't show up if they don't get paid, and customers won't buy things that cost everything they have⹋.
⹋ Unless, of course, you are an academic publisher, in which case this is just how you do business.
A business "optimizes" its workforce by finding ways to get them to accept lower wages. For example, they can bind their workers with noncompete "agreements" that ban Wendy's cashiers from quitting their job and making $0.25 more per hour at the McDonald's next door (one in 18 American workers have been locked into one of these contracts):
https://pluralistic.net/2025/09/09/germanium-valley/#i-cant-quit-you
Or they can lock their workers in with "training repayment agreement provisions" (TRAPs) – contractual clauses that force workers to pay their bosses thousands of dollars if they quit or get fired:
https://pluralistic.net/2022/08/04/its-a-trap/#a-little-on-the-nose
But the most insidious form of worker optimization is "algorithmic wage discrimination." That's when a company uses surveillance data to lower the wages of workers. For example, contract nurses are paid less if the app that hires them discovers (through the unregulated data-broker sector) that they have a lot of credit-card debt. After all, nurses who are heavily indebted can't afford to be choosy and turn down lowball offers:
https://pluralistic.net/2024/12/18/loose-flapping-ends/#luigi-has-a-point
This is the other form of surveillance pricing: pricing labor based on surveillance data. It's more cod-Marxism: "From each according to their desperation."
Forget "becoming ungovernable": to defeat these evil fuckers, we have to become unoptimizable:
https://pluralistic.net/2025/08/20/billionaireism/#surveillance-infantalism
How do we do that? Well, nearly every form of "optimization" begins with surveillance. They can't figure out whether they can charge you more if they can't spy on you. They can't figure out whether they can pay you less if they can't spy on you, either.
And the reason they can spy on you is because we let them. The last consumer privacy law to pass out of Congress was a 1988 bill that bans video-store clerks from disclosing your VHS rental history. Every other form of consumer surveillance is permitted under US federal law.
So step one of this process is to ban commercial surveillance. Banning algorithmic price discrimination is all well and good, but it is, ultimately, a form of redistribution. We're trying to make the companies share some of the excess they extract from our surveillance data. But predistribution – ending surveillance itself, in this case – is always far more effective than redistribution:
https://pluralistic.net/2025/10/31/losing-the-crypto-wars/#surveillance-monopolism
How do we do that? Well, we need to build a coalition. At the Electronic Frontier Foundation, we call this "privacy first": you can't solve all the internet's problems by fixing privacy, but you won't fix most of them unless we get privacy right, and so the (potential) coalition for a strong privacy regime is large and powerful:
https://pluralistic.net/2023/12/06/privacy-first/#but-not-just-privacy
But of course, "privacy first," doesn't mean "just privacy." We also need tools that target algorithmic pricing per se. In New York State, there's a new law that requires disclosure of algorithmic pricing, in the form of a prominent notification reading, "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA."
This is extremely weaksauce, and might even be worse than nothing. In California we have Prop 65, a rule that requires businesses to post signs and add labels any time they expose you to chemicals "known to the state of California to cause cancer." This caveat emptor approach (warn people, let them vote with their wallets) has led to every corner of California's built environment to be festooned with these warnings. Today, Californians just ignore these warnings, the same way that web users ignore the "privacy policy" disclosures on the sites they visit:
https://pluralistic.net/2025/04/19/gotcha/#known-to-the-state-of-california-to-cause-cancer
The right approach isn't to (merely) warn people about carcinogens (or privacy risks). The right approach is regulating harmful business practices, whether those practices give you a tumor or pick your pocket.
Under Biden, former FTC chair Lina Khan undertook proceedings to ban algorithmic pricing altogether. Trump's FTC killed that, along with all the other quality-of-life enhancing measures the FTC had in train (Trump's FTC chair replaced these with a program to root out "wokeness" in the agency).
Today, Khan is co-chair of Zohran Mamdani's transition team, and she will use the mayor's authority (under the New York City Consumer Protection Law of 1969, which addresses "unconscionable" commercial practices) to ban algorithmic pricing in NYC:
https://pluralistic.net/2025/11/15/unconscionability/#standalone-authority
Khan wasn't Biden's only de-optimizer. Under chair Rohit Chopra, Biden's Consumer Finance Protection Bureau actually banned the data-brokers who power surveillance pricing:
And of course, Trump's CFPB (neutered by Musk and his broccoli-haired brownshirts at DOGE) killed that effort:
https://pluralistic.net/2025/05/15/asshole-to-appetite/#ssn-for-sale
But the CFPB staffer who ran that effort has gone to work on an effort to leverage a New Jersey state privacy law to crush the data-broker industry:
https://www.wired.com/story/daniels-law-new-jersey-online-privacy-matt-adkisson-atlas-lawsuits/
These are efforts to optimize corporations for human thriving, by making them charge us less and pay us more. For while we are best off when we are unoptimizable, we are also best off when corporations are totally optimized – for our benefit.
(Image: Cryteria, CC BY 3.0, modified)

404 Media Is Making a Zine https://www.404media.co/404-media-is-making-a-zine/
Maybe a General Strike Isn’t So Impossible Now https://labornotes.org/2025/12/maybe-general-strike-isnt-so-impossible-now
The Naibbe cipher: a substitution cipher that encrypts Latin and Italian as Voynich Manuscript-like ciphertext https://www.tandfonline.com/doi/full/10.1080/01611194.2025.2566408
Bringing organizational maturity to radical groups https://blog.bl00cyb.org/2025/12/bringing-organizational-maturity-to-radical-groups/
#20yrsago Free voicemail helps homeless people get jobs https://web.archive.org/web/20051210021850/http://www.cvm.org/
#20yrsago Anti-P2P company decides to focus on selling music instead https://de.advfn.com/borse/NASDAQ/LOUD/nachrichten/13465769/loudeye-to-exit-content-protection-services-busine
#20yrsago Caller Eye-Deer’s eyes glow when phone rings https://www.flickr.com/photos/84221353@N00/71889050/in/pool-69453349@N00
#20yrsago EFF to Sunncomm: release a list of all infected CDs! https://web.archive.org/web/20051212072537/https://www.eff.org/deeplinks/archives/004245.php
#20yrsago Only 2% of music-store downloaders care about legality of their music https://web.archive.org/web/20051225200658/http://www.mp3newswire.net/stories/5002/tempo2005.html
#20yrsago Dykes on Bikes gives the Trademark Office a linguistics lesson https://web.archive.org/web/20060523133217/https://www.sfgate.com/cgi-bin/article.cgi?file=/c/a/2005/12/09/MNGQOG5D7P1.DTL&type=printable
#20yrsago Robert Sheckley has died https://nielsenhayden.com/makinglight/archives/007078.html
#20yrsago Xbox 360 DRM makes your rip your CDs again https://www.gamespot.com/articles/microsoft-xbox-360-hands-on-report/1100-6139672/
#20yrsago Music publishers: Jail for lyric-sites http://news.bbc.co.uk/2/hi/entertainment/4508158.stm
#15yrsago 2600 Magazine condemns DDoS attacks against Wikileaks censors https://web.archive.org/web/20101210213130/https://www.2600.com/news/view/article/12037
#15yrsago UK supergroup records 4’33”, hopes to top Xmas charts https://www.theguardian.com/music/2010/dec/06/cage-against-machine-x-factor
#15yrsago FarmVille’s secret: making you anxious https://web.archive.org/web/20101211120105/http://www.gamasutra.com/view/feature/6224/catching_up_with_jonathan_blow.php?print=1
#15yrsago Rogue Archivist beer https://web.archive.org/web/20101214060929/https://livingproofbrewcast.com/2010/12/giving-the-rogue-archivist-to-its-namesake/
#15yrsago Hossein “Hoder” Derakhshan temporarily released from Iranian prison https://cyrusfarivar.com/blog/2010/12/09/iranian-blogging-pioneer-temporarily-released-from-prison/
#15yrsago Student protesters in London use Google Maps to outwit police “kettling” https://web.archive.org/web/20101212042006/https://bengoldacre.posterous.com/student-protestors-using-live-tech-to-outwit
#15yrsago Google foreclosure maps https://web.archive.org/web/20170412162114/http://ritholtz.com/2010/12/google-map-foreclosures/
#15yrsago Theory and practice of queue design https://passport2dreams.blogspot.com/2010/12/third-queue.html
#15yrsago Legal analysis of the problems of superherodom https://lawandthemultiverse.com/
#10yrsago A great, low-tech hack for teaching high-tech skills https://miriamposner.com/blog/a-better-way-to-teach-technical-skills-to-a-group/
#10yrsago In case you were wondering, there’s no reason to squirt coffee up your ass https://scienceblogs.com/insolence/2015/12/10/starbutts-or-how-is-it-still-a-thing-that-people-are-shooting-coffee-up-their-nether-regions
#10yrsago Survey of wealthy customers leads insurer to offer “troll insurance” https://www.telegraph.co.uk/finance/newsbysector/banksandfinance/insurance/12041832/Troll-insurance-to-cover-the-cost-of-internet-bullying.html
#10yrsago US State Department staffer sexually blackmailed women while working at US embassy https://web.archive.org/web/20151210230259/https://www.networkworld.com/article/3013633/security/ex-us-state-dept-worker-pleads-guilty-to-extensive-sextortion-hacking-and-cyberstalking-acts.html
#10yrsago Robert Silverberg’s government-funded guide to the psychoactive drugs of sf https://web.archive.org/web/20151211050648/https://motherboard.vice.com/read/the-us-government-funded-an-investigation-into-sci-fi-drug-use-in-the-70s
#10yrsago Toy demands that kids catch crickets and stuff them into an electronic car https://www.wired.com/2015/12/um-so-the-bug-racer-is-an-actual-toy-car-driven-by-crickets/
#10yrsago The crypto explainer you should send to your boss (and the FBI) https://web.archive.org/web/20151209011457/https://www.washingtonpost.com/news/the-switch/wp/2015/12/08/you-already-use-encryption-heres-what-you-need-to-know-about-it/
#10yrsago French PM defies Ministry of Interior, says he won’t ban open wifi or Tor https://web.archive.org/web/20160726031106/https://www.connexionfrance.com/Wifi-internet-ban-banned-17518-view-article.html
#10yrsago The no-fly list really is a no-brainer https://www.theguardian.com/us-news/2015/dec/09/no-fly-list-errors-gun-control-obama
#10yrsago America: shrinking middle class, growing poverty, the rich are getting richer https://www.pewresearch.org/social-trends/2015/12/09/the-american-middle-class-is-losing-ground/
#10yrsago Marriott removing desks from its hotel rooms “because Millennials” https://web.archive.org/web/20151210034312/http://danwetzelsports.tumblr.com/post/134754150507/who-stole-the-desk-from-my-hotel-room
#10yrsago China’s top Internet censor: “There’s no Internet censorship in China” https://hongkongfp.com/2015/12/09/there-is-no-internet-censorship-in-china-says-chinas-top-censor/
#10yrsago Stolen-card crime sites use “cop detection” algorithms to flag purchases https://krebsonsecurity.com/2015/12/when-undercover-credit-card-buys-go-bad/
#10yrsago UK National Crime Agency: if your kids like computers, they’re probably criminals https://www.youtube.com/watch?v=DjYrxzSe3DU
#10yrsago US immigration law: so f’ed up that Trump’s no-Muslim plan would be constitutional https://www.nytimes.com/2015/12/10/opinion/trumps-anti-muslim-plan-is-awful-and-constitutional.html?_r=0
#10yrsago Ecuador’s draft copyright law: legal to break DRM to achieve fair use https://medium.com/@AndresDelgadoEC/big-achievement-for-creative-commons-in-ecuador-national-assembly-decides-that-fair-use-trumps-drm-c8cdd9c57e01#.n1vkccd3r
#10yrsago One billion Creative Commons licenses in use https://stateof.creativecommons.org/2015/
#10yrsago The moral character of cryptographic work https://web.cs.ucdavis.edu/~rogaway/papers/moral-fn.pdf
#10yrsago Everybody knows: FBI won’t confirm or deny buying cyberweapons from Hacking Team https://web.archive.org/web/20151209163839/https://motherboard.vice.com/read/the-fbi-wont-confirm-or-deny-buying-hacking-team-spyware-even-though-it-did
#10yrsago European Commission resurrects an unkillable stupid: the link tax https://web.archive.org/web/20160913095014/https://openmedia.org/en/bad-idea-just-got-worse-how-todays-european-copyright-plans-will-damage-internet
#5yrsago Why we can't have nice things https://pluralistic.net/2020/12/10/borked/#bribery
#5yrsago Facebook vs Robert Bork https://pluralistic.net/2020/12/10/borked/#zucked
#1yrago Tech's benevolent-dictator-for-life to authoritarian pipeline https://pluralistic.net/2024/12/10/bdfl/#high-on-your-own-supply
#1yrago Predicting the present https://pluralistic.net/2024/12/09/radicalized/#deny-defend-depose

Denver: Enshittification at Tattered Cover Colfax, Jan 22
https://www.eventbrite.com/e/cory-doctorow-live-at-tattered-cover-colfax-tickets-1976644174937
Colorado Springs: Guest of Honor at COSine, Jan 23-25
https://www.firstfridayfandom.org/cosine/
Enshittification on The Daily Show
https://www.youtube.com/watch?v=d2e-c9SF5nE
Enshittification with Four Ways to Change the World (Channel 4)
https://www.youtube.com/watch?v=tZQaEeuuI3Q
The Plan is to Make the Internet Worse. Forever. (Novarra Media)
https://www.youtube.com/watch?v=7wE8G-d7SnY
Enshittification (Future Knowledge)
https://futureknowledge.transistor.fm/episodes/enshittification
"Enshittification: Why Everything Suddenly Got Worse and What to Do About It," Farrar, Straus, Giroux, October 7 2025
https://us.macmillan.com/books/9780374619329/enshittification/
"Picks and Shovels": a sequel to "Red Team Blues," about the heroic era of the PC, Tor Books (US), Head of Zeus (UK), February 2025 (https://us.macmillan.com/books/9781250865908/picksandshovels).
"The Bezzle": a sequel to "Red Team Blues," about prison-tech and other grifts, Tor Books (US), Head of Zeus (UK), February 2024 (the-bezzle.org).
"The Lost Cause:" a solarpunk novel of hope in the climate emergency, Tor Books (US), Head of Zeus (UK), November 2023 (http://lost-cause.org).
"The Internet Con": A nonfiction book about interoperability and Big Tech (Verso) September 2023 (http://seizethemeansofcomputation.org). Signed copies at Book Soup (https://www.booksoup.com/book/9781804291245).
"Red Team Blues": "A grabby, compulsive thriller that will leave you knowing more about how the world works than you did before." Tor Books http://redteamblues.com.
"Chokepoint Capitalism: How to Beat Big Tech, Tame Big Content, and Get Artists Paid, with Rebecca Giblin", on how to unrig the markets for creative labor, Beacon Press/Scribe 2022 https://chokepointcapitalism.com
"Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2026
"The Memex Method," Farrar, Straus, Giroux, 2026
"The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
Today's top sources:
Currently writing:
"The Post-American Internet," a short book about internet policy in the age of Trumpism. PLANNING.
A Little Brother short story about DIY insulin PLANNING

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ISSN: 3066-764X
09.12.2025 à 12:01
Cory Doctorow
I have a weird fascination with early-stage Bill Gates, after his mother convinced a pal of hers – chairman of IBM's board of directors – to give her son the contract to provide the operating system for the new IBM PC. Gates and his pal Paul Allen tricked another programmer into selling them the rights to DOS, which they sold to IBM, setting Microsoft on the path to be one of the most profitable businesses in human history.
IBM could have made its own OS, of course. They were just afraid to, because they'd just narrowly squeaked out of a 12-year antitrust war with the Department of Justice (evocatively memorialized as "Antitrust's Vietnam"):
https://pluralistic.net/2022/10/02/the-true-genius-of-tech-leaders/
The US government traumatized IBM so badly that they turned over their crown jewels to these two prep-school kids, who scammed a pal out of his operating system for $50k and made billions from it. Despite owing his business to IBM (or perhaps because of this fact), Gates routinely mocked IBM as a lumbering dinosaur that was headed for history's scrapheap. He was particularly scornful of IBM's software development methodology, which, to be fair, was pretty terrible: IBM paid programmers by the line of code. Gates called this "the race to build the world's heaviest airplane."
After all, judging software by lines of code is a terrible idea. To the extent that "number of lines of code" has any correlation with software quality, reliability or performance, it has a negative correlation. While it's certainly possible to write software with too few lines of code (e.g. when instructions are stacked on a single line, obfuscating its functionality and making it hard to maintain), it's far more common for programmers to use too many steps to solve a problem. The ideal software is just right: verbose enough to be legible to future maintainers, streamlined enough to omit redundancies.
This is broadly true of many products, and not just airplanes. Office memos should be long enough to be clear, but no longer. Home insulation should be sufficient to maintain the internal temperature, but no more.
Ironically, enterprise tech companies' bread and butter is selling exactly this kind of qualitative measurements for bosses who want an easy, numeric way to decide which of their workers to fire, and leading the pack is Microsoft, whose flagship Office365 lets bosses assess their workers' performance on meaningless metrics like how many words they type, ranking each worker against other workers within the division, with rival divisions and within rival firms. Yes, Microsoft actually boasts to companies about the fact that if you use their products, they will gather sensitive data about how your workers perform individually and as a team, and share that information with your competitors!
https://pluralistic.net/2020/11/25/the-peoples-amazon/#clippys-revenge
But while tech companies employed programmers to develop this kind of bossware to be used on other companies' employees, they were loathe to apply them to their own workers. For one thing, it's just a very stupid way to manage a workforce, as Bill Gates himself would be the first to tell you (candidly, provided he wasn't trying to sell you an enterprise Office 365 license). For another, tech workers wouldn't stand for it. After all, these were the "princes of labor," each adding a million dollars or more to their boss's bottom line, and in such scarce supply that a coder could quit a job after the morning scrum and have a new one by the pre-dinner pickleball break:
https://pluralistic.net/2025/04/27/some-animals/#are-more-equal-than-others
Tech workers mistook the fear this dynamic instilled in their bosses for respect. They thought the reason their bosses gave them free massage therapists and kombucha on tap and a gourmet cafeteria was that their bosses liked them. After all, these bosses were all techies. A coder wasn't a worker, they were a temporarily embarrassed founder. That's why Zuck and Sergey tuned into those engineering town hall meetings and tolerated being pelted with impertinent questions about the company's technology and business strategy.
Actually, tech bosses didn't like tech workers. They didn't see them as peers. They saw them as workers. Problem workers, at that. Problems to be solved.
And wouldn't you know it, supply caught up with demand and tech companies instituted a program of mass layoffs. When Google laid off 12,000 workers (just before a $80b stock buyback that would have paid their wages for 27 years), they calmed investors by claiming that they weren't doing this because business was bad – they were just correcting some pandemic-era overhiring. But Google didn't just fire junior programmers – they targeted some of their most senior (and thus mouthiest and highest-paid) techies for the chop.
Today, Sergey and Zuck no longer attend engineering meetings ("Not a good use of my time" -M. Zuckerberg). Tech workers are getting laid off at the rate of naughts. And none of these bastards can shut up about how many programmers they plan on replacing with AI:
https://pluralistic.net/2025/08/05/ex-princes-of-labor/#hyper-criti-hype
And wouldn't you know it, the shitty monitoring and ranking technology that programmers made to be used on other workers is finally being used on them:
https://jonready.com/blog/posts/everyone-in-seattle-hates-ai.html
Naturally, the excuse is monitoring AI usage. Microsoft – along with all the other AI-peddling tech companies – keep claiming that their workers adore using AI to write software, but somehow, also have to monitor workers so they can figure out which ones to fire because they're not using AI enough:
This is the "shitty technology adoption curve" in action. When you have a terrible, destructive technology, you can't just deploy it on privileged people who get taken seriously in policy circles. You start with people at the bottom of the privilege gradient: prisoners, mental patients, asylum-seekers. Then, you work your way up the curve – kids, gig workers, blue collar workers, pink collar workers. Eventually, it comes for all of us:
https://pluralistic.net/2021/02/24/gwb-rumsfeld-monsters/#bossware
As Ed Zitron writes, tech hasn't had a big, successful product (on the scale of, say, the browser or the smartphone) in more than a decade. Tech companies have seemingly run out of new trillion-dollar industries to spawn. Tech bosses are pulling out all the stops to make their companies seem as dynamic and profitable as they were in tech's heyday.
Firing workers and blaming it on AI lets tech bosses transform a story that would freak out investors ("Our business is flagging and we had to fire a bunch of valuable techies") into one that will shake loose fresh billions in capital ("Our AI product is so powerful it let us fire a zillion workers!").
And for tech bosses, mass layoffs offer another, critical advantage: pauperizing those princes of labor, so that they can shed their company gyms and luxury commuter busses, cut wages and benefits, and generally reset the working expectations of the tech workers who sit behind a keyboard to match the expectations of tech workers who assemble iPhones, drive delivery vans, and pack boxes in warehouses.
For tech workers who currently don't have a pee bottle or a suicide net at their job-site, it's long past time to get over this founder-in-waiting bullshit and get organized. Recognize that you're a worker, and that workers' only real source of power isn't ephemeral scarcity, it's durable solidarity:
https://techworkerscoalition.org/
(Image: Cryteria, CC BY 3.0, modified)

Judge hints Vizio TV buyers may have rights to source code licensed under GPL https://www.theregister.com/2025/12/05/vizio_gpl_source_code_ruling/
Chamberlain blocks smart home integrations with its garage door openers — again https://www.theverge.com/tech/839294/chamberlain-myq-garage-door-opener-update-blocks-aftermarket-controllers
Smart Garage Door Opener https://3reality.com/product/smartgarage-door-opener/
The Best Books in eBooks and Audiobooks of 2025 https://www.kobo.com/us/en/p/best-books-of-2025
#20yrsago WaWa Digital Cameras threatens to break customer’s neck https://thomashawk.com/2005/12/abusive-new-york-camera-store.html
#20yrsago Keyboard used as bean-sprouting medium https://web.archive.org/web/20051205011830/http://www.nada.kth.se/~hjorth/krasse/english.html
#15yrsago Judge to copyright troll: get lost https://torrentfreak.com/acslaw-take-alleged-file-sharers-to-court-but-fail-on-a-grand-scale-101209/
#15yrsago Ink cartridge rant https://web.archive.org/web/20101211080931/http://www.inkcartridges.uk.com/Remanufactured-HP-300-CC640EE-Black.html
#15yrsago 1.1 billion US$100 notes out of circulation due to printing error https://www.cnbc.com/2010/12/07/the-fed-has-a-110-billion-problem-with-new-benjamins.html
#15yrsago EFF wants Righthaven to pay for its own ass-kicking https://web.archive.org/web/20101211011932/https://www.wired.com/threatlevel/2010/12/payup-troll/
#15yrsago danah boyd explains email sabbaticals https://www.zephoria.org/thoughts/archives/2010/12/08/i-am-offline-on-email-sabbatical-from-december-9-january-12.html
#15yrsago TSA subjects India’s US ambassador to public grope because of her sari https://web.archive.org/web/20101211113821/http://travel.usatoday.com/flights/post/2010/12/india-diplomat-gets-humiliating-pat-down-at-mississippi-airport-/134197/5?csp=outbrain&csp=obnetwork
#15yrsago California’s safety codes are now open source! https://code.google.com/archive/p/title24/
#10yrsago When the INS tried to deport John Lennon, the FBI pitched in to help https://www.muckrock.com/news/archives/2015/dec/08/john-lennons-fbi-file-1/
#10yrsago The Big List of What’s Wrong with the TPP https://www.eff.org/deeplinks/2015/12/how-tpp-will-affect-you-and-your-digital-rights
#10yrsago Concrete Park: apocalyptic, afrofuturistic graphic novel of greatness https://memex.craphound.com/2015/12/08/concrete-park-apocalyptic-afrofuturistic-graphic-novel-of-greatness/
#10yrsago Denmark’s top anti-piracy law firm pocketed $25m from rightsholders, then went bankrupt https://torrentfreak.com/anti-piracy-lawyer-milked-copyright-holders-for-millions-151208/
#5yrsago Uber pays to get rid of its self-driving cars https://pluralistic.net/2020/12/08/required-reading/#goober
#5yrsago All the books I reviewed in 2020 https://pluralistic.net/2020/12/08/required-reading/#recommended-reading
#5yrsago Ford patents plutocratic lane-changes https://pluralistic.net/2020/12/08/required-reading/#walkaway

Denver: Enshittification at Tattered Cover Colfax, Jan 22
https://www.eventbrite.com/e/cory-doctorow-live-at-tattered-cover-colfax-tickets-1976644174937
Colorado Springs: Guest of Honor at COSine, Jan 23-25
https://www.firstfridayfandom.org/cosine/
The Plan is to Make the Internet Worse. Forever. (Novarra Media)
https://www.youtube.com/watch?v=7wE8G-d7SnY
Enshittification (Future Knowledge)
https://futureknowledge.transistor.fm/episodes/enshittification
We have become slaves to Silicon Valley (Politics JOE)
https://www.youtube.com/watch?v=JzEUvh1r5-w
How Enshittification is Destroying The Internet (Frontline Club)
https://www.youtube.com/watch?v=oovsyzB9L-s
"Enshittification: Why Everything Suddenly Got Worse and What to Do About It," Farrar, Straus, Giroux, October 7 2025
https://us.macmillan.com/books/9780374619329/enshittification/
"Picks and Shovels": a sequel to "Red Team Blues," about the heroic era of the PC, Tor Books (US), Head of Zeus (UK), February 2025 (https://us.macmillan.com/books/9781250865908/picksandshovels).
"The Bezzle": a sequel to "Red Team Blues," about prison-tech and other grifts, Tor Books (US), Head of Zeus (UK), February 2024 (the-bezzle.org).
"The Lost Cause:" a solarpunk novel of hope in the climate emergency, Tor Books (US), Head of Zeus (UK), November 2023 (http://lost-cause.org).
"The Internet Con": A nonfiction book about interoperability and Big Tech (Verso) September 2023 (http://seizethemeansofcomputation.org). Signed copies at Book Soup (https://www.booksoup.com/book/9781804291245).
"Red Team Blues": "A grabby, compulsive thriller that will leave you knowing more about how the world works than you did before." Tor Books http://redteamblues.com.
"Chokepoint Capitalism: How to Beat Big Tech, Tame Big Content, and Get Artists Paid, with Rebecca Giblin", on how to unrig the markets for creative labor, Beacon Press/Scribe 2022 https://chokepointcapitalism.com
"Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2026
"The Memex Method," Farrar, Straus, Giroux, 2026
"The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
Today's top sources:
Currently writing:
"The Post-American Internet," a short book about internet policy in the age of Trumpism. PLANNING.
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/
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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
08.12.2025 à 14:01
Cory Doctorow
In my book Enshittification, I develop the concept of "giant teddybears," a scam that has been transposed from carnival midway games to digital platforms. The EU has just fined Elon Musk $140m for running a giant teddybear scam on Twitter:
Growing up, August 15 always meant two things for my family: my mother's birthday and the first day of the CNE, a giant traveling fair that would park itself on Toronto's waterfront for the last three weeks of summer. We'd get there early, and by 10AM, there'd always be some poor bastard lugging around a galactic-scale giant teddybear that was offered as a prize at one of the midway games.
Now, nominally, the way you won a giant teddybear was by getting five balls in a peach basket. To a first approximation, this is a feat that no one has ever accomplished. Rather, a carny had beckoned this guy over and said, "Hey, fella, I like your face. Tell you what I'm gonna do: you get just one ball in the basket and I'll give you one of these beautiful, luxurious keychains. If you win two keychains, I'll let you trade them in for one of these gigantic teddybears."
Why would the carny do this? Because once this poor bastard took possession of the giant teddybear, he was obliged to conspicuously lug it around the CNE midway in the blazing, muggy August heat. All who saw him would think, "Hell if that dumbass can win a giant teddybear, I'm gonna go win one, too!" Charitably, you could call him a walking advertisement. More accurately, though, he was a Judas goat.
Digital platforms have the ability to give out giant teddybears at scale. Because digital platforms have the flexibility that comes with running things on computers, platforms can pick out individual platform participants and make them King For the Day, showering them in riches that they will boast of, luring in other suckers who will lose everything:
https://pluralistic.net/2023/02/19/twiddler/
That's how Tiktok works: the company's "heating tool" lets them drive traffic to Tiktok performers by cramming their videos into millions of random people's feeds, overriding Tiktok's legendary recommendation algorithm. Those "heated" performers get millions of views on their videos and go on to spam all the spaces where similar performers hang out, boasting of the fame and riches that await other people in their niche if they start producing for Tiktok:
https://pluralistic.net/2023/01/21/potemkin-ai/#hey-guys
Uber does it, too: as Veena Dubal documents in her work on "algorithmic wage discrimination," Uber offers different drivers wildly different wages for performing the same work. The lucky few who get an Uber giant teddybear hang out in rideshare groupchats and forums, trumpeting their incredible gains from the platform, while everyone else blames themselves for "being bad at the app," as they drive and drive, only to go deeper and deeper into debt:
https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men
Everywhere you look online, you see giant teddybears. Think of Joe Rogan being handed hundreds of millions of dollars to relocate his podcast to Spotify, an also-ran podcast platform that is desperately trying to capture the medium of podcasting, turning an open protocol into a proprietary, enclosed, Spotify-exclusive content stream:
https://pluralistic.net/2023/01/27/enshittification-resistance/#ummauerter-garten-nein
The point of the conspicuous, over-the-odds payment to Rogan isn't just to get Rogan onto Spotify – it's to convince every other podcaster that Spotify is a great place to make podcasts for. It isn't, though: when Spotify bought Gimlet Media, they locked Gimlet's podcasts inside Spotify's walled garden/maximum security prison. If you wanted to listen to a Gimlet podcast, you'd have to switch to using Spotify's app (and submitting to Spotify's invasive surveillance and restrictions on fast-forwarding through ads, etc).
Pretty much no one did this. After an internal revolt by Gimlet podcast hosts – whose podcasts were dwindling to utter irrelevance because no one was listening to them anymore – Spotify moved those Gimlet podcasts back onto the real internet, where they belong.
When Musk bought Twitter, he started handing out tons of giant teddybears – most notably, he created an opaque monetization scheme for popular Twitter posters, which allowed him to thumb the scales for a few trolls he liked, who obliged him by loudly proclaiming just how much money you could make by trolling professionally on Twitter. Needless to say, the vast majority of people who try this make either nothing, or a sum so small that it rounds to nothing.
But Musk's main revenue plan for Twitter – the thing he repeatedly promised would allow him to recoup the tens of billions he borrowed to buy the platform – was selling blue tick verification.
Twitter created blue ticks to solve a serious platform problem. Twitter users kept getting sucked in by impersonators who would trick them into participating in scams or believing false things. To protect those users, Twitter offered a verification scheme for "notable people" who were likely to face impersonation. The verification system was never very good – I successfully lobbied them to improve it a little when I was being impersonated on Twitter (I got them to stop insisting that users fax them a scan of their ID, or, more realistically, to send them ID via a random, insecure email-to-fax gateway). But it did the job reasonably well.
Predictably, though, the verification scheme also became something of a (weird and unimportant) status-symbol, allowing a certain kind of culture warrior to peddle grievances about how only "lamestream media libs" were getting blue ticks, while brave Pizzagaters and 4chan refugees were denied this important recognition.
Musk's plan to sell blue ticks leaned heavily into these grievances. He promised to "democratize" verification, for $8/month (or, for businesses, many thousands of dollars per month). Users who didn't buy blue ticks would have their content demoted and hidden from their own followers. Users who paid for blue ticks would have their content jammed into everyone's feeds, irrespective of whether Twitter's own content recommendation algorithms predicted those users would enjoy it. Best of all, Twitter wouldn't do much verifying – you could give Twitter $8, claim to be anyone at all, and chances are, you would be able to assume any identity you wanted, post any bullshit you wanted, and get priority placement in millions of users' feeds.
This was a massive gift to scammers, trolls and disinformation peddlers. For $8, you could pretend to be a celebrity in order to endorse a stock swindle, shitcoin hustle, or identity theft scheme. You could post market-moving disinformation from official-looking corporate accounts. You could pose as a campaigning politician or a reporter and post reputation-destroying nonsense.
This is where the EU comes in. In 2024, the EU enacted a pair of big, muscular Big Tech antitrust laws, the Digital Services Act (DSA) and the Digital Markets Act (DMA). These are complex pieces of legislation, and I don't like everything in them, but some parts of them are amazing: bold and imaginative breaks from the dismal history of ineffective or counterproductive tech regulation.
Under the DSA, the EU has fined Twitter about $140m for exposing users to scams via this blue tick giant teddybear wheeze (much of that sum is punitive, because Twitter flagrantly obstructed the Commission's investigations). The DSA (sensibly) doesn't require user verification, but it does expect companies that tell their users that some accounts are verified and can be trusted, to actually verify that they actually can be trusted.
I think there's a second DSA claim to be made here, beyond the failure to verify. Musk's plan to sell blue ticks was a disaster: while many, many scammers (and a few trolls) bought blue ticks, no one else did. The blue tick – which Musk thought of as a valuable status symbol that he could sell – was quickly devalued. "Account with a blue tick" was never all that prestigious, but under Musk, it came to mean "account that pushes scams, gore, disinformation, porn and/or hate."
So Musk did something very funny and sweaty. He restored blue ticks to millions of high-follower accounts (including my own). And despite the fact that Musk had created about a million different kinds of blue ticks that denoted different kinds of organizations and payment schemes, these free blue ticks were indistinguishable from the paid ones.
In other words, Musk set out to trick users into thinking that the most prominent people they followed believed that it was worth spending $8/month on a blue tick. It was an involuntary giant teddybear scam. Every time a prominent user with a free blue tick posts, they help Musk trick regular Twitter users into thinking that these worthless $8/month subscriptions are worth shelling out for.
I think the Commission could run another, equally successful enforcement action against Musk and Twitter over this scam, too.
Trump has been bellyaching nonstop about the DSA and DMA, threatening EU nations and businesses with tariffs and other TACO retribution if they go ahead with DSA/DMA enforcement. Let's hope the EU calls his bluff.
Of course, Musk could get out of paying these fines by moving all his businesses out of the EU, which, frankly, would be a major result for Europe.
(Image: Gage Skidmore, CC BY-SA 4.0, modified)

How popular is ecosocialist transformation? https://jasonhickel.substack.com/p/how-popular-is-ecosocialist-transformation
Luigi Mangione Official Legal Fund for all 3 Cases https://www.givesendgo.com/luigi-defense-fund
Trump’s Katrina Is Coming https://prospect.org/2025/12/05/trumps-katrina-is-coming-fema/
DEFT: DSPs for Equitable and Fair Treatment https://deft-us.com/
#20yrsago What’s involved in different publishing jobs? https://web.archive.org/web/20050306095536/http://www.penguin.co.uk/static/packages/uk/aboutus/jobs_workingpeng.html
#20yrsago Sony finally releases rookit uninstaller — sort of https://web.archive.org/web/20051204015131/http://cp.sonybmg.com/xcp/english/updates.html
#20yrsago EFF forces Sony/Suncomm to fix its spyware https://web.archive.org/web/20051210024413/https://www.eff.org/news/archives/2005_12.php#004234
#20yrsago Warner Music attacks specialized web-browser https://web.archive.org/web/20051210024927/http://www.pearworks.com/pages/pearLyrics.html
#20yrsago Sony’s DRM security fix leaves your computer more vulnerable https://blog.citp.princeton.edu/2005/12/07/mediamax-bug-found-patch-issued-patch-suffers-same-bug/
#15yrsago Internet furnishes fascinating tale of a civil rights era ghosttown on demandhttps://www.reddit.com/r/AskReddit/comments/eddwx/what_the_hell_happened_to_cairo_illinois/
#15yrsago Pasta carpet! https://wemakecarpets.wordpress.com/2010/11/02/pasta-carpet-2/
#15yrsago With a Little Help launch! https://memex.craphound.com/2010/12/07/with-a-little-help-launch/
#15yrsago Denver bomb squad defeats 8″ toy robot after hours-long standoff https://www.denverpost.com/2010/12/01/toy-robot-detours-traffic-near-coors-field/
#15yrsago UK govt demands an end to evidence-based drug policy https://www.theguardian.com/politics/2010/dec/05/government-scientific-advice-drugs-policy?&
#10yrsago Iceland’s fastest-growing “religion” courts atheists by promising to rebate religious tax https://icelandmonitor.mbl.is/news/politics_and_society/2015/12/01/icelanders_flocking_to_the_zuist_religion/
#10yrsago Springer Nature to release 100,000 titles as DRM-free bundles https://web.archive.org/web/20151210051243/https://www.digitalbookworld.com/2015/bitlit-partners-with-springer-to-offer-ebook-bundles/
#10yrsago Solo: Hope Larson’s webcomic of rock-n-roll, romance, and desperation https://memex.craphound.com/2015/12/07/solo-hope-larsons-webcomic-of-rock-n-roll-romance-and-desperation/
#10yrsago Body-painted models disappear into the Wonders of the World https://www.trinamerry.com/trinamerryblog/sevenwondersbodypaint
#10yrsago Make: the simplest electric car toy, a homopolar motor https://www.youtube.com/watch?v=oPzJr1jjHnQ
#10yrsago Thomas Piketty seminar on Crooked Timber https://crookedtimber.org/2016/01/04/thomas-piketty-seminar/
#10yrsago MAKE: a tiki-mug menorah https://web.archive.org/web/20151208123229/http://news.critiki.com/2015/12/05/tiki-mug-menorah-a-how-to-from-poly-hai/
#10yrsago Harvard Business School: Talented assholes are more trouble than they’re worth https://www.hbs.edu/ris/Publication
#10yrsago Multi-generational cruelty: America’s prisons shutting down kids’ visitations https://web.archive.org/web/20151204063410/https://www.thenation.com/article/2-7m-kids-have-parents-in-prison-theyre-losing-their-right-to-visit/
#10yrsago READ: Kim Stanley Robinson’s first standalone story in 25 years! https://reactormag.com/oral-argument-kim-stanley-robinson//
#10yrsago French Ministry of Interior wants to ban open wifi, Tor https://arstechnica.com/tech-policy/2015/12/france-looking-at-banning-tor-blocking-public-wi-fi/
#5yrsago China’s war on big data backstabbing https://pluralistic.net/2020/12/07/backstabbed/#big-data-backstabbing
#5yrsago The largest strike in human history https://pluralistic.net/2020/12/06/surveillance-tulip-bulbs/#modi-miscalulation
#5yrsago Ad-tech as a bubble overdue for a bursting https://pluralistic.net/2020/12/06/surveillance-tulip-bulbs/#adtech-bubble
#1yrago Battery rationality https://pluralistic.net/2024/12/06/shoenabombers/#paging-dick-cheney
#1yrago A year in illustration (2024) https://pluralistic.net/2024/12/07/great-kepplers-ghost/#art-adjacent

Madison, CT: Enshittification at RJ Julia, Dec 8
https://rjjulia.com/event/2025-12-08/cory-doctorow-enshittification
Hamburg: Chaos Communications Congress, Dec 27-30
https://events.ccc.de/congress/2025/infos/index.html
Denver: Enshittification at Tattered Cover Colfax, Jan 22
https://www.eventbrite.com/e/cory-doctorow-live-at-tattered-cover-colfax-tickets-1976644174937
Colorado Springs: Guest of Honor at COSine, Jan 23-25
https://www.firstfridayfandom.org/cosine/
>
Enshittification (Future Knowledge)
https://futureknowledge.transistor.fm/episodes/enshittification
We have become slaves to Silicon Valley (Politics JOE)
https://www.youtube.com/watch?v=JzEUvh1r5-w
How Enshittification is Destroying The Internet (Frontline Club)
https://www.youtube.com/watch?v=oovsyzB9L-s
Escape Forward with Cristina Caffarra
https://escape-forward.com/2025/11/27/enshittification-of-our-digital-experience/
"Enshittification: Why Everything Suddenly Got Worse and What to Do About It," Farrar, Straus, Giroux, October 7 2025
https://us.macmillan.com/books/9780374619329/enshittification/
"Picks and Shovels": a sequel to "Red Team Blues," about the heroic era of the PC, Tor Books (US), Head of Zeus (UK), February 2025 (https://us.macmillan.com/books/9781250865908/picksandshovels).
"The Bezzle": a sequel to "Red Team Blues," about prison-tech and other grifts, Tor Books (US), Head of Zeus (UK), February 2024 (the-bezzle.org).
"The Lost Cause:" a solarpunk novel of hope in the climate emergency, Tor Books (US), Head of Zeus (UK), November 2023 (http://lost-cause.org).
"The Internet Con": A nonfiction book about interoperability and Big Tech (Verso) September 2023 (http://seizethemeansofcomputation.org). Signed copies at Book Soup (https://www.booksoup.com/book/9781804291245).
"Red Team Blues": "A grabby, compulsive thriller that will leave you knowing more about how the world works than you did before." Tor Books http://redteamblues.com.
"Chokepoint Capitalism: How to Beat Big Tech, Tame Big Content, and Get Artists Paid, with Rebecca Giblin", on how to unrig the markets for creative labor, Beacon Press/Scribe 2022 https://chokepointcapitalism.com
"Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2026
"The Memex Method," Farrar, Straus, Giroux, 2026
"The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
Today's top sources:
Currently writing:
"The Post-American Internet," a short book about internet policy in the age of Trumpism. PLANNING.
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.
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Newsletter (no ads, tracking, or data-collection):
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Medium (no ads, paywalled):
Twitter (mass-scale, unrestricted, third-party surveillance and advertising):
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
06.12.2025 à 20:48
Cory Doctorow
It's a strange fact that the more sophisticated and polished a theory gets, the simpler it tends to be. New theories tend to be inspired by a confluence of many factors, and early attempts to express the theory will seek to enumerate and connect everything that seems related, which is a lot.
But as you develop the theory, it gets progressively more streamlined as you realize which parts can be safely omitted or combined without sacrificing granularity or clarity. This simplification requires a lot of iteration and reiteration, over a lot of time, for a lot of different audiences and critics. As Thoreau wrote (paraphrasing Pascal), "Not that the story need be long, but it will take a long while to make it short."
This week, I encountered a big, exciting theory that is still in the "long and complicated" phase, with so many moving parts that I'm having trouble keeping them straight in my head. But the idea itself is fascinating and has so much explanatory power, and I've been thinking about it nonstop, so I'm going to try to metabolize a part of it here today, both to bring it to your attention, and to try and find some clarity for myself.
At issue is Dylan Riley and Robert Brenner's theory of "political capitalism," which I encountered through John Ganz's writeup of a panel he attended to discuss Riley and Brenner's work:
https://www.unpopularfront.news/p/politics-and-capitalist-stagnation
Riley and Brenner developed this theory through a pair of very long (and paywalled) articles in the New Left Review. First is 2022's "Seven Theses on American Politics" (£3), which followed the Democrats' surprisingly good showing in the 2022 midterms:
https://newleftreview.org/issues/ii138/articles/4813
The second article, "The Long Downturn and Its Political Results" (£4), is even longer, and it both restates the theory of "Seven Theses" and addresses several prominent critics of their work:
(If you're thinking about reading the source materials – and I urge you to do so – I think you can safely just read the second article, as it really does recap and streamline the original.)
So what is this theory? Ganz does a good job of breaking it down (better than Riley and Brenner, who, I think, still have a lot of darlings they can't bring themselves to murder). Here's my recap of Ganz's, then, with a few notes from the source texts thrown in.
Riley and Brenner are advancing both an economic and a political theory, with the latter growing out of the former. The economic theory seeks to explain two phenomena, the "Long Boom" (post-WWII to the 1960s or so), and the "Long Downturn" (ever since).
During the Long Boom, the US economy (and some other economies) experienced a period of sustained growth, without the crashes that had been the seemingly inevitable end-point of previous growth periods. Riley and Brenner say that these crashes were the result of business owners making the (locally) rational decision to hang on to older machines and tools even as new ones came online.
Businesses are always looking to invest in new automation in a bid to wring more productivity from their workers. Profits come from labor, not machines, and as your competitors invest in the same machines as you've just bought, the higher rate of profit you got when you upgraded your machines will be eroded, as competitors chase each others' customers with lower prices.
But not everyone is willing to upgrade when a new machine is invented. If you're still paying for the old machines, you just can't afford to throw them away and get the latest and greatest ones. Instead, as your competitors slash prices (because they have new machines that let them make the same stuff at a lower price), you must lower your prices too, accepting progressively lower profits.
Eventually, your whole sector is using superannuated machines that they're still making payments on, and the overall rate of profit in the sector has dwindled to unsustainable levels. "Zombie companies" (companies that have no plausible chance of paying off their debts) dominate the economy. This is the "secular stagnation" that economists dread. Note that this whole thing is driven by the very same forces that make capitalism so dynamic: the falling rate of profit that gives rise to a relentless chase for new, more efficient processes. This is a stagnation born of dynamism, and the harder you yank on the "make capitalism more dynamic" lever, the more stagnant it becomes.
Hoover and Mellon's austerity agenda in the 1920s sought to address this by triggering mass bankruptcies, in a brutal bid to "purge" those superannuated machines and the companies that owned them, at the expense of both workers and creditors. This wasn't enough.
Instead, we got WWII, in which the government stepped in to buy things at rates that paid for factories to be retooled, and which pressed the entire workforce into employment. This is the trigger for the Long Boom, as America got a do-over with all-new capital and a freshly trained workforce with high morale and up-to-date skills.
So that's the Long Boom. What about the Great Downturn? This is where Ganz's account begins. As the "late arrivals" (Japan, West Germany, South Korea, and, eventually China) show up on the world stage, they do their own Long Boom, having experienced an even more extreme "purge" of their zombie firms and obsolete machines. This puts downward pressure on profits in the USA (and, eventually, the late arrivals), leading to the Long Stagnation, a 50 year period in which the rate of profit in the USA has steadily declined.
This is most of the economic theory, and it contains the germ of the political theory, too. During the Long Boom, there was plenty to go around, and the US was able to build out a welfare state, its ruling class was willing to tolerate unions, and movements for political and economic equality for women, sexual minorities, disabled people, racial minorities, etc, were able to make important inroads.
But the political theory gets into high gear after years of Great Downturn. That's when the world has an oversupply of cheap goods and a sustained decline in the rate of profit, and the rate of profit declines every time someone invents a more efficient and productive technology. Companies in Downturn countries need to find a new way to improve their profits – they need to invest in something other than improved methods of production.
That's where "political capitalism" comes in. Political capitalism is the capitalism you get when the cheapest, most reliable way to improve your rate of profit is to invest in the political process, to get favorable regulation, pork barrel government contracts, and cash bailouts. As Ganz puts it, "capitalists have gone from profit-seekers to rent-seekers," or, as Brenner and Riley write, capitalists now seek "a return on investment largely or completely divorced from material production."
There's a sense in which this is immediately recognizable. The ascendancy of political capitalism tracks with the decline in antitrust enforcement, the rise of monopolies, a series of massive bailouts, and, under Trump, naked kleptocracy. In the US, "raw political power is the main source of return on capital."
The "neoliberal turn" of late Carter/Reagan is downstream of political capitalism. When there was plenty to go around, the capital classes and the political classes were willing to share with workers. When the Great Downturn takes hold, bosses turn instead to screwing workers and taking over the political system. Fans of Bridget Read's Little Bosses Everywhere will know this as the moment in which Gerry Ford legalized pyramid schemes in order to save the founders of Amway, who were big GOP donors who lived in Ford's congressional district:
https://pluralistic.net/2025/05/05/free-enterprise-system/#amway-or-the-highway
Manufacturing's rate of profit has never recovered from this period – there have been temporary rallies, but the overall trend is down, down, down.
But this is just the beginning of the political economy of Brenner and Riley's theory. Remember, this all started with an essay that sought to make sense of the 2022 midterms. Much of the political theory deals with electoral politics, and what has happened with America's two major political parties.
Under political capitalism, workers are split into different groups depending on their relationship to political corruption. The "professional managerial class" (workers with degrees and other credentials) end up aligned with center-left parties, betting that these parties will use political power to fund the kinds of industries that hire credentialed workers, like health and education. Non-credentialed workers align themselves with right-wing parties that promise to raise their wages by banning immigrants and ending free trade.
Ganz's most recent book, When the Clock Broke: Con Men, Conspiracists, and How America Cracked Up in the Early 1990s looks at the origins of the conspiratorial right that became MAGA:
https://us.macmillan.com/books/9780374605445/whentheclockbroke/
He says that Riley and Brenner's theory really helps explain the moment he chronicled in his own book, for example, the way that Ross Perot (an important Trump predecessor) built power by railing against "late arrivals" like Japan, Germany and South Korea.
This is also the heyday of corporate "finacialization," which can be thought of as the process by which companies stop concerning themselves with how to make and sell superior products more efficiently, and instead devote themselves to financial gimmicks that allow shareholders to extract wealth from the firm. It's a period of slashed R&D budgets, mass layoffs, union-busting, and massive corporate borrowing.
In the original papers, Riley and Brenner drop all kinds of juicy, eye-opening facts and arguments to support their thesis. For example, in the US, more and more machinery is idle. In the 1960s, the US employed 85% of its manufacturing capacity. It was 78% in the 1980s, and now it's 75%. One quarter of "US plant and equipment is simply stagnating."
Today's economic growth doesn't come from making stuff, it comes from extraction, buttressed by law. Looser debt rules allowed households to continue to consume by borrowing, with the effect that a substantial share of workers' wages go to servicing debt, which is to say, paying corporations for the privilege of existing, over and above the cost of the goods and services we consume.
But the debt industry itself hasn't gotten any more efficient: "the cost of moving a dollar from a saver to a borrower was about two cents in 1910; a hundred years later, it was the same." They're making more, but they haven't made any improvements – all the talk of "fintech" and "financial engineering" have not produced any efficiencies. "This puzzle resolves itself once we recognize that the vast majority of financial innovation is geared towards figuring out how to siphon off resources through fees, insider information and lobbying."
Reading these arguments, I was struck by how this period also covers the rise and rise of "IP." This is a period in which your ability to simply buy things declined, replaced with a system in which you rent and subscribe to things – forever. From your car to your thermostat, the key systems in your life are increasingly a monthly bill, meaning that every time you add something to your life, it's not a one-time expenditure; it's a higher monthly cost of living, forever.
The rise and rise of IP is certainly part of political capitalism. The global system of IP comes from political capture, such as the inclusion of an IP chapter ("TRIPS") in the World Trade Agreement, as well as the WIPO Copyright Treaties. This is basically a process by which large (mostly American) businesses reorganized the world's system of governance and law to allow them to extract rents and slash R&D. The absurd, inevitable consequence of this nonsense is today's "capital light" chip companies, that don't make chips, just designs, which are turned out by one or two gigantic companies, mostly in Taiwan.
Of course, Riley and Brenner aren't the first theorists to observe that our modern economy is organized around extracting rents, rather than winning profits. Yanis Varoufakis likens the modern economy to medieval feudalism, dubbing the new form "technofeudalism":
https://pluralistic.net/2023/09/28/cloudalists/#cloud-capital
Riley and Brenner harken back to a different kind of feudal practice as the antecedant to political capitalism: "tax-farming."
Groups of entrepreneurs would advance money to the sovereign in exchange for the right to collect taxes from a given territory or population. Their ‘profit’ consisted in the difference between the money that they advanced to the ruler for the right to tax and what they could extract from the population through the exercise of that right. So, these entrepreneurs invested in politics, the control of means of administration and the means of violence, as a method for extracting surplus, in this way making for a politically constituted form of rent.
Unlike profits, rents are "largely or completely divorced from material production," "they ‘create no wealth’ and … they ‘reduce economic growth and reallocate incomes from the bottom to the top.'"
To make a rent, you need an asset, and in today's system, high asset prices are a top political priority: governments intervene to keep the prices of houses high, to protect corporate bonds, and, of course, to keep AI companies' shares and IOUs from going to zero. The economy is dominated by "a large group of politically dependent firms and households…profoundly reliant on a policy of easy credit on the part of government… The US economy as a whole is sustained by lending, backed up by government, with profits accruing from production under excruciating pressure."
Our social programs have been replaced by public-private partnerships that benefit these "politically dependent firms." Bush's Prescription Drug Act didn't seek to recoup public investment in pharma research through lower prices – it offered a (further) subsidy to pharma companies in exchange for (paltry/nonexistent) price breaks. Obama's Affordable Care Act transferred hundreds of billions to investors in health corporations, who raised prices and increased their profits. Trump's CARES Act bailed out every corporate debtor in the country. Biden's American Rescue Plan, CHIPS Act and Inflation Reduction Act don't offer public services or transfer funds to workers – instead, they offer subsidies to the for-profit sector.
Electorally, political capitalism is a system of "vertiginous levels of campaign expenditure and open corruption on a vast scale." It pushed workers into the arms of far-right parties, while re-organizing center-left parties as center-right parties of the lanyard class. Both parties are hamstrung because "in a persistently low- or no-growth environment…parties can no longer operate on the basis of programmes for growth."
This is really just scraping the surface. I think it's well worth £4 to read the source document. I look forward to the further development of this theory, to its being streamlined. It's got a lot of important things to say, even if it is a little hard to metabolize at present.

Looks Like We Can Finally Kiss the Metaverse Goodbye https://gizmodo.com/looks-like-we-can-finally-kiss-the-metaverse-goodbye-2000695825
A New Anonymous Phone Carrier Lets You Sign Up With Nothing but a Zip Code https://www.wired.com/story/new-anonymous-phone-carrier-sign-up-with-nothing-but-a-zip-code/
Microsoft drops AI sales targets in half after salespeople miss their quotas https://arstechnica.com/ai/2025/12/microsoft-slashes-ai-sales-growth-targets-as-customers-resist-unproven-agents/
The Hidden Cost of Ceding Government Procurement to a Monopoly Gatekeeper https://ilsr.org/article/independent-business/turning-public-money-into-amazons-profits/
#20yrsago Student ethnographies of World of Warcraft https://web.archive.org/web/20051208020004/http://www.trinity.edu/adelwich/mmo/students.html
#20yrsago Sony rootkit ripped off anti-DRM code to break into iTunes https://blog.citp.princeton.edu/2005/12/04/hidden-feature-sony-drm-uses-open-source-code-add-apple-drm/
#20yrsago English info on France’s terrible proposed copyright law https://web.archive.org/web/20060111032903/http://eucd.info/index.php?English-readers
#15yrsago New Zealand leak: US-style copyright rules are a bad deal https://web.archive.org/web/20101206090519/http://www.michaelgeist.ca/content/view/5498/125/
#15yrsago Tron: Reloaded, come for the action, stay for the aesthetics https://memex.craphound.com/2010/12/05/tron-reloaded-come-for-the-action-stay-for-the-aesthetics/
#10yrsago Unelectable Lindsey Graham throws caution to the wind https://web.archive.org/web/20151206030630/https://gawker.com/i-am-tired-of-this-crap-lindsey-graham-plays-thunderi-1746116881
#10yrsago Every time there’s a mass shooting, gun execs & investors gloat about future earnings https://theintercept.com/2015/12/03/mass-shooting-wall-st/
#10yrsago How to bake spice-filled sandworm bread https://web.archive.org/web/20151205193104/https://kitchenoverlord.com/2015/12/03/dune-week-spice-filled-sandworm/
#5yrsago Descartes' God has failed and Thompson's Satan rules our computers https://pluralistic.net/2020/12/05/trusting-trust/#thompsons-devil
#5yrsago Denise Hearn and Vass Bednar's "The Big Fix" https://pluralistic.net/2024/12/05/ted-rogers-is-a-dope/#galen-weston-is-even-worse

Madison, CT: Enshittification at RJ Julia, Dec 8
https://rjjulia.com/event/2025-12-08/cory-doctorow-enshittification
Hamburg: Chaos Communications Congress, Dec 27-30
https://events.ccc.de/congress/2025/infos/index.html
Denver: Enshittification at Tattered Cover Colfax, Jan 22
https://www.eventbrite.com/e/cory-doctorow-live-at-tattered-cover-colfax-tickets-1976644174937
We have become slaves to Silicon Valley (Politics JOE)
https://www.youtube.com/watch?v=JzEUvh1r5-w
How Enshittification is Destroying The Internet (Frontline Club)
https://www.youtube.com/watch?v=oovsyzB9L-s
Escape Forward with Cristina Caffarra
https://escape-forward.com/2025/11/27/enshittification-of-our-digital-experience/
Why Every Platform Betrays You (Trust Revolution)
https://fountain.fm/episode/bJgdt0hJAnppEve6Qmt8
"Enshittification: Why Everything Suddenly Got Worse and What to Do About It," Farrar, Straus, Giroux, October 7 2025
https://us.macmillan.com/books/9780374619329/enshittification/
"Picks and Shovels": a sequel to "Red Team Blues," about the heroic era of the PC, Tor Books (US), Head of Zeus (UK), February 2025 (https://us.macmillan.com/books/9781250865908/picksandshovels).
"The Bezzle": a sequel to "Red Team Blues," about prison-tech and other grifts, Tor Books (US), Head of Zeus (UK), February 2024 (the-bezzle.org).
"The Lost Cause:" a solarpunk novel of hope in the climate emergency, Tor Books (US), Head of Zeus (UK), November 2023 (http://lost-cause.org).
"The Internet Con": A nonfiction book about interoperability and Big Tech (Verso) September 2023 (http://seizethemeansofcomputation.org). Signed copies at Book Soup (https://www.booksoup.com/book/9781804291245).
"Red Team Blues": "A grabby, compulsive thriller that will leave you knowing more about how the world works than you did before." Tor Books http://redteamblues.com.
"Chokepoint Capitalism: How to Beat Big Tech, Tame Big Content, and Get Artists Paid, with Rebecca Giblin", on how to unrig the markets for creative labor, Beacon Press/Scribe 2022 https://chokepointcapitalism.com
"Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2026
"The Memex Method," Farrar, Straus, Giroux, 2026
"The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
Today's top sources:
Currently writing:
"The Post-American Internet," a short book about internet policy in the age of Trumpism. PLANNING.
A Little Brother short story about DIY insulin PLANNING

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ISSN: 3066-764X
05.12.2025 à 15:34
Cory Doctorow
Last night, I gave a speech for the University of Washington's "Neuroscience, AI and Society" lecture series, through the university's Computational Neuroscience Center. It was called "The Reverse Centaur’s Guide to Criticizing AI," and it's based on the manuscript for my next book, "The Reverse Centaur’s Guide to Life After AI," which will be out from Farrar, Straus and Giroux next June:
The talk was sold out, but here's the text of my lecture. I'm very grateful to UW for the opportunity, and for a lovely visit to Seattle!
==
I'm a science fiction writer, which means that my job is to make up futuristic parables about our current techno-social arrangements to interrogate not just what a gadget does, but who it does it for, and who it does it to.
What I don't do is predict the future. No one can predict the future, which is a good thing, since if the future were predictable, that would mean that what we all do couldn't change it. It would mean that the future was arriving on fixed rails and couldn't be steered.
Jesus Christ, what a miserable proposition!
Now, not everyone understands the distinction. They think sf writers are oracles, soothsayers. Unfortunately, even some of my colleagues labor under the delusion that they can "see the future."
But for every sf writer who deludes themselves into thinking that they are writing the future, there are a hundred sf fans who believe that they are reading the future, and a depressing number of those people appear to have become AI bros. The fact that these guys can't shut up about the day that their spicy autocomplete machine will wake up and turn us all into paperclips has led many confused journalists and conference organizers to try to get me to comment on the future of AI.
That's a thing I strenuously resisted doing, because I wasted two years of my life explaining patiently and repeatedly why I thought crypto was stupid, and getting relentless bollocked by cryptocurrency cultists who at first insisted that I just didn't understand crypto. And then, when I made it clear that I did understand crypto, insisted that I must be a paid shill.
This is literally what happens when you argue with Scientologists, and life is Just. Too. Short.
So I didn't want to get lured into another one of those quagmires, because on the one hand, I just don't think AI is that important of a technology, and on the other hand, I have very nuanced and complicated views about what's wrong, and not wrong, about AI, and it takes a long time to explain that stuff.
But people wouldn't stop asking, so I did what I always do. I wrote a book.
Over the summer I wrote a book about what I think about AI, which is really about what I think about AI criticism, and more specifically, how to be a good AI critic. By which I mean: "How to be a critic whose criticism inflicts maximum damage on the parts of AI that are doing the most harm." I titled the book The Reverse Centaur's Guide to Life After AI, and Farrar, Straus and Giroux will publish it in June, 2026.
But you don't have to wait until then because I am going to break down the entire book's thesis for you tonight, over the next 40 minutes. I am going to talk fast.
#
Start with what a reverse centaur is. In automation theory, a "centaur" is a person who is assisted by a machine. You're a human head being carried around on a tireless robot body. Driving a car makes you a centaur, and so does using autocomplete.
And obviously, a reverse centaur is machine head on a human body, a person who is serving as a squishy meat appendage for an uncaring machine.
Like an Amazon delivery driver, who sits in a cabin surrounded by AI cameras, that monitor the driver's eyes and take points off if the driver looks in a proscribed direction, and monitors the driver's mouth because singing isn't allowed on the job, and rats the driver out to the boss if they don't make quota.
The driver is in that van because the van can't drive itself and can't get a parcel from the curb to your porch. The driver is a peripheral for a van, and the van drives the driver, at superhuman speed, demanding superhuman endurance. But the driver is human, so the van doesn't just use the driver. The van uses the driver up.
Obviously, it's nice to be a centaur, and it's horrible to be a reverse centaur. There are lots of AI tools that are potentially very centaur-like, but my thesis is that these tools are created and funded for the express purpose of creating reverse-centaurs, which is something none of us want to be.
But like I said, the job of an sf writer is to do more than think about what the gadget does, and drill down on who the gadget does it for and who the gadget does it to. Tech bosses want us to believe that there is only one way a technology can be used. Mark Zuckerberg wants you to think that it's technologically impossible to have a conversation with a friend without him listening in. Tim Cook wants you to think that it's technologically impossible for you to have a reliable computing experience unless he gets a veto over which software you install and without him taking 30 cents out of every dollar you spend. Sundar Pichai wants you think that it's impossible for you to find a webpage unless he gets to spy on you from asshole to appetite.
This is all a kind of vulgar Thatcherism. Margaret Thatcher's mantra was "There is no alternative." She repeated this so often they called her "TINA" Thatcher: There. Is. No. Alternative. TINA.
"There is no alternative" is a cheap rhetorical slight. It's a demand dressed up as an observation. "There is no alternative" means "STOP TRYING TO THINK OF AN ALTERNATIVE." Which, you know, fuck that.
I'm an sf writer, my job is to think of a dozen alternatives before breakfast.
So let me explain what I think is going on here with this AI bubble, and sort out the bullshit from the material reality, and explain how I think we could and should all be better AI critics.
#
Start with monopolies: tech companies are gigantic and they don't compete, they just take over whole sectors, either on their own or in cartels.
Google and Meta control the ad market. Google and Apple control the mobile market, and Google pays Apple more than $20 billion/year not to make a competing search engine, and of course, Google has a 90% Search market-share.
Now, you'd think that this was good news for the tech companies, owning their whole sector.
But it's actually a crisis. You see, when a company is growing, it is a "growth stock," and investors really like growth stocks. When you buy a share in a growth stock, you're making a bet that it will continue to grow. So growth stocks trade at a huge multiple of their earnings. This is called the "price to earnings ratio" or "P/E ratio."
But once a company stops growing, it is a "mature" stock, and it trades at a much lower P/E ratio. So for every dollar that Target – a mature company – brings in, it is worth ten dollars. It has a P/E ratio of 10, while Amazon has a P/E ratio of 36, which means that for every dollar Amazon brings in, the market values it at $36.
It's wonderful to run a company that's got a growth stock. Your shares are as good as money. If you want to buy another company, or hire a key worker, you can offer stock instead of cash. And stock is very easy for companies to get, because shares are manufactured right there on the premises, all you have to do is type some zeroes into a spreadsheet, while dollars are much harder to come by. A company can only get dollars from customers or creditors.
So when Amazon bids against Target for a key acquisition, or a key hire, Amazon can bid with shares they make by typing zeroes into a spreadsheet, and Target can only bid with dollars they get from selling stuff to us, or taking out loans, which is why Amazon generally wins those bidding wars.
That's the upside of having a growth stock. But here's the downside: eventually a company has to stop growing. Like, say you get a 90% market share in your sector, how are you gonna grow?
Once the market decides that you aren't a growth stock, once you become mature, your stock is revalued, to a P/E ratio befitting a mature stock.
If you are an exec at a dominant company with a growth stock, you have to live in constant fear that the market will decide that you're not likely to grow any further. Think of what happened to Facebook in the first quarter of 2022. They told investors that they experienced slightly slower growth in the USA than they had anticipated, and investors panicked. They staged a one-day, $240B sell off. A quarter-trillion dollars in 24 hours! At the time, it was the largest, most precipitous drop in corporate valuation in human history.
That's a monopolist's worst nightmare, because once you're presiding over a "mature" firm, the key employees you've been compensating with stock, experience a precipitous pay-drop and bolt for the exits, so you lose the people who might help you grow again, and you can only hire their replacements with dollars. With dollars, not shares.
And the same goes for acquiring companies that might help you grow, because they, too, are going to expect money, not stock. This is the paradox of the growth stock. While you are growing to domination, the market loves you, but once you achieve dominance, the market lops 75% or more off your value in a single stroke if they don't trust your pricing power.
Which is why growth stock companies are always desperately pumping up one bubble or another, spending billions to hype the pivot to video, or cryptocurrency, or NFTs, or Metaverse, or AI.
I'm not saying that tech bosses are making bets they don't plan on winning. But I am saying that winning the bet – creating a viable metaverse – is the secondary goal. The primary goal is to keep the market convinced that your company will continue to grow, and to remain convinced until the next bubble comes along.
So this is why they're hyping AI: the material basis for the hundreds of billions in AI investment.
#
Now I want to talk about how they're selling AI. The growth narrative of AI is that AI will disrupt labor markets. I use "disrupt" here in its most disreputable, tech bro sense.
The promise of AI – the promise AI companies make to investors – is that there will be AIs that can do your job, and when your boss fires you and replaces you with AI, he will keep half of your salary for himself, and give the other half to the AI company.
That's it.
That's the $13T growth story that MorganStanley is telling. It's why big investors and institutionals are giving AI companies hundreds of billions of dollars. And because they are piling in, normies are also getting sucked in, risking their retirement savings and their family's financial security.
Now, if AI could do your job, this would still be a problem. We'd have to figure out what to do with all these technologically unemployed people.
But AI can't do your job. It can help you do your job, but that doesn't mean it's going to save anyone money. Take radiology: there's some evidence that AIs can sometimes identify solid-mass tumors that some radiologists miss, and look, I've got cancer. Thankfully, it's very treatable, but I've got an interest in radiology being as reliable and accurate as possible.
If my Kaiser hospital bought some AI radiology tools and told its radiologists: "Hey folks, here's the deal. Today, you're processing about 100 x-rays per day. From now on, we're going to get an instantaneous second opinion from the AI, and if the AI thinks you've missed a tumor, we want you to go back and have another look, even if that means you're only processing 98 x-rays per day. That's fine, we just care about finding all those tumors."
If that's what they said, I'd be delighted. But no one is investing hundreds of billions in AI companies because they think AI will make radiology more expensive, not even if that also makes radiology more accurate. The market's bet on AI is that an AI salesman will visit the CEO of Kaiser and make this pitch: "Look, you fire 9/10s of your radiologists, saving $20m/year, you give us $10m/year, and you net $10m/year, and the remaining radiologists' job will be to oversee the diagnoses the AI makes at superhuman speed, and somehow remain vigilant as they do so, despite the fact that the AI is usually right, except when it's catastrophically wrong.
"And if the AI misses a tumor, this will be the human radiologist's fault, because they are the 'human in the loop.' It's their signature on the diagnosis."
This is a reverse centaur, and it's a specific kind of reverse-centaur: it's what Dan Davies calls an "accountability sink." The radiologist's job isn't really to oversee the AI's work, it's to take the blame for the AI's mistakes.
This is another key to understanding – and thus deflating – the AI bubble. The AI can't do your job, but an AI salesman can convince your boss to fire you and replace you with an AI that can't do your job. This is key because it helps us build the kinds of coalitions that will be successful in the fight against the AI bubble.
If you're someone who's worried about cancer, and you're being told that the price of making radiology too cheap to meter, is that we're going to have to re-home America's 32,000 radiologists, with the trade-off that no one will ever be denied radiology services again, you might say, "Well, OK, I'm sorry for those radiologists, and I fully support getting them job training or UBI or whatever. But the point of radiology is to fight cancer, not to pay radiologists, so I know what side I'm on."
AI hucksters and their customers in the C-suites want the public on their side. They want to forge a class alliance between AI deployers and the people who enjoy the fruits of the reverse centaurs' labor. They want us to think of ourselves as enemies to the workers.
Now, some people will be on the workers' side because of politics or aesthetics. They just like workers better than their bosses. But if you want to win over all the people who benefit from your labor, you need to understand and stress how the products of the AI will be substandard. That they are going to get charged more for worse things. That they have a shared material interest with you.
Will those products be substandard? There's every reason to think so. Earlier, I alluded to "automation blindness, "the physical impossibility of remaining vigilant for things that rarely occur. This is why TSA agents are incredibly good at spotting water bottles. Because they get a ton of practice at this, all day, every day. And why they fail to spot the guns and bombs that government red teams smuggle through checkpoints to see how well they work, because they just don't have any practice at that. Because, to a first approximation, no one deliberately brings a gun or a bomb through a TSA checkpoint.
Automation blindness is the Achilles' heel of "humans in the loop."
Think of AI software generation: there are plenty of coders who love using AI, and almost without exception, they are senior, experienced coders, who get to decide how they will use these tools. For example, you might ask the AI to generate a set of CSS files to faithfully render a web-page across multiple versions of multiple browsers. This is a notoriously fiddly thing to do, and it's pretty easy to verify if the code works – just eyeball it in a bunch of browsers. Or maybe the coder has a single data file they need to import and they don't want to write a whole utility to convert it.
Tasks like these can genuinely make coders more efficient and give them more time to do the fun part of coding, namely, solving really gnarly, abstract puzzles. But when you listen to business leaders talk about their AI plans for coders, it's clear they're not looking to make some centaurs.
They want to fire a lot of tech workers – 500,000 over the past three years – and make the rest pick up their work with coding, which is only possible if you let the AI do all the gnarly, creative problem solving, and then you do the most boring, soul-crushing part of the job: reviewing the AIs' code.
And because AI is just a word guessing program, because all it does is calculate the most probable word to go next, the errors it makes are especially subtle and hard to spot, because these bugs are literally statistically indistinguishable from working code (except that they're bugs).
Here's an example: code libraries are standard utilities that programmers can incorporate into their apps, so they don't have to do a bunch of repetitive programming. Like, if you want to process some text, you'll use a standard library. If it's an HTML file, that library might be called something like lib.html.text.parsing; and if it's a DOCX file, it'll be lib.docx.text.parsing. But reality is messy, humans are inattentive and stuff goes wrong, so sometimes, there's another library, this one for parsing PDFs, and instead of being called lib.pdf.text.parsing, it's called lib.text.pdf.parsing.
Now, because the AI is a statistical inference engine, because all it can do is predict what word will come next based on all the words that have been typed in the past, it will "hallucinate" a library called lib.pdf.text.parsing. And the thing is, malicious hackers know that the AI will make this error, so they will go out and create a library with the predictable, hallucinated name, and that library will get automatically sucked into your program, and it will do things like steal user data or try and penetrate other computers on the same network.
And you, the human in the loop – the reverse centaur – you have to spot this subtle, hard to find error, this bug that is literally statistically indistinguishable from correct code. Now, maybe a senior coder could catch this, because they've been around the block a few times, and they know about this tripwire.
But guess who tech bosses want to preferentially fire and replace with AI? Senior coders. Those mouthy, entitled, extremely highly paid workers, who don't think of themselves as workers. Who see themselves as founders in waiting, peers of the company's top management. The kind of coder who'd lead a walkout over the company building drone-targeting systems for the Pentagon, which cost Google ten billion dollars in 2018.
For AI to be valuable, it has to replace high-wage workers, and those are precisely the experienced workers, with process knowledge, and hard-won intuition, who might spot some of those statistically camouflaged AI errors.
Like I said, the point here is to replace high-waged workers.
And one of the reasons the AI companies are so anxious to fire coders is that coders are the princes of labor. They're the most consistently privileged, sought-after, and well-compensated workers in the labor force.
If you can replace coders with AI, who cant you replace with AI? Firing coders is an ad for AI.
Which brings me to AI art. AI art – or "art" – is also an ad for AI, but it's not part of AI's business model.
Let me explain: on average, illustrators don't make any money. They are already one of the most immiserated, precartized groups of workers out there. They suffer from a pathology called "vocational awe." That's a term coined by the librarian Fobazi Ettarh, and it refers to workers who are vulnerable to workplace exploitation because they actually care about their jobs – nurses, librarians, teachers, and artists.
If AI image generators put every illustrator working today out of a job, the resulting wage-bill savings would be undetectable as a proportion of all the costs associated with training and operating image-generators. The total wage bill for commercial illustrators is less than the kombucha bill for the company cafeteria at just one of Open AI's campuses.
The purpose of AI art – and the story of AI art as a death-knell for artists – is to convince the broad public that AI is amazing and will do amazing things. It's to create buzz. Which is not to say that it's not disgusting that former OpenAI CTO Mira Murati told a conference audience that "some creative jobs shouldn't have been there in the first place," and that it's not especially disgusting that she and her colleagues boast about using the work of artists to ruin those artists' livelihoods.
It's supposed to be disgusting. It's supposed to get artists to run around and say, "The AI can do my job, and it's going to steal my job, and isn't that terrible?"
Because the customers for AI – corporate bosses – don't see AI taking workers' jobs as terrible. They see it as wonderful.
But can AI do an illustrator's job? Or any artist's job?
Let's think about that for a second. I've been a working artist since I was 17 years old, when I sold my first short story, and I've given it a lot of thought, and here's what I think art is: it starts with an artist, who has some vast, complex, numinous, irreducible feeling in their mind. And the artist infuses that feeling into some artistic medium. They make a song, or a poem, or a painting, or a drawing, or a dance, or a book, or a photograph. And the idea is, when you experience this work, a facsimile of the big, numinous, irreducible feeling will materialize in your mind.
Now that I've defined art, we have to go on a little detour.
I have a friend who's a law professor, and before the rise of chatbots, law students knew better than to ask for reference letters from their profs, unless they were a really good student. Because those letters were a pain in the ass to write. So if you advertised for a postdoc and you heard from a candidate with a reference letter from a respected prof, the mere existence of that letter told you that the prof really thought highly of that student.
But then we got chatbots, and everyone knows that you generate a reference letter by feeding three bullet points to an LLM, and it'll barf up five paragraphs of florid nonsense about the student.
So when my friend advertises for a postdoc, they are flooded with reference letters, and they deal with this flood by feeding all these letters to another chatbot, and ask it to reduce them back to three bullet points. Now, obviously, they won't be the same bullet-points, which makes this whole thing terrible.
But just as obviously, nothing in that five-paragraph letter except the original three bullet points are relevant to the student. The chatbot doesn't know the student. It doesn't know anything about them. It cannot add a single true or useful statement about the student to the letter.
What does this have to do with AI art? Art is a transfer of a big, numinous, irreducible feeling from an artist to someone else. But the image-gen program doesn't know anything about your big, numinous, irreducible feeling. The only thing it knows is whatever you put into your prompt, and those few sentences are diluted across a million pixels or a hundred thousand words, so that the average communicative density of the resulting work is indistinguishable from zero.
It's possible to infuse more communicative intent into a work: writing more detailed prompts, or doing the selective work of choosing from among many variants, or directly tinkering with the AI image after the fact, with a paintbrush or Photoshop or The Gimp. And if there will ever be a piece of AI art that is good art – as opposed to merely striking, or interesting, or an example of good draftsmanship – it will be thanks to those additional infusions of creative intent by a human.
And in the meantime, it's bad art. It's bad art in the sense of being "eerie," the word Mark Fisher uses to describe "when there is something present where there should be nothing, or there is nothing present when there should be something."
AI art is eerie because it seems like there is an intender and an intention behind every word and every pixel, because we have a lifetime of experience that tells us that paintings have painters, and writing has writers. But it's missing something. It has nothing to say, or whatever it has to say is so diluted that it's undetectable.
The images were striking before we figured out the trick, but now they're just like the images we imagine in clouds or piles of leaves. We're the ones drawing a frame around part of the scene, we're the ones focusing on some contours and ignoring the others. We're looking at an inkblot, and it's not telling us anything.
Sometimes that can be visually arresting, and to the extent that it amuses people in a community of prompters and viewers, that's harmless.
I know someone who plays a weekly Dungeons and Dragons game over Zoom. It's transcribed by an open source model running locally on the dungeon master's computer, which summarizes the night's session and prompts an image generator to create illustrations of key moments. These summaries and images are hilarious because they're full of errors. It's a bit of harmless fun, and it bring a small amount of additional pleasure to a small group of people. No one is going to fire an illustrator because D&D players are image-genning funny illustrations where seven-fingered paladins wrestle with orcs that have an extra hand.
But bosses have and will fire illustrators, because they fantasize about being able to dispense with creative professionals and just prompt an AI. Because even though the AI can't do the illustrator's job, an AI salesman can convince the illustrator's boss to fire them and replace them with an AI that can't do their job.
This is a disgusting and terrible juncture, and we should not simply shrug our shoulders and accept Thatcherism's fatalism: "There is no alternative."
So what is the alternative? A lot of artists and their allies think they have an answer: they say we should extend copyright to cover the activities associated with training a model.
And I'm here to tell you they are wrong: wrong because this would inflict terrible collateral damage on socially beneficial activities, and it would represent a massive expansion of copyright over activities that are currently permitted – for good reason!.
Let's break down the steps in AI training.
First, you scrape a bunch of web-pages. This is unambiguously legal under present copyright law. You do not need a license to make a transient copy of a copyrighted work in order to analyze it, otherwise search engines would be illegal. Ban scraping and Google will be the last search engine we ever get, the Internet Archive will go out of business, that guy in Austria who scraped all the grocery store sites and proved that the big chains were colluding to rig prices would be in deep trouble.
Next, you perform analysis on those works. Basically, you count stuff on them: count pixels and their colors and proximity to other pixels; or count words. This is obviously not something you need a license for. It's just not illegal to count the elements of a copyrighted work. And we really don't want it to be, not if you're interested in scholarship of any kind.
And it's important to note that counting things is legal, even if you're working from an illegally obtained copy. Like, if you go to the flea market, and you buy a bootleg music CD, and you take it home and you make a list of all the adverbs in the lyrics, and you publish that list, you are not infringing copyright by doing so.
Perhaps you've infringed copyright by getting the pirated CD, but not by counting the lyrics.
This is why Anthropic offered a $1.5b settlement for training its models based on a ton of books it downloaded from a pirate site: not because counting the words in the books infringes anyone's rights, but because they were worried that they were going to get hit with $150k/book statutory damages for downloading the files.
OK, after you count all the pixels or the words, it's time for the final step: publishing them. Because that's what a model is: a literary work (that is, a piece of software) that embodies a bunch of facts about a bunch of other works, word and pixel distribution information, encoded in a multidimensional array.
And again, copyright absolutely does not prohibit you from publishing facts about copyrighted works. And again, no one should want to live in a world where someone else gets to decide which truthful, factual statements you can publish.
But hey, maybe you think this is all sophistry. Maybe you think I'm full of shit. That's fine. It wouldn't be the first time someone thought that.
After all, even if I'm right about how copyright works now, there's no reason we couldn't change copyright to ban training activities, and maybe there's even a clever way to wordsmith the law so that it only catches bad things we don't like, and not all the good stuff that comes from scraping, analyzing and publishing.
Well, even then, you're not gonna help out creators by creating this new copyright. If you're thinking that you can, you need to grapple with this fact: we have monotonically expanded copyright since 1976, so that today, copyright covers more kinds of works, grants exclusive rights over more uses, and lasts longer.
And today, the media industry is larger and more profitable than it has ever been, and also: the share of media industry income that goes to creative workers is lower than its ever been, both in real terms, and as a proportion of those incredible gains made by creators' bosses at the media company.
So how it is that we have given all these new rights to creators, and those new rights have generated untold billions, and left creators poorer? It's because in a creative market dominated by five publishers, four studios, three labels, two mobile app stores, and a single company that controls all the ebooks and audiobooks, giving a creative worker extra rights to bargain with is like giving your bullied kid more lunch money.
It doesn't matter how much lunch money you give the kid, the bullies will take it all. Give that kid enough money and the bullies will hire an agency to run a global campaign proclaiming "think of the hungry kids! Give them more lunch money!"
Creative workers who cheer on lawsuits by the big studios and labels need to remember the first rule of class warfare: things that are good for your boss are rarely what's good for you.
The day Disney and Universal filed suit against Midjourney, I got a press release from the RIAA, which represents Disney and Universal through their recording arms. Universal is the largest label in the world. Together with Sony and Warner, they control 70% of all music recordings in copyright today.
It starts: "There is a clear path forward through partnerships that both further AI innovation and foster human artistry."
It ends: "This action by Disney and Universal represents a critical stand for human creativity and responsible innovation."
And it's signed by Mitch Glazier, CEO of the RIAA.
It's very likely that name doesn't mean anything to you. But let me tell you who Mitch Glazier is. Today, Mitch Glazier is the CEO if the RIAA, with an annual salary of $1.3m. But until 1999, Mitch Glazier was a key Congressional staffer, and in 1999, Glazier snuck an amendment into an unrelated bill, the Satellite Home Viewer Improvement Act, that killed musicians' right to take their recordings back from their labels.
This is a practice that had been especially important to "heritage acts" (which is a record industry euphemism for "old music recorded by Black people"), for whom this right represented the difference between making rent and ending up on the street.
When it became clear that Glazier had pulled this musician-impoverishing scam, there was so much public outcry, that Congress actually came back for a special session, just to vote again to cancel Glazier's amendment. And then Glazier was kicked out of his cushy Congressional job, whereupon the RIAA started paying more than $1m/year to "represent the music industry."
This is the guy who signed that press release in my inbox. And his message was: The problem isn't that Midjourney wants to train a Gen AI model on copyrighted works, and then use that model to put artists on the breadline. The problem is that Midjourney didn't pay RIAA members Universal and Disney for permission to train a model. Because if only Midjourney had given Disney and Universal several million dollars for training rights to their catalogs, the companies would have happily allowed them to train to their heart's content, and they would have bought the resulting models, and fired as many creative professionals as they could.
I mean, have we already forgotten the Hollywood strikes? I sure haven't. I live in Burbank, home to Disney, Universal and Warner, and I was out on the line with my comrades from the Writers Guild, offering solidarity on behalf of my union, IATSE 830, The Animation Guild, where I'm a member of the writers' unit.
And I'll never forget when one writer turned to me and said, "You know, you prompt an LLM exactly the same way an exec gives shitty notes to a writers' room. You know: 'Make me ET, except it's about a dog, and put a love interest in there, and a car chase in the second act.' The difference is, you say that to a writers' room and they all make fun of you and call you a fucking idiot suit. But you say it to an LLM and it will cheerfully shit out a terrible script that conforms exactly to that spec (you know, Air Bud)."
These companies are desperate to use AI to displace workers. When Getty Images sues AI companies, it's not representing the interests of photographers. Getty hates paying photographers! Getty just wants to get paid for the training run, and they want the resulting AI model to have guardrails, so it will refuse to create images that compete with Getty's images for anyone except Getty. But Getty will absolutely use its models to bankrupt as many photographers as it possibly can.
A new copyright to train models won't get us a world where models aren't used to destroy artists, it'll just get us a world where the standard contracts of the handful of companies that control all creative labor markets are updated to require us to hand over those new training rights to those companies. Demanding a new copyright just makes you a useful idiot for your boss, a human shield they can brandish in policy fights, a tissue-thin pretense of "won't someone think of the hungry artists?"
When really what they're demanding is a world where 30% of the investment capital of the AI companies go into their shareholders' pockets. When an artist is being devoured by rapacious monopolies, does it matter how they divvy up the meal?
We need to protect artists from AI predation, not just create a new way for artists to be mad about their impoverishment.
And incredibly enough, there's a really simple way to do that. After 20+ years of being consistently wrong and terrible for artists' rights, the US Copyright Office has finally done something gloriously, wonderfully right. All through this AI bubble, the Copyright Office has maintained – correctly – that AI-generated works cannot be copyrighted, because copyright is exclusively for humans. That's why the "monkey selfie" is in the public domain. Copyright is only awarded to works of human creative expression that are fixed in a tangible medium.
And not only has the Copyright Office taken this position, they've defended it vigorously in court, repeatedly winning judgments to uphold this principle.
The fact that every AI created work is in the public domain means that if Getty or Disney or Universal or Hearst newspapers use AI to generate works – then anyone else can take those works, copy them, sell them, or give them away for free. And the only thing those companies hate more than paying creative workers, is having other people take their stuff without permission.
The US Copyright Office's position means that the only way these companies can get a copyright is to pay humans to do creative work. This is a recipe for centaurhood. If you're a visual artist or writer who uses prompts to come up with ideas or variations, that's no problem, because the ultimate work comes from you. And if you're a video editor who uses deepfakes to change the eyelines of 200 extras in a crowd-scene, then sure, those eyeballs are in the public domain, but the movie stays copyrighted.
But creative workers don't have to rely on the US government to rescue us from AI predators. We can do it ourselves, the way the writers did in their historic writers' strike. The writers brought the studios to their knees. They did it because they are organized and solidaristic, but also are allowed to do something that virtually no other workers are allowed to do: they can engage in "sectoral bargaining," whereby all the workers in a sector can negotiate a contract with every employer in the sector.
That's been illegal for most workers since the late 1940s, when the Taft-Hartley Act outlawed it. If we are gonna campaign to get a new law passed in hopes of making more money and having more control over our labor, we should campaign to restore sectoral bargaining, not to expand copyright.
Our allies in a campaign to expand copyright are our bosses, who have never had our best interests at heart. While our allies in the fight for sector bargaining are every worker in the country. As the song goes, "Which side are you on?"
OK, I need to bring this talk in for a landing now, because I'm out of time, so I'm going to close out with this: AI is a bubble and bubbles are terrible.
Bubbles transfer the life's savings of normal people who are just trying to have a dignified retirement to the wealthiest and most unethical people in our society, and every bubble eventually bursts, taking their savings with it.
But not every bubble is created equal. Some bubbles leave behind something productive. Worldcom stole billions from everyday people by defrauding them about orders for fiber optic cables. The CEO went to prison and died there. But the fiber outlived him. It's still in the ground. At my home, I've got 2gb symmetrical fiber, because AT&T lit up some of that old Worldcom dark fiber.
All things being equal, it would have been better if Worldcom hadn't ever existed, but the only thing worse than Worldcom committing all that ghastly fraud would be if there was nothing to salvage from the wreckage.
I don't think we'll salvage much from cryptocurrency, for example. Sure, there'll be a few coders who've learned something about secure programming in Rust. But when crypto dies, what it will leave behind is bad Austrian economics and worse monkey JPEGs.
AI is a bubble and it will burst. Most of the companies will fail. Most of the data-centers will be shuttered or sold for parts. So what will be left behind?
We'll have a bunch of coders who are really good at applied statistics. We'll have a lot of cheap GPUs, which'll be good news for, say, effects artists and climate scientists, who'll be able to buy that critical hardware at pennies on the dollar. And we'll have the open source models that run on commodity hardware, AI tools that can do a lot of useful stuff, like transcribing audio and video, describing images, summarizing documents, automating a lot of labor-intensive graphic editing, like removing backgrounds, or airbrushing passersby out of photos. These will run on our laptops and phones, and open source hackers will find ways to push them to do things their makers never dreamt of.
If there had never been an AI bubble, if all this stuff arose merely because computer scientists and product managers noodled around for a few years coming up with cool new apps for back-propagation, machine learning and generative adversarial networks, most people would have been pleasantly surprised with these interesting new things their computers could do. We'd call them "plugins."
It's the bubble that sucks, not these applications. The bubble doesn't want cheap useful things. It wants expensive, "disruptive" things: Big foundation models that lose billions of dollars every year.
When the AI investment mania halts, most of those models are going to disappear, because it just won't be economical to keep the data-centers running. As Stein's Law has it: "Anything that can't go on forever eventually stops."
The collapse of the AI bubble is going to be ugly. Seven AI companies currently account for more than a third of the stock market, and they endlessly pass around the same $100b IOU.
Bosses are mass-firing productive workers and replacing them with janky AI, and when the janky AI is gone, no one will be able to find and re-hire most of those workers, we're going to go from disfunctional AI systems to nothing.
AI is the asbestos in the walls of our technological society, stuffed there with wild abandon by a finance sector and tech monopolists run amok. We will be excavating it for a generation or more.
So we need to get rid of this bubble. Pop it, as quickly as we can. To do that, we have to focus on the material factors driving the bubble. The bubble isn't being driven by deepfake porn, or election disinformation, or AI image-gen, or slop advertising.
All that stuff is terrible and harmful, but it's not driving investment. The total dollar figure represented by these apps doesn't come close to making a dent in the capital expenditures and operating costs of AI. They are peripheral, residual uses: flashy, but unimportant to the bubble.
Get rid of all those uses and you reduce the expected income of AI companies by a sum so small it rounds to zero.
Same goes for all that "AI Safety" nonsense, that purports to concern itself with preventing an AI from attaining sentience and turning us all into paperclips. First of all, this is facially absurd. Throwing more words and GPUs into the word-guessing program won't make it sentient. That's like saying, "Well, we keep breeding these horses to run faster and faster, so it's only a matter of time until one of our mares gives birth to a locomotive." A human mind is not a word-guessing program with a lot of extra words.
I'm here for science fiction thought experiments, don't get me wrong. But also, don't mistake sf for prophesy. SF stories about superintelligence are futuristic parables, not business plans, roadmaps, or predictions.
The AI Safety people say they are worried that AI is going to end the world, but AI bosses love these weirdos. Because on the one hand, if AI is powerful enough to destroy the world, think of how much money it can make! And on the other hand, no AI business plan has a line on its revenue projections spreadsheet labeled "Income from turning the human race into paperclips." So even if we ban AI companies from doing this, we won't cost them a dime in investment capital.
To pop the bubble, we have to hammer on the forces that created the bubble: the myth that AI can do your job, especially if you get high wages that your boss can claw back; the understanding that growth companies need a succession of ever-more-outlandish bubbles to stay alive; the fact that workers and the public they serve are on one side of this fight, and bosses and their investors are on the other side.
Because the AI bubble really is very bad news, it's worth fighting seriously, and a serious fight against AI strikes at its roots: the material factors fueling the hundreds of billions in wasted capital that are being spent to put us all on the breadline and fill all our walls with high-tech asbestos.
(Image: Cryteria, CC BY 3.0, modified)

An Analysis of the Proposed Spirit Financial-Credit Union 1 Merger. The Consequences for the Credit Union System https://chipfilson.com/2025/12/an-analysis-of-the-proposed-spirit-financal-credit-union-1-merger/
Zillow deletes climate risk data from listings after complaints it harms sales https://www.theguardian.com/environment/2025/dec/01/zillow-removes-climate-risk-data-home-listings
After Years of Controversy, the EU’s Chat Control Nears Its Final Hurdle: What to Know https://www.eff.org/deeplinks/2025/12/after-years-controversy-eus-chat-control-nears-its-final-hurdle-what-know
How the dollar-store industry overcharges cash-strapped customers while promising low prices https://www.theguardian.com/us-news/2025/dec/03/customers-pay-more-rising-dollar-store-costs
#20yrsago Haunted Mansion papercraft model adds crypts and gates https://www.haunteddimensions.raykeim.com/index313.html
#20yrsago Print your own Monopoly money https://web.archive.org/web/20051202030047/http://www.hasbro.com/monopoly/pl/page.treasurechest/dn/default.cfm
#15yrsago Bunnie explains the technical intricacies and legalities of Xbox hacking https://www.bunniestudios.com/blog/2010/usa-v-crippen-a-retrospective/
#15yrsago How Pac Man’s ghosts decide what to do: elegant complexity https://web.archive.org/web/20101205044323/https://gameinternals.com/post/2072558330/understanding-pac-man-ghost-behavior
#15yrsago Glorious, elaborate, profane insults of the world https://www.reddit.com/r/AskReddit/comments/efee7/what_are_your_favorite_culturally_untranslateable/?sort=confidence
#15yrsago Walt Disney World castmembers speak about their search for a living wage https://www.youtube.com/watch?v=f5BMQ3xQc7o
#15yrsago Wikileaks cables reveal that the US wrote Spain’s proposed copyright law https://web.archive.org/web/20140723230745/https://elpais.com/elpais/2010/12/03/actualidad/1291367868_850215.html
#15yrsago Cities made of broken technology https://web.archive.org/web/20101203132915/https://agora-gallery.com/artistpage/Franco_Recchia.aspx
#10yrsago The TPP’s ban on source-code disclosure requirements: bad news for information security https://www.eff.org/deeplinks/2015/12/tpp-threatens-security-and-safety-locking-down-us-policy-source-code-audit
#10yrsago Fossil fuel divestment sit-in at MIT President’s office hits 10,000,000,000-hour mark https://twitter.com/FossilFreeMIT/status/672526210581274624
#10yrsago Hacker dumps United Arab Emirates Invest Bank’s customer data https://www.dailydot.com/news/invest-bank-hacker-buba/
#10yrsago Illinois prisons spy on prisoners, sue them for rent on their cells if they have any money https://www.chicagotribune.com/2015/11/30/state-sues-prisoners-to-pay-for-their-room-board/
#10yrsago Free usability help for privacy toolmakers https://superbloom.design/learning/blog/apply-for-help/
#10yrsago In the first 334 days of 2015, America has seen 351 mass shootings (and counting) https://web.archive.org/web/20151209004329/https://www.washingtonpost.com/news/wonk/wp/2015/11/30/there-have-been-334-days-and-351-mass-shootings-so-far-this-year/
#10yrsago Not even the scapegoats will go to jail for BP’s murder of the Gulf Coast https://arstechnica.com/tech-policy/2015/12/manslaughter-charges-dropped-in-bp-spill-case-nobody-from-bp-will-go-to-prison/
#10yrsago Urban Transport Without the Hot Air: confusing the issue with relevant facts! https://memex.craphound.com/2015/12/03/urban-transport-without-the-hot-air-confusing-the-issue-with-relevant-facts/
#5yrsago Breathtaking Iphone hack https://pluralistic.net/2020/12/03/ministry-for-the-future/#awdl
#5yrsago Graffitists hit dozens of NYC subway cars https://pluralistic.net/2020/12/03/ministry-for-the-future/#getting-up
#5yrsago The Ministry For the Future https://pluralistic.net/2020/12/03/ministry-for-the-future/#ksr
#5yrsago Monopolies made America vulnerable to covid https://pluralistic.net/2020/12/03/ministry-for-the-future/#big-health
#5yrsago Section 230 is Good, Actually https://pluralistic.net/2020/12/04/kawaski-trawick/#230
#5yrsago Postmortem of the NYPD's murder of a Black man https://pluralistic.net/2020/12/04/kawaski-trawick/#Kawaski-Trawick
#5yrsago Student debt trap https://pluralistic.net/2020/12/04/kawaski-trawick/#strike-debt
#1yrago "That Makes Me Smart" https://pluralistic.net/2024/12/04/its-not-a-lie/#its-a-premature-truth
#1yrago Canada sues Google https://pluralistic.net/2024/12/03/clementsy/#can-tech

Madison, CT: Enshittification at RJ Julia, Dec 8
https://rjjulia.com/event/2025-12-08/cory-doctorow-enshittification
Hamburg: Chaos Communications Congress, Dec 27-30
https://events.ccc.de/congress/2025/infos/index.html
Denver: Enshittification at Tattered Cover Colfax, Jan 22
https://www.eventbrite.com/e/cory-doctorow-live-at-tattered-cover-colfax-tickets-1976644174937
We have become slaves to Silicon Valley (Politics JOE)
https://www.youtube.com/watch?v=JzEUvh1r5-w
How Enshittification is Destroying The Internet (Frontline Club)
https://www.youtube.com/watch?v=oovsyzB9L-s
Escape Forward with Cristina Caffarra
https://escape-forward.com/2025/11/27/enshittification-of-our-digital-experience/
Why Every Platform Betrays You (Trust Revolution)
https://fountain.fm/episode/bJgdt0hJAnppEve6Qmt8
"Enshittification: Why Everything Suddenly Got Worse and What to Do About It," Farrar, Straus, Giroux, October 7 2025
https://us.macmillan.com/books/9780374619329/enshittification/
"Picks and Shovels": a sequel to "Red Team Blues," about the heroic era of the PC, Tor Books (US), Head of Zeus (UK), February 2025 (https://us.macmillan.com/books/9781250865908/picksandshovels).
"The Bezzle": a sequel to "Red Team Blues," about prison-tech and other grifts, Tor Books (US), Head of Zeus (UK), February 2024 (the-bezzle.org).
"The Lost Cause:" a solarpunk novel of hope in the climate emergency, Tor Books (US), Head of Zeus (UK), November 2023 (http://lost-cause.org).
"The Internet Con": A nonfiction book about interoperability and Big Tech (Verso) September 2023 (http://seizethemeansofcomputation.org). Signed copies at Book Soup (https://www.booksoup.com/book/9781804291245).
"Red Team Blues": "A grabby, compulsive thriller that will leave you knowing more about how the world works than you did before." Tor Books http://redteamblues.com.
"Chokepoint Capitalism: How to Beat Big Tech, Tame Big Content, and Get Artists Paid, with Rebecca Giblin", on how to unrig the markets for creative labor, Beacon Press/Scribe 2022 https://chokepointcapitalism.com
"Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2026
"The Memex Method," Farrar, Straus, Giroux, 2026
"The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
Today's top sources:
Currently writing:
"The Post-American Internet," a short book about internet policy in the age of Trumpism. PLANNING.
A Little Brother short story about DIY insulin PLANNING

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