News

Thursday 2026-10-08

06:00 AM

How Copyright Is Being Abused To Censor Albania’s Flamingo Revolution [Techdirt]

For the last couple of years, the copyright world has been grappling with the latest generation of AI, as numerous posts on Walled Culture attest. That’s hardly surprising, since AI is currently delivering the greatest challenge to the foundations of copyright since the arrival of the computer, which was discussed at length in Walled Culture the book (free digital versions available). Although this is the main focus, the copyright industry continues to pursue some of its other traditional obsessions. For example, calls for ever-more stringent Net blocks are still being made. France is leading the way once again, reported here by TorrentFreak:

French lawmakers have officially adopted a new sports law that replaces manual domain checks with support for automated, real-time piracy blocking. The system allows for instant blockades during live sports broadcasts, with oversight checks from regulator ARCOM being applied afterward rather than before.

A new study commissioned by the European Parliament calls for something similar:

The study recommends a swift takedown obligation for streaming intermediaries, requiring these to take action within a certain time limit. As an example, it mentions 30 minutes, following the example of Italy’s Piracy Shield.

This takedown requirement should not only apply to Internet providers. Other intermediaries including third-party DNS resolvers such as Google and OpenDNS, VPN providers, and CDNs such as Cloudflare, should also take action.

The suggestion therefore is to adopt all the bad ideas that EU countries such as Italy, France and Spain have been trying out recently, with no sign that any of them actually help.

The copyright companies also continue to chip away at the surprisingly resilient Anna’s Archive. In January, the site lost its main .org domain; in April, Spotify secured secured a $322 million default judgment against the still unknown operators of Anna’s Archive. More recently, the site was hit with what it calls a “coordinated attack” that took it offline for a while, although it is not clear whether anyone in the copyright world was involved.

Against the background of those recurrent copyright topics, it is interesting to see a less familiar issue crop up recently. It concerns large-scale protests taking place in Albania. They were triggered by revelations that Jared Kushner, Donald Trump’s son-in-law, planned luxury tourism developments in two important Albanian natural habitats. One of them, the Vjosa–Narta wetland ecosystem, is the home of flamingos. This has led to the mass protests being given the name the Flamingo Revolution.

The protests against the proposed developments have been on a very large scale – some estimate 250,000 participants at times – and have rocked the Albanian government, which was caught completely off-guard by the widespread objections to the plans, and which has struggled to counter them and the widespread support they have received online. That makes the sudden mass suspension of Instagram accounts posting about anti-government protests in Albania because of alleged copyright infringement suspicious, to say the least. Martha Dimitratou, founder of Repro Uncensored, a nonprofit organization that tracks digital censorship, spoke to Wired about what has been happening in Albania:

Dimitratou told WIRED they had verified around 100 cases of account restrictions connected to protests. “We continue to receive additional reports and, based on the volume and patterns we are seeing, estimate that the true number could be several hundred,” she says.

“We also identified that multiple posts on an account would receive copyright complaints, often five to 10 in a relatively short period, followed by escalating enforcement and, in some cases, the disabling of the entire account,” Dimitratou says. “Taken together, the alleged paid reporting, the repeated sequence of copyright complaints followed by account enforcement, the concentration of targets around the same movement, and the repeated targeting of replacement accounts strongly indicate coordinated activity,” Dimitratou added.

Arjan Koçi, who had multiple posts taken down, managed to contact the person behind those copyright complaints. Koçi asked why he was making these false claims against him:

To his surprise, Koçi received a response. “He asked for my contact and then texted me.” The person told Koçi that he had been paid $1,800 to report these accounts and would withdraw his complaints if Koçi paid him. “He said he would accept crypto as payment.”

This kind of coordinated copyright abuse is a well-known phenomenon:

“This tactic of mass copyright reporting, commonly called brigading, is an abuse of the systems that Meta has in place for people to report genuinely problematic, abusive, dangerous, or illegal content on their platforms,” said Kian Vesteinsson, deputy director for tech policy and digital rights research at Freedom House. “We’ve even seen this sort of brigading happen at scale in the context of a war or a conflict. Certainly, it’s a tactic that we saw carried out by the Myanmar military, for example, to go after people criticizing the government’s conduct,” he told WIRED.

As that indicates, this is not a new problem. Walled Culture the book discusses similar cases of copyright being abused for the purposes of censorship, notably as part of online “reputation management” services. These often use false claims of copyright infringement to remove material that is damaging or embarrassing to their clients. The application of similar censorship techniques on a large scale against politically inconvenient material in Albania shows how copyright continues to be perverted for purposes far from the purported ones of encouraging and rewarding creativity.

Follow me @glynmoody on Mastodon and on Bluesky. Originally published on Walled Culture.

Judge Blocks Utah’s Demand That Websites See Through VPNs [Techdirt]

Over the last few years, with Congress completely incompetent and a massive moral panic about tech raging, states have stepped up to try to regulate the internet any way they can. Even after the Supreme Court reminded states that the First Amendment still exists online and their varied attempts to regulate speech faced serious constitutional hurdles, it hasn’t cooled state legislators’ and governors’ enthusiasm for pushing through a patchwork of confusing (and sometimes conflicting) laws. And of course, with the Supreme Court’s prudish ruling in Free Speech Coalition v. Paxton, the Court seemed to say states could ignore the First Amendment so long as they shouted “porn!” and “children!” in proximity to each other.

One estimate says that over 300 state bills to regulate social media and kid safety on the internet were introduced in 2025 alone. And, from the beginning, some of us have wondered how states could even try to regulate the internet at all, given that the dormant Commerce Clause (DCC) is (in theory) supposed to limit the states’ ability to regulate commerce that runs across state lines, as the internet obviously does. While the DCC has come up in a few cases, it’s mostly been as an extra throw-in and given significantly less attention than other arguments.

So, it’s good, if somewhat surprising, to see that a federal judge in Utah has blocked a key piece of that state’s latest (in a long line) attempt to age verify parts of the internet. Utah already required adult content sites to age verify Utah users back in 2023. This year’s amendment added a provision saying that anyone “actually located” in Utah counts, VPN or no VPN. Aylo, the internet’s largest adult content company, sued to block that new provision. And, so far it has worked, with the court granting a preliminary injunction against that provision. But what’s most interesting is that the ruling relies on the dormant Commerce Clause, though in a very narrow way.

The new law was crazy in all sorts of ways, effectively demanding that websites see through VPN usage to figure out where a person really is, even if they appear to be somewhere else. Even Utah agreed that this isn’t something anyone can actually do with certainty:

However, all the parties agree that IP-based geolocation is underinclusive because it fails to account for technologies that obscure a user’s location. These technologies, including virtual private networks (“VPNs”) and proxy servers, mask a user’s true location by routing traffic through IP addresses corresponding to different geographic locations. VPNs and location-obfuscation technologies have entirely legitimate purposes—such as securing communications on public networks, preventing websites from harvesting personal data, and circumventing censorship by oppressive governments. But these technologies can also be used to circumvent IP-based geolocation restrictions, such as the one used by Aylo for its free sites. Utah presumably passed the actual-location provision to address this issue.

But both parties also agree that there is no way for a website operator to determine a user’s physical location with perfect certainty. Aylo argues that Utah’s actual location requirement means that Aylo must “impose age verification on every user of their platforms, everywhere in the world” because it is impossible to know for sure whether any given user actually is in Utah.

The court then rejects a bunch of Aylo’s other arguments before zeroing in on the one that lands: because Utah’s law demands perfect geolocation — an impossibility — the only way to comply is to age verify absolutely everyone, everywhere. That clearly impacts commerce far beyond Utah’s borders… and thus triggers the dormant Commerce Clause:

The law requires geolocation perfection, but the parties agree that current technological advancements do not allow an entity to perfectly (1) detect VPN/proxy users, or (2) geolocate where all of those VPN/proxy users are accessing the site from. Aylo could not ensure compliance with the law without age-verifying all users. Unlike a law that merely increases a company’s cost of running its business, the actual-location provision in practice requires an entity to perform age verification services for every user visiting its site from any location because the entity would violate the law if even one of those users happened to be obfuscating their location from Utah. As a result, the law “cannot effectively be limited” to primarily regulating those in Utah obfuscating their location “over the Internet because no such [technology to detect those users in every instance] exist[s].”

Because the actual-location provision, in most cases, directly regulates an entity’s interactions with those who have no connection to Utah, it likely creates too much direct regulation of wholly out-of-state conduct to be lawful under the dormant Commerce Clause.

The court also finds that the law fails the (recently weakened) Pike balancing test, burdening interstate commerce far out of proportion to its local benefits:

As an example, Aylo has approximately 28 million active visitors to its sites each month from the United States. Because the law requires perfection in the absence of perfect geolocation tools, Aylo would need to verify those 28 million users—whether located in Salt Lake City, Boston, New Orleans, Anchorage, or Honolulu—to ensure compliance and avoid liability. Indeed, every entity that hosts material applicable under the actual-location provision would need to age verify all of the entity’s users nationwide or inevitably violate the law. This reach is expansive and would involve massive numbers of wholly out-of-state interactions.

The ruling is fairly narrow, though, and the court more or less tells Utah how to fix it: by adding a reasonableness clause that gives Aylo (and any others under the law) some leeway in how they determine the location of visitors:

Utah argues that the actual-location provision is indirect because technology “allow[s] Aylo to reasonably and feasibly attempt to age assure VPN-using Utahns, [so] any decision by Aylo to instead age-verify all users would be a voluntary business choice, not an effect forced by Utah law.” The court does not doubt that this is the Attorney General’s good faith intention. But, as discussed above, the actual-location provision does not contain a reasonableness or feasibility standard and would therefore impose liability every time an entity did not perform age verification on a user located in Utah. Unlike Online Merchants Guild, the nationwide reach of the actual-location provision would not be due to an entity’s choice on how to structure its business. Rather, it would be “inevitable” that the entity would need to comply by age verifying every outside-of-Utah user on its site to avoid liability.

The court makes the same point again when it notes that there are “less burdensome means” to get what Utah says it wants:

Second, the significant local interests served by the actual-location provision can be achieved through less burdensome means. To be sure, the law involves a substantial safety interest in preventing minors from accessing harmful sexual material, which falls squarely within Utah’s traditional regulatory power. But Utah has represented that a law requiring “feasible and reasonable [geolocation] methods,” instead of perfection, would promote the same interests served by the actual-location provision. Because of this unique posture, Utah’s weighty interests could clearly be “promoted with . . . a lesser impact on interstate activities.” Thus, Aylo has shown that the actual-location provision likely imposes an excessive burden on interstate commerce in relation to its local benefits.

So, while it’s nice to see one of the many state internet regulations blocked on DCC grounds, it seems incredibly likely that Utah will just have its legislature rewrite the law (again), add a “reasonable” or “feasible” standard, and take another crack at it. While that would have the benefit of not requiring companies to do the literal impossible thing of seeing through VPNs to figure out where people really are, it won’t do much to stop yet another silly age verification law from existing.

Daily Deal: flowkey Piano Learning App [Techdirt]

flowkey is a fun, interactive piano learning platform that helps anyone go from absolute beginner to confident player — at their own pace. It combines step-by-step courses with thousands of songs you know and love, tailored for every skill level, from first-time learners to advanced pianists. The app listens as you play and gives instant feedback so you can improve faster, practice technique, and master sheet music with confidence. Whether you’re learning scales or your first full song, flowkey makes piano practice easy, fun, and rewarding. A one year subscription is on sale for $40, two years for $60, or five years for $80 for a limited time.

Note: The Techdirt Deals Store is powered and curated by StackSocial. A portion of all sales from Techdirt Deals helps support Techdirt. The products featured do not reflect endorsements by our editorial team.

05:00 AM

Maternity and Childcare Leave: Protected Doesn’t Always Mean Paid [General Union]

Japan provides strong protections for workers taking maternity and childcare leave. Childcare leave, for example, is generally available until a child turns one, with extensions possible in some circumstances.

But being entitled to take leave doesn’t necessarily mean your employer has to pay your salary while you’re away.

For many workers, the money they receive during maternity or childcare leave comes through Japan’s insurance systems instead. Maternity Allowance is connected to employee health insurance, while Childcare Leave Benefits are paid through Employment Insurance if you meet the requirements.

That’s why checking your insurance enrollment is important. You may have the right to take leave, but find that you don’t qualify for the income support you expected because you weren’t properly enrolled.

And don’t simply assume everything is correct because your employer handles the paperwork. Check your payslips, find out which insurance systems you’re enrolled in, and ask questions if something doesn’t look right. If you should have been enrolled but weren’t, that can have a significant impact when you need to take maternity or childcare leave.

Freelancers are in a different position. If you’re genuinely working as a freelancer rather than an employee, you generally won’t have the same statutory maternity and childcare leave rights or access to employee-only leave benefits through your freelance work.

For unions, this is also why maternity and childcare rights aren’t only about whether an employer “allows” someone to take leave. Workers need to be able to take the leave they’re entitled to without losing the financial support they should have had in the first place.

So if you’re planning maternity or childcare leave, don’t just check how much time you can take off. Check where your income will come from, whether you’re properly insured, and what benefits you’re entitled to.

Want to learn more about maternity, childcare leave and the benefits available to working parents? RSVP for one of our 2026 Parental Leave workshops

Kanji of the Day: 辞 [Kanji of the Day]

辞

✍13

小4

resign, word, term, expression

ジ

や.める いな.む

辞任   (じにん)   —   resignation (from a position)
辞退   (じたい)   —   declining
辞める   (やめる)   —   to resign
辞職   (じしょく)   —   resignation
辞書   (じしょ)   —   dictionary
お世辞   (おせじ)   —   flattery
辞意   (じい)   —   intention to resign
辞典   (ことばてん)   —   dictionary
辞表   (じひょう)   —   letter of resignation
社交辞令   (しゃこうじれい)   —   something said for politeness' sake

Generated with kanjioftheday by Douglas Perkins.

Kanji of the Day: 艶 [Kanji of the Day]

艶

✍19

中学

glossy, luster, glaze, polish, charm, colorful, captivating

エン

つや なま.めかしい あで.やか つや.めく なま.めく

艶やか   (あでやか)   —   glamorous
妖艶   (ようえん)   —   fascinating
艶々   (つやつや)   —   glossy
艶消し   (つやけし)   —   frosted (glass)
色艶   (いろつや)   —   color and lustre
艶歌   (えんか)   —   enka
艶っぽい   (つやっぽい)   —   romantic
艶美   (えんび)   —   sensuously beautiful
艶めく   (つやめく)   —   to be shiny
艶麗   (えんれい)   —   dazzling (beauty)

Generated with kanjioftheday by Douglas Perkins.

03:00 AM

Federal Court Says Flock ALPR Database Searches Require A Warrant [Techdirt]

On one hand, it’s great to see a ruling like this. On the other hand, it’s not going to set any precedent, not even in its own jurisdiction. But it does push this conversation forward, judicially speaking, which means other cases reliant on ALPR tech have some new reference material to add to challenges of searches.

But that’s the bad news up front. Let’s get to the good stuff. And that stuff is a court recognizing that a license plate reader search doesn’t occur in a vacuum. The government will always argue — as it did here — that there’s no expectation of privacy on public roads. Therefore, any plate read (and any subsequent search of an ALPR database) is no different than a cop physically seeing a license plate on a passing car and then proceeding with whatever information they happen to have on hand.

Except it’s definitely not like that at all, not when plate readers are gathering 20 billion plate/location images a month. And that’s just Flock Safety, whose cameras and constantly swelling database are at the center of this decision [PDF].

What we have here is a pretextual stop that (very) eventually resulted in the discovery of 91 lbs. of meth. This stroke of luck belongs to Tulsa County Deputy Freddie Alaniz, who saw a vehicle drive by with California plates and decided to play the odds. From the federal court ruling:

Alaniz then pulled his vehicle onto the highway to follow the Mazda for no apparent reason other than the fact that it had a California license plate. Alaniz also ran a query on the Flock system for the California license plate number on the Mazda SUV. Both Flock and VehicleManager provide users an option for the reason the query is being run. The reasons Alaniz put in those systems for running the queries were “traffic violation,” and “investigation.” At the time of those queries, all Alaniz knew was that the vehicle had a California license plate.

The eventual traffic stop (for lane change violations and following too closely) quickly became an investigative stop (albeit not officially). The deputy asked the driver several questions about her recent travels, attempting to sniff out any differences between her narrative and the one provided by the Flock ALPR search he had performed while following her down the highway. To do this, Alaniz performed a nationwide search of the database even though he was apparently only troubled by the driver’s semi-carelessness on the road. (Also of note: the deputy was unable to access any Flock data from California because that state appears to have finally succeeded in blocking outside searches.)

Free to go is never free to go, not when an officer has ulterior motives:

Alaniz then completed the stop by returning Kyle’s license to her and giving her a warning. After that was done, Alaniz asked Kyle if she would answer some questions, which Kyle agreed to do.

A few minutes later and it looks like we have an unlawfully extended stop:

Alaniz asked Kyle for consent to search her vehicle, and she denied the request. Immediately after Kyle refused, Alaniz asked for backup and told Kyle that she was detained so he could have his dog sniff her car.

While Alaniz explained the next steps, Kyle disclosed that she had some marijuana in the car. She asked Alaniz if she could give it to him because she knew that Alaniz’s dog would alert to the marijuana. Alaniz stated, “I am not worried at all for a little bit of marijuana, that’s not what I’m looking for,” but he proceeded with detaining Kyle to deploy his dog for a drug sniff. Alaniz also responded to a radio communication by stating “it’s non-pressing, I’ve just got a refusal on k9 deployment.”

Given this development, the court had multiple reasons to toss the evidence. The decision says the stop itself was clean due to traffic violation caught on camera. But the stop was illegally extended. That alone would have been enough, but fortunately the court decided to fully address Kyle’s challenge of the ALPR search. That’s where things get really interesting.

The court says it’s no longer acceptable to maintain the illusion that always-on ALPR systems can be excused with the dated assumption that no expectation of privacy exists when traveling on public roads. And courts certainly don’t need to maintain this pretense on behalf of law enforcement, which has enjoyed an exponential growth in collection/retention abilities with nearly zero added constraints.

The use of the ALPR camera system described by Alaniz in this case credibly invokes concerns raised in both Carpenter and Chatrie. Alaniz had access to an entire month’s worth of location data tied to the license plate on Kyle’s car, including more than fifty sightings across multiple states. This is not the same fine-tuned level of detail that something like a cell phone reveals about the whole of someone’s physical movements. But by virtue of how ALPR technology works, Alaniz and other officers using these systems have access to a continuously updated location history for all vehicles caught on ALPR cameras within the network. This is a type of indiscriminate mass surveillance. It is not targeted on a single individual, as in Carpenter. It is a tool that collects information about all vehicles that pass by any network-connected camera at all times, and it serves up the information to law enforcement on demand.

And because the government likes to play dumb when faced with simple statements like this, the court breaks it down further, making it perfectly clear that what cops think is “reasonable” is nothing any actual reasonable person would agree with, much less consider an acceptable use of law enforcement technology.

Think about it this way. We might reasonably expect our friends and family to tell us something like: “Hey, I saw you out driving by the store last week.” But we do not expect people we know—let alone strangers, and especially not law enforcement—to randomly approach us to say: “Hey, I have been following your car for the last 30 days, and here is a detailed log of every place your vehicle has been with supporting photographic evidence. I am also going to share this information with law enforcement throughout the country so they know your whereabouts, too.” Freedom from persistent, dragnet-style surveillance while in public is not a foreign concept in our society, and it is a reasonable expectation that society already accepts.

Still not enough? There’s more, just in case the government thinks it can bluff its way through this by setting its deliberate obtuseness to “MAX.”

To be sure, ALPR technology does not provide the same precision in location information as cell phones. But it could still reveal a lot about a person’s whereabouts, and it is easy to imagine the kinds of sensitive information it collects. It could track and log a couple struggling to start a family at the fertility clinic. It could show how often someone visits a liquor store or casino. It could show which doctor someone goes to or what lawyer’s office someone visits. It also collects mundane information about people’s commutes, but it collects a tremendous amount of such information all the time. It is possible that a dedicated team of law enforcement officers could constitutionally collect this information about one car—and its driver—by following that vehicle on public roadways over a month. But this leaves the question of why is it the government’s business where everyone goes all the time? The government cannot go snooping through our personal lives and business without an adequate basis to do so. That is what the Supreme Court has said since its decision in Katz through its decision in Chatrie this year, nearly sixty years later. It is not too much to draw the line at indiscriminate mass surveillance.

Amen. Of course, I’m sure the government is already crafting the argument that it is too much to draw the line at indiscriminate mass surveillance in preparation for its inevitable appeal. But until then, we have this, which makes all the points the beneficiaries of mass surveillance resolutely refuse to recognize.

Pluralistic: Disloyalty (07 Oct 2026) [Pluralistic: Daily links from Cory Doctorow]

->->->->->->->->->->->->->->->->->->->->->->->->->->->->-> Top Sources: None -->

Today's links



A 1970s Air Canada ad depicting a man in a brown velour pullover with a large collar sitting in a book-lined study, assembling model Air Canada jets on his desk. His head has been replaced with the blue, metallic head of a 1950s pulp robot and his skintones have been shifted blue to match.

Disloyalty (permalink)

Up until very recently indeed, airlines were the only businesses that I dealt with regularly that practiced "price discrimination," charging different customers different prices for the same seats.

Economists broadly like this "second-order" price discrimination, where a company charges customers different prices based on the circumstances of the purchase, such as a bakery discounting bread at the end of the day. When an airline cranks up the price of an itinerary that doesn't include a Saturday stay, they're using that fact as a proxy for "price-insensitive" business travelers whose bosses can afford to pay more for a ticket, rather than paying a worker overtime to spend a weekend away from home after a meeting.

Despite the arguments about "efficiency," it's safe to say that *fliers* hate this. The airlines' pricing algorithms are so opaque and capricious that anyone who buys a ticket at *any* price inevitably feels like they got a bad deal. This situation is only exacerbated by the airlines' extreme and aggressive secrecy over their pricing strategies, which includes lawsuits against websites that use historical pricing data to predict when a plane ticket will be the cheapest to buy:

https://www.eff.org/document/preliminary-injunction-american-airlines-v-farechase-inc

When a company wants the government to intervene to prohibit third parties from publishing factual information about its prices, that's a bad look. Hard to believe that they're so sure that you, the customer, will be delighted by these pricing tactics that they can't bear to have these third parties ruin the surprise.

But this second-order discrimination is *so* 20th century. Here in the 21st century, we have *first-order* price discrimination, in which AI-powered pricing algorithms use commercial surveillance data about *you*, personally, to predict the highest price you're willing to pay. In this world of "surveillance pricing," every traveler (or customer) sees a different price, in a kind of cod-Marxist dystopia whose motto is "from each according to their ability (to pay), to each according to their (desperate) needs":

https://pluralistic.net/2025/01/11/socialism-for-the-wealthy/#rugged-individualism-for-the-poor

Airlines *love* this kind of pricing, and they have means, motive and opportunity to practice it. All over the world, airlines have acquired or entered into joint ventures with surveillance pricing companies. These deals put the airlines on the horns of a dilemma: they love to boast to their shareholders about the way that surveillance pricing will let them gouge fliers, but inevitably the public finds out about these investor calls and breaks out the pitchforks and torches.

This triggers embarrassing climbdowns, like Delta's fiasco of summer 2025, when CEO Ed Bastian bragged to shareholders that his deal with the Israeli surveillance pricing company Fetcherr would boost profits by 50% (!) by figuring out which customers could be safely gouged. When fliers, civil society groups and members of Congress got wind of this and raised a ruckus, Fetcherr publicly disavowed Bastian's remarks, insisting that it wasn't even capable of the kind of price-fixing he'd promised. Then Delta launched a smear campaign against its critics, claiming that Bastian never said the thing he *absolutely said* and accusing surveillance pricing activists of peddling "misinformation":

https://groundworkcollaborative.org/news/amid-deltas-ai-pricing-scheme-groundwork-applauds-congressional-action-to-crack-down-on-surveillance-pricing-schemes/

Meanwhile, airlines all over the world have quietly switched their frequent flier reward programs from "mileage-based" rewards to "revenue-based" rewards. That means that you get points and status based on how much you spend on your ticket, not how far you fly. What may not be obvious from this move is that it forces frequent fliers to buy their tickets directly from the airlines, who claim that they can't tell how much you've spent on your ticket otherwise.

So tickets bought on sites like Expedia or through travel agents often qualify for insultingly small points awards, or no points at all. For example, British Airways once gave me *12 points* on a $2,000 Alaska Air ticket because I didn't buy it through British Airways' site (attaining BA's gold status requires *50,000* points).

Forcing frequent fliers to buy their tickets directly from the airline's website sets things up beautifully for surveillance-driven, first-order price discrimination. Airlines you do business with regularly can augment the personal information you provide to them and the data they collect from you with sensitive information purchased from the unregulated data-broker industry, which will cheerfully disclose your salary, credit card debts, or even if you've recently lost a parent and might be flying out for a funeral.

The airlines strenuously deny that they're doing this, of course, but they continue to make investor-facing announcements about their exciting deals with surveillance pricing companies…and things are getting *weird* for frequent travelers.

Thanks to a lot of book-related travel over the past couple of years, I have "Elite" status with Air Canada. Yesterday, I needed to book a last-minute, one-way fare on a route that is only serviced by Air Canada (AC enjoys a monopoly over many Canadian routes, even between major Canadian cities). I checked it out on Google Flights and found a fare for the eye-watering sum of USD829.73.

Now, my normal daily-use browser is Firefox, but I know from long experience that I can't log in to my Air Canada frequent flier account on any browser except Chromium, which I keep installed on my system for just this kind of hostile garbage website. So I tabbed over to Chromium and pasted the Google Flights outbound link that would take me to a pre-populated reservation form on aircanada.com. To my amazement, that same flight was showing as a USD1200 fare!

These were identical trips, loaded via identical referrer URLs. The difference was that in the browser where Air Canada knew that I was an extremely loyal and prolific customer, they had whacked me with a *44.8% premium* to punish me for my loyalty!

I couldn't believe it. I actually called Air Canada's customer service line for "Elite" fliers, and the customer service rep was at a loss for an explanation and could only apologise and suggest that I write a letter to the company.

I'm publishing this instead, because a) this will do more to punish Air Canada for trying to screw me over; and b) this can help you book your tickets in the future.

Yesterday, I finished buying the ticket in my logged-out Firefox window (Air Canada's website will work with Firefox to buy tickets provided you don't try to log in to your Aeroplan account first), paying $829. Then I flipped back to Chromium, where I was still logged into my Air Canada Aeroplan account, located the reservation, and added my frequent flier number to it.

I guess this is how I'm buying my plane tickets from now on.


Hey look at this (permalink)

* PM Mark Carney pledged to ‘Buy Canadian.’ Since then, $7.8 billion in contracts went to American corporations https://archive.is/zDBfX#selection-3576.0-3576.3

* Tracing the rogue ideology of the frontier labs to their product choices https://buttondown.com/apperceptive/archive/tracing-the-rogue-ideology-of-the-frontier-labs/

* Have you heard of the term "enshittification?" https://www.youtube.com/watch?v=nJ5V3pk6PEA&t=1220s

* Window display at TYPE Books Toronto to honour David Byrne’s new book https://stopmakingsense.info/window-display-at-type-books-toronto-to-honour-david-byrnes-new-book/

* Red Vienna Is Still Alive https://www.thenation.com/article/society/vienna-public-housing-urban-cities/



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

Object permanence (permalink)

#20yrsago Indie booksellers in the age of the Internet https://web.archive.org/web/20061026112859/https://www.wired.com/news/wireservice/1,71924-0.html

#10yrsago Wells Fargo whistleblower describes bank’s culture of blackballing threats and coerced corruption https://www.npr.org/sections/money/2016/10/07/497084491/episode-728-the-wells-fargo-hustle

#10yrsago Coca-Cola is paying dietitians to tweet scare-stories about soda taxes https://medium.com/cokeleak/is-coke-paying-dietitians-to-tweet-against-soda-tax-12d130d73b9a#.dw8udqccy

#10yrsago What it’s like to register to vote in states with voter suppression law https://www.bbc.com/news/election-us-2016-37569855

#5yrsago Facebook shouldn't be in charge of how you use Facebook https://pluralistic.net/2021/10/08/unfollow-everything/#shut-the-zuck-up


Upcoming appearances (permalink)

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

* Hudson, OH: Hudson Library, Oct 7
https://engagedpatrons.org/EventsExtended.cfm?SiteID=3850&EventID=596952&PK=

* Calgary: Wordfest, Oct 8
https://wordfest.com/2026/show/wordfest-presents-cory-doctorow-2026/

* Winnipeg: McNally Robinson, Oct 9
https://www.mcnallyrobinson.com/event-18991/An-Evening-with-Cory-Doctorow

* Paris: Slow Tech Summit, Oct 15
https://slowtechsummit.com/

* Vancouver: Read, Resist, Repair, Rejoice (Vancouver Writers Festival), Oct 19
https://writersfest.bc.ca/festival-event-2026/01

* Victoria: Munro's Books, Oct 20
https://www.munrobooks.com/events/6113620261020

* Vancouver: Life After AI (Vancouver Writers Festival), Oct 22
https://writersfest.bc.ca/festival-event-2026/46

* Ottawa: Life After AI (Ottawa Writers Festival), Oct 24
https://writersfestival.org/event/life-after-ai

* Kilkenny (Kilkenomics), Nov 6-8
https://kilkenomics.com/

* Vancouver: Enshittification (Sid Williams Theatre Society), Nov 10
https://www.sidwilliamstheatre.com/events/cory-doctorow-talks-enshittification/

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

* Sheffield: Reverse Centaur at Juno Books, Nov 25
https://www.outsavvy.com/event/40274/cory-doctorow-in-conversation

* Oxford: Bennett Oxford Symposium on Open Code in Science, Dec 9
https://www.bennett.ox.ac.uk/events/2026-bennett-institute-symposium/

* Montreal: World Science Fiction Convention, Sep 2-6
https://montreal2027.ca/en



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

Recent appearances (permalink)

* Terms of Service with Clare Duffy (CNN)
https://www.cnn.com/audio/podcasts/terms-of-service-with-clare-duffy/episodes/458ce968-af5d-11f0-b539-13ed2afe25f8

* AI, Work, and Power (Software Engineering Daily)
AI, Work, and Power https://softwareengineeringdaily.com/podcasts/cory-doctorow-on-ai-work-and-power/

* AI, Corporate Power, and the Fight for Worker Control (Plutopia)
https://plutopia.io/cory-doctorow-ai-corporate-power-and-the-fight-for-worker-control/

* How to Think About AI—Before It’s Too Late (Daniel Solove)
https://www.youtube.com/watch?v=_0xR3uEgGcc

* Could Tech Bosses Destroy Life As We Know It? (Politics JOE)
https://www.youtube.com/watch?v=PL4VktU0SgY



A grid of my books with Will Stahle covers..

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



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

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

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

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

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



Colophon (permalink)

Today's top sources:

Currently writing:

* “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 529 (22924 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.

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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

Pirate App MovieBox Passes 300 Million Downloads as Rightsholders Alert EU [TorrentFreak]

Last year, Nigeria’s copyright watchdog celebrated the suspension of MovieBox.ng, a pirate streaming site that drew tens of millions of visits per month.

The site swiftly moved to a new domain, as we reported at the time, and its Android app remained widely available.

However, the app is now drawing attention in Brussels. In submissions for the European Commission’s 2027 Counterfeit and Piracy Watch List, both the Motion Picture Association (MPA) and French TV company Canal+ report MovieBox as a large piracy operation.

From 243 to 305 Million

Both rightsholders highlight the same app distribution channel. In its overview of piracy apps, the MPA notes that MovieBox was downloaded more than 243 million times from Palm Store alone.

Palm Store is the app store that comes preinstalled on Tecno, Infinix and itel phones. These brands all belong to Chinese phone maker Transsion, which sold 61.5% of all mobile phones in Africa in 2024, according to its own filings.

Canal+ adds more detail. It notes that MovieBox switched to moviebox.ph after enforcement action against its .ng domain in 2025.

According to Canal+, the app continued to grow after this switch. The site remains online today and the same is true for the app, which more than doubled its number of downloads in less than a year.

“As of 16 June 2026, PalmStore reported approximately 243.3 million MovieBox application downloads, representing growth of approximately 108% since August 2025, with MovieBox continuing to rank as the number one application in the Entertainment category on the PalmStore platform,” Canal+ writes.

From Canal+’s submission

From Canal+'s submission

The reported June count is already outdated. At the time of writing, Palm Store lists 305.6 million downloads for the app, an increase of more than 60 million in less than four months.

305.6M downloads

305.6M downloads

MovieBox’s store listing explicitly promotes movies, TV series and live sports. “Enjoy free access to sports live streams right in our app,” the description reads, with a specific mention of Europe’s five biggest leagues. Its promotional artwork features copyrighted shows and categories such as Marvel and Disney.

Transsion’s Own App Store

Palm Store is not an independent app marketplace. In a draft prospectus for its planned Hong Kong listing, Transsion describes it as its own app distribution platform, which had more than 180 million monthly active users on average last year.

This prospectus also explains how the app store makes money. Transsion states that it typically charges third-party developers based on the number of installs that go through its distribution platform. Whether this also applies to MovieBox is unknown.

‘Closely Linked’

Hosting an app in a store doesn’t mean that the store’s owner has anything to do with it. However, Canal+ suggests that the ties run deeper.

“MovieBox has been closely linked to the Transsion / Transsnet ecosystem. Historical domain registration records identified Transsion-linked registration details for moviebox.ng, while technical analysis of the Android application revealed certificates signed under the Transsion name and references to Transsion-owned infrastructure and services,” Canal+ writes.

Canal+ on Transsion

Canal+ on Transsion

The submission doesn’t explain what these registration details and certificates revealed. It also doesn’t state that Transsion owns or operates MovieBox.

Canal+ further mentions Excellent Innovation Limited, a Hong Kong company it connects to MovieBox through domain registrations, SSL certificates, developer attributions and trademark filings. Palm Store indeed lists this company as the app’s developer.

The MPA’s submission doesn’t mention Transsion at all. The Hollywood group merely notes that MovieBox is believed to be operated out of China.

From the MPA’s submission

From the MPA's submission

Canal+ also has a more direct commercial interest in the matter. The French group owns MultiChoice, the pay-TV company behind DStv, which operates in the same African markets.

Neither of the submissions mentions whether anyone has asked Palm Store or Transsion to remove the app.

Before the Commission decides, the services that are reported will be offered a chance to respond.

“The Commission will also make reasonable efforts to contact the service providers reported in the submissions and invite them to respond in writing to the allegations made against them,” the consultation document reads.

The new list is expected to be released in the spring of next year. The Commission notes that a mention wouldn’t be a finding of wrongdoing or a confirmation of legal violations. It is simply meant to encourage operators and governments to take action against infringement.

—

A copy of Canal+’s submission is available here (pdf) and the MPA’s submission can be found here (pdf).

We reached out to MovieBox and Transsion for a comment on the submissions, but we did not receive a response at the time of writing.

From: TF, for the latest news on copyright battles, piracy and more.

12:00 AM

Paramount, Warner Bros Formally Merge, Form Giant Mountain Of Disastrous Debt [Techdirt]

Larry Ellison has succeeded in fusing Paramount and Warner Brothers in a $110 billion merger that will culminate in mass layoffs, higher prices, lower-quality product, and news outlets like CNN becoming even more friendly to corporate power and the U.S. right wing.

This enshittification will arrive despite endless promises by the Ellisons that none of these things are happening or will happen.

They’ve renamed the entire giant company Skydance. The bigger Skydance will be born with a giant weight tied around its neck in the form of $82 billion in debt. The Ellisons, who are incredibly over-extended on AI, have to manage that debt load while trying to adapt to a quickly shifting entertainment industry that isn’t being kind to traditional broadcast TV or the brick-and-mortar film industry:

“Those challenges will pose a major test for Mr. Ellison, 43, who until last year had never run a public media company. He and his team must convince Wall Street that the new company can manage those challenges while it pays down $82 billion in debt, a staggering sum for a traditional media company. He must also rally tens of thousands of employees at Warner Bros. and Paramount; both companies have undergone nearly annual layoffs in recent years.”

It’s simply not going to end well. We know this because gigantic “growth for growth’s sake” mergers never end well. Particularly when Warner Brothers is involved. Every single major deal involving this company, from 2000’s superunion with AOL to AT&T’s 2016 acquisition of Warner Bros to Discovery’s 2022 acquisition of Warner Bros, resulted in mass layoffs and shittier overall product.

Generally when I talk about media consolidation, people’s eyes glaze over. Paramount’s acquisition of Warner Brothers was somehow different. I’m not sure if it’s because Trump BFF Larry Ellison was involved, the company engaged in such sleazy tactics to get the deal approved, the Saudi investment and influence angle, or the fact we just lived through a disastrous master class in incompetence by AT&T.

But somehow people generally seemed to understand this deal was particularly bad. This time around, people seemed to understand that these sorts of deals always result in a giant mountain of debt that’s always borne by consumers in the form of higher prices, labor in the form of mass layoffs, or the public and markets in the form of corner cutting and lower-quality overall product.

And yet it still didn’t matter.

Despite a last-ditch attempt by a weak-coalition of 12 state AGs to actually enforce antitrust law for once, the Democratic deal opposition lacked the backbone to stand up to Larry Ellison’s relentless lobbying.

Establishment Republicans love the deal because it cements more of the media into the hands of the right wing. Democrats, once again demonstrating they’re a decorative opposition party, couldn’t muster enough consistent opposition to fight back against the deal; buckling at the last minute to Ellison’s threat that he’d move Paramount out of California if they dare try to protect markets, labor, and consumers.

I’ve covered more major telecom and media mergers than I can even remember, and here’s what happens next:

  • Larry Ellison and his Nepobaby son David spend the next 6-12 months pretending that the deal is already delivering all manner of exciting new synergies and innovations as they pretend they have what it takes to “become a tech company.”
  • But it won’t take long for thousands of layoffs to drop, as redundancies are eliminated (AT&T’s acquisition of Warner Bros and DirecTV resulted in, you may recall, 50,000 layoffs).
  • From there, as we saw with AT&T, you’ll start to see all manner of promising projects cancelled by the kind of folks who only care about lowest-common denominator cack (Stephen Colbert’s Lord Of The Rings movie appears to be an early casualty already).
  • You’ll also quickly see even higher prices and new and annoying restrictions imposed on the companies’ streaming video platforms.
  • CNN will steadily become shittier and even more friendly to corporate power and right wing ideology, while pretending to be doing “fair and balanced” journalism.
  • Ellison will likely move more film and TV production overseas anyway, because that’s been the general trend regardless of his “take my ball and go home” threat.
  • In two to three years, after the extraction class has extracted any remaining value, the disastrous mess will be offloaded to some other media giant (Netflix, Disney, Amazon) for a song, resulting in even more layoffs.

We know this, again, because this is what always happens. And while this happens, all the folks that pushed so hard for the merger — including weak-kneed Democrats like Gavin Newsom, Karen Bass, and gubernatorial nominee Xavier Becerra (who all heavily pressured state AGs to back away from enforcing antitrust law) will be nowhere to be found. They’ll simply memory hole the entire experience.

Wednesday 2026-10-07

11:00 PM

How do you like them apples? [Seth Godin's Blog on marketing, tribes and respect]

In October, the apples in New England are some of the best in the world.

Alas, the apples in this bowl are nine months old and from 3000 miles away. I found them sitting in a forlorn corner of a hotel gym in Cape Cod.

Why source lousy apples? Because they’re not being hired to be good apples. Instead, they’re chosen to be convenient, reliable and a bit of decoration. Reliably there day after day, but not to create delight, build a reputation or support the local economy.

When we name it, we can figure out if it’s what we actually want. Most of the status quo persists, unnamed, because it’s easier than untangling what we’re actually trying to accomplish.

The Knot helps us see the baggage we’re unconsciously carrying around. If you’re feeling stuck, that’s the first step on the road to making something better.

      

01:00 PM

In-N-Out Stares Down A Gift Horse & Then Shoots It Dead Over Trademark [Techdirt]

There’s looking a gift horse in the mouth, and then there’s deciding to shoot that gift horse in the face repeatedly for no good reason. Famed West Coast burger chain In-N-Out has an equally robust reputation as a trademark bully and bad actor. Whether it’s the trademark tourism the company engages in, in which it runs popup stores in overseas markets once every couple of years just to keep their trademarks valid in those markets, or the strict enforcement of its marks in ways that defy the law’s requirements, it seems In-N-Out loves its trademarks more than its own reputation and good business.

But the complete lack of business sense on display in this most recent story is simply breathtaking. Lincoln High School out of Lincoln, CA has what appears to be a nice little culture within its football program at the school. Part of that culture is to have post-game get togethers at the local In-N-Out and they managed to work out a plan with that local store to take some pictures of the players there for a larger video showing off how the team spends their time together. And, for reasons that I can’t possibly explain, In-N-Out sent the school a demand to take the pictures and video down.

In-N-Out asked the Fighting Zebras to remove photos and videos from the viral photo shoot at its Lincoln restaurant at 850 Groveland Lane at Ferrari Ranch Road, saying the team’s use of the restaurant crossed a line involving its trademarks.

Photographer Glenn Silva’s photos and video quickly took off online. One video received more than 600,000 views and about 26,100 likes. The company said corporate approval was required for filming and photography at its restaurants and requested that the team and Silva remove the content within three business days.

This is stupid for all kinds of reasons. First, the school did work with the local store and it appears it’s that local store that didn’t follow whatever corporate guidelines the company has for this sort of thing. That’s not on the school. Second, the school actually engaged an IP attorney to try to make the case that none of this is actual trademark infringement, but photos of high school kids having a good time at one of their restaurants, but the lawyers at In-N-Out still refused to budge on their stance.

And, finally, we have the gift horse part of this equation. These were photos and a video of a bunch of kids and other people having a good time at In-N-Out! It’s the kind of organic marketing and goodwill-generating fun that most companies absolutely dream of capturing for their businesses. But here, the company decides that all of that organic marketing and good PR is fit for the dumpster, all in the name of trademark law?

“We appreciate the positive relationship your organization has with INO, and we hope the Fighting Zebras continue to enjoy many more post-game visits,” the email said. “Thank you again, and best of luck with the rest of the season!”

Yeah, and hopefully it’s a season where the local team can find a different post-game hangout spot, one that actually appreciates the team’s presence, fandom, and its willingness to spread the good word about the fun it’s having after games. Because In-N-Out’s deference to corporate lawyers is the opposite of that.

This is what the company wants to be associated with? Really!?!?

11:00 AM

Building a second-wave AI business [Seth Godin's Blog on marketing, tribes and respect]

A very long rant, riffing on the opportunity for bootstrapped startups who seek to create value using AI. I wrote it a while ago, thought it was too long, but in arguing with an AI today (everyone needs a hobby) I realized it was worth sharing:

Most AI success stories to date are about cost reduction or speed improvement. A startup offers businesses a way to get more done with fewer people, replacing customer service or programming teams with bots. The upside of cost reduction is that it’s a very easy sale—give the client a free sample, once it’s demonstrated to work, they have an instant benefit in switching.

The downsides: it’s difficult to win a race to the bottom, since someone can always promise more savings than you. And it’s finite—once the savings are made, there’s no incremental value left to create.

The opportunity lies in something generative. A use of AI that doesn’t reduce costs, it creates value. It opens new opportunities, leads to growth, connection, and utility.

Worth paying for: Most bootstrappers target price-sensitive customers and then wonder why growth is hard. But people and organizations with expensive problems and real resources don’t just put up with paying more for things they value—they prefer it. Premium pricing signals seriousness. Look for a market where the problem is real, the budget exists, and the solution creates something they couldn’t get otherwise.

What people actually pay for: At the foundation of almost every premium purchase are three drives:

status (I matter, people like me see me as significant),

affiliation (I belong, there are people like me and they accept me), and

freedom from fear (I am safe, the threat is not coming).

Freedom from fear may be the most primitive—you can’t pursue status or affiliation while in survival mode. And most premium purchases are a quest for freedom from fear pretending to be something else.

Built on those roots is a middle layer of things that offer one or more: legitimacy, transformation, belonging to a narrative, control, certainty, protection, trust, health and longevity, leverage.

And the outer layer that’s easier to measure—things people buy because they deliver the middle layer: access, capital, time, attention, convenience, efficiency, delight, new experiences, beauty.

Commodities—food, shelter, sex, addictive substances—are often outside this hierarchy. They don’t really build toward the three roots; they allow survival or temporarily suppress the anxiety that comes from not having them.

An AI business worth building delivers something from the middle layer, justified by the outer layer. Nobody goes shopping for transformation.

What businesses actually pay for: The hierarchy for individual consumers doesn’t translate directly to organizational purchases. In B2B, the customer is spending someone else’s money. That means that the dominant question they’re asking is, “what will I tell my boss?” Three desires sit at the foundation of almost every business buying decision:

Avoid blame — if this goes wrong, it won’t be my fault. The IBM principle: nobody ever got fired for buying the market leader. The champion inside the organization often needs a defensible story before they’ll act.

Claim credit — I brought something in that worked and people noticed. The flip side of blame avoidance, and the engine of the internal champion. If your solution lets someone look good, they’ll sell it to their peers, you won’t have to.

Reduce uncertainty — we can plan around this, the chaos goes down. Organizations pay significant premiums for the ability to forecast, commit, and stop worrying.

Built on those roots is a middle layer of things organizations reliably spend on: growth, efficiency, compliance, competitive advantage, talent, morale, resilience, optionality, speed, legitimacy, relationships.

And an outer layer that justifies the middle: cost savings, time savings, data, access, convenience, integration, reporting, support.

Mechanics without a story is the race to the bottom, and being the cheapest is not the best use of your time.

New vs. repeat purchases require different approaches: Repeat purchases are won by switching costs, relationships, and relentless incrementalism—you’re replacing someone, which means you need to be cheaper, easier, or have a better story and sales force. New purchases require someone inside the organization to become a champion, which means they need a story that serves their career, not just their company’s interests.

Not all problems are equally interesting: Some purchases—like gaining market share or entering a new category—are chaotic and interesting, with room for narrative and ambition. Others—like cheaper materials or faster processing—are grinding commodities where the only story is price. Commodity buyers fear paying too much. Buyers in chaotic spaces fear making a wrong choice.

The forcing function: Businesses rarely lead the way on new purchases without a crisis compelling them. Without a forcing function, even a perfect solution sits in the pipeline forever—committees form, pilots stall, and champions get reassigned.

Three kinds of crises create forcing functions:

Competitive crisis — a rival did something and now there’s urgency. “They have it and we don’t” is a sentence that ends a discussion and starts the buying process.

Technology crisis — the old way stopped working, or a new capability made the old way look reckless. AI itself is currently creating this for many industries simultaneously. This time, the forcing function and the solution are the same thing.

Public/market upheaval — regulatory change, cultural shift, a collapse in input costs, a pandemic. These are the most powerful and least predictable. They create entirely new categories of buyer.

The opportunity for a bootstrapper: sell into a forcing function that already exists, don’t try to create one. Organizations already feeling the crisis don’t need convincing—they need a solution that lets their champion say “I found it.”

NOTES:

Naked AI is a trap. If all you’re doing is building a gateway to Anthropic or ChatGPT, your token costs eat a significant portion of your revenue—and you have no defensible position.

Hidden prompts are insufficient. Breakthrough prompting can create real value, but there’s no protectable, reliable way to sell it as a business. If one of the frontier companies made it a business model, the mechanics would work in the bootstrapper’s favor, but I haven’t seen this.

The network effect matters. Selling benefits one person at a time is brutally expensive. The breakthroughs come with projects that have the network built in—where interactions work better when your colleagues are using them too.

Asymmetric information is worth seeking out. Some of the most durable advantages come not from network effects but from knowing something others don’t, or from helping a cohort work together to pool what they know against a party that currently has structural information advantage over them. Let all of Walmart’s vendors see information that they currently hoard, for example.

So, a theory of profit—a framework for the kind of project that becomes a business:

  1. Creates its own useful data stack. The data doesn’t need to be large to be valuable—it needs to be specific and trusted. Over time it informs the AI. It belongs to users and the project, not to Anthropic or competitors. And it’s built to work for users, not to trap them.
  2. Has a built-in network effect. Either an engaged peer-to-peer community (where users see each other, not just the platform) or an obvious benefit to spreading the word.
  3. Solves an expensive problem for people with resources. The value delivered goes beyond saving time or money—it might be education, reduced fear, joy, reassurance, connection, or capability expansion. And it’s priced accordingly.
  4. Is bootstrappable. Specific and conceptual rather than infrastructural. No data centers, no thousand-person teams required to get started.

Bonus:

A note on data stack reality. A network built on user data is only as good as the willingness of users to populate it. And willingness requires two things: it has to be frictionless enough that people don’t have to think about it, and it has to feel safe enough that people don’t have to worry about it. These two conditions are almost always in tension. The more automatic the data collection, the more it feels like surveillance. The more control you give people, the more friction you add.

The most promising data stacks are ones where people are already generating the data, are already comfortable with it existing somewhere, and the innovation is simply giving them better access to what’s already theirs. The forcing function for consumer data sharing may be the simplest one of all: I already feel watched. I might as well get something back.

The cautionary version of this is the email surveillance tool—a business reads all internal email and gets a report on who’s helpful, who’s toxic, who’s looking for a job. The value is real and obvious. The fear is also real and obvious. And in most organizations, the fear wins. Any data stack business has to answer the question: who controls this, and what happens if it goes wrong? If the answer isn’t immediately reassuring, the business doesn’t get built.

The sponsored model. Not every valuable AI business needs the end user to pay. When the problem is real but the affected population lacks resources, a foundation, brand, or institution with aligned interests can fund the miracle instead. The economics flip entirely: instead of acquiring thousands of customers one at a time, you close one relationship with one institution that already has the distribution, the mission, and the budget. The user gets the miracle for free. The sponsor gets impact, data, or loyalty.

This model works when three things are true: the population being served is large and underserved, the value created is legible to an institution that cares about it, and the data generated serves both the individual user and the sponsor’s mission.

For example, a foundation pays $2,000,000 and 40,000 families of the incarcerated have access to a tool that generates a ten-page legal document instead of a bushel of random papers—and the shared data starts identifying patterns in the system (bad actors, defective paperwork) that no single case could surface alone.

A bank funds a personal finance tool for its own customers. A health brand funds a fitness coach for an underserved population. The viral problem is much easier to solve: once it’s free, you don’t need to work hard to persuade users to recruit each other, you need one institution with existing distribution to say yes.

The cheap inference model. Not every AI application needs a frontier model. The problems worth looking for here aren’t the ones that require reasoning or nuance—instead, look for structure, pattern recognition, aggregation, and organization at scale. Form filling. Document organization. Transcription plus summarization. Matching similar records across large datasets. These problems are unglamorous but enormous in volume and largely underserved.

Moore’s Law is on your side. The models that feel too limited today will evolve to become adequate in eighteen months. Building on cheap open-source inference means your margins improve as the technology does, without changing your product (which is the data stack and the network). And “huge” doesn’t mean huge—a single business school graduating class is enough to populate a meaningful census of what jobs actually lead where. The data stack doesn’t need to be large. It needs to be specific, trusted, and ahead of what anyone else has assembled.

This was a particularly long rant, thanks for hanging in. I started writing it for a friend six months ago (with many inputs from others), but it’s more true now than then.

      

Corruption in Plain Sight, Now Get Ready for the Fight [The Status Kuo]

I’m writing today for The Big Picture about the Trump family’s ever-expanding corrupt business empire—and what a Democratic Congress could do to start dismantling it.

Over the weekend, the New York Times reported that Vladimir Putin pitched Steve Witkoff and Jared Kushner a multibillion-dollar deal for Lukoil’s sanctioned oil assets. It’s the latest in a series of shady deals that include a $620 million Pentagon loan to a company Don Jr.’s firm had just bought into and preliminary conditional approval for a federal bank charter for the family’s sham crypto venture.

The sheer volume of corruption can make it feel like nothing will ever stick. But scholars who study family-run regimes have mapped where they are weakest, and Democrats are already drawing up plans for when they take back the House and perhaps even the Senate in November.

Look for my piece this afternoon if you’re a subscriber to The Big Picture. If you’re not, you can sign up for free or become a valued paid supporter of our work here: https://thinkbigpicture.substack.com/subscribe

I’ll be back tomorrow with my regular edition of The Status Kuo.

Jay

08:00 AM

Meta’s Settlement Isn’t Tech’s “Big Tobacco” Moment [Techdirt]

I’ve written a few times now about why Meta’s big “settlement” with the states is a bad deal. It’s Meta seeking to control how the rest of the internet is regulated in a way that, as Eric Goldman’s op-ed we republished explains, is anti-competitive. It’s also bad for kids (while everyone is pretending it protects kids). But lots of people have been trying to compare it to the big tobacco settlement from almost three decades ago, or even to the much more recent opioid settlement.

In the past I’ve talked about how dangerous and misleading it is to compare social media to any sort of “consumable” because when we’re talking about social media, we’re inherently talking about speech, not some sort of chemical compound you ingest that makes physical changes to your body.

But the rush to compare the Meta settlement to those others is strong, in part because people like a familiar story: bad industry gets caught, pays up, problem solved. And even if you want to take the analogy further, it fails. Studies show that the claims of social media addiction are massively exaggerated to the point of being harmful, and the claims about the lingering “harms” from social media seem to be lacking in the evidence as well.

The good folks over at the Connected Learning Alliance, an organization that brings together actual experts in how children and technology interact, invited me to do a Q&A about the Meta settlement, and why the comparisons to the tobacco settlement may not be that apt.

I’m not going to post the whole thing, just a clip, but I encourage you to go read all of it:

Question: What’s the critical issue?

Mike Masnick: Social media is not nicotine, and Meta’s recent settlement is not tech’s “Big Tobacco” moment. Meta has spent a decade looking for a regulatory moat to fend off competitors, and with this settlement, they got one. The technology companies are widely disliked, and for good reason, so this settlement can feel like something to celebrate: Meta is being punished and the product changes generally sound positive. But this settlement is no cause for celebration.

For years, Facebook has struggled to get younger users. Instagram has been successful, but even they have struggled at times, especially against upstarts like TikTok. And so Meta initially responded by buying up rivals — Instagram and WhatsApp were acquisitions — and then they copied features from Snap and TikTok. But at Meta’s size, the company can’t keep growing, so they’ve been looking to use regulatory policy to insulate the company from competition. The thinking is: if policy raises compliance costs high enough, then only big companies like Meta and Google can absorb them. The smaller upstarts can’t, and they won’t become a competitive threat.

It was a fun discussion, and it includes my suggestions for making a better internet for teens and everyone else.

Thanks again to the Connected Learning Alliance for having me. If you’d like more, they recently also interviewed two of my favorite deep thinkers about internet issues: danah boyd on how social media became parasocial media and Cory Doctorow on how youth and educators can fight enshittified tech.

Trump Officially Opens Border To Thousands More White South Africans [Techdirt]

Trump has declared any non-white migrants to be garbage people from shithole countries (that’s in his own words, believe it or not) and has acted accordingly. Mass deportation efforts are a daily event, randomly punctuated by court order violations and the occasional murders of US citizens.

Trump often wonders why people from Nordic nations aren’t swarming our borders. There’s a really good reason for this: their countries are better than ours for several reasons, not the least of which is the current management.

So, while the DHS, ICE, CBP, and a bunch of other federal officers who definitely have better things to do with their time continue to eject anyone who looks kind of foreign (in terms of skin tone only), the administration has made it almost impossible for anyone living in truly dangerous countries to seek asylum here.

That is, unless, the people complaining about dangerous living conditions happen to be white. In which case, never mind all the visa-strippings and temporary protected status eliminations. Last spring, Trump made it clear he preferred a whiter brand of immigrant, announcing his willingness to accept South African whites by the boatload.

Leveraging a long-running lie about how dangerous it is for white people especially in South Africa, the administration followed through with Trump’s off-the-cuff blathering. Earlier this year, numbers released by the State Department confirmed America now has a whites-only policy when it comes to granting asylum. Of the 4,499 refugees admitted to the United States between October 2025 and the March 2026, every single one of them was a white South African.

And the bleating by administration officials (including Secretary of State Marc Rubio) about “white genocide” in South Africa is nothing but a cheap ruse deployed in support of making the United States whiter and more nationalist. We definitely should be offering refugee status to South African citizens and residents. But not for the pretend violence that’s being used to justify this latest announcement from the Trump administration:

The Trump administration plans to limit the number of refugees admitted to the country to 17,500 mostly white South Africans, the administration told Congress Tuesday, as it continues to transform a program that at one point served as a pathway to safety for people fleeing war and strife from countries around the world.

In a notice to Congress obtained by The Associated Press, the administration said the white South Africans faced seizures of their land and other forms of persecution and would be likely to assimilate when they come to America. 

I can’t tell whether the administration means some non-white South Africans will be granted asylum, or that the ones they’re extending asylum to are “mostly white” enough to be extended a privilege this government definitely isn’t willing to extend to Black South Africans, who are definitely seeing way more violence than the whites Trump is trying to “save.”

In 2024, South African police recorded 26,232 murders nationwide, of which 44 were linked to farming communities and eight victims were farmers, Reuters reported in May 2025. The report also cited Afrikaner farmers’ union TLU-SA’s tally of 1,363 white farmers murdered since 1990: an average of 40 a year, “far less than 1% of total murders.”

The narrative presented by the Afrikaner farmers’ union tries to lay the groundwork for decades of white-targeting violence. But the pervasive violence in the nation targets anyone. If anything, white farmers are a rounding error in a nation that averages 72 murders a day. And for that matter, violence targeting farmers isn’t limited to white farmers.

Of six farm-murder victims recorded from January through March 2025, five were Black, including both farm owners, two employees and a manager. 

Given these numbers, the US should be opening its doors to any refugee from South Africa. A nation that has averaged 19-26,000 murders a year is a danger to everyone who resides there. But this administration has done what it always has done: decided only certain people should be allowed to escape the horrors of their homelands. Worse than that, it has been officially narrowed down to one particular race from one particular nation, proving MAGA is actually fine with “great replacements,” so long as it can replace everyone it doesn’t like with more white folks.

05:00 AM

Judge Reinstates DOJ Prosecutor Illegally Fired By Trump [Techdirt]

Yet another one of Trump’s many, many, often blatantly illegal playbooks is on display here. It seems Trump really doesn’t know who’s going to be loyal enough to satisfy him and also able to pass the rudimentary screening we generously call the Senate Confirmation Process.

So, what tends to happen is that Trump places someone in a lead DOJ role, bypassing the confirmation process entirely. He is allowed to do this, but only temporarily. If the president fails to get a nominee officially confirmed, the ball is now in the court’s… uh… court. The judges in the affected jurisdiction get to choose their own replacement for the vacant position. If the president wants to replace that person, he’s got to go through the confirmation process.

For the most part, none of that is happening. What is happening is that Trump names someone to the position, the clock runs out, the judges replace the prosecutor with their own selection, and within minutes to hours, Trump fires the court-appointed prosecutor.

It took nearly five hours for Trump to fire Donald Kinsella less than five hours after he was appointed to replace Trump’s unconfirmed appointee (and former personal lawyer) John Sarcone. Roger Rogoff, who was appointed by the court to replace Trump’s past-their-expiration-date personal selection for the Washington (state) US Attorney post, was fired only 54 minutes into his judicial appointment.

Rogoff, however, wasn’t willing to let Trump get away with this. He sued for wrongful termination. And he has emerged victorious, as the Associated Press reports:

A judge on Thursday overturned President Donald Trump’s decision to fire the court-appointed top U.S. prosecutor in Seattle, the latest development in a legal tug-of-war over the administration’s efforts to control who occupies the powerful Justice Department posts.

The question being answered here is who has the power to fire court-appointed prosecutors. Trump seems to think he can, but it’s certainly not because he feels his actions are supported by judicial precedent… because there isn’t any.

Judge Stanley Bastian’s order reinstates Rogoff and forbids Trump or the DOJ from firing him (again) until this case is entirely resolved. The answer Trump doesn’t want to hear is that nothing in the law allows him to fire anyone but his own appointees.

Can the President fire a court-appointed U.S. Attorney? No. The President cannot unilaterally fire a U.S. Attorney appointed by the Court. A court-appointed U.S. Attorney is not an acting U.S. Attorney nor are they an interim U.S. Attorney. Section 546(d) provides that a court-appointed U.S. Attorney serves until “the vacancy is filled,” which can only be done by the nomination/confirmation process.

It also makes it clear that the courts are going to keep doing this if Trump’s continues to bypass this process. Why? Because that’s what the law actually says. It doesn’t provide an exemption for Donald J. Trump and whatever he wants the law to be.

Once that time expires, the District Court may appoint a U.S. Attorney until that vacancy is filled.
It does not say until that person is fired by the President.

Of course, the administration has already appealed. The Ninth Circuit has issued a stay of its own, but it doesn’t undo the lower court’s block of any attempted firings. All it does is prevent anything else from happening until the appellate court hears the case. Roger Rogoff won’t have a final answer on this legal question until later, but for now, it seems pretty clear the law — as usual — isn’t on the side of the self-proclaimed “rule of law” president.

Appeals Court Pauses Minnesota’s Nudify Law, Which Ignored Its Own Supreme Court’s Roadmap. [Techdirt]

I feel I need to start out posts like this by reminding anyone that nudification apps are bad. They’re almost exclusively used to abuse and harass people, most often women. That said, if you’re going to ban them legally, you can’t just say “nudification apps are illegal.” That’s not how the First Amendment works. And, yet, that’s what the state of Minnesota did earlier this year. The dreadfully bad drafting of the law was also bizarre, because a decade earlier the state had passed a much more carefully crafted anti-nonconsensual intimate imagery (NCII) law, which had gone through a constitutional challenge and survived.

That ruling laid out the conditions as to why the NCII law could survive strict scrutiny (necessary to avoid being found unconstitutional under the First Amendment). Notably, that included things like the law having careful, narrow definitions of what images violated the law, requirements that the sharing be done with knowledge, that the images be non-consensual, and that there were clear exemptions for non-illegal uses like images for medical reasons, journalism, or science.

So the state Supreme Court listed out all these factors which were necessary to make the NCII law abide by the First Amendment. And… the Minnesota legislature decided to… ignore every single one. The law in question is broadly written and applies to plenty of perfectly legal speech. It doesn’t even include requirements for the images to be non-consensual or that there be intent, which means that if you wanted to get any AI tool provider in trouble, you could literally tell it to make a nudified image of yourself, send it to Minnesota’s Attorney General, and technically the company (that simply did what you told it to do with an image of yourself) could face fines of up to $500,000 per use.

So, even as xAI’s Grok tool is being credibly accused of generating non-consensual nudified images of people (in some cases children), we thought that xAI made a reasonable filing to try to block the law from going into effect. Bizarrely, the judge rejected both the Temporary Restraining Order request and the Preliminary Injunction request in short order, but without ever considering the merits of the complaint.

Instead, the judge was laser focused on a single issue: the law was passed in May, and set to go into effect in August, but xAI… had waited until the end of July (nearly three months) to sue. That was effectively the entirety of the judge’s analysis, saying that if you wait too long (how long is too long is not explained) then you can’t have a law blocked, no matter what the merits.

Last week, however, the Eighth Circuit appeals court jumped in and put the law on hold. There’s no explanation. The entire order is literally:

Appellant’s motion for injunction pending appeal is granted.

So, Minnesota’s AG, Keith Ellison, cannot currently enforce the law against xAI, but the case is far from over. It would be nice if at least one court actually looked at the law and asked whether it’s constitutional… but we’ll have to wait on that.

It would also be nice if the Minnesota legislature actually chose to write its laws in a manner compatible with the First Amendment, which I sorta feel shouldn’t require me asking them to do so.

Of course, the cynical take I’ve now heard from multiple people is that the Minnesota legislature deliberately wrote this law badly to bait Elon into suing over it, so they can get all the headlines about how Elon is “suing to protect nudification apps” and to rile people up about the court “blocking” that law. I’ve seen some of that happening on social media, where people are (understandably, but wrongly in this case) quick to condemn Elon and his apps.

The author of the law, state Senator Erin Maye Quade’s statement on the Eighth Circuit ruling completely misses the point:

“This ruling is another devastating reminder of how little the safety of women and children mean to men with money and power. Minnesota is the only state that has cut off predators’ access to technology to commit AI-image sexual abuse — and the Eighth Circuit Court of Appeals just gave child predators their favorite tool back, with no legal reasoning in the ruling. Nudification technology is overwhelmingly used to sexually abuse women and create child sexual abuse material. Since Minnesota’s law passed in May 2026, at least four lawsuits have been filed by children and women accusing Elon Musk’s company of engaging in image-based sexual abuse.

“To Musk, his company and its users: it is still illegal to disseminate nonconsensual sexual deepfakes, and dissemination includes sending to one or more persons. Each and every time his company generates a sexual deepfake and disseminates it to a user, the company is breaking the law.”

The thing is, if Senator Maye Quade actually wanted to protect the safety of women and children from “men with money and power,” then why didn’t she follow the roadmap the Minnesota Supreme Court laid out for her regarding how to write a similar law that can pass strict scrutiny? Even her comment regarding the illegality of “nonconsensual sexual deepfakes” shows that she knows about the earlier NCII law and how it was deemed acceptable under the First Amendment. So why didn’t she follow the same path with this law? It’s a question Minnesota journalists should be asking.

But the simple reality here is that Minnesota wrote a really badly drafted law here, which undermines any actual effort to deal with the very real problem of how people use nudification apps for abuse and harassment. Write a law that’s almost certain to get tossed by the courts — as Maye Quade did here — and victims end up with nothing, while abusers get to point to a court ruling and claim the law is on their side.

Writing a thoughtful, careful law that targets the actual harms would take actual work. Writing a poorly drafted law to goad one of the country’s most hated individuals into suing over it to make him look like a creep in headlines that help the politicians is easy. One is politics. The other is actually legislating to help people. Whether by design or by sloppiness, Minnesota went with the politics.

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Kanji of the Day: 車 [Kanji of the Day]

車

✍7

小1

car

シャ

くるま

自動車   (じどうしゃ)   —   car
自転車   (じてんしゃ)   —   bicycle
電車   (でんしゃ)   —   train
車両   (しゃりょう)   —   rolling stock
駐車場   (ちゅうしゃじょう)   —   parking lot
列車   (れっしゃ)   —   train
車内   (しゃない)   —   inside a car (train, bus, etc.)
乗用車   (じょうようしゃ)   —   car
車種   (しゃしゅ)   —   car model
新車   (しんしゃ)   —   new car

Generated with kanjioftheday by Douglas Perkins.

Kanji of the Day: 采 [Kanji of the Day]

采

✍8

中学

dice, form, appearance, take, gather, coloring

サイ

と.る いろどり

采配   (さいはい)   —   baton (of command)
喝采   (かっさい)   —   cheers
拍手喝采   (はくしゅかっさい)   —   clapping and cheering
納采   (のうさい)   —   betrothal gift
風采   (ふうさい)   —   appearance
采配を振る   (さいはいをふる)   —   to lead
采の目   (さいのめ)   —   pip (spot on a die)
風采が上がらない   (ふうさいがあがらない)   —   of poor appearance
風采があがらない   (ふうさいがあがらない)   —   of poor appearance
采六   (さいろく)   —   kid

Generated with kanjioftheday by Douglas Perkins.

12:00 AM

Meta’s Muse Is An Adorable Privacy And Security Dumpster Fire [Techdirt]

Meta’s agentic AI product Muse has had a rocky few weeks since launch. The product, which features an animated avatar named Jolly (one presumes to make mass hyper surveillance seem adorable) is supposed to help you offload busywork like making restaurant reservations, paying bills, or ordering groceries.

Despite Meta having claimed repeatedly that Muse was built with a heavy focus on privacy and security, the AI agent launched with a nasty zero-day flaw that made it possible to spy on Mac users. When one tech YouTuber put Muse in charge of their Facebook Marketplace sales, it sold his stuff way below acceptable rates and doled out their home address (the user apparently didn’t understand the permissions he set).

Somebody else found that you could trick Muse into giving root access on the device it’s running on by simply pretending to be a Muse agent yourself. Others found that Muse software not only accesses people’s private messages without approval, it often ignores all permissions and uploads them to the cloud – even if you specifically tell it not to.

That last problem was bad enough that Apple needed to change its macOS privacy settings to stop third-party app developers from misusing them to access message histories:

“Friday’s announcement comes two weeks after tech columnist Jason Aten said that Meta’s new general-purpose AI agent Muse sent him an unsolicited notification referencing a thread between him and a co-worker over Apple Messages. Aten said he never granted Muse permissions to read his messages and had assumed they were off-limits. Social media last week blew up with masses of people who agreed and said the incident showed that AI assistants given access to calendars, emails, messages, shopping accounts, and other resources are akin to a skill saw or other power tool. While potentially useful, they can do real damage if not used carefully.”

Meanwhile, Wired found that Muse consistently creates detailed profiles of all your friends, family, colleagues, “collaborators,” and people you “follow.” Obviously much of that information is necessary for the agent to get to “know” you, but this being Meta, people are understandably uncomfortable with this sort of massive ramp up of data collection in a country, under authoritarian control, that’s too corrupt to pass a privacy law or regulate data brokers:

“These [AI assistant] tools are actively soliciting users to plug their whole lives in—their emails, calendars, financial institutions, everything in order to be helpful assistance,” Bogen says. “That’s dramatically more information than people might have otherwise given to some of these companies. The breadth of access to information that these tools have will lead to a ballooning of what they know about users.”

But wait, there’s more! 404 Media found that in the weeks before launch, Meta was in a mad dash to quickly and sloppily fix multiple other vulnerabilities but refused to delay Muse’s launch to actually make sure the product was secure:

“The Meta source said they felt security teams were asked to push hot fixes to these bugs as quickly as possible and in a way that wouldn’t delay Muse’s launch, leading to what they described as “half-baked protections being rushed out to enable the launch. Many senior engineers believe it’s inevitable we’re going to have a massive data breach as a result of Hatch.” Muse is called “Hatch” internally and in Meta’s codebase.”

Many folks build their own agentic AI solutions with cobbled together open source hardware and software to ensure they have clear understanding of, and control over, what’s actually happening in their name. Meta, a glorified ad monopoly with a history of ethical “lapses,” not only wants to dominate the space, it will spend a lot of time in the new year lobbying against on device, open source, foreign, and/or open weighted alternatives to Meta.

Despite Meta’s claims that privacy and security would be a priority for Muse that’s clearly not the case; it’s also extremely clear that Meta doesn’t fear any meaningful government accountability or oversight, or the product would have spent significantly more time in the oven. Tech giants that had already clearly abandoned quality control at impossible scale are engaged in a mad dash to the trough with new product launches before their funny math causes a market correction.

Such is life in a country that has had most consumer protection regulators (and cybersecurity standards) lobotomized by corrupt authoritarians. Authoritarians guys like Mark Zuckerberg enthusiastically supported because they didn’t like paying taxes — and hated former FTC antitrust boss Lina Khan.

Muse’s early privacy and security problems are the kind of stuff anybody with a head on their shoulders could see coming miles over the horizon. And it’s all inevitably going to get more dangerous — and ridiculous — over the next year as unethical tech oligarchs fully exploit their successful lobotomization of the federal regulatory state. You know, for the love of innovation.

Pluralistic: Swapping money for expertise (06 Oct 2026) [Pluralistic: Daily links from Cory Doctorow]

->->->->->->->->->->->->->->->->->->->->->->->->->->->->-> Top Sources: None -->

Today's links



The First Bank of Chicago, a Grecian temple to money. It is surrounded by flames. A skeleton in academic robes and mortarboards has been lynched from its roof. In the foreground are banded packages of US $100 bills.

Swapping money for expertise (permalink)

Since the mid-1950s, we have changed the thing that "AI" refers to every 5-10 years. The current thing we're calling "AI" is about a decade old, and all this label-switching leads to a lack of clarity as to what (this) "AI" is. Unless you know that, you can't understand AI's technical capabilities, limitations, and (most of all) its political economy.

The thing we now call "AI" is a lineal descendant of the thing we were calling "AI" immediately before to the current "AI" emerged: that preceding AI is regular-degular "machine learning" (another flexible term, alas!). That slightly older AI was very similar to the current "AI", using comparable statistical techniques to analyze inputs and produce outputs. For example, the previous "AI" created the social media algorithms that have been the subject of so much discussion for 15+ years.

The difference is that this older AI was grounded in explicit, causal software models of the world. In the previous "AI" iteration, applying machine learning to playing chess required that a programmer first create a software model of a chess game, describing (in code) a chessboard, chess pieces, and the rules of chess. Then, the programmer fed a bunch of training data about chess games that had been played before to an "AI" system that analyzed their statistical relations and assayed chess moves.

The need to understand and describe a thing before you could apply "AI" to it is a bottleneck, because it requires programmers to understand how a thing works before they can incorporate it into an "AI" system. Lots of programmers know how to play chess, but far fewer understand the human pancreas, planetary weather systems, or patterns of mineral deposition in the Earth's crust.

For programmers to apply machine learning to these domains, they need to collaborate with experts who do understand them, who furthermore expect to be paid for this work. The need for expert input into this kind of "AI" represents a significant increase in the wage-bill paid by the programmer's employer: it means they have to pay for programmers and experts.

Even worse: this kind of "AI" can't be applied to systems we don't understand. We can observe far more causal relationships – instances in which A reliably causes B – in the universe than we can explain. There are lots of examples of us operationalizing these observations without understanding them. If you get sick today, your doctor might well prescribe one of the many medicines whose method of action is either incompletely understood or not understood at all. We know that molecule A reliably treats pathology B, but not why, and while that why is the subject of ongoing research, it's not necessary that the why be known before the molecule can be given to ailing patients.

But these mysterious phenomena are off-limits to "symbolic AI" (the previously ascendant kind of "AI," which was supplanted by today's "AI"). That kind of AI only really performs when it can operate over a model describing the theory of why A causes B (and not just the fact that A causes B for reasons unknown).

That's where the current kind of "AI" comes in. The major differentiator between the current "AI" and its immediate predecessor is that the current "AI" dispenses with models of reality. It is (in the jargon of the "Big Data" bubble that led to it) "theory-free."

In "theory-free AI," a programmer does not create a software model of reality and then ask a machine-learning system to use statistical insights from its training data to guess at how to operate over that model. Rather, the programmer shovels vastly more training data into the AI's inbox and uses titanic amounts of computing power to analyze that data and find statistical relationships without trying to explain them.

In other words, the current, "theory-free AI" finds all the instances in which A seems to cause B, but has no internal representation of why A causes B. This is true even when we know why A causes B! Purely theory-free chess programs don't operate with any conception of a board or pieces or rules – rather, they make guesses ("inferences" in AI-speak) about which chess move will be optimal based on vast, multi-dimensional arrays constructed by analyzing the statistical relationships among every chess move in their training data.

This yields a surprisingly good game of chess…until it doesn't. Because a theory-free statistical chess program doesn't "know" what a chessboard or a chess piece is and has no programmatic representation of the rules of chess, it will periodically move one of its pieces onto a square that is already occupied by another of its pieces.

When theory-free AI does this with language or image generation, we call it an "hallucination," but this is an extremely misleading metaphor. A biological "hallucination" involves some kind of misfire in your cognitive and/or sensory systems, often arising from chemical imbalances, intoxication, or neurological injury. When a theory-free AI puts a chess piece on a square where it already has a chess piece, that's because it's just extruding statistically founded guesses without any model or conception of what "chess" is. It's a feature, not a bug.

This is a very expensive way to make guesses! As far back as the 1950s, we were able to run conventional chess programs on computers built from vacuum tubes and electromechanical switches and these programs could play a valid game of chess without ever moving a chess piece to a square that one of its pieces already occupied. Modern theory-free AI that cannot manage this feat consumes heptillions of times more computing power.

That said, there's another case for theory-free AI: applying machine learning techniques to causal relationships we can observe but not explain. Remember, there are far more of these (as yet) unexplained causal relationships than there are perfectly understood ones. Theory-free AI can operate on these unexplained, observed phenomena in ways that the preceding (symbolic) AI can't. As anyone who's ever been successfully treated with a molecule whose method of action is partially or fully mysterious can attest, there's plenty of reasons to want to extract and operationalize these statistical relationships, even if we don't understand them.

The fact that theory-free AI can play chess but sometimes makes these weird errors makes it seem like a party-trick, but when you fold in the ability to operate on the (as yet) unexplained, you can see why people got interested in this about a decade ago.

What's more, the first bottleneck – the chess bottleneck – is most easily bypassed by adding the symbolic model back into the theory-free chess system. Today's "coding assistants" are hybridized in this way: they often integrate code interpreters or compilers that actually "know" what a computer program is and can head off many of these failure modes.

The introduction of these symbolic systems to theory-free systems is completely rational, and yet it represents an admission of a key limitation that theory-free AI cannot overcome. That limitation is both a technical fact, but even more importantly, it's a fact about theory-free AI's political economy: about the limitations of trading off expertise for money.

Because whatever else theory-free inference is, it is a way to swap the bottleneck of "before we can use a computer to help us do something, we need to find an expert who can explain how that thing works"; for a different bottleneck: "before we can use a computer to help us do something, we must spend an enormous amount of money on computing power to find statistical relationships between how things work."

Both money and expertise are scarce, but they are unevenly distributed. Expertise is almost entirely in the hands of people who aren't wealthy. However much money a billionaire has, they still have to hire people who have the "how to clean a toilet" or the "how to find seams of gold in quartz deposits" expertise. When that expertise is locally scarce (if there's only one person in town who know how to clean your toilet) or universally scarce (there's only one expert who can tell you which of your landholdings are likely to hold seams of gold) those experts have something that billionaires can't abide: power.

Our entire society is organized around converting money into power. Sometimes, that is overt, as when the wealthy can indenture or enslave a worker. Sometimes it is more indirect, as when the wealthy can enlist the state to limit union rights and enforce noncompete clauses in labor contracts. Sometimes it's so systemic as to be unremarkable and largely invisible, like the fact that the wealthy never have to work if they don't want to, but everyone else – no matter what expertise they hold – must work, usually for a wealthy person, lest they end up starving and homeless, with untreated medical conditions and no way to provide for their families.

Whenever a worker can say "no" to their boss, it's a sign that this system has broken down. This is where expertise comes in: a worker who has very scarce, in-demand expertise can say no to their boss all day long, because there are ten other bosses at the factory gates who'd like to offer them a job. This was the situation for many years among Silicon Valley engineers, who added an average of $1m/year to their bosses' turnover, and whose supply was very short of the demand for their rare expertise.

These engineers enjoyed all kinds of power. Not just power over their working conditions (free massages and kombucha and day care and dry cleaning), but also power over the company's products. This power crested in the late 2010s, when Google employees walked out en masse and forced the company to release them from binding arbitration waivers in their contracts, to crack down on sexual predators in the executive ranks, and to back out of billions of dollars in lethal drone projects for the Pentagon:

https://en.wikipedia.org/wiki/2018_Google_walkouts

The promise of theory-free inference isn't just about reducing the wage-bill associated with programmers: even more, it's about reducing their power. It's about removing their power to hold bosses to account for sexual assault and the power to withhold their labor from lethal military projects. In short, the power to thwart billionaires' desires.

AI is the money-losingest enterprise the human race has ever embarked upon. More than a trillion dollars has been spent this year to make a mere $50b in revenue. The technical excitement over AI's capabilities – from chess to gold-mining to treating pancreatic cancer – cannot be separated from the political excitement that billionaires (short on expertise, flush with cash) experience at the thought of swapping money for expertise and sidelining the only people in the world who can thwart their goals.

The fact that a theory-free AI might demand far more cash to accomplish a task (even a "solved" one like playing chess) than an expert would charge is beside the point. Billionaires have money, they don't have expertise. Theory-free inference is a bid to substitute one for the other: the beauty and terror of being able to manipulate the world without studying or understanding it is that it can be done with money alone. No experts needed.

In a world in thrall to financial power, expertise is the only substantial form of power that can reliably contest the power of wealth. Moreover, expertise is the foundation of other forms of power, such as labor power, which is what we call it when experts band together to combat financial power.

This is why AI bosses are so violently allergic to the idea of hybridizing AI with symbolic systems that operate on models of the world. These models of the world must be constructed by experts, and the power of expertise cannot be reliably commanded by the power of wealth.

This is even true when theory-free methods are applied to causal phenomena that we can observe without explaining. Sure, a pharma exec like Martin Shkreli or Arthur Sackler can command the production and sale of a molecule whose method of action isn't known but whose therapeutic value has been demonstrated. But to improve on that molecule, they must pay research scientists to study and unravel the method of action. Replace those experts with theory-free inference, and finance can emerge triumphant in the only forum in which it is routinely vanquished.

This is the political economy of theory-free AI. Without finance's infinite hostility to expertise, there would have been far less capital for theory-free AI. Experts who wanted to use theory-free AI to help them unravel and operationalize the causal universe could not have laid hands of the bales of $100 bills the industry is now shoveling into its money-furnaces at a rate never seen in human history.

Which is not to say that experts can't make good use of theory-free AI. Indeed, we frequently hear from skilled workers who are using "AI" to improve the quality of their outputs:

https://hrdag.org/tech-notes/large-language-models-IPNO.html

In automation parlance, these workers are "centaurs": workers who enlist technology to serve their needs. The centaur metaphor has the worker taking the role of the top half of the mythical man/horse, the half in which the judgment and decision-making takes place; while the bottom (horsey) half is given to the machine, providing strength, speed and stamina, but only at the direction of the human mind.

The unimaginable sums that oligarchs have committed to AI are mobilized in service to creating reverse centaurs: machines that enlist humans to serve them. If theory-free inference can substitute for expertise, then the humans the machines require to accomplish those tasks that elude computers will not have the power to set the pace of their work, insist upon humane working conditions, or reject work on unethical projects:

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

The joke's on the oligarchy, though. Because theory-free inference doesn't know about chessboards, chess pieces or the rules of chess, it can't be prevented from sometimes putting a chess piece on a square that's already occupied by one of its pieces. The "hallucinations" are intrinsic to and inextricable from theory-free inference, which means that the outputs of an "AI" can only be trusted if they can be evaluated by an expert, whose working tempo must be carefully modulated lest they fall prey to "automation blindness" (rapidly, repeatedly clicking "OK" until you lose the ability to spot mistakes):

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

Theory-free inference is technically and philosophically exciting: in their quest for a way to neutralize expertise with money, oligarchs inadvertently built a series of powerful scientific instruments that revealed a heretofore unsuspected degree of statistical regularity in the world:

https://pluralistic.net/2026/09/18/surprise/#wow-signal

But the remaining, stubbornly textured and rough edges of reality are where all the value is. The things we already understand about reality are, by definition, yesterday's news, and that's all a statistical model can do: project the past into the future. But everything exciting in the future is stuff we don't understand yet. The surprising functionality of theory-free AI is itself an example of this. The most interesting and valuable thing about theory-free AI isn't the things it can do, it's the systematic discovery and mapping of the statistically regular parts of reality, whose inverse provides a map of the irregular, surprising, poorly understood (and thus exciting and promising) phenomena in our universe.

Tomorrow's breakthroughs and fortunes lie not in merely operationalizing these causal relationships: they lie in understanding them. The point of theory-free inference is to give us the tools to replace that theory-freeness with testable, validated understanding.


Hey look at this (permalink)



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

Object permanence (permalink)

#15yrsago Tempo: transformative, difficult look at advanced decision-making theory https://memex.craphound.com/2011/10/07/tempo-transformative-difficult-look-at-advanced-decision-making-theory/

#10yrsago Internet shutdowns cost the world at least $2.4 billion last year https://www.brookings.edu/articles/internet-shutdowns-cost-countries-2-4-billion-last-year/

#10yrsago Youtube took down MEP’s videos about torture debate https://web.archive.org/web/20160701000000*/https://marietjeschaake.eu/en/when-youtube-took-down-my-video

#10yrsago Yahoo didn’t install an NSA email scanner, it was a “buggy” NSA “rootkit” https://web.archive.org/web/20161007140143/https://motherboard.vice.com/read/yahoo-government-email-scanner-was-actually-a-secret-hacking-tool

#10yrsago The FCC helped create the Stingray problem, now it needs to fix it https://www.eff.org/deeplinks/2016/08/fcc-created-stingray-problem-now-it-needs-fix-it

#5yrsago Scottish Limited Partnerships are still laundering criminal millions https://pluralistic.net/2021/10/07/markets-in-everything/#if-its-not-scottish

#5yrsago "Inclusive Access" allows textbook monopolists to permanently consolidate their gains https://pluralistic.net/2021/10/07/markets-in-everything/#textbook-abuses

#5yrsago DoS a federal agency, then charge for access https://pluralistic.net/2021/10/07/markets-in-everything/#no-th-enq

#1yrago They're just trying to earn a buck https://pluralistic.net/2025/10/07/take-it-easy/#but-take-it


Upcoming appearances (permalink)

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

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

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

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

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

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



Colophon (permalink)

Today's top sources:

Currently writing:

  • “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 513 (22395 total).

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

  • A Little Brother short story about DIY insulin PLANNING


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ISSN: 3066-764X

Denuvo Asks Court to Unmask Game Cracker ‘voices38’, Reveals Crypto Transactions [TorrentFreak]

denuvo logoLast month, Denuvo filed a DMCA anti-circumvention lawsuit against the anonymous game cracker ‘voices38’ at a federal court in California.

The Irdeto-owned company accuses the cracker of bypassing its Anti-Tamper protection on 26 games, including Hogwarts Legacy and Black Myth: Wukong.

For now, Denuvo does not know who it is suing. The complaint listed voices38’s Discord user ID, a Reddit account, and seven Steam profiles, but no name. As the lawsuit unfolds, Denuvo hopes to change that, with the court’s help.

In a recent filing, the company asked the court for permission to subpoena the platforms for information that could identify the cracker, ahead of the regular discovery phase.

Subpoenas for Discord, Valve and Reddit

In its ex parte motion, Denuvo explains that it reached out to the three companies directly, without success. Valve and Reddit replied that their privacy policies prevent them from sharing user data without legal backing and Discord didn’t respond at all. A subpoena is the next step.

“Denuvo seeks leave of the Court to serve limited discovery on Discord, Inc., Valve Corporation, and Reddit, Inc. solely to determine Defendant’s true identity,” the motion reads.

The proposed subpoenas show what type of information Denuvo is after. Valve, for example, is asked to hand over the registration data, names and billing addresses for seven identified Steam user accounts.

One of the Steam profiles listed in the filing uses the name Enzo Favara, the main character of Mafia: The Old Country. That is one of the games Denuvo alleges voices38 cracked.

One of the Steam profiles

One of the Steam profiles

Denuvo’s proposed subpoena also requests the payment methods and transaction histories of these accounts, as well as IP addresses with timestamps, device identifiers, and any linked accounts.

Steam payment data

Steam payment data

The seven Steam profiles don’t show much activity, but Denuvo likely linked them to cracking activity associated with ‘voices38’.

The proposed subpoenas for Discord and Reddit request detailed account data as well. Discord should list the servers the account is a member of and the roles assigned there. Reddit, meanwhile, is asked to produce all posts and comments by ‘voices38’, as well as the account’s subreddit memberships.

Crypto Transactions on FixedFloat

The motion also reveals new details. For example, it shows that Denuvo’s own investigation did not stop at these three platforms.

In a declaration filed alongside the motion, attorney Ryan Morris writes that Denuvo uncovered cryptocurrency transactions by the cracker on the exchange FixedFloat. These crypto transactions involve Bitcoin, Ethereum, and Solana.

From the declaration

From the declaration

The declaration doesn’t explain how Denuvo linked these transactions to ‘voices38.’ It also doesn’t say whether the transactions reveal anything about the person behind the handle.

FixedFloat is an instant crypto exchange that promotes its service as hassle free, with “no registration and unnecessary details.” Despite mentioning it explicitly, Denuvo doesn’t ask the court for permission to subpoena the crypto platform, and the filing doesn’t say why.

What’s Next

It’s now up to Judge Haywood S. Gilliam Jr. to decide whether Denuvo can send its subpoenas to Discord, Valve and Reddit.

Meanwhile, the lawsuit already appears to have caused some broader damage. Late last month, Tom’s Hardware reported that DenuvOwO, a group that released hypervisor bypasses for dozens of Denuvo games, had disbanded. A member reportedly said the lawsuit was a concern, while the CS.Rin forum removed links to the group’s releases.

The person or group targeted in the lawsuit didn’t seem impressed when the complaint was filed. “All is fine. Everything will continue as normal,” voices38 wrote on Reddit, shortly after the news broke.

voices38 comment

Since then, however, no new ‘voices38’ releases have been posted. Whether that’s related to the lawsuit is unknown.

—

A copy of Denuvo’s ex parte motion for expedited discovery is available here (pdf).

From: TF, for the latest news on copyright battles, piracy and more.

Tuesday 2026-10-06

11:00 PM

Lobby expertise [Seth Godin's Blog on marketing, tribes and respect]

Someone who has seen a lot of movies but has never made one has a certain kind of knowledge. The same is true for clients, patients and students. They haven’t solved a problem, healed a patient or taught a class, but they’ve seen it done.

They might have something helpful to add. Or they might not.


PS thanks to James Hunt for creating and maintaining THIS IS BROKEN, a directory of the 491 books I’ve recommended on this blog over the years.

The site inspired my podcast page as well.

      
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