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Pluralistic: Instacart reaches into your pocket and lops a third off your dollars (11 Dec 2025)

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A 1950s image of a mother and daughter pushing a shopping cart down a grocery store aisle. The left halves of these figures have stylized ASCII art superimposed over them. Behind them looms the hostile red eye of HAL9000 from Stanley Kubrick's '2001: A Space Odyssey.' The flood is gilded.

Instacart reaches into your pocket and lops a third off your dollars (permalink)

There's a whole greedflation-denial cottage industry that insists that rising prices are either the result of unknowable, untameable and mysterious economic forces, or they're the result of workers having too much money and too many jobs.

The one thing we're absolutely not allowed to talk about is the fact that CEOs keep going on earnings calls to announce that they are hiking prices way ahead of any increase in their costs, and blaming inflation:

https://pluralistic.net/2021/11/20/quiet-part-out-loud/#profiteering

Nor are we supposed to notice the "price consultancies" that let the dominant firms in many sectors – from potatoes to meat to rental housing – fix prices in illegal collusive arrangements that are figleafed by the tissue-thin excuse that "if you use an app to fix prices, it's not a crime":

https://pluralistic.net/2025/01/25/potatotrac/#carbo-loading

And we're especially not supposed to notice the proliferation of "personalized pricing" businesses that use surveillance data to figure out how desperate you are and charge you a premium based on that desperation:

https://pluralistic.net/2024/06/05/your-price-named/#privacy-first-again

Surveillance pricing – when you are charged more for the same goods than someone else, based on surveillance data about the urgency of your need and the cash in your bank account – is a way for companies to reach into your pocket and devalue the dollars in your wallet. After all, if you pay $2 for something that I pay $1 for, that's just the company saying that your dollars are only worth half as much as mine:

https://pluralistic.net/2025/06/24/price-discrimination/

It's a form of cod-Marxism: "from each according to their desperation":

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

The economy is riddled with surveillance pricing gouging. You are almost certainly paying more than your neighbors for various items, based on algorithmic price-setting, every day. Case in point: More Perfect Union and Groundwork Collaborative teamed up with Consumer Reports to recruit 437 volunteers from across America to login to Instacart at the same time and buy the same items from 15 stores, and found evidence of surveillance pricing at Albertsons, Costco, Kroger, and Sprouts Farmers Market:

https://groundworkcollaborative.org/work/instacart/

The price-swings are wild. Some test subjects are being charged 23% more than others. The average variance for "the exact same items, from the exact same locations, at the exact same time" comes out to 7%, or "$1,200 per year for groceries" for a family of four.

The process by which your greedflation premium is assigned is opaque. The researchers found that Instacart shoppers ordering from Target clustered into seven groups, but it's not clear how Instacart decides how much extra to charge any given shopper.

Instacart – who acquired Eversight, a surveillance pricing company, in 2022 – blamed the merchants (who, in turn, blamed Instacart). Instacart also claimed that they didn't use surveillance data to price goods, but hedged, admitting that the consumer packaged goods duopoly of Unilever and Procter & Gamble do use surveillance data in connection with their pricing strategies.

Finally, Instacart claimed that this was all an "experiment" to "learn what matters most to consumers and how to keep essential items affordable." In other words, they were secretly charging you more (for things like eggs and bread) because somehow that lets them "keep essential items affordable."

Instacart said their goal was to help "retail partners understand consumer preferences and identify categories where they should invest in lower prices."

Anyone who's done online analytics can easily pierce this obfuscation, but for those of you who haven't had the misfortune of directing an iterated, A/B tested optimization effort, I'll unpack this statement.

Say you have a pool of users and a bunch of variations on a headline. You randomly assign different variants to different users and measure clickthroughs. Then you check to see which variants performed best, and dig into the data you have on those users to see if there are any correlations that tie together users who liked a given approach.

This might let you discover that, say, women over 40 click more often on headlines that mention kittens. Then you generate more variations based on these conclusions – different ways of mentioning kittens – and see which of these variations perform best, and whether the targeted group of users split into smaller subgroups (women over 40 in the midwest prefer "tabby kitten" while their southern sisters prefer "kitten" without a mention of breed).

By repeatedly iterating over these steps, you can come up with many highly refined variants, and you can use surveillance data to target them to ever narrower, more optimized slices of your user-base.

Obviously, this is very labor intensive. You have to do a lot of tedious analysis, and generate a lot of variants. This is one of the reasons that slopvertising is so exciting to the worst people on earth: they imagine that they can use AI to create a self-licking ice-cream cone, performing the analysis and generating endless new variations, all untouched by human hands.

But when it comes to prices, it's much easier to produce variants – all you're doing is adding or subtracting from the price you show to shoppers. You don't need to get the writing team together to come up with new ways of mentioning kittens in a headline – you can just raise the price from $6.23 to $6.45 and see if midwestern women over 40 balk or add the item to their shopping baskets.

And here's the kicker: you don't need to select by gender, racial or economic criteria to end up with a super-racist and exploitative arrangement. That's because race, gender and socioeconomic status have broad correlates that are easily discoverable through automated means.

For example, thanks to generations of redlining, discriminatory housing policy, wage discrimination and environmental racism, the poorest, sickest neighborhoods in the country are also the most racialized and are also most likely to be "food deserts" where you can't just go to the grocery store and shop for your family.

What's more, the private equity-backed dollar store duopoly have waged a decades-long war on community grocery stores, enveloping them with dollar stores that use their access to preferential discounts (from companies like Unilever and Procter & Gamble, another duopoly) to force grocers out of business:

https://pluralistic.net/2023/03/27/walmarts-jackals/#cheater-sizes

Then these dollar stores run a greedflation scam that is so primitive, it's almost laughable: they just charge customers much higher amounts than the prices shown on the shelves and price-tags:

https://www.consumeraffairs.com/news/do-all-those-low-dollar-store-prices-really-add-up-120325.html

When you live in a food desert where your only store is a Dollar General that defrauds you at the cash-register, you are more likely to accept a higher price from Instacart, because you have fewer choices than someone in a middle-class neighborhood with two or three competing grocers. And the people who live in those food deserts are more likely to be poor, which, in America, is an excellent predictor of whether they are Black or brown.

Which is to say, without ever saying, "Charge Black people more for groceries," Instacart can easily A/B split its way into a system where they predictably and reliably charges Black people more for groceries. That's the old cod-Marxism at work: "from each according to their desperation."

This is so well-understood that anyone who sets one of these systems in motion should be understood to be deliberately seeking to do racist profiteering under cover of an algorithm. It's empiricism-washing: "I'm not racist, I just did some math" (that produced a predictably racist outcome):

https://www.reuters.com/article/world/insight-amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK0AG/

This is the dark side and true meaning of "business optimization." The optimal business pays its suppliers and workers nothing, and charges its customers everything it can. Obviously, businesses need to settle for suboptimal outcomes, because workers won't show up if they don't get paid, and customers won't buy things that cost everything they have⹋.

⹋ Unless, of course, you are an academic publisher, in which case this is just how you do business.

A business "optimizes" its workforce by finding ways to get them to accept lower wages. For example, they can bind their workers with noncompete "agreements" that ban Wendy's cashiers from quitting their job and making $0.25 more per hour at the McDonald's next door (one in 18 American workers have been locked into one of these contracts):

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

Or they can lock their workers in with "training repayment agreement provisions" (TRAPs) – contractual clauses that force workers to pay their bosses thousands of dollars if they quit or get fired:

https://pluralistic.net/2022/08/04/its-a-trap/#a-little-on-the-nose

But the most insidious form of worker optimization is "algorithmic wage discrimination." That's when a company uses surveillance data to lower the wages of workers. For example, contract nurses are paid less if the app that hires them discovers (through the unregulated data-broker sector) that they have a lot of credit-card debt. After all, nurses who are heavily indebted can't afford to be choosy and turn down lowball offers:

https://pluralistic.net/2024/12/18/loose-flapping-ends/#luigi-has-a-point

This is the other form of surveillance pricing: pricing labor based on surveillance data. It's more cod-Marxism: "From each according to their desperation."

Forget "becoming ungovernable": to defeat these evil fuckers, we have to become unoptimizable:

https://pluralistic.net/2025/08/20/billionaireism/#surveillance-infantalism

How do we do that? Well, nearly every form of "optimization" begins with surveillance. They can't figure out whether they can charge you more if they can't spy on you. They can't figure out whether they can pay you less if they can't spy on you, either.

And the reason they can spy on you is because we let them. The last consumer privacy law to pass out of Congress was a 1988 bill that bans video-store clerks from disclosing your VHS rental history. Every other form of consumer surveillance is permitted under US federal law.

So step one of this process is to ban commercial surveillance. Banning algorithmic price discrimination is all well and good, but it is, ultimately, a form of redistribution. We're trying to make the companies share some of the excess they extract from our surveillance data. But predistribution – ending surveillance itself, in this case – is always far more effective than redistribution:

https://pluralistic.net/2025/10/31/losing-the-crypto-wars/#surveillance-monopolism

How do we do that? Well, we need to build a coalition. At the Electronic Frontier Foundation, we call this "privacy first": you can't solve all the internet's problems by fixing privacy, but you won't fix most of them unless we get privacy right, and so the (potential) coalition for a strong privacy regime is large and powerful:

https://pluralistic.net/2023/12/06/privacy-first/#but-not-just-privacy

But of course, "privacy first," doesn't mean "just privacy." We also need tools that target algorithmic pricing per se. In New York State, there's a new law that requires disclosure of algorithmic pricing, in the form of a prominent notification reading, "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA."

This is extremely weaksauce, and might even be worse than nothing. In California we have Prop 65, a rule that requires businesses to post signs and add labels any time they expose you to chemicals "known to the state of California to cause cancer." This caveat emptor approach (warn people, let them vote with their wallets) has led to every corner of California's built environment to be festooned with these warnings. Today, Californians just ignore these warnings, the same way that web users ignore the "privacy policy" disclosures on the sites they visit:

https://pluralistic.net/2025/04/19/gotcha/#known-to-the-state-of-california-to-cause-cancer

The right approach isn't to (merely) warn people about carcinogens (or privacy risks). The right approach is regulating harmful business practices, whether those practices give you a tumor or pick your pocket.

Under Biden, former FTC chair Lina Khan undertook proceedings to ban algorithmic pricing altogether. Trump's FTC killed that, along with all the other quality-of-life enhancing measures the FTC had in train (Trump's FTC chair replaced these with a program to root out "wokeness" in the agency).

Today, Khan is co-chair of Zohran Mamdani's transition team, and she will use the mayor's authority (under the New York City Consumer Protection Law of 1969, which addresses "unconscionable" commercial practices) to ban algorithmic pricing in NYC:

https://pluralistic.net/2025/11/15/unconscionability/#standalone-authority

Khan wasn't Biden's only de-optimizer. Under chair Rohit Chopra, Biden's Consumer Finance Protection Bureau actually banned the data-brokers who power surveillance pricing:

https://pluralistic.net/2023/08/16/the-second-best-time-is-now/#the-point-of-a-system-is-what-it-does

And of course, Trump's CFPB (neutered by Musk and his broccoli-haired brownshirts at DOGE) killed that effort:

https://pluralistic.net/2025/05/15/asshole-to-appetite/#ssn-for-sale

But the CFPB staffer who ran that effort has gone to work on an effort to leverage a New Jersey state privacy law to crush the data-broker industry:

https://www.wired.com/story/daniels-law-new-jersey-online-privacy-matt-adkisson-atlas-lawsuits/

These are efforts to optimize corporations for human thriving, by making them charge us less and pay us more. For while we are best off when we are unoptimizable, we are also best off when corporations are totally optimized – for our benefit.

(Image: Cryteria, CC BY 3.0, modified)


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Today's top sources:

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  • A Little Brother short story about DIY insulin PLANNING


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‘Architects of AI’ Wins Time Person of the Year, Sends Gambling Markets Into a Meltdown

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‘Architects of AI’ Wins Time Person of the Year, Sends Gambling Markets Into a Meltdown

The degenerate gamblers of Polymarket and Kalshi who bet that “AI” would win the Time Person of the Year are upset because the magazine has named the “Architects of AI” the person of the year. The people who make AI tools and AI infrastructure are, notably, not “AI” themselves, and thus both Kalshi and Polymarket have decided that people who bet “AI” do not win the bet. On Polymarket alone, people spent more than $6 million betting on AI gracing the cover of Time.

As writer Parker Molloy pointed out, people who bet on AI are pissed. “ITS THE ARCHITECTS OF AI THISNIS [sic] LITERALLY THE BET FUCK KALSHI,” one Kalshi better said.

“This pretty clearly should’ve resolved to yes. If you bought AI, reach out to Kalshi support because ‘AI’ is literally on the cover and in the title ‘Architects of AI.’ They’re not going to change anything unless they hear from people,” said another.

“ThE aRcHiTeCtS oF AI fuck you pay me,” said a third.

“Another misleading bet by Kalshi,” said another gambler. “Polymarket had fair rules and Kalshi did not. They need to fix this.”

But bag holders on Polymarket are also pissed. “This is a scam. It should be resolved to a cancellation and a full refund to everyone,” said a gambler who’d put money down on Jensen Huang and lost. Notably, on Kalshi, anyone who bet on any of the “Architects of AI,” won the bet (meaning Sam Altman, Elon Musk, Jensen Huang, Dario Amodei, Mark Zuckerberg, Lisa Su, and Demis Hassabis), while anyone who bet their products—“ChatGPT” and “OpenAI” did not win. On Polymarket, the rules were even more strict, i.e. people who bet “Jensen Huang” lost but people who bet “Other” won.

“FUCK YOU FUCKING FUCK Shayne Coplan [CEO of Polymarket],” said someone who lost about $50 betting on AI to make the cover.

Polymarket made its reasoning clear in a note of “additional context” on the market.

“This market is about the person/thing named as TIME's Person of the Year for 2025, not what is depicted on the cover. Per the rules, “If the Person of the Year is ‘Donald Trump and the MAGA movement,’ this would qualify to resolve this market to ‘Trump.’ However if the Person of the Year is ‘The MAGA movement,’ this would not qualify to resolve this market to ‘Trump’ regardless of whether Trump is depicted on the cover,” it said.

“Accordingly, a Time cover which lists ‘Architects of AI’ as the person of the year will not qualify for ‘AI’ even if the letters ‘AI’ are depicted on the cover, as AI itself is not specifically named.”

It should be noted how incredibly stupid all of this is, which is perhaps appropriate for the year 2025, in which most of the economy consists of reckless gambling on AI. People spent more than $55 million betting on the Time Person of the Year on Polymarket, and more than $19 million betting on the Time Person of the Year on Kalshi. It also presents one of the many downsides of spending money to bet on random things that happen in the world. One of the most common and dumbest things that people continue to do to this day despite much urging otherwise is anthropomorphize AI, which is distinctly not a person and is not sentient.

Time almost always actually picks a “person” for its Person of the Year cover, but it does sometimes get conceptual with it, at times selecting groups of people (“The Silence Breakers” of the #MeToo movement, the “Whistleblowers,” the “Good Samaritans,” “You,” and the “Ebola Fighters,” for example). In 1982 it selected “The Computer” as its “Machine of the Year,” and in 1988 it selected “The Endangered Earth” as “Planet of the Year.” 

Polymarket’s users have been upset several times over the resolution of bets in the past few weeks and their concerns highlight how easy it is to manipulate the system. In November, an unauthorized edit of a live map of the Ukraine War allowed gamblers to cash in on a battle that hadn’t happened. Earlier this month, a trader made $1 million in 24 hours betting on the results of Google’s 2025 Year In Search Rankings and other users accused him of having inside knowledge of the process. Over the summer, Polymarket fought a war over whether or not President Zelenskyy had worn a suit. Surely all of this will continue to go well and be totally normal moving forward, especially as these prediction markets begin to integrate themselves with places such as CNN.

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Disney Invests $1 Billion in the AI Slopification of Its Brand

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Disney Invests $1 Billion in the AI Slopification of Its Brand

The first thing I saw this morning when I opened X was an AI-generated trailer for Avengers: Doomsday. Robert Downey Jr’s Doctor Doom stood in a shapeless void alongside Captain America and Reed Richards. It was obvious slop but it was also close in tone and feel of the last five years of Disney’s Marvel movies. As media empires consolidate, nostalgia intensifies, and AI tools spread, Disney’s blockbusters feel more like an excuse to slam recognizable characters together in a contextless morass.

So of course Disney has announced it signed a deal with OpenAI today that will soon allow fans to make their own officially licensed Disney slop using Sora 2. The house that mouse built, and which has been notoriously protective of its intellectual property, opened up the video generator, saw the videos featuring Nazi Spongebob and criminal Pikachu, and decided: We want in.

According to a press release, the deal is a 3 year licensing agreement that will allow the AI company’s short form video platform Sora to generate slop videos using characters like Mickey Mouse and Iron Man. As part of the agreement, Disney is investing $1 billion of equity into OpenAI, said it will become a major customer of the company, and promised that fan and corporate AI-generated content would soon come to Disney+, meaning that Disney will officially begin putting AI slop into its flagship streaming product.

The deal extends to ChatGPT as well and, starting in early 2026, users will be able to crank out officially approved Disney slop on multiple platforms. When Sora 2 launched in October, it had little to no content moderation or copyright guidelines and videos of famous franchise characters doing horrible things flooded the platform. Pikachu stole diapers from a CVS, Rick and Morty pushed crypto currencies, and Disney characters shouted slurs in the aisles of Wal-Mart.

It is worth mentioning that, although Disney has traditionally been extremely protective of its intellectual property, the company’s princesses have become one of the most common fictional subjects of AI porn on the internet; 404 Media has found at least three different large subreddits dedicated to making AI porn of characters like Elsa, Snow White, Rapunzel, and Tinkerbell. In this case, Disney is fundamentally throwing its clout behind a technology that has thus far most commonly been used to make porn of its iconic characters.  

After the hype of the launch, OpenAI added an “opt-in” policy to Sora that was meant to prevent users from violating the rights of copyright holders. It’s trivial to break this policy however, and circumvent the guardrails preventing a user from making a lewd Mickey Mouse cartoon or episode of The Simpsons. The original sin of Sora and other AI systems is that the training data is full of copyrighted material and the models cannot be retrained without great cost, if at all.

If you can’t beat the slop, become the slop.

“The rapid advancement of artificial intelligence marks an important moment for our industry, and through this collaboration with OpenAI we will thoughtfully and responsibly extend the reach of our storytelling through generative AI, while respecting and protecting creators and their works,” Bob Iger, CEO of Disney, said in the press release about the agreement.

The press release explained that Sora users will soon have “official” access to 200 characters in the Disney stable, including Loki, Thanos, Darth Vader, and Minnie Mouse. In exchange, Disney will begin to use OpenAI’s APIs to “build new products” and it will deploy “ChatGPT for its employees.”

I’m imagining a future where AI-generated fan trailers of famous characters standing next to each other in banal liminal spaces is the norm. People have used Sora 2 to generate some truly horrifying videos, but the guardrails have become more aggressive. As Disney enters the picture, I imagine the platform will become even more anodyne. Persistent people will slip through and generate videos of Goofy and Iron Man sucking and fucking, sure, but the vast majority of what’s coming will be safe corporate gruel that resembles a Marvel movie.

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mkalus
38 minutes ago
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Disney really is trying to wring as much money out of things as possible. Forget if anybody actually wants or enjoys it.
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Porn Is Being Injected Into Government Websites Via Malicious PDFs

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Porn Is Being Injected Into Government Websites Via Malicious PDFs

Dozens of government and university websites belonging to cities, towns, and public agencies across the country are hosting PDFs promoting AI porn apps, porn sites, and cryptocurrency scams; dozens more have been hit with a website redirection attacks which lead to animal vagina sex toy ecommerce pages, penis enlargement treatments, automatically-downloading Windows program files, and porn.  

“Sex xxx video sexy Xvideo bf porn XXX xnxx Sex XXX porn XXX blue film Sex Video xxx sex videos Porn Hub XVideos XXX sexy bf videos blue film Videos Oficial on Instagram New Viral Video The latest original video has taken the internet by storm and left viewers in on various social media platforms ex Videos Hot Sex Video Hot Porn viral video,” reads the beginning of a three-page PDF uploaded to the website of the Irvington, New Jersey city government’s website.

The PDF, called “XnXX Video teachers fucking students Video porn Videos free XXX Hamster XnXX com” is unlike many of the other PDFs hosted on the city’s website, which include things like “2025-10-14 Council Minutes,” “Proposed Agenda 9-22-25,” and “Landlord Registration Form (1 & 2 unit dwelling).” 

Porn Is Being Injected Into Government Websites Via Malicious PDFs

It is similar, however, to another PDF called “30 Best question here’s,” which looks like this:

Porn Is Being Injected Into Government Websites Via Malicious PDFs

Irvington, which is just west of Newark and has a population of 61,000 people, has fallen victim to an SEO spam attack that has afflicted local and state governments and universities around the United States. 

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Porn Is Being Injected Into Government Websites Via Malicious PDFs

Researcher Brian Penny has identified dozens of government and university websites that hosted PDF guides for how to make AI porn, PDFs linking to porn videos, bizarre crypto spam, sex toys, and more.

Reginfo.gov, a regulatory affairs compliance website under the federal government’s General Services Administration, is currently hosting a 12 page PDF called “Nudify AI Free, No Sign-Up Needed!,” which is an ad and link to an abusive AI app designed to remove a person’s clothes. The Kansas Attorney General’s office and the Mojave Desert Air Quality Management District Office in California hosted PDFs called “DeepNude AI Best Deepnude AI APP 2025.” Penny found similar PDFs on the websites for the Washington Department of Fish and Wildlife, the Washington Fire Commissioners Association, the Florida Department of Agriculture, the cities of Jackson, Mississippi and Massillon, Ohio, various universities throughout the country, and dozens of others. Penny has caught the attention of local news throughout the United States, who have reported on the problem.

Porn Is Being Injected Into Government Websites Via Malicious PDFs
Porn Is Being Injected Into Government Websites Via Malicious PDFs
Porn Is Being Injected Into Government Websites Via Malicious PDFs

The issue appears to be stemming from websites that allow people to upload their own PDFs, which then sit on these government websites. Because they are loaded with keywords for widely searched terms and exist on government and university sites with high search authority, Google and other search engines begin to surface them. In the last week or so, many (but not all) of the PDFs Penny has discovered have been deleted by local governments and universities. 

But cities seem like they are having more trouble cleaning up another attack, which is redirecting traffic from government URLs to porn, e-commerce, and spam sites. In an attack that seems similar to what we reported in June, various government websites are somehow being used to maliciously send traffic elsewhere. For example, the New York State Museum’s online exhibit for something called “The Family Room” now has at least 11 links to different types of “realistic” animal vagina pocket masturbators, which include “Zebra Animal Vagina Pussy Male Masturbation Cup — Pocket Realistic Silicone Penis Sex Toy ($27.99),” and “Must-have Horse Pussy Torso Buttocks Male Masturbator — Fantasy Realistic Animal Pussie Sex Doll.” 

Porn Is Being Injected Into Government Websites Via Malicious PDFs

Links Penny found on Knoxville, Tennessee’s site for permitting inspections first go to a page that looks like a government site for hosting files then redirects to a page selling penis growth supplements that features erect penises (human penises, mercifully), blowjobs, men masturbating, and Dr. Oz’s face. 

Another Knoxville link I found, which purports to be a pirated version of the 2002 Vin Diesel film XXX simply downloaded a .exe file to my computer. 

Penny believes that what he has found is basically the tip of the iceberg, because he is largely finding these by typing things like “nudify site:.gov” “xxx site:.gov” into Google and clicking around. Sometimes, malicious pages surface only on image searches or video searches: “Basically the craziest things you can think of will show up as long as you’re on image search,” Penny told 404 Media. “I’ll be doing this all week.”

The Nevada Department of Transportation told 404 Media that “This incident was not related to NDOT infrastructure or information systems, and the material was not hosted on NDOT servers.This unfortunate incident was a result of malicious use of a legitimate form created using the third-party platform on which NDOT’s website is hosted. NDOT expeditiously worked with our web hosting vendor to ensure the inappropriate content was removed.” It added that the third-party is Granicus, a massive government services company that provides website backend infrastructure for many cities and states around the country, as well as helps them stream and archive city council meetings, among other services. Several of the affected local governments use Granicus, but not all of them do; Granicus did not respond to two requests for comment from 404 Media. 

The California Secretary of State’s Office told 404 Media: “A bad actor uploaded non-business documents to the bizfile Online system (a portal for business filings and information). The files were then used in external links allowing public access to only those uploaded files. No data was compromised. SOS staff took immediate action to remove the ability to use the system for non-SOS business purposes and are removing the unauthorized files from the system.” The Washington Department of Fish and Wildlife said “WDFW is aware of this issue and is actively working with our partners at WaTech to address it.” The other government agencies mentioned in this article did not respond to our requests for comment.

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mkalus
38 minutes ago
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Scientists Discover the Earliest Human-Made Fire, Rewriting Evolutionary History

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Scientists Discover the Earliest Human-Made Fire, Rewriting Evolutionary History

Humans made fires as early as 400,000 years ago, pushing the timeline of this crucial human innovation back a staggering 350,000 years, reports a study published on Wednesday in Nature

Mastery of fire is one of the most significant milestones in our evolutionary history, enabling early humans to cook nutritious food, seek protection from predators, and establish comfortable spaces for social gatherings. The ability to make fires is completely unique to the Homo genus that includes modern humans (Homo sapiens) and extinct humans, including Neanderthals.

Early humans may have opportunistically exploited wildfires more than one million years ago, but the oldest known controlled fires, which were intentionally lit with specialized tools, were previously dated back to about 50,000 years ago at Neanderthal sites in France. 

Now, archaeologists have unearthed the remains of campfires ignited by an unidentified group of humans 400,000 years ago at Barnham, a village near the southern coast of the United Kingdom.

“This is a 400,000-year-old site where we have the earliest evidence of making fire—not just in Britain or Europe, but in fact, anywhere else in the world,” said Nick Ashton, an archaeologist at the British Museum who co-authored the study, in a press briefing held on Tuesday.  

“Many of the great turning points in human development, and the development of our civilization, depended on fire,” added co-author Rob Davis, also an archaeologist at the British Museum. “We're a species who have used fire to really shape the world around us—in belief systems, as well. It's a very prominent part of belief systems across the world.” 

Artifacts have been recovered from Barnham for more than a century, but the remnants of this ancient hearth were identified within the past decade. The researchers were initially tipped off by the remains of heated clay sediments, hydrocarbons associated with fire, and fire-cracked flint handaxes. 

But the real smoking gun was the discovery of two small fragments of iron pyrite, a mineral commonly used to strike flint to produce sparks at later prehistoric campfires such as the French Neanderthal sites.

Scientists Discover the Earliest Human-Made Fire, Rewriting Evolutionary History
Discovery of the first fragment of iron pyrite in 2017 at Barnham, Suffolk Image: Jordan Mansfield, Pathways to Ancient Britain Project.

“Iron pyrite is a naturally occurring mineral, but through geological work in the area over the last 36 years, looking at 26 sites, we argue that pyrite is incredibly rare in the area,” said Ashton. “We think humans brought pyrite to the site with the intention of making fire.”

The fire-starters were probably Neanderthals, who were known to be present in the region at the time thanks to a skull found in Swanscombe, about 80 miles northeast of Barnham. But it’s possible that the fires were made by another human lineage such as Homo heidelbergensis, which also left bones in the U.K. around the same period. It was not Homo sapiens as our lineage emerged in Africa later, about 300,000 years ago. 

Regardless of this group’s identity, its ability to make fire would have been a major advantage, especially in the relatively cold environment of southern Britain at the time. It also hints that the ability to make fire extends far deeper into the past than previously known.

“We assume that the people who made the fire at Barnham brought the knowledge with them from continental Europe,” said co-author Chris Stringer, a physical anthropologist at the Natural History Museum. “There was a land bridge there. There had been a major cold stage about 450,000 years ago, which had probably wiped out everyone in Britain. Britain had to be repopulated all over again.” 

“Having that use of fire, which they must have brought with them when they came into Britain, would have helped them colonize this new area and move a bit further north to places where the winters are going to be colder,” he continued. “You can keep warm. You can keep wild animals away. You get more nutrition from your food.”

Scientists Discover the Earliest Human-Made Fire, Rewriting Evolutionary History
Excavation of the ancient campfire, removing diagonally opposed quadrants. The reddened sediment between band B’ is heated clay. Image: Jordan Mansfield, Pathways to Ancient Britain Project.

Although these humans likely had brains close in size to our own, the innovation of controlled fire would have amplified their cognitive development, social bonds, and symbolic capacities. In the flickering light of ancient campfires, these humans shared food, protection, and company, passing on a tradition that fundamentally reshaped our evolutionary trajectory.

“People were sitting around the fires, sharing information, having extra time beyond pure daylight to make things, to teach things, to communicate with each other, to tell stories,” Stringer said. “Maybe it may have even fueled the development of language.”

“We've got this crucial aspect in human evolution, and we can put a marker down that it was there 400,000 years ago,” he concluded.

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mkalus
39 minutes ago
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Adventskalender 2025, Türchen #11: Pyrococcus – Xiphias V

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Nachdem wir gestern schon mit Disco durch die Zeit gereist sind, sorgt Pyrococcus heute für derbe 80er Flashbacks. Das fühlt sich an, als würden wir dienstagabends in der Stube auf der Couch sitzen und vorm Röhrenfernseher auf Miami Vice warten. Und genau so klingt es auch. Wenn Klang Farben hätte, wären diese hier alles mit Neon. Und natürlich mit dem obligatorischen Saxophon. So als ob jemand einen Computer gefragt hätte, wie gute Laune klingt. Eine Party zwischen Mensch und Mikrochip am kleinen Freitag.

Style: Synthwave
Length: 01:17:39
Quality: 320 kBit/s

Tracklist:
00:00 Lazer Club – Heat of the Night
05:13 At 1980 & Josh Dally – Back to me
08:35 Sunglasses Kid – Fixing me with Love
13:03 Solidstice – In The Night
18:17 Jessy Mach – The Gamer
19:41 LeBrock – STAR (feat. McRocklin)
23:25 CJ Burnett – Testarossa Lines
26:42 Pyrococcus – Returning To Earth (Noræf Remix)
30:38 The G – Wanderers (feat. Michelle B)
33:50 Fear of Tigers – Down to the Sea… and Back
37:27 Pyrococcus – Raving (Mark Dee Remix) (feat. Federico Amaro & Shred Krueger)
41:39 Pyrococcus – Glory of the Cosmos (Jessy Mach Remix)
46:09 Neon Capital & Kinck – New Beginning
49:07 The Weeknd – Open Hearts
53:10 Kalax – Astray (feat. McRocklin)
57:11 Mark Dee – Hot Pursuit (feat. Shred Krueger)
60:13 Born In ’82 – New Drive
63:50 Neon Capital & Clara Sofie – Easy to Breathe
66:45 NeverMann – All 4 U (Elevate the Sky Remix)
71:14 NeverMann – All 4 U (Yoru Remix)
74:52 Max Cruise – Lasers and Mirrors

Alle der diesjährigen Kalendermixe finden sich hier.

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mkalus
1 hour ago
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