No longer will Americans have to go without delicious and inexpensive industrial dyes in their foodstuffs. The U.S. Food and Drug Administration is reportedly to allow additives to be added to food without safety review so long as they aren't proven to be carcinogenic and introduced at levels below 0.5 parts per billion. — Read the rest

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After four weeks of using the cream, participants lowered the biological age of their skin by about two years on average.

Solar geoengineering could buy humanity time against climate change—or trigger a dangerous new arms race. A first-of-its-kind simulation offered a glimpse of what happens when geopolitics takes the wheel.

Here’s what we know about the record-setting El Niño on a record-hot planet, and the most important questions scientists are trying to answer.

Redwoods adapted to a cool, foggy climate. Now a new study shows they slow down photosynthesis when their environment warms.

The new image isn’t just stunning—it may also provide clues about how this star survived its own explosion.

The data drop includes photographs, audio, video, and astronauts’ notes that will be used to study the moon and prepare for future human missions.

The three-body problem remains unsolved—we can't generally predict the motion of three bodies for all starting conditions using regular maths—but there are many solutions showing periodic orbits given specific conditions. Three Body Orbits is a beautiful "atlas" animating 3,942 of them. — Read the rest

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Castelion—a next-generation defense tech company—is building a facility in Rio Rancho Estates that documents show could pose a major fire and chemical hazard to neighboring communities.

The videos are astonishing. In one scene, a senior Chinese woman appears lost in the wilderness of dementia, unable to answer basic questions; in the next, she seems to be lucidly chatting and shucking beans for dinner. By all appearances, years of cognitive decline had been rapidly reversed after the patient underwent an experimental new surgery.

The only problem is: No one is sure if it’s real. 

It’s difficult to take any video at face value in the age of AI, and this experimental procedure happened in China, a country with a recent history of controversial science touting extraordinary but questionable claims. In the past few years, researchers there have published several papers reporting promising results from a procedure that purports to attack Alzheimer’s disease in a peculiar way: by connecting vessels from the lymph nodes in the neck to nearby veins in an attempt to drain the brain of harmful waste. But these have been small studies that did not include a control group. The doctor who first pioneered the surgery there has reportedly been placed under arrest, and the Chinese government has sought to stop most physicians from performing any more of these operations. 

Is that because it’s a scam? Or because it’s dangerous? Or could it be because there have not yet been proper randomized trials, tested against a placebo, to assess the procedure’s safety and efficacy? There are new studies being planned in China to more rigorously evaluate the surgery.

But scientists elsewhere in the world have a lot of questions. And now, a small group of researchers in the US and Europe are endeavoring to find the answers. Within the next few years, we should know whether this surgery really could be the miracle that the viral videos make it appear to be — or another much-hyped treatment that ultimately fizzles out.

Dr. Adnan Siddiqui, a neurosurgeon at the University at Buffalo who is leading an initial US-based study of this procedure, previously helped develop a new treatment for severe stroke patients. This gave doctors a valuable new technique for treating patients during an emergency, and he told me he saw it rapidly change the standard of care around the world. In an interview, he cautioned that a lot more work needs to be done to assess this proposed new Alzheimer’s treatment — but at the same time, he’s optimistic.

“The whole world’s paradigm changed in literally a blink of an eye. It can happen. And I’m hoping this might be that second home run,” he said. In “2027, we’ll start getting clear signals in one direction or the other. By 2028, 2029, we would know whether this is real or not.”

Why this Alzheimer’s surgery really might work

The promise of this controversial new procedure lies in the lymphatic system, which is essentially the body’s drainage system. According to scientists’ best current theories about Alzheimer’s, the brain’s filtration system gets worse as we age, and as a result, plaque made up of amyloid proteins as well as tangles of tau proteins can accumulate in people’s brains and eventually lead to neurological damage, leading to the severe memory loss of Alzheimer’s disease. Researchers have found evidence that those amyloid and tau proteins also accumulate, not just in the brains, but also in the lymph nodes in older people. 

So could a minimally invasive surgery to improve the brain’s drainage have such a dramatic impact on Alzheimer’s disease? 

Siddiqui, who also runs the Jacobs Institute at the University of Buffalo, which is focused on new technology for vascular and neurological disease, had been interested in the lymphatic system’s role in Alzheimer’s before he ever heard about this experimental work out of China from a colleague years ago. The colleague had gone to see Dr. Qingping Xie, the surgeon who started performing lymphatic surgery on Alzheimer’s patients about six years ago. To investigate further for himself, Siddiqui went to South Korea to meet a plastic surgeon, Dr. Joon Pio Hong, who was performing a new “more refined” version of the same basic procedure, as Siddiqui put it. But as in China, these were not proper randomized experiments. There was no placebo.

So Siddiqui wanted to see if he could test it himself. After performing proof of concept operations in 2025 with a new microrobotic tool (for a rare disorder involving constricted blood vessels in the brain), he and his colleagues decided to take an even bigger swing: testing this new technology to perform the lymphatic surgery for Alzheimer’s.

The researchers applied to the US Food and Drug Administration and received approval late last year for five initial procedures; over the summer, they got the green light to perform the procedure on 15 patients. Several operations have already been performed, and Siddiqui told me he had four more lined up next week.

The mechanism makes superficial sense: If Alzheimer’s is the byproduct of amyloid and tau building up in the brain because the body gets worse at filtering them out, bypassing a clogged “drain” in the lymphatic system could help to clear the proteins and relieve symptoms. It is, by a different method, the same therapeutic target as recent breakthrough drugs that slow down the cognitive decline of an Alzheimer’s patient.

But instead of an injection, the procedure involves a small incision in the neck, allowing surgeons to connect lymph nodes to a vein. The hope is that creating this new drainage route will help the brain clear amyloid and tau more effectively and “hopefully bypass whatever plugs that might be there in the system,” Siddiqui said.

This first round of US surgeries are part of what’s called an early feasibility study. “You’re just trying to prove that it’s definitely safe and definitely doable and maybe effective,” Siddiqui said. They’re measuring not only the patients’ cognitive performance but other data points — such as changes to their gait — for any sign of benefit or harm.

If results are promising, a second feasibility study will involve a larger number of patients — 50 or so. After that, if the evidence suggests they should move forward, the scientists would start to introduce placebos. In the case of surgery, that means some patients would receive “sham” surgeries that wouldn’t actually do anything. Then investigators would compare the experiences of the two groups: the people who received the fake surgery and the people who got the real thing.

If the latter group improves significantly more than the former, that would allow scientists to say definitively: Yes, this surgery actually works to treat Alzheimer’s.

“Obviously, this is exactly the kind of disease where there’s so much hype and so much hope,” Siddiqui told me. So it is essential to build out the careful research to substantiate it.

But let’s not get ahead of the science

Siddiqui has been in this position before — and he’s seen it go both ways. There was the new stroke treatment that proved successful and has since become the standard around the world. But he was also an early investigator of a multiple sclerosis treatment, somewhat similar to the Alzheimer’s surgery. After initial promise, it failed when the randomized trials began.

“I wouldn’t be a neurosurgeon if I was not an eternal optimist,” he said. “However, I’m a clinical trialist, and I always respect placebo.”

Placebos are essential, but they are also tricky. If somebody thinks they have received an active treatment in a study, they tend to think they’re going to benefit. This goes for surgical treatments as well. So following patients’ and their symptoms after the intervention is essential to seeing just how much of the effects can be attributed to the treatment and how much could be placebo effect. The latter of which could also be reinforced by loved ones who are desperate to see their parent or spouse get better. 

Alzheimer’s is also a complicated disease that we still don’t totally understand. While scientists think there is a relationship between amyloid and tau proteins and Alzheimer’s disease, other factors, such as inflammation and vascular health, could also have a role. Some prior drug candidates have successfully cleared amyloid plaque, but patients didn’t get better. Some people have amyloid build-up in their brains but never develop Alzheimer’s disease.

Dr. Bohdan Pomahac, division chief of plastic and reconstructive surgery at Yale School of Medicine, is overseeing studies designed to establish more of the basics of how these proteins pass through the lymphatic system. This research includes investigating whether obstruction actually occurs in Alzheimer’s patients, and if so, where exactly those blockages usually are. Only after they do this work, he said, would his team be comfortable proposing surgeries to relieve the blockage and see if that helps improve Alzheimer’s patients’ symptoms.

He told me about having seen Xie, the procedure-pioneering Chinese surgeon, speak during a plastic surgery conference a few years ago. (Plastic surgeons are experts in the kind of microsurgery necessary for the procedure, and several are involved in the ongoing Alzheimer’s trials.) 

“I think most people, including myself at the time, dismissed it as, ‘This is some sort of a charlatan.’” Pomahac said. “But he kept coming back to conferences every year and started to show more and more videos. We were not sure. Is it actors? You couldn’t tell what’s going on.”

Which is why he is dedicated to doing more of the foundational research to understand Alzheimer’s first. “Rushing to the operating room makes no sense in my mind at this point,” Pomahac said. “I think there’s a lot of work that needs to be done to really identify the site of surgery and what type of intervention would be most effective.”

Even if you set this surgery aside, this is an exciting moment for Alzheimer’s science. And although waiting any longer is excruciating for those watching loved ones with the disease progress, progress’ velocity by all accounts is increasing.

“We are finally doing the kinds of rigorous studies that will give us some degree of confidence that there’s something real here or not,” Siddiqui told me. “We’re not quite there yet.” But in just a year or two, we should know much more.

"Natural healing" coach Barbara O'Neill is permanently banned from providing health services in Australia, but will soon be touring Britain and Ireland to deliver lectures such as 'The Science of Breath' and 'What Really Does Cause Disease.'

O'Neill has claimed that cancer can be treated with baking soda; the New South Wales Health Care Complaints Commission found in 2019 that she had discouraged mainstream cancer treatment, antibiotics and vaccination, and that her claims had 'real potential to have a detrimental effect on the health of individuals'

Regulators and fact-checkers have documented Ms O'Neill saying that cancer is a fungus that can be treated with bicarbonate of soda, that vaccines have caused an 'epidemic' of autism and cot death, and that pregnant women with Group B Strep do not need antibiotics.

— Read the rest

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A while back, I was at physical therapy, and the topic of tennis came up. Someone said something about yellow tennis balls, and I was like… “What? They’re green.” And then someone else chimed in, “No, they’re yellow!” And then someone across the room hollered, “No, they’re obviously green.”

There was basically a physical therapy uproar. And when I started asking other people how they saw them — yellow or green — they told me they couldn’t even believe there was a debate. So I called up Bevil Conway. He’s a neuroscientist who heads up a lab at the National Eye Institute. He’s working on a book called Color Coded, which is due out next year. And he’s also a working artist — which is actually how he got into studying color in the first place. 

Conway told me there’s a pretty good reason for why so many people disagree about tennis balls. He said it’s simple: “There’s no such thing as a color.”

In the latest episode of Unexplainable, I talked with Conway about what color even is, the viral dress fight (black and blue or white and gold?), and why we get so upset when people don’t see color the same way we do. Below is an excerpt of our conversation, edited for length and clarity. Listen to the episode anywhere you get your podcasts or you can watch on Netflix.

So you are an artist. You are also a neuroscientist. You study color. You’re also working on a book about color. Are there still color mysteries? Are there things science doesn’t know about color? 

There are lots of mysteries about color. For a long time, people thought that color was a little bit like a filter, that everything that’s really important is in black and white, and then there’s a color filter you put on top of it. 

But a bunch of years ago, my lab were blown away to discover that there’s as much brain involved in processing color as there is in face recognition.

The same amount of processing power?

Yeah, there’s tons and tons of tissue [and] pretty fancy bits of brain that are doing pretty high-level things — parts of brain we think of as being involved in social cognition and in high-level reasoning and visual memory. Color must be more than just this little add-on. It’s doing something much deeper. So we’re trying to understand what those bits of brain are doing.

So what is color? How does it work? How do our brains and eyes perceive it? 

The classic definition would be: Color is the visual feature that you get from wavelength properties of the light entering your eye. People typically see the long wavelength end as red light, and then going through short wavelengths, you know, following ROYGBIV: red, orange, yellow, green, blue, indigo, violet.

If color were just wavelength, then an object under blue light would look blue, and the same object under yellow light would look yellow. And that wouldn’t be very helpful — because what you want is a signal that tells you about objects, immune to the lighting condition. You want them to always have that color. 

A perfect example is a peach. If you look at a peach outside and you look at it inside, it’s always gonna look like a peach color. But if you looked at the pattern of wavelengths that are coming off of the peach, they’re very different under different lighting conditions. They should be different colors if color were just wavelength, but they’re not. Those two different compositions of wavelengths look the same color. 

What I think is so cool about color is it’s so fundamental for how we need to experience the world — but the mechanics of how it does it teaches us a lot about the brain.

What we’re talking about is color constancy. That is, an object’s color is constant despite the viewing conditions. 

So if the peach is fundamentally a different color inside and outside, and our brains are telling us that it is still, you know, peach colored, how are our brains deceiving us?   

So it’s not fundamentally a different color. It’s the same color. That’s the cool thing. The problem is that you are carrying around, Noam, in your head an idea that color is wavelength, and that is the mistake.

Color is not wavelength! And we’ve known this for a long time. But the problem is that we want something that is an empirical, measurable number that’s outside of an observer, that’s a thing out there in the world, that would be the same number regardless of who looks at it. And color, at its core, is not that. 

Color is dependent on your own visual system interacting with the world. And that doesn’t mean it’s any less real. It just means that its reality is dependent on psychological neural brain processes. And that’s what makes color fascinating. 

Color is, you’re saying, something that is essentially created in the brain. 

Absolutely, yes. Color is a generative product of the brain that gives us reliable, useful, true, meaningful, objective information, but it itself is not [those things].  It’s some generative product of  your brain in order to come up with this information that’s useful and meaningful about the world.

[Your brain is] actually creating that thing that is a color. Colors don’t exist out there in the world independent of a viewer to see them. 

Is this related to “the dress” — you know, like 10 years ago when that photo of a dress went viral, and a bunch of people on the internet thought it was blue and black, and a bunch of other people thought it was white and gold, and everyone got super upset? Is this the same type of thing, of seeing something in different lighting or different contexts and perceiving a different color? 

It is. So the dress was fascinating because people with normal color vision looking at exactly the same thing were asserting very different perceptions. 

And, you know, from a deep kind of philosophical point of view, it’s important because they weren’t saying, “Yeah, it kinda looks different to me, but I understand how you could see it as different.” They were like, “No, it is white and gold.” And other people were saying, “It is different colors.” That was, for me professionally and personally, a really big deal because it underscored this fact that color is this generative, constructive thing that your brain is doing, making all kinds of assumptions, filling in the gaps about lighting, about what you think you’re seeing.

In the case of the dress, it’s such a crappy little photograph, very blurry. It doesn’t give you a lot of context. And your visual system, your own brain, has to make a guess about what the lighting is. And if your brain guesses that the lighting is nice, warm, direct sunlight, then it implicitly subtracts out a little bit of the yellow from the image, and you see it as blue and black. Whereas other people looking at exactly the same pixels on the same monitor who assume that the lighting is cool, indirect, shaded light from blue sky, their brains color-correct the image, subtract out some of the blue, and they see it as white and gold. And so you have these two groups of people whose brains have just made different assumptions. 

Why do you think that left people feeling so unnerved? When this happened, people could not possibly believe someone else could look at that dress and see a different color. 

It was amazing! And, you know, it’s still, to date, I think, the most viral image in the history of the internet. Right when it came out, my initial reaction too was like, “Huh, that’s weird. I wonder what’s going on there.” And a lot of my colleagues thought, “Well, maybe it’s got to do with proportions of rods and cones, or people are looking at different displays, or maybe people are just silently color blind.” 

But I think the idea that your own brain could play such a fundamental role in determining what the pattern of wavelengths means, even for vision scientists, wasn’t sitting front of mind. 

I think the reason that it played so deeply, if I could wax poetic, it’s that our contemporary society depends on a shared experience, right? Our laws depend on a common idea of what’s right and wrong.

Yeah, like whether my red is your red; we still need to be able to point at something and agree that it’s red. 

Yes, and here was an example where it was like: “That isn’t white and gold, that’s blue and black, clearly. Do we live in a shared reality?”

And if you can’t trust your eyes, what can you trust? I think people genuinely felt like, “Is this the beginning of the end?” Like, “Is our whole society collapsing?” I mean, look at Twitter, there were all sorts of expletives flying around. 

Have you ever gotten into an argument about a color? I once got into an argument about tennis balls and what color they were. 

Yeah, what color are they? I’m curious. 

I couldn’t believe anyone thought they were yellow! I always thought they were green.

They’re totally yellow. I mean, we can get into one now. You’re wrong. It’s so funny — I really thought that they were definitionally yellow.

So what is going on with tennis balls? 

Tennis balls are funny. I mean, if you ask people to pick their best example of green and blue and red and orange and yellow and so on, there’s a lot of variability. Green and blue is the most variable. Some people’s best example of green is another person’s best example of blue. 

Meaning, you could ask me  to pick a color that would be perfectly green, and then someone else would be like, “No, that’s blue.”

Yeah, exactly. And this isn’t language-based. This is true across all cultures. 

We just perceive blues and greens kinda badly or vaguely? 

Yeah, and one of the ideas that we have about that is that blues and greens aren’t really the colors that are tied to objects.

So if I ask you what colors are objects, it’s a weird question! It’s like, objects can be any colors. But it turns out, if you actually go and measure, you know, the colors of things that you choose to label in the world, most of them are, like, yellow, brown, red, pink, some purples, not many.

Yeah, I guess green and blue is the background. Like green’s the forest, and blue is the sky. 

Yeah, exactly. And, and even in nature, there are very few natural blue objects, and that’s partly what made blue as a pigment so desirable. So what’s weird about yellow is that yellow, if you just ask people in the rainbow to pick where yellow is, people are incredibly consistent.

So people really know yellow. 

They really know yellow. And I think what’s going on with the tennis ball is that it is a little bit fluorescent. It’s actually emitting a little bit more light than it’s taking in because it’s reprocessing it, short-wavelength light in the visible spectrum.

So they’ve picked this bright yellow, which is right at the peak of our visual system sensitivity. So the color of the tennis ball is the optimal wavelength that we can detect with our eyes, and it’s right in that range where it’s technically probably closer to green than it is to yellow. But because it’s so bright, and yellow is considered a bright color, the brightest color, people could be persuaded to see it in a yellow direction.

What I hear you saying is that I’m right — and it’s green. 

Yeah, yeah. Although, I still like it as yellow.

Last Wednesday, the head of an AI tech company casually announced, in a long-winded post on X, a discovery that, if true, would represent a major breakthrough in biomedical research. Dario Amodei, CEO of Anthropic, wrote that his company’s large language model Claude had found “a molecular machine that we suspect could represent a new gene editing mechanism.” 

So what does this “molecular machine” actually do? No one is entirely sure yet. But that hasn’t stopped tech bros from already upholding it as a new version of CRISPR, the enzyme-wielding tool that cuts up DNA like nobody’s business, sparking a revolution in ultra-precise genetic modification that has spanned research in everything from agriculture to cancer therapy. It’s no surprise its discoverers earned a Nobel Prize in Chemistry. If an AI program really just made a similar discovery, it would be big news.

Indeed, Amodei goes on to say that this finding could be a step toward developing cures for most diseases in five to 10 years. The company’s press release goes into more detail, but basically says that Claude was prompted to search through a massive database of DNA sequences for reverse transcriptases, enzymes that copy RNA into DNA. “After 21 hours spent searching this data by roughly 950 agents using 210 million tokens, one of the agents spotted something remarkable: a repeating pattern of DNA sequences that occurs next to the gene for an odd-looking RT,” the statement reads. Except that nothing about that is so “remarkable,” at least according to numerous people who study and work in this field.

“It is too soon to say that Claude — or the team of human researchers involved has discovered a ‘new CRISPR,’” Dimitri Perrin, an associate professor at the Queensland University of Technology, writes in The Conversation. He goes on to emphasize that what Claude found — a previously uncharacterized enzyme system found in viruses that infect bacteria — isn’t necessarily going to be useful. More research is needed, but Perrin explains that for now, the discovery is “CRISPR-like in its architecture, but there is no evidence that it is CRISPR-like in its function.”

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“Claude’s work isn’t even close to being in the same league as DeepMind’s AlphaFold system for predicting protein structure, which is proving to be truly transformative,” Michael Le Page, a senior reporter at New Scientist, wrote. Social media exploded with other examples of people dunking on Anthropic’s PR, with Simon Maechling, a PhD chemist, writing on X, “Claude discovered something in biology. Nobody knows what it does. But we already have the press release. … Finding something interesting isn’t the same as understanding it. Understanding it isn’t the same as showing it works. And showing it works isn’t the same as making it useful.”

Perhaps AI researcher Timnit Gebru summarized it best: “Please see what experts in this field are saying about this ‘discovery’ and not these scammers or press stenographers. This hype DDOS from them isn’t going to stop any time soon and we’ve seen how the mainstream media is doing press-release-as-a-service at this point.”

So it seems like Anthropic is making some pretty bold claims over something that is mildly cool and worth investigating, but at this point, also seems unlikely to revolutionize medicine or science. Why does this matter? A tech company making extreme claims is far from new. Big deal. But contrast all this hype (not to mention the energy spent debunking it) with the buzz just a few weeks ago about how, in just a few years, AI will supposedly gain sentience and kill off humanity. Consider how Anthropic CEO’s Amodei is among those pushing such a narrative, including warning that his company’s tools carry a risk of being used for cyberattacks or terrorism, including developing deadly viruses. Taken together, this presents a false dichotomy: AI will either end disease and suffering or inflict it in untold measure. Might there be a third option?

For anyone who buys the AI spiel, it’s a tool with boundless power. For now, however, the tech companies still rely on an old-fashioned kind of power offered by the state, which is precisely why other tech CEOs were seen sucking up to Chinese President Xi Jinping during his recent U.S. vacation. Amodei missed meeting Xi, for what it’s worth, but had a private dinner with President Donald Trump late Sunday night and later this week joined other tech leaders for a luncheon hosted by Trump and House Speaker Mike Johnson. There — joined by Nvidia CEO Jensen Huang, Tesla and SpaceX CEO Elon Musk, Meta’s Mark Zuckerberg and others — the president signed a “morally binding” artificial intelligence document, which sounds promising, until you hear Trump repeatedly tell reporters that tech companies can supervise themselves. “The self-regulation is very important,” Trump said. The document signed seems to have zero enforcement or legal mechanisms, so in this context, it appears “morally binding” just means “self-policing.” 

 

It’s no mystery why the president — heavily invested in the AI industry as he acridly dismisses any notion of regulation — is cozy with the idea of AI’s alleged abilities. In his latest effort to sell the American public on the coming “golden age” of AI (of course Trump would use that phrase), on Monday the Trump administration both launched America.gov, an AI chatbot powered by Google’s Gemini and Elon Musk’s Grok, and signed an executive order to rename AI “super intelligence.”

As Gebru observed, the grift has no end. All the more reason to pour cold water on outrageous claims about flagging little enzymes in huge databases. (Let’s avoid anthropomorphizing these programs by using the verb “discover.”) The goal of Anthropic’s AI propaganda — because that’s what it is — is to get most people skimming past the headlines to only catch “AI finds new CRISPR” and think a cure for cancer and world peace are right around the corner. All we have to do is hand the keys and all our money to Silicon Valley. Whether it’s utopia or dystopia, that’s the pitch: cede control of this tech to the billionaires in charge. In that sense, blindly swallowing AI’s positive hype can be as dangerous as its alleged existential risks.

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PALAU, Micronesia — On a bright, sunny day last May, I stood on a boat surrounded by the turquoise waters of the island nation of Palau. I was there in the western Pacific watching scuba divers as they prepared to bring up evidence of a mysterious aquatic world. 

Palau is famous for its spectacular and rich coral reefs. But these divers were planning to descend past those sun-lit marine communities and down into a lesser-known twilight zone known as the “mesophotic coral ecosystems.” 

Mesophotic essentially means “middle” and “light,” which is where these ecosystems are — not quite in the bright daylight, not quite in the profound darkness, but somewhere in between. For simplicity’s sake, we’ll call these communities, which range from some 30 meters to 150 meters below the surface, the “deep reefs.” 

One of the divers on the boat with me was a zoologist and curator at the California Academy of Sciences named Luiz Rocha, who has spent decades studying these deep reefs and their secrets. 

“Anything between 30 meters and 150 meters is really, really unknown,” he told me.

Because these deep reefs are so unknown, researchers like Rocha are left with big questions. They want to get a baseline picture of what is going on in these ecosystems — even just who lives there! — so that they can better understand how they function.  They’ve also tried to work out whether (or not) these deep reefs might provide a refuge for species living in shallower coral reefs.

I was in Palau for Vox’s Unexplainable podcast because, in an effort to gather more information about these mysterious places, Rocha left some scientific structures down in these twilight depths back in 2016. Those structures then spent almost a decade becoming encrusted with all kinds of marine life. And now, Rocha was back to retrieve them, hoping that he — along with many other scientists — would be able to open them up, like a box of scientific puzzle pieces, full of clues about this under-understood marine world.

So what is a mesophotic “deep reef”? 

One thing that’s often acknowledged in papers about and descriptions of the “mesophotic coral ecosystems” is that scientists don’t know as much as they’d like to. A National Oceanic and Atmospheric Administration article about them from 2019 is full of “may’s” as in: they may “serve as essential fish habitat for economically and ecologically important species.”

Researchers do know some things, of course. They know that these deep reefs can be found in many of the same locations as shallower coral reefs — so mainly the tropical and subtropical parts of the world, like Micronesia, the Caribbean, and even the Gulf of Mexico. They’ve found that there are many species that seem to be unique to these places, and recent research points to their potential susceptibility to climate change.

Researchers have also gotten a sense of some of the key differences between these deep reefs and their shallower coral neighbors. In shallow reefs, hard corals team up with photosynthesizing algaes. The algaes provide the corals with nutrients, and the corals secrete a calcium-carbonate matrix that helps create the architecture of the reef. 

As you go deeper, though, the light begins to fade, and the opportunities for photosynthesis start to fade with it. The temperature also drops. So the animals living down in the deep reefs are the ones that can survive in a dimmer, cooler world.

Why are these places so mysterious? 

Scientists can dive into the deep reefs to try to learn more about these understudied places — as Rocha has — but exploring down at 100 meters requires more difficult, riskier technical diving than exploring at shallower depths. The deeper you dive, for example, the faster gasses get pushed into your tissues, which imposes limits on these really deep dives.

“We have a very, very short time,” Rocha says, “And by short time, I mean five minutes. Six, seven minutes.” 

Scientists might take some pictures in that time, or make some measurements, or collect a few samples, but then they have to move back upwards, a process which can take hours because they have to rise slowly to avoid decompression sickness.

It is, obviously, not particularly efficient to study an ecosystem in five- to seven-minute bursts. People have also used remote operated vehicles and submersibles to explore the deep reefs, but those have their own issues, and cameras can’t always capture all the detail you might want, or photograph more secretive, cryptic animals. So huge gaps remain in scientific knowledge about these ecosystems. 

“Whenever we go somewhere,” Rocha says, “the first thing we find is new species. … It’s the most basic thing in science you can do.” But this effort goes beyond just cataloguing new species of fish or sponges or sea slugs. 

Rocha wants to answer seemingly fundamental questions like: What is the main energy source for everything down here in the dimmer light? What does the food chain look like? How have things evolved to live down at these depths? How similar are they to the shallow ecosystems, and how different? How are they affected by climate change — and what’s the most efficient way to protect them? 

But, “in some ways we don’t even know what questions to ask,” Rocha says. “We really only know what questions to ask after we have a baseline understanding of what the ecosystem is. And for deep reefs, we don’t know that yet.” 

A new way to understand the deep reefs using “prefab housing”

Rocha is not deterred by the enormous number of question marks that surround these deep reefs. For years now, he has been gathering bits of basic information about them, often via those very short dives. 

About a decade ago, though, Rocha got interested in another method for sampling the biodiversity of this sort of marine ecosystem — a technique involving “autonomous reef monitoring structures” (ARMS).

Basically, each ARMS is a stack of several PVC plates, separated at uniform intervals and attached to a base plate. They look like little grey, featureless hotels. You take them to a place that you want to study, bring them down, secure them, and then leave them alone for a while to let them collect…life.

“As soon as you drop any kind of clean structure on a reef,” Rocha says, “it starts getting colonized by larvae of everything around it — of sponges, gorgonians, corals. And then, because there’s all a lot of hiding spots between the plates — so between the floors of the hotel — they start getting colonized by shrimp, by mollusks, by ascidians, by anything you can imagine in the ocean. … And it becomes this stable, diverse mini reef, if you will, packed with a lot of biodiversity that would be very hard to collect all at once in any given reef.”

A few years after that initial drop, you come back, collect the ARMS, and then study the mini reef that has grown on them. You can sample and touch and analyze things to your heart’s content. 

It’s not only a very effective way to collect lots of creatures, all at once, but also a great way to do so in a standardized way. If you went down — or sent a robot down — to collect an encrusted rock from a reef, you could learn a lot about the life on it, but it would be hard to compare the life on that rock to life on other rocks from other reefs, or even the same reef, because each rock would have its own unique characteristics. Not so for ARMS.

“ Every one’s the same,” Chris Meyer, director of the Smithsonian Global ARMS program, told me, “It’s prefab housing, and then you just look to see who moves in.” 

To Rocha, this seemed like a great way to get a really good, long look at the deep reefs instead of the brief glimpses he was getting from diving. It was also, he told me, fairly cheap to deploy them. So from 2016 to 2018, with some private funding, he and his colleagues left ARMS in some of the deep reefs around Palau — as well as in Guam, the Marshall Islands, and French Polynesia. They installed some around 50 meters, and some around 100, and then some around 10 meters, so he could compare the deep reefs to their shallower neighbors. 

After that, he waited. 

In fact, he waited a little longer than he would have liked, because the retrieval of ARMS is more expensive than deploying them, so he had to work out more funding. 

Eventually, private funders agreed to underwrite the retrieval of the ARMS that Rocha had left. Which is how he and his fellow divers finally found themselves on a boat in Palau again, ready to pull up these structures for the deep.

Opening the scientific puzzle box

Over the course of a few days, I watched a whole team of people pull several ARMS out of the deep reefs of Palau. Some of the ARMS were relatively sparse, but others were almost fuzzy with organisms — vibrant with red and orange and green and pink and white. One had a massive sponge attached to it, another had several delicate fronds dangling from it like coralline ferns. The ARMS collected each day traveled to the Palau International Coral Reef Center in bins full of seawater, where the scientists quickly got to work — seeing and touching (and smelling) this mysterious ecosystem right up close.

The process was, as it turned out, equal parts magical excitement and well-oiled, Cheez-It fueled disassembly line. After the plates were taken apart, Meyer took photographs of the plates — what he called a “time capsule of the place.” Others in the lab picked carefully through trays of debris, hunting for tiny crabs and worms and mollusks, or scraped samples off the plates and deposited them in tubes.

They collected sea squirts, said to be our closest invertebrate relatives. They collected sponges — flat ones that felt dry underwater, thick ones with bristles like tiny, unmoving caterpillars, one as thin as a flake of skin and shot through with silver filaments. They collected strange, soft corals known as “octocorals,” and they collected colonies of animals called bryozoans, which created what looked like swirling, two-dimensional honeycombs.

“We’re looking for every unique thing, which we call a morphospecies,” a Smithsonian research biologist named Sarah Tweedt explained. “And we’re trying to get some representative tissue samples from all of these things so that we can sequence the DNA — and match the DNA to the organism.”

That is, of course, assuming there is already a known genetic match in our existing DNA libraries. 

On the first day that I spent with the team, a Cal Academy curator named Terry Goslinger identified several potential new species. He is an expert on colorful, delightful sea slugs known as nudibranchs, and so, because of his deep knowledge (and because nudibranchs’ bright hues and patterns make them somewhat easier to tell apart than some other underwater creatures), he was able to make some on-the-spot calls about whether or not certain species were likely to be new to science, pending genetic testing to confirm.

Many of the animals were trickier to pin down, though. The researchers did their best to identify the creatures they were finding, but even now, several months out, there’s still a lot of work to be done. Of the close to 3,000 specimens, only a small fraction were identified at a species level. The numbers are a little bit inexact because researchers are still processing the data, but when I checked in with a Cal Academy postdoc working on the project, Susanne Bähr, in July, she told me that only 3 percent of samples had been ID’d by species, and a little less than 20 had a genus designation. Many, many more were only identified at higher, broader taxonomic levels. Genetic testing of the samples, paired with photographs and descriptions of the samples, will help people work out more specific species, and also help them identify whether certain species are new to science.

Beyond discovering new species…and toward solving the big puzzle

The most important parts of this work will involve more than just identifying species. In fact, the more time I spent with these researchers in the lab, (including one evening spent with them as they worked past midnight), the more I got the sense that, while they seemed excited about seeing new species, they seemed equally excited to witness relationships between animals.

When I walked into the lab one day, for example, several people urged me to go over and look through a microscope at a creature known as a pompom crab — a tiny yellow crustacean holding purple anemones in its modified front claws. Tweedt was extremely jazzed when she found something referred to as a “skeleton shrimp,” which looked to me like the marine equivalent of a stick insect, blending in on something called a hydroid. She pulled me aside another time, around one in the morning, to show me “the frosting on the cake” of the day, which turned out to be some bright red sea snails and the bright red octocorals they seemed to live on

As she put it in a later conversation, these relationships are, in many ways, the key takeaway from this ARMS project, and what distinguishes it from efforts to bring up a few individual samples at a time. Studying them, or even just looking at the fuller picture ARMS provide, is what will let researchers tackle some of the outstanding questions about these ecosystems. Bähr, for example, is already working with the data from ARMS retrieved in Guam, trying to analyze how much overlap (or lack thereof) there is between species at different depths in the deep reefs.

Really, though, this is all just the beginning. In one of our conversations, Rocha compared the work they are doing now to ecology work done in the mid-20th century to understand how species’ vertical distribution changes as you go up a mountain. This drove home for me how far behind researchers working on the mesophotic deep reefs are compared to their colleagues working on, say, shallower coral reefs. I asked him what kept him working on such a difficult puzzle.

“It’s the reward at the end of it,” he said, “If it’s a hard puzzle, at the end of it, the reward is always bigger.” 

“But…in our lifetimes, will we assemble the deep reef puzzle?” I asked.

“No, we will not assemble the puzzle, no,” Rocha said, “but we’ll generate some good pieces for the next generation to assemble.”

Today's links

• Model collapse: Living in a world that's trained on itself.
• Hey look at this: Delights to delectate.
• Object permanence: Wired v Dutch hackers; NYT v DMCA; Hair gel terrorist threat does not exist; AT&T merger is a screwjob; Smart cities are stupid; RIP Reaganomics.
• Upcoming appearances: Edinburgh, Sydney, Melbourne, Brighton, London, South Bend.
• Recent appearances: Where I've been.
• Latest books: You keep readin' em, I'll keep writin' 'em.
• Upcoming books: Like I said, I'll keep writin' 'em.
• Colophon: All the rest.

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Model collapse (permalink)

One of my favorite rhetorical and analytical moves is joining things together (showing that two different, seemingly unrelated ideas are aspects of the same phenomenon) and taking them apart (resolving a paradox by demonstrating that what appears to be one, contradictory thing is actually two different things that have been lumped together).

"Taking things apart" is a very useful framework for understanding AI. How do we resolve the (seeming) paradox that some skilled workers report wonderful results from their work with AI, while others are full of dire warnings about the lurking defects in their AI-assisted outputs? Simple: the first group are "centaurs" (humans who are assisted by machines) and the second are "reverse centaurs" (humans who have been pressed into service as peripherals for machines):

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

What are we to make of the people who've been fired by bosses who replaced them with AI, in light of the fact that AI is demonstrably not able to do their (former) jobs? Again, it's simple if you separate out two distinct phenomena: "AI can do your job" is the first. The second is: "Your boss is a credulous dolt who is infinitely horny for replacing lippy workers with pliable machines, which made him an easy mark for an AI salesman who convinced him to fire you and replace you with an AI that can't do your job":

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

This is also a useful move for understanding the AI investment bubble. It's not just billionaires who don't think other people are as real as they are and consequently their jobs can be done by chatbots. It's also billionaires who believe that bosses can be sold AI and don't care if the AI is defective, because that's your boss's problem after he buys the AI and fires you. They don't have to believe in AI in order to think it's a good investment: like an investor betting that Joe Rogan can sell millions of dollars' worth of peptides to desperate young men, they are assessing the sales potential, not the merits of the thing for sale:

https://pluralistic.net/2026/08/03/andor/#either

As useful as "taking things apart" is, "putting things together" is also a very important technique for assessing, critiquing and improving AI. In a stellar essay entitled "Temperature Zero for Culture: Why Everything Is Starting to Look the Same" by the data scientist Lauren Leek, we get a top-notch example of "putting things together":

https://laurenleek.substack.com/p/temperature-zero-for-culture-why

Leek's essay is one of those fabulous, wide-ranging, cross-disciplinary pieces, touching on urban design, music trends, synthetic LLM crowds, Netflix recommendation algorithms, and several other subjects, all seeking to resolve a(nother) (seeming) paradox: how is it that we have so much potential variety, but everything is so manifestly the same?

The answer is complicated and nuanced, but Leek's foundational point is that in a data-driven society, "predictions" are self-fulfilling prophecies. As Leek puts it: "Once prediction shapes the choices in front of us, we lose the ability to tell the difference between what people wanted and what the system made easy to want."

This is a pervasive issue across many domains. Leek says that economists call it "performativity," while machine learning researchers call it "model collapse" and urbanists call it "placelessness."

"Performativity" describes how, once a market has been modeled by economists, that model becomes the foundation for economic policy, which pushes the market to conform to the model:

https://press.princeton.edu/books/paperback/9780691138497/do-economists-make-markets

"Model collapse" describes how machine learning models that are trained on their own predictions become incredibly bland, with all variety disappearing from the system's predictions:

https://pluralistic.net/2024/03/14/inhuman-centipede/#enshittibottification

This is hugely consequential: it's why bias proliferates through predictive policing algorithms: train a model with data from racist stop-and-frisks and it will predict that all the weapons and drugs in a city are to be found in Black and brown peoples' pockets. Turn those predictions into recommendations telling cops where to go look for weapons and drugs and they will double down on racist stops, producing even more biased training data, which turns into still more bias in the predictions:

https://hrdag.org/2016/10/10/predictive-policing-reinforces-police-bias/

"Placelessness" is the urbanist's name for "when everywhere optimises toward the same template." I think of it as Flinstones Syndrome, where the same background is looped behind Fred and Barney as they drive through Bedrock. In New York City, it's Citibank-bodega-Chipotle-Walgreens; in the Chicago suburbs, it's the strip malls with a Chili's, a gas station, and a big box store.

Leek proposes that these are all expressions of the same underlying phenomenon, a failure mode of data science that takes a world of "granular personal data" and arrives at a world where "personalisation produc[es] more sameness."

To these excellent examples, I'd add another one, from the world of monetary policy: Goodhart's Law, which holds that "When a measure becomes a target, it ceases to be a good measure":

https://en.wikipedia.org/wiki/Goodhart%27s_law

Goodhart's Law captures a wide variety of phenomena. When Google first deployed Pagerank, they showed that by counting the inbound links to all the pages on the web, you could extract a signal about which pages were most important (because there was no reason to link to a page unless you found it noteworthy).

But once Pagerank became the dominant means by which web users found pages, counting links stopped being useful: first, because people used Pagerank to find the best pages and link to them, making it impossible for new pages to get the inbound links needed to supersede incumbent pages; and second, because it's easy for fraudsters to create inbound links for low-quality pages in bulk, once there's a reason to do so.

Counting inbound links was a world-beating retrospective way of predicting which page would best match a searcher's query, but once it shaped the world it sought to analyze, it ceased to be a good prospective way to predict which page would best match your queries.

Leek is a brilliant data scientist and an even better science communicator, with a knack for crisp, readily understood explanations. How can a world of granular, highly varied data turn into a world of homogeneous choices? Simple: start with a set of items ("cuisines, genres, shop types") and a standard algorithm for sorting them. Let users choose from those recommendations. The mode (average) of those choices "gets shown more, so it gets picked more, so the model grows more confident the mode is what people want, and the tails starve." Run this for a few rounds and the evenly distributed catalog of choices "collapses onto one dominant option."

This is intrinsic in the choices we make in designing recommendation algorithms, tilting them towards the likelihood of a successful recommendation. A recommender that wants to succeed every time will make the safest possible recommendations, "so an algorithm that is uncertain about you, and it is always at least a little uncertain, hedges toward the average."

Then she busts out a beautiful, perfect little statistics aphorism: "Personalisation under a standard loss function is regression to the collective mean with extra steps." That is to say, "regression to the mean" (the tendency of varied things to become more standardized) cannot be avoided with the standard personalization algorithm. That algorithm is going to play it safe, showing you things that are broadly palatable, and because your choices are constrained to the average, you will choose average things.

This is how recommendation systems – and other analytical tools that produce predictions that are then turned into action – force so many diverse phenomena (streets, markets, media recommendations) into sameness. The fact that these recommenders are self-fulfilling prophecies means that "they don't have to be right," only "listened to."

This explains the sameness of so many of London's high streets. Leek examines 640 shopping streets, characterizing 18,000 food places spread out across them, flagging all the chain restaurants. Her analysis shows that any two London streets will, on average, share about half of their "food profile."

Obviously, this is most pronounced on streets with chain outlets, and it doesn't take that many chain outlets before a street's sameness shoots up: "A relatively small number of repeated names is enough to make otherwise different streets resemble one another more." So why do streets with chains resemble one another so much? Because the chains use an algorithm (weighting footfall, proximity to train stations, demographics, and competitors) to decide where to put their restaurants. If a street with a Gail's Bakery on it feels like every other street with a Gail's Bakery, that's because Gail's only puts its restaurants in places that have highly similar characteristics, measured to a high degree of accuracy and controlled by a narrow set of tolerances.

In other words, every street that feels like it should have a Gail's will eventually get a Gail's, whereupon that street will feel even more like all the other streets that have a Gail's, because it will share one more common factor with those other streets (a Gail's).

Leek points here to her earlier work on pub closures in the UK. The UK has experienced an epidemic of pub closures, with thousands of pubs disappearing since 2016:

https://laurenleek.substack.com/p/britain-lost-14000-third-places-they

Her research found that the biggest predictor of a pub surviving was its similarity to the median pub; which is to say that the more distinctive a pub was, the more "character" it had, the more likely it was to close. Pubs that are different from the average pub are harder to categorize, which means they're harder for a bank manager to assess for creditworthiness or for a landlord to justify extending a long-term lease to. The algorithms used to allocate capital and real estate are also recommenders, and they also drive variety out of the system.

This same phenomenon acts on culture. In an age of music recommendation algorithms, hit songs are changing; today's songs use a smaller vocabulary of unique words and repeat those words more often:

Vocabulary richness, distinct words relative to length, has fallen by more than a quarter since the early 1960s, while the share of repeated lines has climbed by nearly a third. The modern hit says less and says it more often, because the hook that works gets repeated.

But that's not the whole story! While each song resembles itself more ("saying less more often"), within that constraint, there's far more variety today than before: a given song's (constrained) vocabulary has grown more distinct when compared to all the other songs' vocabularies. Songs repeat the words they use, but the words repeated in songs are getting more different.

For Leek, this is the key to understanding the whole phenomenon and (more importantly) doing something about it. Music recommendation systems optimized for a singable hook, but did not optimize on any of the other variables in songs, so those dimensions acquired a broader range, even as the optmized variable got flatter and narrower.

This means that the tendency of recommenders to "flatten the world" isn't a single blunt outcome: it depends on which dimension we choose to flatten through recommendation, and who chooses to flatten that dimension.

A media recommender optimizes for consumption, showing you a tractable set of things it believes you'll watch, read or listen to. When you choose from among this limited set, the recommender takes note of that fact and shows you more of the same, pushing everything to a greige median. All the movies, books and songs you might have liked that were omitted from that initial set are excluded from being recommended in the future. The features of that media that you might have appreciated "decay out of consideration." They are never tested for desirability. The model collapses.

How badly does it collapse? Leek cites Movietweetings' data on which movies people watch: out of a million public movie ratings, half relate to the top 2% of movies in the set. There's 38,000 films in the set, but just 380 titles account for 40% of the ratings. Leek argues (persuasively) that this isn't because recommenders are good at "knowing your taste" – rather, they are good at "narrowing the menu."

Leek relates this to her work on creating LLM "personas" – synthetic populations meant to mimic the tastes and proclivities of real groups of people, that you can interrogate "before you spend money asking actual humans." While this would be useful for many applications, "it fails in exactly the way this whole essay is about."

Leek went to enormous lengths to reproduce the traits that make people interesting to study in aggregate, painstakingly replicating the ways that social connections, psychological outlook and demographic factors predict people's beliefs. The result was a set of LLM personas with "elaborate stories" about how they differed from one another, but whose survey responses about planned actions were homogeneous in a way that real populations are not.

This, Leek writes, is the same force that homogenizes other data-driven predictors. Because she'd ordered her LLM to reproduce the statistically validated relationships between different factors that predict a person's beliefs, each synthetic persona was a homogenized average. It's like the paradox of "The Average Man," where military uniforms sized to the average of all service personnel fit no one, because no one is average:

https://archive.org/details/DTIC_AD0010203

The thing is (as Leek points out) the idea that synthetic personas are a good way to understand the preferences of a real population is not a harmless delusion: it's a product that's being actively sold to governments, campaigning politicians and marketers. It's a self-fulfilling prophecy that drives governance, political campaigns and product design to the same homogeneous median that is making every shopping street in London feel the same.

This matters. As Leek writes, ecologists have long understood the importance of variety for systemic resilience: they call it "the insurance value of biodiversity." A diverse system has reservoirs of species and variation that may not be optimized for how things stand now, but that can move into niches created when things change in ways that lay waste to the previously dominant organisms. As anyone whose favorite banana went extinct can tell you, homogeneity works well, but diversity fails well:

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

The brittleness of algorithm-induced homogeneity is compounded by the fact that recommenders obscure the true preferences of people. If you watch two Scandinavian crime dramas after Netflix recommends them to you, it will keep showing you more Scandy crime for the next decade – even if there's another kind of programming that you'd vastly prefer (if only you knew about it). This means that decision-makers who choose which shows will get made in the future will keep on funding their safe Danish detectives, to the exclusion of whatever might emerge from the same weird attractor that produced the K-Pop Demon Hunter fortune.

Transpose this failure mode onto states, bank managers and landlords, and we see whole ranges of policies, businesses and activities that never come into existence, despite the popularity, prosperity and joy they might bring us.

But Leek doesn't end with this worrisome note. Instead, she identifies this whole thing – model collapse, placelessness, performativity, even Goodhart's Law – as an expression of one of the best-understood tradeoffs in computer science: "exploration vs exploitation":

Any system learning from feedback has to divide its effort between exploiting what already scores well and exploring options it hasn’t tried, in case they’re better.

Computer scientists have long understood that focusing on exploitation to the exclusion of exploration is a trap that locks you into "the first decent option" so you can never discover the best one.

Which means that this algorithmic homogeneity has a well-understood corrective: "forcing exploration back in." The problem is that markets hate this kind of exploration. A company that lives and dies by how many clicks it gets is never going to sacrifice 20% of its traffic by showing its users weird, untested options that score worse than the median because these weird things have never had a chance to prove that they are desirable.

This is a classic market failure, and, as Leek points out, there are regulatory responses in the UK (the Digital Markets, Competition and Consumers Act) and the EU (the Digital Services Act), both of which require the largest platforms to open up their recommendation systems, but so far, regulators have focused on "online harms" rather than variety (though the DSA does require platforms to offer algorithmic recommendations that are not based on your personal traits).

Leek identifies this willingness of states to set conditions for algorithm design as a means by which "exploration" can be forced back into the system. She's also bullish on interoperability, so that users can leave platforms with bad recommenders, without losing access to their media or social circles. As she writes, "the deepest discipline on a feed that has trapped you is the credible ability to leave it and take your data with you." I couldn't agree more:

https://pluralistic.net/2023/01/08/watch-the-surpluses/

She's less hopeful about individual responses. Demanding that you be an "adventurous consumer" is a way of letting systems off the hook. When every street has the same restaurants and every bookshop has the same books and the people in your life are all locked into one of two social media platforms, "choosing wisely" only gets you so far. Shopping isn't politics!

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

Leek is a superb writer. After reading this piece yesterday, I sent it to half a dozen people and then read everything else in Leek's newsletter archives. Not only is it all brilliant, but I also realized that she'd written one of the most memorable articles about cities and platforms I've read in the last year, "How Google Maps quietly allocates survival across London’s restaurants – and how I built a dashboard to see through it":

https://laurenleek.substack.com/p/how-google-maps-quietly-allocates

I should have added Leek's newsletter to my RSS reader when I read that last December. I've rectified that oversight! What a fantastic thinker, scientist and communicator! If she isn't being relentlessly pestered by editors and literary agents offering her a book deal, then it really does prove that the recommender systems are elevating the bland median over the thoroughly, delightfully spiky outliers.

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Hey look at this (permalink)

• Mamdani’s Taking On Amazon. His Opponent? Chuck Schumer’s Daughter. https://prospect.org/2026/08/11/mamdani-schumer-lobbying-new-york-city-council-amazon-delivery-drivers/

• On AI Coding and Its Discontents https://calnewport.com/on-ai-coding-and-its-discontents/

• Crocs Has a Trick for Dodging Taxes: a Tiny Office in Malta https://www.nytimes.com/2026/08/05/business/economy/crocs-malta-tax-haven.html?unlocked_article_code=1.4VA.UZy2.BtVrP_IVnz8b

• Why State-Level Contract Law is Essential to the Future of Digital Library Rights https://www.libraryjournal.com/story/news/moving-beyond-the-publisher-playbook-why-state-level-contract-law-is-essential-to-the-future-of-digital-library-rights

• What is a Reverse Centaur? https://www.youtube.com/watch?v=CVjt3_bf1bI

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Object permanence (permalink)

#25yrsago Awful, stupid Wired report on Dutch hacker camp https://web.archive.org/web/20011007084604/https://www.wired.com/news/culture/0,1284,46033,00.html

#25yrsaog Excellent NYT story about the internal contradictions of the DMCA https://memex.craphound.com/2001/08/13/excellent-nyt-story-about-the/

#20yrsago Our faulty intuition about open systems https://www.ft.com/content/64167124-263d-11db-afa1-0000779e2340

#20yrsago Defending against the last plot won’t save us from the next one https://www.schneier.com/blog/archives/2006/08/terrorism_secur.html

#20yrsago NBC: Hair-gel terrorists posed no risk last week https://web.archive.org/web/20060813194630/http://www.msnbc.msn.com/id/14320452/

#15yrsago AT&T merger leak: it’s all about raising prices and reducing competition https://web.archive.org/web/20110920222524/http://www.broadbandreports.com/shownews/Leaked-ATT-Letter-Demolishes-Case-For-TMobile-Merger-115652

#10yrsago What’s inside a Tiki Bird? https://miehana.blogspot.com/2016/08/fancy-feathers-restoring-tiki-room-birds.html

#5yrsago End of the line for Reaganomics https://pluralistic.net/2021/08/13/post-bork-era/#manne-down

#5yrsago Smart cities are neither, 2021 edition https://pluralistic.net/2021/08/13/post-bork-era/#our-streets

#1yrago Maga's boss class think they are immune to American carnage https://pluralistic.net/2025/08/13/then-they-came-for-me/#boss-politics

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Upcoming appearances (permalink)

• Virtual: EFFecting Change: Who the Machine Serves, Aug 12
  https://www.eff.org/event/effecting-change-who-machine-serves

• Edinburgh International Book Festival (solo), Aug 16

  https://www.edbookfest.co.uk/events/cory-doctorow-enshittification

• Edinburgh International Book Festival with Jimmy Wales, Aug 17
  https://www.edbookfest.co.uk/events/the-front-list-cory-doctorow-and-jimmy-wales

• Sydney: The Festival of Dangerous Ideas, Aug 23-24
  https://festivalofdangerousideas.com/program/

• Melbourne: Enshittification at the Wheeler Centre, Aug 25
  https://www.wheelercentre.com/events-tickets/season-2026/cory-doctorow-enshittification

• Brighton: The Reverse Centaur's Guide to Life After AI with Carole Cadwalladr (Brighton Dome), Sep 8
  https://brightondome.org/whats-on/LSC-cory-doctorow-the-reverse-centaurs-guide-to-life-after-ai/

• London: The Reverse Centaur's Guide to Life After AI with Riley Quinn (Foyle's Picadilly), Sep 9
  https://www.foyles.co.uk/events/enshittification-cory-doctorow-riley-quinn

• South Bend: An Evening With Cory Doctorow (Notre Dame), Oct 6
  https://franco.nd.edu/events/2026/10/06/an-evening-with-cory-doctorow/

• Vancouver: BC Policy Solutions Gala, Nov 12
  https://bcpolicy.ca/gala/

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Recent appearances (permalink)

• Speculative Fiction for Social Change (Cool People Who Did Cool Stuff)
  https://pocketcasts.com/podcast/cool-people-who-did-cool-stuff/08cbb840-a6ae-013a-d8aa-0acc26574db2/part-one-cory-doctorow-on-speculative-fiction-for-social-change/15ad467c-0832-44c9-91ea-59defd783dba

• AI, automation and enshittification (Telecoms.com)
  https://www.telecoms.com/ai/the-telecoms-com-podcast-ai-automation-and-enshittification

• The AI Enshittification Bubble (Hidden Forces)
  https://hiddenforces.io/podcasts/the-ai-enshittification-bubble-cory-doctorow/

• F@#$ the AI Overlords (On The Media)
  https://www.wnycstudios.org/podcasts/otm/articles/f-the-ai-overlords

• Why AI Won't Replace Workers, But Will Crash The Economy (Smart Cookies)
  https://www.youtube.com/watch?v=rRRmUuxJolY

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Latest books (permalink)

• "The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
  https://us.macmillan.com/books/9780374621568/thereversecentaursguidetolifeafterai/

• "Canny Valley": A limited edition collection of the collages I create for Pluralistic, self-published, September 2025 https://pluralistic.net/2025/09/04/illustrious/#chairman-bruce

• "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

---

Upcoming books (permalink)

• "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027

• "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

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

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

---

Colophon (permalink)

Today's top sources:

Currently writing:

• “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 546 (4161 total).

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

• A Little Brother short story about DIY insulin PLANNING

---

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

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

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

---

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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

Today's links

• Deranged billionaires and their syndromes: The Mad Kings do love a syllogism.
• Hey look at this: Delights to delectate.
• Object permanence: PoGo v binding arbitration; Trump beat some absolute losers; Public interest internet; "Close to the Machine"; Gadget-friendly chinos; Gambiologia; Monkey selfie copyright; Prison towns v prison reform.
• Upcoming appearances: Edinburgh, Sydney, Melbourne, Brighton, London, South Bend.
• Recent appearances: Where I've been.
• Latest books: You keep readin' em, I'll keep writin' 'em.
• Upcoming books: Like I said, I'll keep writin' 'em.
• Colophon: All the rest.

---

Deranged billionaires and their syndromes (permalink)

The theory of markets goes like this: even the best of us can fall prey to selfishness and rationalization, so let's arrange society so that people acting on their most selfish impulses end up producing benefit for all of us. That'll be easier and more reliable than convincing everyone to be more generous.

How do you arrange society so that selfishness produces public benefit? With markets. Faced with relentless competition, the most effective way to accumulate and retain wealth is by striving to make your wares cheaper and better. In a competitive labor market, we can secure fair treatment for workers without labor law or unions – bosses who treat their workers badly will lose them to better bosses. Just "align the incentives" and let markets do the rest.

This is an area where there's broad overlap between the left and the right. Chapter one of The Communist Manifesto is Marx and Engels' love letter to the incredible power of markets to improve everyone's material conditions by increasing production while lowering costs:

https://www.nytimes.com/2022/10/31/books/review/a-spectre-haunting-china-mieville.html?unlocked_article_code=1.yFA.YcmQ.KuTFFpUAnlmt&smid=url-share

Meanwhile, over in Wealth of Nations, Adam Smith comes to the same conclusion:

It is not from the benevolence of the butcher, the brewer, or the baker, that we expect our dinner, but from their regard to their own interest. We address ourselves, not to their humanity but to their self-love, and never talk to them of our own necessities but of their advantages.

In other words: if you get the incentives right, then even the greediest baker will resist the temptation to fill his loaves with sawdust and gravel. The greedier he is, the more he'll strive to make his bread cheap and delicious, because that will let him sell as many loaves as possible, thus maximizing his own wealth.

It's not exactly horseshoe theory vindicated, but if you squint just right, you'll see both communists and capitalists agreeing on this one thing: if you want the bourgeoisie to bend its efforts to producing something that the rest of us can benefit from, you'll get further by appealing to their fear and greed than by trusting in their munificence.

This is how you can have both leftists and market true believers coming onto the same side on antitrust: they may not both exactly agree that the best way to run things is by appealing to capitalists' fear of being dethroned by a competitor, but they absolutely agree that the worst way to run things is to simply trust in capitalists' generosity.

They're right, of course. As Lina Khan likes to say, companies that are too big to fail become too big to jail, and thus too big to care. If you doubt it, consider this internal email sent by an Apple executive insisting that the company is wasting money by making iPhones that are too good, and counseling a corporate strategy of deliberate shittiness:

In looking at it with hindsight, I think going forward we need to set a stake in the ground for what features we think are 'good enough' for the consumer. I would argue we're already doing more than what would have been good enough. But we find it very hard to regress our product features YOY [year over year]." Existing features "would have been good enough today if we hadn't introduced [them] already," and "anything new and especially expensive needs to be rigorously challenged before it's allowed into the consumer phone.

https://www.justice.gov/d9/2024-06/423137.pdf

Policymakers can assume the profit motive, but they have to craft the conditions under which that motive is shaped by competitive anxiety to produce quality goods and services at a fair price.

Anyone who believes in markets must also tacitly believe that successful market participants don't believe in markets. They should understand that capitalists hate capitalism, that every pirate yearns to be an admiral. They should understand that capitalism's winners only defend disruption when they're the ones doing the disrupting. They should understand that profits are only good when you're a scrappy challenger, but once you've conquered the market, every capitalist seeks to become a feudal lord, converting profits to rents and insulating themselves from an exhausting life of constant competition:

https://pluralistic.net/2023/09/28/cloudalists/#cloud-capital

The (smart) defenders of markets do understand this, but they face a dilemma. By definition, the benefactors with the most money and power to contribute to their think-tanks, university economics departments, conferences and publications are the rentiers – the billionaires who've shored up their fortunes with Warren Buffet's beloved "moats and walls." They're the blitzscaling billionaires who thrive on predatory acquisitions and high capital costs that prevent new market entrants from challenging their incumbency and its easy profits. They're the pirates who've become admirals.

As Upton Sinclair famously quipped, "It is difficult to get a man to understand something, when his salary depends on his not understanding it." When your right-wing, "pro-market" think-tank depends on the largesse of someone who made their money by capturing a market, capturing its regulators, and capturing its labor force, you need to tie yourself into some very weird knots to explain why your market advocacy shouldn't start with stripping your funders of their power, wealth and position.

This is pretty much the entire edifice of neoclassical economics. There's the "consumer welfare" theory of antitrust, that says that monopolies are efficient and insists that an inefficient monopoly would immediately tempt new competitors into the market who would compete away the monopolist's advantage:

https://pluralistic.net/2025/11/06/vertical-blinds/#invest-dont-acquire

"Consumer welfare" is a perfect apologetic because it contains a lurking syllogism: it holds that "inefficient monopolies" will always bring forth competitors who trash their margins, which means that any actual monopoly we see in the wild must be efficient. If it wasn't, it would have been competed out of existence by now. QED. This means that you can be a "pro-market" think-tank and take infinite money from monopolists without any contradiction: by definition, any monopolist with extra cash on hand to fund your PR blitz on its behalf must be efficient, otherwise it would have gone broke.

This is the structure of so many of economics' "empirical, scientific" theories that boil down to new ways of saying, "Actually, your boss is right."

Take "revealed preferences," the idea that people's actions are a better indicator of their preferences than the things they say they prefer. While this theory has a certain superficial plausibility, it can really only be embraced by people who have suffered the highly specific neurological injury you get by taking an economics degree: an injury that makes you incapable of perceiving or reasoning about power.

To fully embrace "revealed preferences" is to observe someone who has just sold their kidney to make rent and exclaim, "Look at this person with a revealed preference for only having one kidney":

https://pluralistic.net/2026/03/30/players-of-games/#know-when-to-fold-em

Then there's the right's conception of regulatory capture. When you think of "regulatory capture," you might picture a company or sector that has grown so powerful that it can boss the government around, so that it can abuse you with impunity. But for a neoclassical, "regulatory capture" isn't the result of too much corporate power – it's the result of too much state power. If states have the ability to do real things (the theory goes), then capitalists will do everything they can to take over the state and use it to punish their competitors, so the only answer is to eliminate state capacity altogether:

https://pluralistic.net/2022/06/05/regulatory-capture/

And finally, there's "meritocracy," which is a way of dressing up the Puritans' concept of divine providence as a scientific theory about how society must work. Puritans insisted that their god reached down into the human realm to elevate the truly virtuous among us, and that this divine favor could be discerned in the way that wealth and power were distributed among us. The rich and powerful were god's "elect." You could tell this was true, because they were rich and powerful. The corollary is that the poor and downtrodden are disfavored by god, and must therefore lack some virtue that the rich and powerful possess.

This same syllogistic thinking underpins the economic doctrine of "meritocracy," which holds that markets are giant computers that process uncountable trillions of decisions we all make about what to buy and sell and at what price, seeking out the "correct" price for every commodity and also elevating the people who are best at allocating capital in ways that arrive at the best prices for the best goods. Just as a Puritan believes that wealth is evidence of virtue, a hewer to economic orthodoxy believes the meritocratic system graces the best among us, giving them control over our lives by allowing them to "allocate capital" to create or destroy jobs, or entire firms, or whole sectors of the economy. You can tell they're the right people to do be doing this because the market chose them – if they were bad capital allocators, they'd have gone broke by now. QED.

When capital allocators' kids end up allocating capital too, well, that just shows that "merit" is a heritable trait and the people who have it are born to rule over us. Meritocracy cashes out to a eugenic belief in royal blood and royal dynasties. We know King Arthur was suited to rule us because he pulled a sword out of a stone, and we know Bill Gates is suited to rule over us because he pulled a fortune out of an operating system:

https://pluralistic.net/2025/05/20/big-cornflakes-energy/#caliper-pilled

Consumer welfare, revealed preferences, regulatory capture and meritocracy are just some of the ways that capitalism's alleged defenders cooked up to insist that they love the competitive discipline imposed by markets while being totally dependent on self-described capitalists who have utterly escaped from that discipline and have committed to doing everything in their power to prevent themselves from ever coming under any form of constraint.

These champions of "free markets" have spent decades defending policies like noncompetes, which makes it a crime for a fast-food worker to quit their job at Wendy's and take a job at the McDonald's across the street in order to get a $0.25/hour raise:

https://pluralistic.net/2025/09/09/germanium-valley/#i-cant-quit-you

They defend anticircumvention laws that make it a literal felony for you to install someone else's app store on your phone or put someone else's ink in your printer:

https://memex.craphound.com/2012/01/10/lockdown-the-coming-war-on-general-purpose-computing/

They somehow believe that value arises when the best among us are forced to contend with the stark terror of losing everything to a competitor, but also that there is a group of people who are so perfect, so virtuous and brilliant that they do not need this kind of goad to prod them into action. Indeed, these genetic sports and generational talents are so amazing that to force them to sully themselves with grubby competition is to deny us all the fruits of their genius.

Who are these people? Why, they're billionaires of course. All billionaires: after all, if providence and the market's invisible hand has seen fit to bestow nine or more zeroes upon someone, that is an indicator of 10^9 times more virtue than someone with only a dollar to their name. But especially: intellectual billionaires, the kinds of "curious" billionaires who write books, give lectures, and (especially), make gigantic cash donations to think-tanks, university economics departments, conferences and journals.

Billionaires like Peter Thiel and Elon Musk, in other words.

These are the billionaires that capitalism's (alleged) defenders are caping for when they deplore "billionaire derangement syndrome," and fret that candidates for office now routinely cite enmity for billionaires in their campaign materials:

https://marginalrevolution.com/marginalrevolution/2026/07/andrew-hall-is-on-a-roll.html

But as Tim O'Reilly writes, these billionaire-defending intellectuals always told us that markets would protect us from the madness of kings, by constraining the folly of the wealthy and powerful through the discipline of competition. Meanwhile, those billionaires were busily transforming themselves into kings, unshackled from rules, morals or consequences:

https://www.economist.com/by-invitation/2026/07/12/elon-musk-is-building-a-form-of-capitalism-that-adam-smith-would-hate

Reflecting on this, the political scientist Henry Farrell notes that the most vocal defenders of billionaireism – the Musks and Thiels of the world – never made a secret of their desire to become kings and insulate themselves from markets and discipline of every kind, and they've grown brazen. Musk makes social media posts deploring the very idea of elections, agreeing with the idea that only "makers" should be allowed to vote and that "takers" should not, because "universal suffrage leads to universal suffering":

https://nitter.net/elonmusk/status/2073312715985309698

As for Thiel, he has long openly advocated the idea that there exists among us a latent aristocracy who do not need the discipline of markets to keep them from lapsing into folly or self-dealing. These people – born to found tech startups and to rule – are nonconformists who, in Thiel's writing, are "the most important" and "should be let off the hook":

https://blakemasters.tumblr.com/post/24578683805/peter-thiels-cs183-startup-class-18-notes

Thiel makes no bones about his idea that people who have the right stuff should be exempted from any constraint. He writes "capitalism and competition are opposites." Rather than compete, Thiel says the true entrepreneur should seek to establish a monopoly, because "Monopolists can afford to think about things other than making money; non-monopolists can’t…Only one thing can allow a business to transcend the daily brute struggle for survival: monopoly profits."

It's not that Thiel opposes constraints per se – he clearly thinks that most of us should operate under constraints – constraints that are dreamed up and enforced by people like him. Those people are born to rule: they emerged from a lucky orifice, in possession of lucky genes. How can we tell they were born to rule? Because they're ruling. If they weren't born to rule, they wouldn't be in a position to rule. As ever, a syllogism solves all our ideological and existential problems.

Thiel lives in what Naomi Klein would call "the mirror world." While counterculturists have long celebrated misfits and communities of nonconformists, they were invested in the idea of a space protected from power, where weirdos could let their freak flags fly:

https://pluralistic.net/2023/09/05/not-that-naomi/#if-the-naomi-be-klein-youre-doing-just-fine

But Thiel's version of this is to celebrate the "nonconformists" whose heterodox belief is that labor, privacy, finance and consumer protection laws shouldn't apply to them. He wants to protect those people so they can wield power. They should form "mafias" (like the "Paypal mafia") not solidaristic affinity groups. As Farrell writes:

Entrepreneurial risk taking can be awesome; weird people are often more likely to be original; densely linked communities have many advantages. Furthermore, I would guess that none of these factors was sufficient on its own to precipitate the madness of princes that we see today. It is perfectly possible that they would have worked together in much more benign ways under different external circumstances. But we are in the world we’re in: one where the boundless appetites and irrationalities of a small number of billionaires seem increasingly incompatible with the need to maintain a stable civil society.

A new would-be aristocracy was always the visible trajectory of these guys. The only people who couldn't see it were the think-tankies they funded to write papers explaining that their paymasters didn't need market discipline to keep them from sinking into folly or attempting to overthrow democracy.

Today, these Renfields clutch their pearls at the "demonization" of the ultra-rich, calling it "billionaire derangement syndrome." But the only "billionaire derangement syndrome" that matters is the syndrome that affects billionaires and convinces them that they are above any discipline or rules.

---

Hey look at this (permalink)

• BOOM! Billionaires Punched in the Nose Over Paramount-Warner by State Enforcers, Unions https://www.thebignewsletter.com/p/boom-billionaires-punched-in-the

• Don't Take Advice From Your Enemies https://www.hamiltonnolan.com/p/dont-take-advice-from-your-enemies

• Against Money https://press.uchicago.edu/ucp/books/book/chicago/A/bo265118979.html

• Inside the Personal Computer – An Illustrated Introduction in 3 Dimensions https://www.youtube.com/watch?v=ofcXVA4GUm8&t=86s

• Canadian Workers Among the Most Restricted by Non-Compete Clauses https://www.donotpassgo.ca/p/canadian-workers-among-the-most-restricted

---

Object permanence (permalink)

#25yrsago Gadget-friendly chinos https://web.archive.org/web/20010717133013/http://www.usatoday.com/life/cyber/wireless/2001-07-16-smart-pants.htm

#15yrsago Brazilian bodges: “Gambiologia” https://web.archive.org/web/20110720231142/https://www.we-make-money-not-art.com/archives/2011/07/gambiologia.php

#15yrsago Privacy risks in collaborative filters https://blog.citp.princeton.edu/2011/05/24/you-might-also-privacy-risks-collaborative-filtering/

#15yrsago Tenn. state rep: “I carved my initials in my desk in the House, but I don’t understand why it’s news” https://web.archive.org/web/20110715202451/http://www.knoxnews.com/news/2011/jul/11/state-rep-hurley-admits-carving-initials-house-flo/

#15yrsago Who holds the copyright to a picture taken by a monkey? https://www.techdirt.com/2011/07/13/can-we-subpoena-monkey-why-monkey-self-portraits-are-likely-public-domain/

#15yrsago Organization for Security and Co-operation in Europe slams Internet censorship, copyright disconnection https://web.archive.org/web/20121108080007/https://arstechnica.com/tech-policy/2011/07/yet-another-report-internet-disconnections-a-disproportionate-penalty/

#10yrsago Mississippi’s prison town are in danger of collapse, thanks to tiny reforms in the War on Drugs https://www.huffingtonpost.co.uk/entry/mississippi-jails-revenue_n_57100da1e4b06f35cb6f14e8

#10yrsago Pokemon Go players: you have 30 days from signup to opt out of binding arbitration https://web.archive.org/web/20160715142246/https://consumerist.com/2016/07/14/pokemon-go-strips-users-of-their-legal-rights-heres-how-to-opt-out/

#10yrsago Trump makes it easy to forget what a dumpster fire all the other GOP nomination hopefuls were https://www.lrb.co.uk/the-paper/v38/n15/eliot-weinberger/they-could-have-picked

#5yrsago Interop and the Public Interest Internet https://pluralistic.net/2021/07/16/pidgin/#splicers

#1yrago Ellen Ullman's "Close to the Machine" https://pluralistic.net/2025/07/16/beautiful-code/#hackers-disease

---

Upcoming appearances (permalink)

• Edinburgh International Book Festival with Jimmy Wales, Aug 17
  https://www.edbookfest.co.uk/events/the-front-list-cory-doctorow-and-jimmy-wales

• Sydney: The Festival of Dangerous Ideas, Aug 23-24
  https://festivalofdangerousideas.com/cory-doctorow/

• Melbourne: Enshittification at the Wheeler Centre, Aug 25
  https://www.wheelercentre.com/events-tickets/season-2026/cory-doctorow-enshittification

• Brighton: The Reverse Centaur's Guide to Life After AI with Carole Cadwalladr (Brighton Dome), Sep 8
  https://brightondome.org/whats-on/LSC-cory-doctorow-the-reverse-centaurs-guide-to-life-after-ai/

• London: The Reverse Centaur's Guide to Life After AI with Riley Quinn (Foyle's Picadilly), Sep 9
  https://www.foyles.co.uk/events/enshittification-cory-doctorow-riley-quinn

• South Bend: An Evening With Cory Doctorow (Notre Dame), Oct 6
  https://franco.nd.edu/events/2026/10/06/an-evening-with-cory-doctorow/

---

Recent appearances (permalink)

• Talk Tech Bock (Vera Linß)
  https://www.youtube.com/watch?v=3PFjGvQoBgc

• How To Think About AI Before It’s Too Late (This Is Hell)
  https://thisishell.com/episodes/1919

• AI Won't Replace You… But This Might (Deep Focus)
  https://www.youtube.com/watch?v=oorWq_m48AQ

• Who Owns Your Tractor? (Growing the Future)
  https://www.youtube.com/watch?v=IU9eBPUZBI4

• You Bought it, They Break It (What Now? with Trevor Noah)
  https://www.podbean.com/media/share/dir-ir36t-2f4a1ac6

---

Latest books (permalink)

• "The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
  https://us.macmillan.com/books/9780374621568/thereversecentaursguidetolifeafterai/

• "Canny Valley": A limited edition collection of the collages I create for Pluralistic, self-published, September 2025 https://pluralistic.net/2025/09/04/illustrious/#chairman-bruce

• "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

---

Upcoming books (permalink)

• "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027

• "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

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

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

---

Colophon (permalink)

Today's top sources:

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

• A Little Brother short story about DIY insulin PLANNING

---

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

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

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

---

How to get Pluralistic:

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

Pluralistic.net

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

https://pluralistic.net/plura-list

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

https://mamot.fr/@pluralistic

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

Medium (no ads, paywalled):

https://doctorow.medium.com/

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

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

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

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

ISSN: 3066-764X

Today's links

• CARDiac, syntax coloring, view source and vibe code: With great abstraction comes great power comes great responsibility comes great loss of fidelity.
• Hey look at this: Delights to delectate.
• Object permanence: Real elections v reality TV; Copyright troll loses license; Who gets fed housing subsidies? Trump x forced labor.
• Upcoming appearances: London, Edinburgh, Sydney, Melbourne, Brighton, London, South Bend.
• Recent appearances: Where I've been.
• Latest books: You keep readin' em, I'll keep writin' 'em.
• Upcoming books: Like I said, I'll keep writin' 'em.
• Colophon: All the rest.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Hey look at this (permalink)

• Crime Pays: The Egg Bandits Made A Thousand Times the Fine They Just Paid for Price Fixing https://www.thebignewsletter.com/p/crime-pays-the-egg-bandits-made-a

• Digital elbows up https://betakit.com/digital-elbows-up/

• Stochastic wage suppression on gig platforms and how to organize against it https://arxiv.org/abs/2604.15962

• The Hacker Digest – LIFETIME (PDF) https://store.2600.com/collections/subscriptions-renewals/products/the-hacker-digest-lifetime-pdf

• Coprophagia Is Bad For You https://blog.dshr.org/2026/06/coprophagia-is-bad-for-you.html

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Object permanence (permalink)

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

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

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

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

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

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

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

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

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Upcoming appearances (permalink)

• London: Idler Festival, Jul 11
  https://www.idler.co.uk/festival/

• Edinburgh International Book Festival with Jimmy Wales, Aug 17
  https://www.edbookfest.co.uk/events/the-front-list-cory-doctorow-and-jimmy-wales

• Sydney: The Festival of Dangerous Ideas, Aug 23-24
  https://festivalofdangerousideas.com/cory-doctorow/

• Melbourne: Enshittification at the Wheeler Centre, Aug 25
  https://www.wheelercentre.com/events-tickets/season-2026/cory-doctorow-enshittification

• Brighton: The Reverse Centaur's Guide to Life After AI with Carole Cadwalladr (Brighton Dome), Sep 8
  https://brightondome.org/whats-on/LSC-cory-doctorow-the-reverse-centaurs-guide-to-life-after-ai/

• London: The Reverse Centaur's Guide to Life After AI with Riley Quinn (Foyle's Picadilly), Sep 9
  https://www.foyles.co.uk/events/enshittification-cory-doctorow-riley-quinn

• South Bend: An Evening With Cory Doctorow (Notre Dame), Oct 6
  https://franco.nd.edu/events/2026/10/06/an-evening-with-cory-doctorow/

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Recent appearances (permalink)

• Lawfare Daily
  https://www.youtube.com/watch?v=T1KIwaYRs1g

• How to Think About AI (Organized Money)
  https://www.organizedmoney.fm/p/how-to-think-about-ai-with-cory-doctorow

• Breaking Points
  https://www.youtube.com/watch?v=VJmUbkRqXeE

• A.I. Enshittifies Everything (Slate)
  https://slate.com/podcasts/what-next-tbd/2026/06/cory-doctorow-thinks-a-i-is-overvalued-and-overrated-and-still-a-threat

• A World That Just Might Work
  https://aworldthatjustmightwork.com/2026/06/cory-doctorow-ai-use-it-dont-buy-the-hype-dont-feed-the-bubble/

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Latest books (permalink)

• "The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
  https://us.macmillan.com/books/9780374621568/thereversecentaursguidetolifeafterai/

• "Canny Valley": A limited edition collection of the collages I create for Pluralistic, self-published, September 2025 https://pluralistic.net/2025/09/04/illustrious/#chairman-bruce

• "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

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Upcoming books (permalink)

• "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027

• "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

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

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

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Colophon (permalink)

Today's top sources:

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

• A Little Brother short story about DIY insulin PLANNING

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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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Today's links

• The difference between "today's task" and "accretive work": Sometimes, "I got it working" is fine, but sometimes it isn't.
• Hey look at this: Delights to delectate.
• Object permanence: Series of tubes; Paralyzed teen beaten bloody by TSA; "Ultra unreal" Chinese lit; London property prices v Brexit; Biden v surprise billing; "Feeding Ghosts."
• Upcoming appearances: London, Edinburgh, Sydney, Melbourne, Brighton, London, South Bend.
• Recent appearances: Where I've been.
• Latest books: You keep readin' em, I'll keep writin' 'em.
• Upcoming books: Like I said, I'll keep writin' 'em.
• Colophon: All the rest.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Hey look at this (permalink)

• No Touch Money https://www.unpopularfront.news/p/no-touch-money

• After Trump v Slaughter the Answer Is Court Reform https://economicpopulist.substack.com/p/after-trump-v-slaughter-the-answer

• County With 37 Data Centers Asks Schools to ‘Conserve Electricity’ https://www.404media.co/henrico-virginia-datacenter-energy-cost-email/

• The Assault on Congress’s Anti-Monopoly Solution https://prospect.org/2026/07/01/supreme-court-assault-on-congress-anti-monopoly-solution/

• Spain’s Solar Is So Cheap Investors Are Looking for an Exit https://archive.is/EZMV8

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Object permanence (permalink)

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

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

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

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

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

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

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

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

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

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Upcoming appearances (permalink)

• London: Idler Festival, Jul 11
  https://www.idler.co.uk/festival/

• Edinburgh International Book Festival with Jimmy Wales, Aug 17
  https://www.edbookfest.co.uk/events/the-front-list-cory-doctorow-and-jimmy-wales

• Sydney: The Festival of Dangerous Ideas, Aug 23-24
  https://festivalofdangerousideas.com/cory-doctorow/

• Melbourne: Enshittification at the Wheeler Centre, Aug 25
  https://www.wheelercentre.com/events-tickets/season-2026/cory-doctorow-enshittification

• Brighton: The Reverse Centaur's Guide to Life After AI with Carole Cadwalladr (Brighton Dome), Sep 8
  https://brightondome.org/whats-on/LSC-cory-doctorow-the-reverse-centaurs-guide-to-life-after-ai/

• London: The Reverse Centaur's Guide to Life After AI with Riley Quinn (Foyle's Picadilly), Sep 9
  https://www.foyles.co.uk/events/enshittification-cory-doctorow-riley-quinn

• South Bend: An Evening With Cory Doctorow (Notre Dame), Oct 6
  https://franco.nd.edu/events/2026/10/06/an-evening-with-cory-doctorow/

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Recent appearances (permalink)

• Lawfare Daily
  https://www.youtube.com/watch?v=T1KIwaYRs1g

• How to Think About AI (Organized Money)
  https://www.organizedmoney.fm/p/how-to-think-about-ai-with-cory-doctorow

• Breaking Points
  https://www.youtube.com/watch?v=VJmUbkRqXeE

• A.I. Enshittifies Everything (Slate)
  https://slate.com/podcasts/what-next-tbd/2026/06/cory-doctorow-thinks-a-i-is-overvalued-and-overrated-and-still-a-threat

• A World That Just Might Work
  https://aworldthatjustmightwork.com/2026/06/cory-doctorow-ai-use-it-dont-buy-the-hype-dont-feed-the-bubble/

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Latest books (permalink)

• "The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
  https://us.macmillan.com/books/9780374621568/thereversecentaursguidetolifeafterai/

• "Canny Valley": A limited edition collection of the collages I create for Pluralistic, self-published, September 2025 https://pluralistic.net/2025/09/04/illustrious/#chairman-bruce

• "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

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Upcoming books (permalink)

• "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027

• "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

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

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

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Colophon (permalink)

Today's top sources:

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

• A Little Brother short story about DIY insulin PLANNING

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