How Silicon Valley enshittified the internet

Summary

Decoder with Nilay Patel — Episode Summary

Episode Title: How Silicon Valley enshittified the internet
Host: Sarah Jeong (filling in for Nilay Patel)
Guest: Cory Doctorow, author, activist, and critic
Release Date: October 30, 2025

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Overview

This episode of Decoder dives into Cory Doctorow’s central concept of “enshittification”—his viral term for the decline of online platforms from user-friendly to exploitative, profit-extracting entities. Doctorow unpacks not just how and why the internet got so much worse for users, but also the regulatory, legal, and market failures that enabled this process. The conversation explores the historical, economic, and legal roots of enshittification, analyzes the intersection with the rise of AI, and concludes with prescriptions for rebuilding a healthier internet.

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Key Discussion Points & Insights

1. What is "Enshittification"? (Starts [04:11])

• Definition:
  Doctorow describes enshittification as the process by which online platforms—initially optimized for users—degrade as they exploit their dominance to extract value first from users, then from business customers, and finally for their own corporate benefit.
• Origin of the term:
  Born out of a frustrated tweet about TripAdvisor, it stuck due to its humor and accuracy in describing platform decay.

  “Inshidification was just one of those... ways to try and talk about this stuff and bring it home for people.” ([04:20], Cory Doctorow)

• Why now:
  Enshittification isn’t just a product issue—it's the result of eroded market and regulatory discipline:

  “They are bad to us not because they’re worse people, but because they’re less frightened about what will happen if they make things worse.” ([06:54], Doctorow)

2. The Mechanics of Platform Decay (Enshittification) ([07:40])

The Facebook Case Study

• Multi-Stage Process:
  1. Platforms attract users by offering value (often at users’ expense).
  2. Once users are locked in, platforms extract value from business customers (advertisers, publishers), making things worse for users.
  3. After locking in business customers, platforms exploit everyone to maximize profit.
• Notable Breakdown:

  “Facebook has had the same leadership… ran by the same guy… and yet he used to make it better, and now he makes it worse.” ([10:37], Doctorow)

• Lock-In:
  Lock-in is easier in digital platforms than in physical businesses due to network effects and collective action problems.
• Result:
  “...the only way publishers can monetize [is] with Facebook’s rigged ad market… users find that the amount of stuff they asked to see... has dwindled to basically nothing, so that these voids can be filled with stuff people will pay to show them.” ([11:53], Doctorow)

3. Is Enshittification Unique to Tech? ([16:38–24:18])

• Unchecked Capitalism:
  Enshittification is a version of unchecked capitalism, but tech had unique sources of discipline (interoperability, worker power) that have eroded.
• Market and Regulatory Discipline:
  When industries dwindle to a few dominant firms, both market competition and effective regulation collapse.
• The Tech Twist:
  • Interoperability: Used to protect users (ad-blockers, alternative apps), now stymied by IP/DRM laws.
  • Labor: Scarce tech workers once had leverage but widespread layoffs ended that power.
  • Speed: Tech’s universal nature allows rapid shifts in business logic, pricing, and features—accelerating enshittification.
• Memorable Example:
  Chamberlain replacing smart home standards with ad-filled proprietary apps ([17:00], Doctorow)

4. Regulatory and Legal Roots ([29:16–45:36])

• Key Statutes and Cases:
  • Section 230 (CDA): Protects intermediaries from liability for user content, lowering barriers for new platforms.
  • DMCA 1201: Protects DRM, discourages interoperability and user control.
  • Notice & Take-Down, Fair Use (Google Books, Perfect 10 case): Enabled intermediaries and AI training through legal permission for data analysis and copying.
• Doctorow’s Argument:
  The main failure was not regulating mergers:

  “We failed to police intermediary mergers... they bought all the companies that had good businesses because we didn’t stop them when they broke the law.” ([33:25], Doctorow)

• On AI and Fair Use:
  • Doctorow supports fair use and argues that AI training is legally justified, expressing skepticism that expanding copyright would benefit creators over corporations.
• On Labor and Sectoral Bargaining:

  “We do have something that makes workers richer and their bosses poorer. It’s called sectoral bargaining. So if we’re going to do one thing, that should be our one thing.” ([45:19], Doctorow)

5. The AI “Slop” Era & Policy Challenges ([49:03–60:06])

• AI “Slop” and User Content:
  • Sarah raises the concern that user-generated content is being replaced by AI-to-AI “slop”—meaningless, decontextualized text and images.
  • Doctorow: The communicative intent of human creators gets lost; most AI art becomes “hack,” and the novelty fades.
• Economic Reality of AI:
  Doctorow is deeply skeptical about the economic sustainability of the current AI bubble:

  “A lot of these questions, they're like questions about blockchain governance... I would not be surprised if the number of foundation models in a couple of years was zero.” ([58:51], Doctorow)

• AI’s Social Impact:
  AI’s main risk is wage displacement in high-cost sectors (e.g., radiology), but technological limitations and financial unsustainability may cause the sector to collapse.

6. Prescriptions: How Do We Fix It? ([63:13–69:09])

• Policy Suggestions:
  • Administrability: Regulation must be enforceable and simple—a focus on data/identity portability, not just content moderation rules.

    “Maybe the best remedy? Make it easier to leave platforms.” ([63:56], Doctorow)

  • Labor Organizing: Renew collective action—unionize tech workers even in the absence of supportive regulation.

    “There’s never been a better time to do it… We’re gonna have to do it again.” ([68:06], Doctorow)

7. Hope for the Future ([69:17])

• Hope, Not Optimism:

  “I have no optimism because I think optimism is a species of fatalism… I have a lot of hope. Hope, you know, is the belief that if we do something, things might get better.”
  ([69:17], Doctorow)

• Antitrust Movements as Reason for Hope:
  Global coalition-building for antitrust:

  “The law of political gravity has been repealed. Water has started flowing uphill… we can do the same thing back to them in every country. We have antitrust enforcement everywhere…” ([70:52], Doctorow)

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Notable Quotes

• On Stage-By-Stage Enshittification:

  “They leave just the mingiest, kind of most homeopathic residue behind a value that will keep us all stuck into the platform, and then the platform is a pile of shit.” ([06:37], Doctorow)

• On Lock-In:

  “You love your friends, but they’re a giant pain in the ass... As you love those people more than you hate Mark Zuckerberg, Mark Zuckerberg can make things worse for you.” ([11:53], Doctorow)

• On Labor:

  “That’s what Jeff Bezos will do to his programmers... as soon as he’s not afraid of them anymore.” ([66:33], Doctorow)

• On AI Slop:

  “Eeriness, Mark Fisher says, is the seeming of intent without an intender… Clouds have nothing to say to you.” ([51:58], Doctorow)

• On Hope:

  “Hope… is the belief that if we do something, things might get better.” ([69:19], Doctorow)

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Key Timestamps

| Segment | Timestamp | |------------------------------------------|--------------| | Introduction & Background | 01:48–04:08 | | Definition & Origin of Enshittification | 04:11 | | Facebook as Case Study | 10:37 | | Tech vs. General Capitalism | 16:38 | | Regulatory Failure, DRM & Labor | 24:29–24:18 | | Legal Framework, Fair Use, AI Debate | 29:16–45:36 | | “AI Slop”, Bot-to-Bot Content | 49:09 | | Doctorow’s Prescriptions (“What to do”) | 63:13 | | Hope and Reasons for Optimism | 69:17 |

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Memorable Moments

• → Doctorow's blunt summary of Facebook’s decline and Zuckerberg’s role: cheating at Settlers of Catan and “always been a creep.” ([10:37])
• → The “Chamberlain garage door ad” example—shifting from interoperability to user abuse. ([17:00])
• → Lively discussion of why expanding copyright won’t actually help creative workers—the only time Doctorow says he has found himself aligned with the US Copyright Office. ([40:41])
• → Doctorow’s vision of “disinfectifying” the global internet through global antitrust and collective action. ([69:17–73:10])

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Tone & Language

Doctorow and Jeong’s conversation is sharp, witty, and at times irreverent (“pile of shit,” “slop to slop”), but always dense with analysis and critical insight. Doctorow uses vivid metaphors, ranging from the mafia’s love of intermediaries to “Murder Rocks” style emails by Zuckerberg.

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Summary for Listeners

This episode is a masterclass in understanding the decay of digital platforms—not as an accident or necessary stage, but as a direct result of regulatory, legal, and market design choices. Doctorow makes a powerful case for user agency, interoperability, labor organizing, and antitrust as the lodestars for a less “enshittified” internet. If you want to understand why the internet feels broken—and what it would take to fix it—this is essential listening.

Transcript

[Sponsor/Ad Reader]

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[Sarah Jeong]

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[Sarah Jeong]

Hello and welcome to Decoder. This is Sarah Jeong, features Editor at the Verge. I'm standing in for Nilay for one final Thursday episode as he settles back into full time hosting duties. Today we've got a fun one. I'm talking to Cory Doctorow, prolific author, Internet activist, and arguably one of the fiercest tech critics writing today. He has a new book out called why Everything Suddenly Got Worse and what to Do About It. If you want to know what happened to the tech industry and why the products and platforms you use every day feel like they've gotten meaningfully, noticeably more terrible, this is the book that explains it. Inshidification as a term is relatively new. Corey only coined it a few years ago, but it's become a kind of rallying cry among creatives, tech theorists and others trying to make sense of where exactly the Internet went so wrong. And now, with generative AI, it feels like everything in our lives is becoming inshitified in Ways that are plainly obvious to even the most casual user of technology. So you'll also hear Corey and I delve into that intersection between the rise of what we now call AI sloth and inshidification and why it's important that these two themes have so much overlap. Now, I've known Corey for a long time. We've traveled in a lot of the same circles on the Internet for years, writing and debating copyright section 230 and a lot of the other major forces in US law that have shaped the tech industry. And a lot of that comes up in this conversation too, because central to the narrative around inshidification is how tech companies became so big and so powerful that they were able to start abusing their market dominance with little to no consequences. And so insidification, in Corey's eyes, is as much a legal and regulatory story as it is a product one. But which laws and regulations have what kind of effects over time? What kind of effects will they have in the future? What's the best way to curb monopoly power? This was a really fascinating conversation that touches on a lot of decoder themes that come up again and again on the show. And in true Cory fashion, he really does not hold back. I think you're gonna like it. Okay. And shidification author Cory Doctorow. Here we Cory Doctorow, you are the author of the new book why Everything Suddenly Got Worse and what to do about it and many, many other books. Welcome back to Decoder.

[Cory Doctorow]

Thank you very much. It's great to be talking with you again, Sarah.

[Sarah Jeong]

So let's start at the beginning. What is inshitification? Why and how did you coin it? And what do you think that now means in broader Internet culture?

[Cory Doctorow]

You and I have done some similar work over the years with organizations like the Electronic Frontier Foundation. And you know that a big part of that job is just trying to like raise the salience and urgency of questions that are really very abstract and complex and technical. They will eventually become very important to people when you know, everything's on fire. But like, ideally you'd like people to care about it beforehand. So a lot of that job is just like coming up with metaphors and similes and funny words and framing devices and parables and just all kinds of ways to try and talk about this stuff and bring it home for people. And inshidification was just one of those. I had been working through a way of talking about platform decay. One day I needed a word for it. I'd use the word a year before in a bad tempered tweet when TripAdvisor wasn't working for me, when I was on a holiday with my family, I was like, has anyone at TripAdvisor ever been on a trip? This is the most inshittified website I've ever used. It had like 78 trackers. And like, all that was happening when I tried it to load up web pages was I would get like 20 of the trackers loaded and then the pipe would break and I couldn't get any information. And so I knew people liked the word. And so I thought, okay, well, people laughed when I used that word on Twitter last year or whenever it was. I will use it in this article. And the fusion of a complex technical analysis that chimed with people and, you know, this minor license to vulgarity turned out to be a very winning combination. And as to what it means, it's kind of most superficial level is a way of describing platform decay, but its most important part is the causal narrative it brings together. You know, why is this happening? Now? Observationally, we can see that platforms go through this pattern where first they're good to their end users. They find a way to lock those users in at stage one, when they are certain that it's hard for those users to leave, they make things worse for those users in order to make things better for business customers. And that's stage two. And then once the business customers are locked in, then they make things worse for those business customers too. They harvest all the available surplus. They take everything for themselves, for their shareholders and executives. They leave just the mingiest, kind of most homeopathic residue behind a value that will keep us all stuck into the platform, and then the platform is a pile of shit. That pattern, I think, chimes with a lot of people, and I go through case studies in the book. But as I say, I think the most important thing is the part where I explain why it's happening now. How taking away all the forces of discipline, all the sources of punishment that companies would have faced if they had been bad to us before, meant that today they are bad to us. Not because they're worse people than they used to be, but because they're less frightened about what will happen if they make things worse for us to make things better for them. And. And by rounding this in the policy realm, instead of, you know, the iron laws of economics or the great forces of history, it takes it out of realm of things that happen to us and into the realm of things that.

[Sarah Jeong]

We can do something about this process of platform decay. Like, how long has this been apparent to you, I think, that for a lot of people just tuning in, they're coming to realize this, like in the last three, five years. At what point did you peg this as an issue? And would you say that there's like an origin point for all of this beginning to happen?

[Cory Doctorow]

I have noticed a steady decline in the discipline imposed by different external factors on companies and a concomitant rise in their bad behavior. And if there was a turning point where I really saw one of the most important sources of discipline collapse, it was in 2017. And it was when this standards body called the World Wide Web Consortium, or W3C, was pressured by the big movie studios and the big tech companies to fundamentally change how browsers work, to add something called digital rights management to browsers. That's the thing that is supposed to stop you from recording videos. Basically, Netflix and a few of the other big streaming companies, they said, look, if you don't put digital rights management into browsers, then we will no longer allow streaming video in browsers and everyone will have to use apps and the web will die. And the W3C believed them, and they really pushed hard to do this. And the, the problem here is not just that there are a lot of unfair ways in which this limits how we use video. The problem is that the laws that protect digital rights management are so onerous and overreaching that they prevent you from doing lawful things with your browser once there's DRM in there. For example, now it's illegal to change how your browser works so that if you have epilepsy, it checks to see whether there's a strobe effect in the video and dampens that before it can induce a seizure. If you're a security researcher trying to figure out whether this video module allows attackers to harm the 3 billion people who use browsers, you can't investigate that security module. And the penalties for this are like a five year prison sentence and a $500,000 fine. We try very hard to get the W3C to extract a promise from its members to say, okay, we are going to put this in browsers nominally to stop piracy, and we are going to exempt people who modify their browsers to improve accessibility or to discover security defects. And they just refused outright. And the W3C thumbed the scales and did it. And I looked at this and I was like, wow, this public interest Internet institution that has been such a staunch guardian of the idea that technology should serve its, its users and its owners has been cornered to the point where they are taking the other side because they feel that it's if they don't give this away, the web will die altogether. And that was like such a turning point. It was very demoralizing too. I'm still really sad about it.

[Sarah Jeong]

So your book is chock full of specific case studies, examples. What would you describe as the most iconic example of insidification?

[Cory Doctorow]

I think the reference case here has to be Facebook. Not least because Facebook also addresses some of the common objections, which is that, oh, maybe we used to have these heroic founders of these companies who kept the flame, but then when they passed it on to these bloodless ex McKinseyites like Nadella or Pichai, they're the ones who should have fight. I mean, Facebook has had the same leadership since Mark Zuckerberg decided he needed a primitive text interface to non consensually rate the fuckability of Harvard undergraduates. He controls a majority of the voting shares. No one can tell him no. And he presided over its insidification. And it's not like he got worse, right? Like he was always a terrible person. If you've read Sarah Wynne Williams amazing memoir of being Facebook's first international relations person, Careless People, which Facebook has tried to halt the publication of and is going to bankrupt her for publishing, you find out all kinds of things about Mark Zuckerberg that are very unflattering. But I was really struck by the fact that he cheats at Settlers of Catan. He's always been a creep. So you have this company that has always that's been run by the same guy since the beginning. He's always been a rotten guy and yet he used to make it better and now he makes it worse.

[Sarah Jeong]

Can you break down how Facebook got insidified in a multi stage process?

[Cory Doctorow]

Sure. Facebook in 2006 opened up to the general public. You no longer needed a edu address from an American college to sign up. And they had a problem, which was that everyone who might become a Facebook user at that moment was already a MySpace user. And so they made a pitch to those MySpace users. They were like, sure, we know you like MySpace, but did you know it's owned by an evil, crapulent, senescent Australian billionaire immortal vampire named Rupert Murdoch? And that guy spies on you all the time. We're not run by an evil billionaire and we will never spy on you. Come to Facebook, tell us who matters to you. We'll show you the things they post. Right. So you just piled in and they got locked in and Facebook plays lock in on the easy Setting, you know, unlike a company like Uber, say, which has to, you know, light $31 billion on fire over 13 years, losing 41 cents on every dollar they bring in until all the other cab companies have gone under, and we've had a lost decade in transit investment before they can start raising prices and abusing their users and their drivers. Facebook can rely on us to lock ourselves in through something economists call the collective action problem, which is, you know, more easily understood as you love your friends, but they're a giant pain in the ass. And if the six people in your group chat can't agree on what movie you're going to see this Friday, there's no way you're going to agree on when it's time to leave Facebook. And so as you love those people more than you hate Mark Zuckerberg, Mark Zuckerberg can make things worse for you. And that's when we get to stage two, when he goes to business customers and he, you know, gives the advertisers surveillance data on you that he promised he would never collect. And he promises them that he's going to take very small amounts of money, spend all that and more policing ad fraud and target ads to you with exquisite fidelity. And he goes to publishers and he offers them the ability to promote their material to people who never asked to see it, to have it crammed into the eyeballs of people who don't see, subscribe to their feeds and says, just put excerpts from your own website here on Facebook, link back to your own website. We'll give you the free traffic funnel. And those business customers, they get locked into Facebook too. And I think unless you're an economist or unless you run a small business, it's really hard to understand intuitively how easy it is for a supplier to be locked into a purchaser, how, how easy monopsony, which is like the buy side version of Monopoly, is. But, you know, if you have a coffee shop in the office next door is like 20% of your. This tower next door, and then they go out of business and you lose 20% of your receipts overnight, your coffee shop may not survive the month, right? You're gonna have to do layoffs, you're gonna have to get another loan to, you know, carry the coupon on your, on your espresso machines. You're gonna have to like, maybe get rent relief from your landlord and you could be out of business in a couple of weeks. Even though 20% is not a lot, right? It's nowhere near a majority. And certainly, like, as a Purchaser of coffee. If there's like five coffee shops on the block and one of them goes under, you have a 20% reduction. Doesn't even really register, right? You can just get your coffee somewhere else. Monopoly is a lot harder to establish than monopsony. And so these business customers, they get locked in and the advertisers start to find, well, now our ads cost way more, our ad targeting fidelity is way down. And ad fraud is so bad that when Procter and Gamble zeroed out its hundred million dollar a year surveillance ad spend, they saw a 0% drop in sales because all the ads were disappearing into the fraud hole. And publishers, you know, they have to put like the full text of their articles on Facebook now and no links back to their website, otherwise they won't be shown to anyone, much less their subscribers. And they're now fully substitutive, right? And the only way they can monetize that is with Facebook's rigged ad market. And users find that like the amount of stuff that they asked to see in their feed is dwindled to basically nothing. So that these voids can be filled with stuff people will pay to show them. And those people are getting ripped off. This is the equilibrium Mark Zuckerberg wants, right? Where all the available value has been withdrawn. But he has to contend with the fact that this is a very brittle equilibrium, right? The difference between I hate Facebook but I can't seem to stop using it and I hate Facebook and I'm not going to use it anymore is so brittle that if you get like a live stream mass shooting or a whistleblower or privacy scandal like Cambridge Analytica, people will flee. And then the market gets cold feet because they're like, okay, well maybe this is the end of the ride for Facebook. Facebook sees big stock drops and then they panic. But being tech bros, they call it pivoting. And so, you know, one day Mark Zuckerberg arises from his sarcophagus and says, hearken to me, bro. And sisters, I know I told you that the future was arguing with your most racist uncle using this text interface, but actually I'm going to transform you and everyone you love into a legless, sexless, low polygon, heavily surveilled cartoon character so I can imprison you in a virtual world. I stole from a 25 year old cyberpunk novel. I call it the Metaverse, right? And that's, that's end stage inside ification, the giant pile of shit.

[Sarah Jeong]

I mean, in many ways you, when you describe inshidification, it can feel just like we're describing a form of unchecked capitalism. Right? Like things start out good and cheap, cheap or even free, then they have to make money. So they get worse. I remember this being how Walmart's ascendancy was being described in the early 2000s. In your view, is insidification, the idea of insidification specific to tech.

[Cory Doctorow]

Yeah. So unchecked is an important word there. You called it unchecked capitalism. And that is, you know, key here, that when you, when you take away the discipline, the firms act in undisciplined ways. They go hog wild on you. And I think that tech had different sources of discipline to a company like Walmart. Brick and mortar businesses, they have two sources of common discipline. One is markets and the other is regulators. So the discipline of commerce and the discipline of government. And they're pretty closely related, right? When you allow a sector to dwindle to a bare handful of firms or even just one company, they don't have to worry about competitors anymore. When Mark Zuckerberg bought Instagram, you know, his CFO asked him like, why are we giving this 12 person company a billion dollars? And he put it in writing. He sent his CFO an email saying like, well, people leave Facebook, they go to Instagram, they like Instagram better. So to reduce competition, we'll buy Instagram. So those people will remain users of Facebook even if they're not, you know, on the Facebook platform. That's like a confession of guilt, right? Like, the only thing that even the antitrust skeptics who've been running this show on antitrust for 40 years think you should be able punish is the deliberate reduction of competition. You know, which is hard to prove because someone would need to tell you that the reason they're buying a company is to reduce competition. But Mark Zuckerberg's never had a bad idea he didn't put in writing, right? He's the guy who's like, hey Bob, that guy we were thinking about killing, I think we should do it. And definitely it should be a murder. And now that I think about it, I'm really premeditating it. Right? And yet, you know, the Obama DOJ waved that through just like all of the Bushes, DOJs and FTCs wade through all of their mergers and just like Trump1 did with a couple of exceptions. And, and like everyone did except for Biden, right? Who, who for four years did more on antitrust than we'd seen in 40 years. And when you lose the competition, you also lose the regulation because you know, when there's a hundred companies in a sector, they're a rabble, right? They, they can't agree on anything. They, they can't agree what they're going to tell their regulators. They don't have the excess Prof. Get from avoiding what Peter Thiel calls wasteful competition to spend on regulatory adventures. But when the sector is just a handful of companies, they find it very easy to agree. They don't have a collective action problem. And they have so much money because they have divided up the market like the Pope dividing up the new world. Think of, you know, Google giving $20 billion a year to Apple not to make a search engine. And then both of them get to reap super normal profits from not competing on that line of business. You know, and so they can totally transform the policy environment to suit them. And so that's Walmart story. But tech had two other sources of discipline that are distinct to the tech sector as we understood it for the last 25 years. One was interoperability. You know, the only kind of computer we know how to make is that wonderful Turing Complete Universal Von Neumann machine. It can run every program. If some tech boss puts a ten foot pile of shit in something you use, some programmer can give you an 11 foot code ladder to go over top of it. Everything that stops you from installing a third party app or using generic ink or, you know, protecting your privacy while you use a website has a piece of software that could undo that mischief and shift the balance towards you. But the unchecked growth of IP law over the last 40 years, particularly the laws that protect digital rights management, which we were talking about before, these anti circumvention laws in America, it's section 12 one of the digital Millennium Copyright act, those laws have taken that interoperability off the table. And now there's no reason not to go nuts, right? You know, in the old days, if you were thinking about making the ad load on your website more invasive, you also had to contend with the possibility that users would install an ad blocker. You don't have to worry about that for apps because apps are basically websites skinned in the right kind of IP to make it a felony to install an ad blocker. And so the fact that your app is more invasive doesn't spur people to install an ad blocker. They can search, how do I block ads in this app? All they want, the answer they're going to get is we can't. So you know, to give you a really clear example of this company called Chamberlain, they make Garage doors. They got some private equity money. They bought all the other companies that make garage doors. If you have a garage door opener, it doesn't matter what the maker's mark on it is. It's a Chamberlain. They discontinued support for something called HomeKit, which is a standard way for apps to talk to devices in your home. So you could have lots of different apps that let you open your garage door. So now you had to use the Chamberlain app. And the Chamberlain app shows you 7 ads before it lets you open your garage door, right? And you know, like, that's why, why they're so horny to make you stop using the web, right? It's because apps let them abuse you and leave you helpless. And so we lost that source of discipline, and we lost one more source of discipline, the last one, the one that held the line until the very end, which was tech workers. And tech workers were incredibly scarce. They were incredibly productive. There's a National Bureau of Economic Research paper that estimates that the average tech worker was adding a million dollars a year to their boss's bottom line. And so, you know, that's why there was like free kombucha and massages and stuff. It wasn't because they liked programmers. It was because they wanted these people who could walk across the street and get a better job to stay where they were and work every hour that God sent. And so they did. And the problem with relying on a sense of mission from your workers to motivate them is that they feel a sense of mission. And so when you say, well, it's time to initiatify that thing, you missed your mother's funeral to ship, they're like, well, no, I'm not going to do that. And you can't make me. And you can't hire someone else who'll do it there because there's no one else on the job market who can do it. So, you know, fast forward a couple of years. Tech workers think that they're temporarily embarrassed founders, they don't unionize when they have the chance. We get half a million tech layoffs in three years. And now tech bosses don't have to worry about what their workers have to say. These Tron pilled workers who fought for the user, they're suddenly like out of juice. And so, you know, that's the tech specific mechanism. And because it's tech, they can move value around really quickly. Because that Turing completeness, that universality means that a product can have its business logic changed from moment to moment. The prices, the costs, the search rankings, the sorting, they can be different for every user and for every interaction. And so, you know, when tech comes into a sector like, say, nursing now, where they're contract nurses, which are the nurses hospitals like, because they're not union, contract nurses are hired through an app. There's four of them. They all call themselves Uber for Nursing. And because we have regulatory capture, there hasn't been a new privacy law in this country since Ronald Reagan banned the disclosure of your VHS rental histories in 1988. That means that these apps can look up the nurse's credit history. And depending on how much credit card debt you're carrying, you get paid a lower wage because people who have more debt are willing to work for less money. And so that's specific to tech, too. But when an industry becomes technological, nursing's not the tech sector, it gains all the insignificatory potential of tech.

[Sarah Jeong]

We need to take a quick break. We'll be right back.

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[Tom Elias]

Program my name is Tom Elias. I'm one of the co founders at Bedrock Robotics. Bedrock Robotics is creating AI for the built world. We are bringing advanced autonomy to heavy equipment to tackle America's construction crisis. There's a tremendous demand for progress in America through civil projects, yet half a million jobs in construction remain unfilled. We were part of the 2024 AWS Gen AI accelerator program. As soon as we saw it, we knew that we had to apply. The AWS Gen AI Accelerator program supports startups that are building ambitious companies using gen AI and physical AI. The program provides infrastructure support that matches an ambitious scale of growth for companies like Bedrock Robotics. Now, after the accelerator, about a year later, we announced that we raised about $80 million in funding. We are scaling our autonomy to multiple sites. We're making deep investments in technology and partners. We have a lot more clarity on what autonomy we need to build and what systems and techniques and partners we need to make it happen. It's the folks that we have working all together inside Bedrock Robotics, but it's also our partners like Amazon really all trying to work together to figure out what is physical AI and how do we affect the world in a positive way.

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[Sarah Jeong]

We're back with inshidification author Cory Doctorow. Before the break, Corey was walking us through what inshidification is. Some prime examples of what it looks like in practice and the ways in which it feels specific to the tech industry. But there's another dimension of this that I really wanted to explore with Corey, and that's the legal angle. The rise of powerful tech platforms like Google and Facebook is very much intertwined with the many court cases and regulatory battles that set the ground rules for how these companies could operate on the Internet. You'll hear Corey and I throw out the names of a few pivotal court cases in U.S. laws that have become the bedrock of the modern tech industry. And Corey has been on the front lines of these fights for well over a decade now. So I really wanted to ask him about intellectual property, about copyright and fair use, and ultimately where the AI of it all fits in. You're probably one of the most influential figures in the copyleft movement. We've talked a Fair bit about DMC 1201. That's the DRM provision. But there's another very famous and highly litigated section of the dmca. And that would be the thing that, you know, in this age of streamers and YouTube and so on and so forth, everyone is aware of this one notice and take down. A lot of the case law that was pioneered in the 2000s, early 2000s, has to do with notice and takedown has to do with cda, which is different but related, has to do with. Honestly, the underrated one would be Google Books, Perfect 10. The cases that sort of solidified fair use. These cases, along with low interest rates, of course, and a bunch of other societal sort of general environmental things led to the rise of tech and allowed a handful of firms to gain almost monopolistic control over markets. I also think that AI wouldn't exist without these cases. And kind of we've been talking around AI with all of this. Like the degradation of the power of the tech workers is very much linked to this. I think that with inshidification sort of taking off as a term, a lot of people conflate it with AI slop. I even hear sort of the same wordplay, sloppification, the slop a scene. What role does AI play in the history of intridification? And also, was fair use worth it? That was the flip side of Copyleft.

[Cory Doctorow]

I want to dispute the frame there. I do think that what we're talking about here is limitations on intermediary liabilities. So actually let me take a step back here and just talk about intermediation, disintermediation. Because that was the thing we were all excited about in the 1990s. Disintermediation. Why were we excited about disintermediation? It's not because intermediaries are per se bad. In the book I tell the story of this writer I grew up idolizing, this guy called Crad Kodny, who was a writer in Toronto, kind of an outsider artist. He would write his own stories, he would edit them himself, he would typeset them, he would bind them, he would print them, he would sell them on street corners with a sign around his neck that said very famous Canadian author by my books. And like he would use the whole octorial experience like he secretly recorded the drunks who picked on him and sold cassette tapes of the best drunk nonsense he put up with. You can download them for the Internet Archive. On the street with Craig Kolodny. And as much as I love Crad's works, there are a lot of writers I want to hear from who are never going to do that stuff. It's fine that we have booksellers and printers and editors and distributors and marketers. All that stuff is fine. So why were we so keen on disintermediation then? It's not because intermediaries are a problem. It's because the usurpation of the relationship between the parties that the intermediary is connecting turns what should be a kind of utility function into a gatekeeper. And powerful intermediaries I think are a scourge. Powerful intermediaries, like if you ever look at like kind of what businesses the mafia goes into, it's usually powerful intermediaries because if you can get in there and start abusing people, that's your opportunity to really rake in the money from both sides of the two sided market. You know, things. That's why like the mafia were in jukeboxes, right? Because being the intermediary is a really important role. All of the limitations on intermediary liability that you're talking about, about. So CDA 230, that says that for non copyright, non criminal matters, unlawful speech acts by parties who use your platform are their problem and not your problem, right? If someone, someone libels someone else on your platform, that's, that's between that person and the person they libeled. It's not your business. You do not have to hold review and then assess all the speech that every user on your platform wants to engage in. In order to host a place where people can talk to each other any more than like a restaurateur needs to make sure that everyone at every table is like talking nice and no one's talking about a friend, right? It's just like not there, not your business as the person who convenes the speech forum. So there's that, there's copyright intermediary limitations. So notice and takedown that says so long as you expeditiously remove things after being informed that they're infringing, you can't be held liable if they turn out to infringe. There's that perfect 10 case and the other fair use cases, the Google Books case, that say that doing things like making a transient copy of a work for the purpose of indexing it are lawful. And the thing about that is all of that makes being an intermediary cheaper and easier. And if you want to have a robust competitive intermediary sector, you do not want being an intermediary to be more expensive and harder. Because what that does is it creates a winner take all, first mover, deepest pockets wins forever market, which is the market we have. So how do we get this market, even though we took such care to protect the ability of new entries into intermediation? And the Internet needs intermediaries because like, compared with publishing, being on the Internet is especially hard and esoteric, right? Running your own file server, running your own web server, running your own mail server, running your own DNS server, running your own content distribution network, running Your own anti DDoS network, your payment processor, right? That stuff is just so intense that if we said only people who can do all of that for themselves, like gnawing their own web server out of a whole log with their own teeth, are allowed to be on the Internet. No one would be on the Internet except for the very largest corporations. It wasn't that we like failed to police intermediary conduct, it was that we failed to police intermediary mergers, right? So like how did Amazon get so big? It wasn't by being the best in every sector, right? Amazon bought all of its competitors and they bought them in the dirtiest way possible. So in the book I tell the story of a startup called Diapers.com it was doing really well. It was the leading retailer of goods for new parents and Amazon couldn't crack that vertical. So they made a purchase offer and they were like, no, you know what, we've got a good business here. We won't sell to you. So Amazon broke antitrust law. They did something called predatory pricing, where they sold goods for newborns below cost to the tune of $200 million in a couple of months. They drove Diapers.com out of business. They bought them for pennies on the dollar. Diapers.com's investors sold to Amazon even though they had a better offer from Walmart because they were afraid of what Amazon would do to their other startup startups if they didn't sell to Amazon. Amazon then shut down diapers.com and no one ever said no to Amazon. How did Amazon come to dominate every vertical? They bought all the companies that had good businesses and they were able to buy all the companies that had good businesses because we didn't stop them when they broke the law. And so they terrorized everyone who might come close to them. In investing circles they call it the kill zone. Anything adjacent to a big tech company and they won't back any company now that is in the kill zone. Google. Google has had one successful consumer product in the previous millennium, right? They had a great search engine and then everything they made in house was just a failure. Like Orchid and Google and Google Video and Reader, all these things they shut down. Meanwhile, all their successful products, maps, video, satellite imagery, documents, document collaboration, cloud servers, server management, customer service, all of that, this stuff they bought from someone else. Except for the Hotmail clone, right? Except for Gmail, which they copied from Hotmail, right? So Google would not have been a kind of eternally dominant firm if we'd made it innovate in house. It would have been, you know, to use a little MBA jargon, it would have been creatively destroyed, right? It would have been disrupted by someone else and instead they got to buy all the shelf space for a search engine. They made their own search engine. Worse. In the DOJ case last year, we saw that in 2019, they deliberately worsened the search engine so that you would have to search more than once and they could show you ads like each time you searched so they could make their search results worse and make more money. That's how we got here, right? It's not because of fair use, right? It's not because of limitations on intermediary liability. There's a much more proximate causal effect to monopoly than these things like how firms conduct themselves. I think that the claim that the growth of monopolies is related to anything other than the drawdown of anti monopoly law is an Extraordinary claim, and it requires extraordinary evidence. It's like, we used to not have a rat problem because we had rat poison. And then these economists said, stop putting down rat poison. Rats are eating our face off. And they're like, how can you be sure it was taking away the rat poison? I think our starting point should be the rat poison here, right? So. So as to AI, AI, I think you're right that without the limitations on liability, we wouldn't have AI, you know, particularly the fair use stuff. But if you think about what you get from the lawfulness of the things that are involved in AI training, so indexing and making transient copies of work for the purposes of analysis. Like, if you ever want to go look up what CBS's DEI policy used to be before they caved into Trump, you want people to be scraping and retaining copies of works, right? Like, without permission. If you want to have computational linguistics, if you want to have that kid in Austria who scraped all the web prices of the two major grocers and showed that they were moving in lockstep and that they were colluding to rig prices, we need scraping, right? So what about the analysis? Right. What about counting the stuff in the documents, which is stage two of. Of training, right? Training run. Well, again, like, do we really want to say counting things in copyrighted works requires permission? You know, I know Anthropic just settled this giant case, but that was because they pirated the books, not because they counted the words in them, right? If you go to the flea market and buy a pirate CD and then count the number of adverbs, the CD might be illegal, but your tally of the adverbs is not. And then finally, there's publishing a literary work, right? That's what a model is, a piece of software. That's why software is copyrightable. It's a literary work.

[Sarah Jeong]

Work.

[Cory Doctorow]

You publish a literary work full of facts about other literary works. Well, if you like dictionaries, encyclopedias, bibliographies, like books of facts about other copyrighted works, you probably want them to be legal. But, you know, more importantly, and back to this idea that we allowed monopolies to form, it wasn't just in tech, where we saw those monopolies, also in media. And, you know, we creative workers, you and me, we sell into a market with five publishers, four studios, three labels, two companies that control all the apps, and one company that controls all the ebooks and audiobooks. And if we were to get a new copyright, that said we can control training. They just change their standard deal to say, okay, you can control training and to do business with us, you have to let us have your training rights. Right? Giving a bullied kid extra lunch money doesn't buy them lunch. It just transfers the lunch money to the bullies. Meanwhile. Well, for the first time in my 25 years as a digital activist, I'm on the same side as the US Copyright Office, which has said things made by AI don't have a copyright. Which, you know, great, like, only things made by humans get a copyright. That's why the monkey selfie isn't copyrighted. And you know what? Like, the only thing our bosses hate more than paying us is people taking the stuff we make for them without paying them. And if we tell them the only way you can stop people from taking the stuff you produce is to pay us to make it, they're just going to pay us. Right? Like, we actually have an answer to the AI problem. It's not an answer to the energy problem. It's not an answer to the fact that $700 billion in capex has been spent in an industry that's bringing in $45 billion gross revenue annually and the crash is going to kill us all. But it is an answer to, like, the specific issue of creative workers. When was the last time we had a really easy answer where the US Copyright Office was like, here's the thing that we're going to do, and it's going to be make creators richer. Like, not in my memory. We should just go, like, stand in line behind the Library of Congress and go, like what they said. Right? We finally got an answer. But, you know, let me, let me put it this way. What if there was zero memorization in AI, would you, would, would your worries go away?

[Sarah Jeong]

I mean, I don't, I don't know. Right? Like, it is, it is. The reason why I am pushing you on this is because, I don't know. It is, it is like, it is a. It is a source of eternal stress.

[Cory Doctorow]

For me when I talk to people who I like and respect. Really worried about AI and make a good case against it. Someone like, say, Molly Crabapple. I think if, if you ask Molly, and I believe when I did ask her this, you know, if the AI didn't memorize anything, would you still be opposed to it? Her answer was yes. So I don't think, like, I don't think that people in the anthropic case, I don't think the, the, you know, I know the New York Times made a big deal out of, out of memorization I don't think Salzberger wants to pay writers. You know, I don't think he's doing this to pay writers. Right. He's not on our side. Take another step back right now. I don't think copyright prohibits AI training, but it could, right? Like, it didn't come down off a mountain on two stone tablets. So we could write a new copyright. So if we're going to talk about, like writing a new law, if we're going to say like we artists are going to go and get Congress to make a new law to benefit us, well, we've only seen one group of artists successfully resist AI and ensure that their rights and prerogatives would be preserved. And it was the Writer's Guild. And the way that they did it is because they have a carve out to the Taft Hartley act that allows them to do sectoral bargaining. And so all of the workers who write screenplays are represented against all of the studios in one union. Even though they're freelancers, they're, they're all protected under one bargain. And that used to be common. The Taft Hartley act outlawed it. So if we're going to make a new law in order to protect artists. Right. Well, we can make the, the broader copyright law, which our bosses love, and that should make us very suspicious. The thing that your boss wants is never for. Right. Or we could do the thing our bosses hate and that every other worker in America wants, which is sectoral bargaining. And so, yeah, if we've got like our bosses on our side, it'd probably be easier to get the law passed than, than if it was just us. But it's not just us. It's us and every other worker briefing for sectoral bargaining. Right. And, you know, unlike copyright, which we have expanded monotonically for 40 years, notwithstanding these, these fair use cases, which are important but are peripheral to the larger story of copyright, Copyright rate lasts longer, covers more kinds of works, covers more uses, and has done so consistently for 40 years. The size of the entertainment industry is larger than it's ever been and the share of money going to creative workers in real terms and as a proportion of the, the, the total pie that's gotten so much bigger from this has gone down. Right? So, like, maybe this will be the first time we've ever passed a copyright law that makes artists richer and corporations poorer, poor, I wouldn't bet on it. Meanwhile, we do have something that makes workers richer and their bosses poorer. It's called sectoral bargaining. So if we're going to do One thing. That should be our one thing.

[Sarah Jeong]

So you were just on stage at the Brooklyn Public Library with former FTC chair Lina Khan as part of your book tour.

[Cory Doctorow]

My hero.

[Sarah Jeong]

Everyone loves her for the Click through unsubscribe.

[Cory Doctorow]

Click to cancel.

[Sarah Jeong]

Yeah, click to cancel.

[Cory Doctorow]

A banger.

[Sarah Jeong]

There is not a single person, real person in this country who hated that rule. And it is an eternal tragedy like a real marker of where the admin state is that that got blocked. So with Khan out of office and we're now in the second Trump administration, we have an FTC chair who a lot of questionable things going on over at the ftc.

[Cory Doctorow]

But like his major project is a snitch line for wokeness. He scrapped all their enforcement action and replaced it with a snitch line for employees to rat each other out for wokeness.

[Sarah Jeong]

Do you think that we missed an opportunity here to more aggressively regulate the tech industry?

[Cory Doctorow]

Yeah, we definitely missed an opportunity. I mean we, they did as much as they could. But you know, the Biden administration was very divided on this. You know, I don't think Biden went from a career serving corporate interests as a senator and as a congressman into becoming a flaming anti corporate guy. I think that the party politics of the Democrats dictated that he had to give key appointments to people who came out of the Sanders Warren wing and that's how he got the antitrust. And then they never talked about it. They did all kinds of stuff and they never talked about it. They, you know, Trump talks about stuff he hasn't even done and he's, he's out there jawboning about it. Biden, they really hid that light under a bushel and Harris did not campaign on it at all. But I do think there's a weird silver lining to Trump. He is a very dark cloud to have produced a silver lining. But you know, I was EFF's European director. I worked in 31 countries in that capacity. And everywhere I went, when we talked about making better Internet policy and doing things like getting rid of anti circumvention law and making it legal for the people who lived in that country to fix the products Americans delivered to them so that they didn't steal their data and they didn't rip them off and they, they were better to use and you could plug other things in them and so on, they would say, well, if we passed a law like that, the US Trade representatives made it very clear that we would face tariffs from the United States if we did this. Well, you know, like if I threaten to burn your house down. If you don't do what I say and then I burn your house down, you don't have to keep doing what I say. And, and Trump's made it so clear that tech is like an arm of the state. Right. Like Microsoft is cutting off the International Criminal Court's chief prosecutors outlook and deleting all his like court files because Trump doesn't like him. Right. So you have these projects like Eurostack in, in Europe where they're putting a lot of money and energy into cloning tech silos, American tech silos in open source. But what they haven't given any thought to is how you migrate people out of those tech silos. You know, Apple and Google and Oracle and so on, they're not going to help you move your data. They're going to do everything they can to lock that data in. So it's kind of like they're, they're building housing for people in East Berlin, but they're building it in West Berlin in. And they haven't figured out what they're going to do about the wall. And Article 6 of the Copyright Directive, which mirrors Section 121 of the DMCA, makes it illegal to circumvent and, and is the primary impediment to this was passed under threats of tariffs. So now is the time to get rid of that damn law. And you know, I don't think we've ever been closer to it than we are now.

[Sarah Jeong]

All right, Highly, highly specific question. Addie Robertson really wanted, wanted me to ask this one.

[Cory Doctorow]

Okay.

[Sarah Jeong]

It's that what we're seeing with like.

[Sponsor/Ad Reader]

Especially.

[Sarah Jeong]

The sort of Persona type chatbots where you sort of like you build your AI girlfriend or whatever, but also like these social media networks that they're starting to launch that are just, the AI is built into it and then you do the AI at other people, you just create slop and then you slop at other people. Where do you think things are going with sort of the framework around the Internet, that regulation and copyright and CDA 230 and so on and so forth. They're all built around the idea that user generated content is going up and users are talking to users now we're looking at slop to slop. Right. And you agree that it's like that's not.

[Cory Doctorow]

Yeah.

[Sarah Jeong]

People are not speaking the slop. People are not themselves the creators of the slop to a degree.

[Sponsor/Ad Reader]

Right.

[Sarah Jeong]

Like if you modify the slop to a certain degree, then you've got enough, the copyright offices, you've got Enough human intervention where it is now registrable work. But let's just say pure slop to slop pure. Like we are modifying bots to talk to each other. To what extent is that all changing going to affect how we look at policy, how we look at regulation, and so forth?

[Cory Doctorow]

There's two different things I want to say about this. So one is about the likely outcome of AI and one is about the thing that you fainted at there with the. What is the nature of slop? Right. How expressive is it? I don't like AI art. And the reason I don't like AI art is because I think art is the. It starts with someone who has a big, irreducible, numinous, complex emotion, and they try to infuse it into some intermediary medium, like a sculpture or dance or a book or a song or a image, in the hopes that it causes a facsimile of that emotion to materialize in someone else's mind when they experience it. And AI doesn't have any of those things. And your prompt is, you know, if you prompt an AI to do something, the prompt, assuming it's quite short, you know, it could be quite long, you could write a whole book as a prompt, right? That might be very communicative. But if you're writing two sentences, then those two sentences are diluted across a million pixels or 100,000 words, and basically the communicative intent of the work becomes undetectable. And this is why I think we call it inhuman or eerie. You know, eeriness, Mark Fisher says, is the seeming of intent without an intender. Right. In some ways, when you look at AI and you see a picture, it's as though a very realistic image is formed in the clouds. It can be aesthetically striking, but the clouds have nothing to say to you.

[Sarah Jeong]

You.

[Cory Doctorow]

Right? And we are habitual imputers of intent to words and images because our experience of them is that every set of words has a speaker and every image has an image producer, a painter, a drawer. But it doesn't have to anymore. And very quickly, I think a lot of that novelty and that strikingness has worn off. It's become very hack to make this stuff. And so as to how communicative is AI, I think it depends, right? It really depends on to what extent the communicative intent of the prompter is visible through it. I don't want to foreclose on the possibility that AI could be a communicative act, Right. It's a very fact intensive question. And it's tied into these questions of aesthetics. In some ways, though, I think it doesn't matter because I don't think that the AI bubble is going to last much longer. Longer, right. I think that, that a lot of these questions, they're like questions about blockchain governance, right? What will we do when all of our institutions are run on the blockchain? How, like, how does limited liability work for a dao, Right? Like, those were questions that people put a lot of energy into. And I spent a couple of years kind of wasting my breath trying to explain to people why I thought AI was just, or rather crypto was only ever a way to do speculation and money laundering and had no greater technological significance. And, and now it's very clear, right? Like even the people who are giant crypto boosters are just like, yes, it's allowed us to perfect gambling that no one, no one's talking about using blockchain to like keep slave labor out of the cacao supply chain anymore, right? All that stuff is just gone. And you know, when you look at the foundations of AI right now, it's economic foundations. Seven companies are 30% of the S&P 500. Their capital outlay is in the 700 billion dollar range. Their gross revenues are 45 billion dollars a year at most. And that includes just the sweatiest goddamn accounting tricks you can imagine. So like that's Microsoft saying, oh, we gave $10 billion in Azure credits to OpenAI and then OpenAI gave them back to us. That's $10 billion in revenue. That's like Starbucks giving you a gift certificate for a latte and then you redeeming it and then booking it as revenue. Right? Except it's $10 billion and it's $10 billion out of $45 billion. And they're like, well, it's okay because we'll recoup that investment before these assets depreciate. They say the assets depreciate over five years. Some independent work out of the Princeton group that, that studies this stuff says it's two years. So these assets are going to be cooked in two years. They burn out at an incredible rate. And the, the revenue model that they've projected for this stuff, it's not the stuff that we're worried about here. Deep fake porn slop, election disinformation. It's displacing wages, right? And so I think if you want to understand the like, political economy of, of AI you always have to ask yourself, what is the total wage bill of everyone who stands to lose their job from this AI application. So while it's really gross that they took stuff from illustrators in a bid to, to bankrupt illustrators and that The CTO of OpenAI went on stage and said some creative jobs never should have existed, it's not economically significant to anyone except those illustrators. Because the total wage bill for every illustrator working today is like rounds to zero against the budgets that they're using to train these models. And so it's a demo, right? Deepfake porn, like, again, like all the money being generated by deepfake porn adds up to nothing compared to the AI budgets. You know, election disinformation. You know that famously high waged sector that is election disinformation, right? Zero out all those wage bills, you get nothing back. And so what you have to look at is what AI does in high wage sectors. So can AI be a software engineer? Well, AI can definitely write code. It needs review and so on, and we can argue about how good that code is. But AI can't be a software engineer. Software engineering requires a very wide and a very long context window, because software engineering is not writing modules, it's assembling modules and thinking through the logical connections between them, how they chain together, how they handle exceptions, where inputs come in, where outputs go out, how they iterate between each other, and so on. And AI does not scale context. Right? Adding a linear amount of context to AI adds an exponential amount of compute to AI. This is why I kept losing count of how many fingers you have is, because by the time it counted all the way to five, had lost count again. Right. And so it just kept adding fingers. Right? This is why you, you see it being unable to like tell you how many states have an R in their name and so on. These are all context window problems. And they're, yes, they're quote, unquote hallucinations, but they're hallucinations related to this context issue. And it's not a thing that we have a theoretical basis for, for, for fixing using the kind of stuff we're doing now. Next word guessing programs are not good at holding context. So I don't think it's going to replace software engineers. They will fire a lot of software engineers and replace them with, with chatbots. The chatbots can't do their jobs, right. And, and actually, you know, it's worse than like firing programmers who do work that we need and replacing with chatbots that do that work badly. It's like the foundation model's going dark and then no one doing that job that's a, that's even worse, right, than it being done badly. And the same goes for radiologists. No one's talking about, about taking the radiologist who examines 100x rays a day and giving them an AI co pilot that asks them to look again at two of them so that their output falls. They're saying fire. Like 90% of your radiologists who have a $30 billion per year wage bill in the United States. It's a good number, right? Find you know, 100 of those people and you're cooking. 100 of those professions you're cooking, but they're saying fire. 90% of your radiologists have the ones that remain rubber stamped the, the radiology reports at a rate that they cannot possibly have examined them and then turn them into the accountability sync when someone dies of cancer, right? So you look at all of all of those foundational problems with AI and you look at the answers that the AI sector has, like maybe if we keep shoveling words into the word guessing program, it will become intelligent. Well, that's like saying maybe if we keep breeding these horses to run faster, one of them will give birth to a locomotive motive. Right? Intelligence is not word guessing with more words. It's they're unrelated to one another. It is a separate problem to solve. It's not that word guessing programs can't do impressive things. It's just that they can't do the things that justify a 700 billion dollar capex and opex that is so high that even if you could zero at the Capex by taking all these companies through bankruptcy and selling off their assets at $0.10 on the $$, no one could afford to run those models anyway because no one would pay enough for the things that those models are producing. And so I would not be surprised if the number of foundation models in a couple of years was zero. It might be larger, but I would not be surprised if it was zero. The open source models are going to stay forever and we'll do really cool and interesting things with them, including terrible things like slop. But you know, you know, no one's even started optimizing those except for Chinese hackers who can't get real GPUs because the US has sanctioned them. So they're the ones who are actually going out and figuring out how to reduce the compute load and programs. And you know, periodically they bust out something like Deep Seek and everyone goes nuts. And Nvidia loses $600 billion off its market cap in 24 hours. And you know, you love to see it. But like, we'll figure out all kinds of cool ways to use those open source models, especially when you can buy GPUs for 10 cents on the dollar dollar and there's a bunch of newly unemployed applied statisticians looking for work. We'll find really cool things to do with it. And maybe those questions will become germane then, but they won't be germane in the sense that they are now. Because it won't be like the entire US economy is a bet on what we do about this stuff because the entire US economy will be in ashes at that point. So we'll have a totally different political economy when we're considering those questions.

[Sarah Jeong]

We need to take another quick break. We'll be right back. Support for the show comes from Charles Schwab at Schwab.

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[Sarah Jeong]

We all have moments where we could have done better. Like cutting your own hair. Yikes.

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Ouch.

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Coulda done better. Same goes for where you invest. Level up and invest smarter with Schwab. Get market insights, education and human help when you need it. Learn [e-mail] if it seems like AI is touching just about every part of your life these days, you aren't imagining things. It's all up in your streaming services. It's all up in your job search. And now it's even in your doctor's office.

[Cory Doctorow]

It can perform exceptionally well, kind of almost in a superhuman way on these specific, very challenging, complex clinical cases.

[Sarah Jeong]

This week on Explain it to Me When AI Meets Medicine.

[Cory Doctorow]

And I think it can be potentially revolutionary and transformative for people if they use it in the right way.

[Sarah Jeong]

And when it doesn't compute 1 in.

[Cory Doctorow]

5 around 20% of Americans Americans said that they had turned to a chatbot for advice that later turned out to be incorrect.

[Sarah Jeong]

New Episodes Sundays Wherever you get your podcasts. We're back with insidification author Cory Doctorow. Before the break, we were discussing the legal and regulatory side of the problem problem and how the intersection of inshidification and generative AI feels like it's taking over the modern Internet. But now I wanted to ask Corey about the second half of the title Twist book, the part where we try to figure out what, if anything, we can actually do about any of this. So your book's final third or so is prescriptive. It's what do we do about this? You give some thoughts on how we might get out of the current situation we're in, what it might take to pull it off. Like what do we do about insidification?

[Cory Doctorow]

The big question when we're talking about tech regulation is administrability. And it's been the great defect of tech regulation to date. And when people who understand both regulation and tech argue with people who only understand regulation or who only understand tech, often you end up in an argument about administrability. So like where you have people saying, well, I know what we'll do do. We'll make it illegal to have hate speech on the platform and harassment. We'll make the platforms responsible for it. We'll make them go and make them find the hate speech and the harassment and get rid of it. If you're thinking about this from a policy perspective, this gets really hard because you have to agree a definition of hate speech. You have to investigate an accusation of hate speech and agree whether it meets that definition. Then you have to make a technical determination about whether the firm conducted itself in a way that was, was that was sufficient, or whether this arose out of negligence or malice. And that's a multi year process. And it's fine to have multi year processes for some things like probate, right, because you only die once. But people are harassed on platforms a thousand times a second. And so this is just a bad administration mismatch. And it misses the real question, which is why do people who suffer hate speech and harassment stay on platforms? And it's because the only thing worse than being being a member of a disfavored minority who faces harassment and hate speech is being a member of a disfavored minority who faces harassment and hate speech and being isolated from the people who matter to you. So what if we just make it easier to Leave the platforms, right? We have number portability for our phones. You know, if you want to switch from T Mobile to, you know, Google, Fi, you do a little administrative work and three seconds later you're, you're on a different network. No one's ever called anyone else up and said, hey, you wouldn't believe who SIM is in my phone now. It just doesn't matter, right? We have in like the, the legacy networks, they're all designed as silos, right? Twitter, Facebook, TikTok. But modern networks, Blue Sky, Mastodon, they're designed for, for identity portability. You know, on Mastodon, you click a link, you get a little thing that's like a little text file. It's got everyone who follows you, everyone you follow, all your blocks and mutes and so on. You put that on a different server, it just all moves over like that. We could make Twitter, you know, support that and then give those files to users who want to leave Twitter and want to go somewhere else so that they could talk to the people who they left behind on Twitter and, you know, read what those people are saying, but not be under Elon Musk's jurisdiction anymore. And you know, if we have a dispute about this and like, you come to me and I'm the regulator and you say Musk never gave me my little data file, I don't have to adjudicate any questions, I just go to Musk and I say, look, I know you say you gave Sarah her file. She says, you didn't escrow it with me and I'll give it to her. And like one person could administer 100 million users complaints right, in real time with like delays of minutes. And every time a platform boss did something that was bad to their users, they would lose users. And so maybe they get the message, although I wouldn't bet on it because these guys are very stupid. And so maybe they go out of business finally, maybe they'd stop shambling around these zombies who've got their users locked inside of them. Them who, you know, don't die, even though everybody hates what they're offering, right? That, that I think makes for a very good remedy. And I'll, I'll mention one other thing that's less crisp, but I think very important to this moment, which is labor organizing. So tech workers didn't organize when they had the chance, when they were scarce. And, and that's the paradox of scarcity driven work worker power is that workers don't feel like they need a union in when they're scarce because they're treated well when they're scarce, they don't look ahead far enough to what happens when they're not scarce. We know what happens to workers for tech companies who aren't scarce because that's warehouse workers and Chinese factory workers and delivery drivers. These are the people who have suicide nets at their workplaces, who pee in jars, who are injured at three times the national average. That's what Jeff Bezos will do to his programmers. That's what Tim Cook will do to his programmers as soon as he's not afraid of them anymore. Right. Because that's what he does to workers he's not afraid of. So it can be very disheartening to think about forming a union now, even though there are more workers who want to be in a union than at any time since the Carter administration. And opinion of unions is higher than it's been at any time since the Carter administration. And the unions have larger cash reserves than they've had since the Carter administration. But all of that notwithstanding, Trump has fired so much of the National Labor Relations Board that they're not. They no longer have a quorum. They can't act anymore. Right. They can pursue old court cases, which is how we just got this wonderful judgment that says Amazon drivers work for Amazon and not for the contractors they use as cutouts. But unfair labor practices can't be adjudicated anymore. But Trump has made a really important category error here. He thinks the reason we have unions is that we have labor law, and obviously it's backwards. We had unions for a long time before it was legal to be in a union. They fought these incredible violent pitch battles in the streets and eventually capital sued for peace. Right. They were like, we need a labor peace here. And the National Labor Relations act is a. Is a compromise. Sure, a lot of it is about what bosses can and can't do to workers, but as much of it is about what workers can and can't do to bosses. And I'll give you one guess which half of that law has been enforced most vigorously since it was passed. You know, when you fire the referee, you don't have to end the game, but you certainly don't have to play by the rules. Rules. And we are back where we were in living memory when we were making unions without support of the state. And there's never been a better time to do it. And there are people alive today not who are part of that movement, but who are trained by people part of that movement. No one's being asked to recover the lost Praxis of a fallen civilization. You don't need to figure out how to, like, embalm a pharaoh, right? You just need to figure out how to do what our forebears did, did when they unionized a century ago. We're gonna have to do it again.

[Sarah Jeong]

One more question. What makes you optimistic about our ability to make the Internet less shitty?

[Cory Doctorow]

So I have no optimism because I think optimism is a species of fatalism. It's the belief that things are going to get better no matter what we do. I also have no pessimism because I think things won't get worse no matter what we do. I have a lot of hope. Hope, you know, the belief that if we do something, things might get better. And you know, as a. When I'm being a novelist, which is the other thing I do, I can plot a course from A to Z and, and show you how we're going to get all the way to the end state we want. But when I'm an activist, I can never see my way to A to Z. All I can see is maybe the next move and maybe the move after that, because I'm down here, you know, way below the, the peak I want to attain. And most of the terrain above me is occluded because of my vantage point. And if I can ascend that gradient even a couple of steps, the amount of terrain that I can now survey grows and I can see other things that I can do. And this moment where people are angrier about tech and about oligarchy than they've ever been. This moment where against all received wisdom of political science, countries all over the world are doing, doing antitrust. Political scientists will tell you that things that billionaires don't want do not happen. It doesn't matter how popular they are in the public. The policy preferences of economic elites determine policy outcomes. Big empirical studies of thousands of policy outcomes that conclude this. And yet we are getting antitrust action over the last seven or eight years, not just in the U.S. in Canada, the Canadian Competition Bureau had pursued three merger review cases in its history, and it succeeded nine ever. And in 2024, Justin Trudeau whipped his caucus to deliver some of the most expensive powers of any competition bureau in the world and give them a giant budget to use it. In the UK, we saw the Competition and Markets Authority doing stuff that just like, was off the charts in terms of its ambition. And that was under a series of conservative governments that were each more shambolic than the last, including one that only lasted for 40 days. Days. And yet they were doing it. The EU has done it along with EU member states, Germany, Spain, France. We've seen it in South Korea and Japan. And you know, here's a weird thing. The Marshall Plan involved transposing American antitrust law into the law books of Japan, South Korea and Europe, which means that all the cases that work in the US work there too, and vice versa. And Japan and South Korea took a European case and ran it again in their courts against Apple and won gigantic settlements out of Apple on that basis. So we have this like ability to compose these coalitions of the willing now that we couldn't do before when, you know, Germans were angry about John D. Rockefeller and how he was abusing their port system and Americans were angry about how he was abusing their refineries. You know, they couldn't share tactics, but Apple, Google, Oracle, Facebook, they do the same thing in every country. And so many countries have the same antitrust laws. So we can do the same thing back to them in every country. Country. We have antitrust enforcement in Singapore and in China, where the cyberspace directive bans Chinese tech companies from blocking new market entry because Xi Jinping doesn't see those companies as his soft power agents abroad. He sees them as his competitors and he wants to take them down several pegs. So something's changed. The law of political gravity has been repealed. Water has started flowing uphill. And so. So we have this big move we can make this giant move to disinfectify the rest of the world's Internet to get away from American imposed tech policies. And we have this incredible willingness to do it. And Donald Trump has poured gasoline on the flames, which is usually a bad thing. I'm all for moving fast and breaking things so long as those things belong to billionaires. And it looks like we are posed to break a lot of billionaires things. I'm very excited about about it.

[Sarah Jeong]

Thank you so much, Corey, for coming on the decoder. That was Cory Doctorow, the author of the book why Everything Suddenly Got Worse and what to Do About It.

[Cory Doctorow]

Thank you, Sarah.

[Sarah Jeong]

I'd like to thank Cory Doctorow for taking the time to speak with me and thank you for tuning in. I hope you enjoyed it. If you'd like to let us know what you thought about this show or what else you'd like us to cover. Drop us a line. You can email the team at Decoder at the Verge. They really do read every email. Decoder is on YouTube now. You can watch full episodes at DecoderPod. We also have a TikTok and an Instagram. They're also Decoder pod. Check them out. If you like Decoder, please share with your friends and subscribe wherever you get your podcasts. Decoder is a production of the Verge and is part of the Vox Media Podcast Network. Decoder is produced produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our Editorial director is Kevin McShane. The Decoder Music is by Breakmaster Cylinder. See you next time.