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"I can’t take it anymore. The threats," the treasurer said. The planned data center is part of OpenAI and Oracle's Stargate initiative.#News


Township Leader Resigns in Tears Over OpenAI Data Center Death Threats


The treasurer of Saline Township, Michigan, publicly resigned last week citing death threats she’d received related to the construction of an Oracle and OpenAI datacenter.

“I’m submitting my resignation effective May 29th. I can’t take it anymore. The threats. The ‘I’m gonna tar and feather you.’ I hope you get bit by ah […] it’s so disgusting,” treasurer Jennifer Zink said between sobs at the end of a two hour township meeting on May 13.
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“The last one was, they hope we step on, I don’t know, some tick nest and ticks get on us and we get Lyme disease and die. Or something to that effect,” township clerk Kelly Marion, who did not resign but described some of the threats, said.

“It’s horrible. I can’t do it anymore,” Zink continued. “I have two boys. I don’t need to deal with this. I have my personal stuff at home to deal with. I don’t need […] my life threatened or to be told ‘I hope you die a premature death.’ What the hell’s wrong with people?”


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Saline Township Treasurer resigning after death threats. Full video on YouTube.

Saline Township is a rural farming community in southern Michigan with a population of around 2,300 people. Last year, construction company Related Digital pinpointed the township as a location for the construction of a $16 billion dollar data center related to Oracle and OpenAI’s Stargate initiative. It didn’t sit well with some town residents and the board voted to deny zoning changes that would, they thought, stop the data center from proceeding.

Instead of looking elsewhere, Related Digital sued Saline Township. The Township board looked at its options, decided it couldn't fight the massive corporation, and settled the lawsuit. In response, Saline Township’s residents pushed to recall three members of the board.

Emotions ran high on the night of May 13 as residents and the Township board spoke at length about the proposed data center. Some still opposed it and blamed the board for allowing it to happen while others claimed the construction was inevitable.

“I have two words that I’d like to offer up to everyone tonight and those words are grace and revenge,” said Kathy, a woman who said she’d lived in the Township for more than 30 years. “My voice is shaking because I’m angry at the narrow-mindedness that’s being represented in this room tonight.”

Kathy defended the board and painted the grim reality of the farming community. “I understand what’s happening to our farming community: their children don’t want to farm anymore. So what do they do? They sell the property for you [sic] for $50,000 an acre when they could sell it for $100,000 an acre? Ain’t gonna happen,” she said. “Are the taxpayers going to pay to keep the farmers from selling out? They’re not.”

“[Governor Gretchen Whitmer] probably knew that the freight train was coming down the track,” Kathy said. “How much money does our Township have? A million dollars? Tax collection, et cetera. What’s the price of this data center? $16 billion. How many millions does it take to create $16 billion dollars? A lot.”

When Kathy finished she moved back to the audience and another woman at the meeting leaned over and said “screw you” as she passed.

At the end of the night, before Zink’s resignation, clerk Marion said she didn’t fault anyone but was tired of misinformation and hateful comments directed at her and other board members. “It’s very clear: no one wanted the data center,” she said. “I don’t fault anybody. I’m the one that voted ‘no’ against the board, but I did not see Related going away.”

“I’m sick and tired of hearing about ‘we’ve signed NDAs, we’ve taken money.’ Those are defamatory remarks and I’m to the point: if I see one that I can hire a lawyer for and pursue that, I will,” she said. “I’m sick of it […] I’m tired of the comments. If you have proof that we’ve done such a thing, put it out there, make it factual. But you’ve created a monster.”

Marion also said that the Township’s lawyers gave them a rough estimate of what losing the lawsuit would have cost and it was grim. “It was gonna be about $29,000 per household per resident, approximately, in additional taxes,” Marion said. The board said that the tax burden would have fallen on each township resident every year for the next decade if they had fought and lost.


#News

A Texas councilmember will propose “a total ban on all cellular and GPS-capable devices for all operations within city limits" and"a total termination of all internet services."#Flock


After Town Bans Flock, Councilmember Crashes Out, Proposes Internet and Phone Ban


After months of discussion and outrage from residents, the city council of the tiny town of Bandera, Texas voted 3-2 to immediately end its contract with the surveillance company Flock. In the aftermath of the vote, one of the dissenting council members crashed out and said he would be introducing measures to ban cell phones, the internet, cameras, and nearly all technology in the town of roughly 900 people.

Bandera had a state grant to install eight Flock Safety AI license plate reader cameras in the tiny town. The technology proved to be incredibly controversial, with residents repeatedly turning out to city council meetings to say that they did not want government surveillance in the town; the poles that the cameras were installed on were repeatedly destroyed by vandals in protest, leading the town to have to replace them at their own expense. Last week, the town formally decided to abandon its contract with Flock entirely.

After the vote, Councilmember Jeff Flowers, a staunch Flock supporter, said that if people in the town wanted privacy then the city council should basically ban all technology, essentially calling people who did not want government surveillance hypocrites. Flowers said he would propose a series of new regulations at an upcoming city council meeting, which he is calling the “Bandera Declaration of Digital Independence.” In a letter posted by the local newspaper, the Bandera Bulletin, Flowers said that in the name of preserving privacy he would suggest the city go back to the days of 1880 .

“For months, I have listened to the outcry regarding License Plate Recognition (LPR) technology. I have seen the eyerolls, and I’ve even been met with ‘Nazi rhetoric,’ the dangerous claim that believing in accountability and community safety is somehow equivalent to totalitarianism,” Flowers wrote. “Comparing a neighbor’s desire for a safe street to a dark chapter of history is a classic case of comparing apples to oranges; it is a distraction used to avoid the reality of the threats our town faces today.”

Flowers said that at the next city council meeting he will propose “a total ban on all cellular and GPS-capable devices for all operations within city limits. If we are to be truly ‘private,’ we must leave our smartphones at the city line.” He will also propose “a total ban on outward facing cameras,” and “a total termination of all internet services and electronic record-keeping. We are going back to 1880, paper ledgers and cash only.”
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Like in many other communities around the country, the use of Flock’s AI cameras has become a major topic of discussion in Bandera. In February, Bandera held a town hall meeting exclusively about Flock that Flowers moderated. Kerry McCormack, a former Cleveland city council member who is now on the public affairs team for Flock, came to that meeting to discuss the technology, demonstrating that the company is sending representatives even to tiny towns in order to promote its use. Bandera paid for its Flock cameras using a public safety grant from the state of Texas; in his letter, Flowers said that the city “didn’t just throw away a state grant (free money), they spent $15,000 of your local tax dollars out of pocket to back out of the deal.”

In an earlier February city council meeting, Flowers said, “I believe personally that guilty people act defensively. If you don’t have anything to hide, then it shouldn’t be a problem. I also believe when you are in a public space, your privacy kind of goes out the window because you are in essence in a public place.”

Bandera had eight Flock cameras installed. At the meeting last week where the town voted to end the Flock contract, residents noted that Bandera has one of the lowest crime rates in the state. Other residents noted that people in the town kept cutting down the poles the Flock cameras are installed on, leading the town to continually spend money and time to replace them. Residents said they felt like they made it clear that they do not want the cameras in the town, but that the town had dragged its feet on actually ending the contract.
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“This is the fifth meeting [about Flock]. How many more meetings are we going to have to have before we get to the idea that we don’t need the Flock system?” one resident said in the meeting last week. “How many more meetings is it going to take before we understand the community didn’t vote for this? They don’t want it. How many more times are the cameras going to have to get cut down before somebody realizes it’s not worth the money? It’s coming to a point where we’re going to have to have meetings until we’re all dead […] By putting the cameras back up [after they’ve been cut down], you’re basically baiting someone else to come cut them down or shoot them down, you’re basically causing an issue because we didn’t vote for it.”

Another resident said Flock “doesn’t pass the vibe check. Bandera is the cowboy capital of the world. We don’t need to implement mass government surveillance in our town.”
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At the meeting last week, city council members discussed how it was clear residents didn’t want Flock cameras, and that the town had stopped installing new ones, but that it never formally ended the contract. “Call for a vote please,” one council member eventually said. “It’s a waste of time,” to keep discussing a technology that residents didn’t want, they added. At that point, the council proposed to “deactivate and remove any Flock cameras that are city owned,” and voted to end the contract.

The discussion that happened in Bandera is essentially the same one that has played out throughout the country in small towns and large cities across the political spectrum. Time and time again, local politicians advocate for more surveillance even when it is clear their constituents don’t want it. In Troy, New York, the city council voted to end its Flock contract, for example, but the mayor declared a state of emergency to continue using the cameras, The Washington Post reported. In Dunwoody, Georgia, residents have been fighting against Flock after they learned the company was using cameras in the city in sales demos. The city council there elected to slightly tweak its contract with Flock but not end it entirely. Later this week, Flock is throwing a training for police officers about “how to speak with city councils: meeting the moment with confidence.”

In his letter to residents, Flowers said that they should stop being hypocrites by using technology.

“Let’s take Bandera back to 1880 properly. No double standards, no hypocrisy,” Flowers wrote. “If LPRs are ‘unconstitutional’ and invade our right to ‘public’ privacy, we need to be courageous enough to go all the way. I look forward to the ‘Privacy First’ crowd showing up to support these bans [...] just remember to leave your phones at home.”

Earlier this year, after the February town hall meeting, Flowers told the Bandera Bulletin that he believed town residents’ privacy concerns “deserve to be addressed directly and respectfully.” Flowers did not respond to multiple requests for comment from 404 Media.


Commencement speeches, poop images to train AI, and cameras stuck to preschool teachers also to train AI.#Podcast


Podcast: Elites Just Don't Get AI


We start this week with Sam telling us all about the commencement speeches where speakers have been praising AI, including former Google CEO Eric Schmidt. That did not go down well! After the break, Jason tells us how he was offered the chance to buy a bunch of images of poop to train AI (really). In the subscribers-only section, Joseph explains how researchers planned to stick cameras onto preschool teachers to train AI.
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Listen to the weekly podcast on Apple Podcasts,Spotify, or YouTube. Become a paid subscriber for access to this episode's bonus content and to power our journalism. If you become a paid subscriber, check your inbox for an email from our podcast host Transistor for a link to the subscribers-only version! You can also add that subscribers feed to your podcast app of choice and never miss an episode that way. The email should also contain the subscribers-only unlisted YouTube link for the extended video version too. It will also be in the show notes in your podcast player.
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The software, called Delulu, is marketed specifically to streamers and lets them easily transform into other people including George Floyd, Jeffrey Epstein, and other streamers.#News


Streamer Realtime Deepfakes Himself into Mr. Beast, Says He Loves 'Touching Little Boys'


An app that allows users to deepfake their appearance in realtime has predictably resulted in a streamer making nonconsensual and potentially defamatory content. Specifically, the streamer made himself look like Mr. Beast and said “I love touching little boys’ pee pees.”

Sam Pepper, a British internet personality known for videos and streams in which he harasses people with so-called pranks, and who has been banned from multiple platforms, used the realtime deepfake app on Kick, a streaming platform and Twitch competitor known for its loose moderation policies.

Initially, Pepper made himself look like a seemingly random woman, but then switched his appearance to look like real people including Mr. Beast, Jeffrey Epstein, Amouranth, and Sydney Sweeney. When he appeared as one of the women, Pepper showed the AI-generated body to the camera, pulled up the dress, and played with the AI-generated breasts.

The app Pepper used, called Delulu, offers users the ability to appear as any of these celebrities out of a menu of likenesses the app calls “skins,” many of which are created by Delulu users. Delulu users can make themselves look like animals, cartoons, and fictional characters, but also real people like George Floyd, politicians like Donald Trump and Vladimir Putin, or celebrities like Kim Kardashian and Eminem. The site also includes skins for a number of adult performers. All users have to do to change their appearance is give the app access to their camera and click on one of these skins. Much like Civitai and other platforms and communities for sharing custom AI models, Delulu allows users to create and share their own models. All the skins Pepper showed on Stream appear to be user-generated.
Some of the skins on Delulu
The result is not as convincing as some other pieces of software that allow people to deepfake their appearance in real time, but is free and easy to use. For example, we recently wrote about Haotian AI, a Chinese-language realtime deepfake software that’s marketed to scammers. Haotian AI costs thousands of dollars, is difficult to install, and requires a powerful video card.

Delulu is just one of several AI video products from Decart, a company that has raised more than $450 million in several rounds of funding from established Silicon Valley venture capital firms like Sequoia and Benchmark. Decart also makes an AI video generator called MirageLSD, and a realtime video AI model called Lucy 2 similar to Delulu. One of the main differences between Lucy 2 and Delulu is that Delulu caters to streamers.

Delulu’s terms of use don’t say anything about people using the platform to take on the likeness of other real people, but does say its policy is “to respect the legitimate rights of copyright and other intellectual property owners, and we will respond to clear notices of alleged copyright infringement.”

Kick and Decart did not respond to requests for comment about whether Pepper’s behavior was allowed on their platform.

Decart presented realtime AI video tech, but not Delulu, at TwitchCon last year.

"The creator in question has been suspended from Twitch since 2018," Twitch told me in an email. "We have numerous policies in place to protect against impersonation and harassment, as well as youth safety policies – the content described is a clear violation of those rules."

Update: This article has been updated with comment from Twitch.


#News

The attorney for Nikko D’Ambrosio, who tried and failed to sue women for posting about him in an “Are We Dating the Same Guy” Facebook group, has apparently been using AI to file non-existent citations, according to a judge.#AI #arewedatingthesameguy #awdtsg #dating


Lawyer for Guy Who Sued Women Who Called Him ‘Psycho’ Caught Using AI


The guy who sued 27 women, one man, and several platforms after users in a Facebook group called him “clingy” and “psycho” had his case against Meta dismissed after a judge suggested that his attorney filed AI-generated errors and non-existent citations.

In Nikko D’Ambrosio’s complaint, he claimed Facebook profited off of disparaging posts about him in a Chicago-based Are We Dating the Same Guy (AWDTSG) group. Judge David Hamilton wrote: “The brief included no citation to any legislative findings, let alone any including the statute’s targets as the brief asserted... These mistakes and fictitious quotations bear the hallmarks of the misuse of generative artificial intelligence.”

The detail was spotted by attorney Rob Freund on X:

The Chicago man who brought a defamation case over FB comments in "Are We Dating the Same Guy?" group appealed the dismissal of his case.

He loses again, and this time the court calls out his lawyers' AI misuse, noting some irony around it.

The appellate brief included several… t.co/vjT8FYcmvf pic.twitter.com/bbFeOwrFD4
— Rob Freund (@RobertFreundLaw) May 18, 2026


According to D’Ambrosio’s complaint, a woman posted in the group that she’d blocked his number. “Very clingy [and] very fast,” she wrote in the Facebook group. “Flaunted money very awkwardly and kept talking about how I don’t want to see his bad side.“ She blocked his number and he texted her from another one, she wrote. His response, included as an exhibit in the case—which he didn’t dispute until very late in the trial—was as follows, with redactions by the court: “Speak for yourself you ugly vial [sic] fake whore. Your ego matches that fake f****** face where you can’t even smile in pictures because your teeth are so f*****. The truth hurts b**** and my message will stay with you forever c***.”

D’Ambrosio’s initial attempts at suing the moderators of the groups, specific women who posted in the group about allegedly being harassed by him, and GoFundMe and Meta floundered under multiple revised complaints and finally, a dismissal in May 2025. He and his attorneys appealed two months later.

In 2024, in the middle of these case proceedings, including a failed class-action lawsuit that attempted to bring together men who felt wronged by Are We Dating the Same Guy groups, D’Ambrosio was sentenced to a year in prison for tax fraud. D’Ambrosio’s attorney at the time insinuated to the jury his client was too dumb to do his own taxes and therefore was innocent: “I don’t mean this to disparage Nikko in any way, but as you can see from his educational records, he is not the most sophisticated human being,” attorney Christopher Grohman said. “Somebody with his skill set is not doing his own taxes, and nor should he be, frankly. You go to a professional. And the professional he relied upon was his cousin.”

Are We Dating the Same Guy groups allow members to crowdsource “red flags or tea” about men they’re dating.

D’Ambrosio didn’t argue his “reportedly obnoxious behavior on dates and after a breakup” as listed in the AWDTSG group, the judge wrote, until it came time for oral arguments to appeal a dismissal of the case, “meaning any potential claim based on that statement was doomed as well.”

Judge Hamilton lists many reasons why D’Ambrosio doesn’t have a case strong enough to maintain that Meta violated any right-to-publicity laws or profited off his likeness through the AWDTSG group. Among them: his attorney Aaron Walner’s “sloppy” use of AI.

“We see such sloppy work in briefs fairly often, and almost always let it pass without comment as we try to focus on the merits of appeals,” Hamilton wrote. “But the next sentence in attorney Walner’s opening brief for D’Ambrosio said. Not only did Walner cite cases that didn’t support his argument, the only place judges could find one of the citations was in a decision that supported the opposite of the point he was apparently trying to make.

Aaron Walner is an attorney at Marc Trent’s law firm. Trent’s website, as the judge points out, brags extensively about Trent’s use of AI. In a blog post titled "How Marc Trent Uses AI to Deliver Cutting-Edge Legal Solutions," he lists “AI-Powered Case Management” and “Smarter Legal Strategies" as ways he practices law using LLMs: “Gone are the days of sifting through mountains of paperwork. Our AI tools automate document review, flagging key information and identifying relevant case law in seconds,” the site says.

The court demanded Walner, Trent and D’Ambrosio answer for their AI-generated filings or face sanctions. Lawyers getting caught and sanctioned for using AI and wasting the court’s time and clients’ resources happens so often now it barely makes the news anymore. This phenomenon started in the last year, and has since exploded into a legal-world epidemic, with judges’ patiences wearing thin and more people choosing to represent themselves in court, with the “help” of an LLM like ChatGPT. Lawyers, meanwhile, blame everything from family emergencies to technical difficulties when they get caught, and often throw their own paralegals under the bus.

Trent Law Firm did not respond to a request for comment.

“We don’t just use AI for the sake of it. Every tool and strategy is aimed at one thing: winning your case,” Trent’s site says. In D’Ambrosio’s case, it helped lose it.


AI Channel reshared this.

Only a couple vendors could likely fulfill what the FBI is after, namely Flock and Motorola.#Privacy #News


The FBI Wants to Buy Nationwide Access to License Plate Readers


The FBI wants to buy access to automated license plate readers (ALPRs) nationwide, which would likely allow the agency to track the movements of vehicles—and by extension people—across the country without a warrant, according to FBI procurement records reviewed by 404 Media.

The documents show that ALPRs continue to be a sought-after tool for law enforcement, not just for local police and individual communities, but federal agencies too. The news also comes as protests and pushback against ALPRs have spread around the country.

💡
Do you work at Flock or Motorola? I would love to hear from you. Using a non-work device, you can message me securely on Signal at joseph.404 or send me an email at joseph@404media.co.

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Britt Paris's new book 'Radical Infrastructure: Imagining the Internet from the Ground Up' tells the story of the physical internet, and how it can benefit people, not corporations.#Podcast #podcasts


Podcast: The Physical Politics of the Internet with Britt Paris


As you scroll around the web, how often to you think about the physical infrastructure—the miles of cables, acres of land—that makes up the internet? This is where real power lies, and there are ways to imagine it differently, as serving the people who use these utilities instead of big tech execs.

This week, I’m delighted to be joined by Britt Paris. Britt is a critical informatics scholar and Associate Professor of Library and Information Science at Rutgers University’s School of Communication & Information. Her work focuses on Internet infrastructure, artificial intelligence-generated information objects, digital labor, civic data, and social epistemology. She’s also a fellow with AI Now. Her book Radical Infrastructure: Imagining the Internet from the Ground Up just came out in February.
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Britt tells us about how her great-great-great uncle started a telecommunications cooperative in rural Missouri before the city even had connection, how examples like NEMR show us an alternative to monopolies that provide internet access and let people decide how they want their internet to work for them, and what’s giving her hope as she helps bargain for educators’ rights at Rutgers.
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Listen to the weekly podcast on Apple Podcasts,Spotify, or YouTube. Become a paid subscriber for access to this episode's bonus content and to power our journalism. If you become a paid subscriber, check your inbox for an email from our podcast host Transistor for a link to the subscribers-only version! You can also add that subscribers feed to your podcast app of choice and never miss an episode that way. The email should also contain the subscribers-only unlisted YouTube link for the extended video version too. It will also be in the show notes in your podcast player.

Radical Infrastructure: Imagining the Internet from the Ground Up

The American Association of University Professors on AI

University Professors Disturbed to Find Their Lectures Chopped Up and Turned Into AI Slop

Community Votes to Deny Water to Nuclear Weapons Data Center


“With your permission, your child’s lead teacher may wear a small teacher-worn camera that captures the teacher's approximate first-person perspective, and/or we may place a fixed video camera in the classroom,” a document given to parents and later shared with 404 Media reads.#Privacy #News


Researchers Wanted Preschool Teachers to Wear Cameras to Train AI


University of Washington researchers planned to have preschool teachers wear cameras that would record everything they saw from a first-person perspective, including the children they were teaching, then use that footage to develop AI models. One parent who spoke to 404 Media understood the program as opt-out, rather than opt-in. The university said classroom participation was contingent upon receiving parental permission for all of the children.

“With your permission, your child’s lead teacher may wear a small teacher-worn camera that captures the teacher's approximate first-person perspective, and/or we may place a fixed video camera in the classroom,” a document given to parents and later shared with 404 Media reads. “These videos simply capture the normal interactions between teachers and children during regular classroom activities. Recordings occur during morning program hours up to 150 minutes, up to 4 visits in one month. Your child will not be asked to do anything new or different. Their daily routine will stay exactly the same.”

💡
Do you know anything else about how researchers are using AI? I would love to hear from you. Using a non-work device, you can message me securely on Signal at joseph.404 or send me an email at joseph@404media.co.

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A type of crystal lattice called a clathrate structure has been found for the first time in the fallout of a nuclear detonation.#TheAbstract


Scientists Discover Strange New Crystal Formed by Nuclear Blast


Welcome back to the Abstract! Here are the studies this week that were long in the tooth, trapped in the lattice, unearthed in Thailand, and entombed in post-apocalyptic waters.

First, scientists discover that even Neanderthals had to go to the dentist. Then: a nuke-born crystal, a 60,000-pound herbivore, and life after the death of most species on the planet.

As always, for more of my work, check out my book First Contact: The Story of Our Obsession with Aliens or subscribe to my personal newsletter the BeX Files.

A trip to the Neanderthal dentist


Zubova, Alisa V. et al. “Earliest evidence for invasive mitigation of dental caries by Neanderthals.” PLOS One.

Neanderthals performed dental interventions at least 59,000 years ago, pushing the timeline of dentistry back by tens of thousands of years, according to a study about a molar from Chagyrskaya Cave in southwestern Siberia.

Early humans used rudimentary dental tools, like toothpicks, for well over a million years. But scientists have now identified evidence that Neanderthals used drills to treat cavities at the Siberian site, performing an Ice Age version of a root canal. Previously, the oldest tooth that showed signs of a dental checkupt belonged to “Villabruna,” a prehistoric human male who lived in Italy 14,000 years ago.

The remnants of the Neanderthal tooth adds to a growing body of research that has overturned the stereotype of Neanderthals as cognitively inferior to Homo sapiens and hints at “cognitive convergence” between the two species, according to the study.
Earliest evidence for invasive mitigation of dental caries by NeanderthalsThe Chagyrskaya Cave molar. Image: Zubova et al., 2026, PLOS One, CC-BY 4.0
The Chagyrskaya Cave tooth shows “evidence of two distinct types of manipulations requiring different tools, in addition to the drilling/rotating technique, necessitating complex finger movements,” said researchers led by Alisa Zubova from the Peter the Great Museum of Anthropology and Ethnography (Kunstkamera).

The study suggests that Neanderthals at this site “possessed the cognitive capacity to intuit the source of pain, comprehend the feasibility of its elimination, and deliberately select the most efficacious dental intervention,” the team added. “The technical proficiency required for this procedure…reflects a capacity for causal reasoning, anticipatory planning, and volitional endurance, contradicting earlier assumptions regarding Neanderthal behavioral limitations.”

It's not clear if this Neanderthal patient got a complimentary toothpick at the end of the visit, but at the very least, they received some temporary relief from a bad toothache.

In other news…

Now I have become Death, maker of crystals


Bindi, Luca et al. “Extreme nonequilibrium synthesis of a Ca–Cu–Si clathrate during the Trinity nuclear test.” Proceedings of the National Academy of Sciences.

Scientists have discovered a weird new type of crystal in the ashes of the Trinity test, the first detonation of a nuclear bomb, which took place in the early morning of July 16, 1945, in New Mexico.

Trinity’s “gadget” unleashed a powerful fireball that vaporized its test tower and transformed the desert sand into a glassy residue called trinitite. For decades, researchers have found novel and bizarre compounds in the fallout. A new study now reports the first known instance of a clathrate structure—a crystal lattice that can trap “guest” molecules inside its cagelike scaffolding—in red trinitite.
The sample of red trinitite that contained the clathrate. Image: Bindi, Luca et al.
“The discovery of this phase represents the first crystallographically confirmed identification of a clathrate structure among the solid-state products of a nuclear explosion,” said researchers led by Luca Bindi of the University of Florence.

“This work underscores how rare, high-energy events—such as nuclear detonations, lightning strikes, and hypervelocity impacts—serve as natural laboratories for producing unexpected crystalline matter,” the team added.

In addition to being one of the most pivotal split-seconds in history, the Trinity test spun sand into exotic materials that are still generating discoveries more than 80 years later.

A huge new Thai-nosaur


Sethapanichsakul, Thitiwoot and Khansubha, Sasa-On et al. “The first sauropod dinosaur from the Lower Cretaceous Khok Kruat Formation of Thailand enriches the diversity of somphospondylan titanosauriforms in southeast Asia.” Scientific Reports.

Meet the largest dinosaur ever found in Southeast Asia: Nagatitan chaiyaphumensis, a hulking sauropod that lived more than 100 million years ago in what is now Thailand.

Weighing in at an estimated 60,000 pounds and measuring nearly 90 feet from head to tail-tip, this massive herbivore belonged to the titanosaur family, the largest animals ever to walk on land.
Schematic representation of the skeleton of Nagatitan chaiyaphumensis with preserved bones highlighted in yellow. The bar is one meter. Image: Sethapanichsakul, Thitiwoot and Khansubha, Sasa-On et al.
“We estimate a body mass of 25–28 tonnes for Nagatitan, and suggest it was part of a broader middle Cretaceous body size increase in Asian titanosauriforms, facilitated by rising temperatures and expanded suitable habitat,” said researchers co-led by Thitiwoot Sethapanichsakul of University College London and Sasa-On Khansubha of Sirindhorn Museum in Thailand.

“The discovery of Nagatitan expands the known diversity of Southeast Asian sauropods and improves our understanding of titanosauriform biogeography within the region,” the team added.

While it’s mind-boggling to imagine a 90-foot-long, 25-tonne animal casually ambling around, Nagatitan is only mid-sized for a titanosaur. The biggest behemoths in this family may have exceeded 120 feet in length and boasted 130,000 pounds of fully plant-powered body mass.

With that said, the all-time heavyweight champion of the animal kingdom is our own contemporary, the blue whale, which tips the scales at an astonishing 400,000 pounds. Have you ever felt so puny in your life?

Life goes on, re-gar-dless


Wilson, Jacob D. et al. “The skull and pectoral girdle of a large gar that lived ∼2000 years after the Cretaceous/Paleogene mass extinction event.” Journal of Vertebrate Paleontology.

The last titanosaurs were wiped out by the asteroid that brought the age of dinosaurs to a sudden and brutal end 66 million years ago, killing off about two-thirds of all species on Earth. But though the space rock eradicated the land giants, some animals managed to pull through, including a large fish that lived within 2,000 years of the impact.

Scientists led by Jacob Wilson of the Denver Museum of Nature & Science described the anatomy of a gar and weighed in on its possible taxonomy, building on the initial 2022 study that first reported the specimen. Measuring about five feet in length, this gar inhabited a post-apocalyptic world that is preserved within the Fort Union Formation of North Dakota.
Diagram of fossils, with scale model. Image: Brownstein, Chase Doran et al., 2022
The specimen “is notable both for its size (more than 1 meter) and its precise stratigraphic placement 18 centimeters above the Cretaceous/Paleogene (K/Pg) boundary clay,” the team said. “Our conclusions support the inference that gars were prominent members of freshwater ecosystems and, in turn, freshwater ecosystems were capable of supporting large-bodied predators within ∼2000 years after the K/Pg extinction.”

This gar hatched into an eerily empty ecosphere, mere centuries after a planetary nightmare, yet it still grew into a fisherman’s dream catch. It’s a testament to the resilience of life on Earth, which could not be fully stomped out even by a direct cosmic punch to the face.

Thanks for reading! See you next week.


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The former Crown Prince of Iran is meeting with Iranian diaspora tech and business leaders on Saturday to discuss the future of the country. Attendees include the CEO of Uber.#News


Tech Companies to Discuss Iran's Future During 'Private Conference' at Uber HQ


A who’s who of the Iranian diaspora will meet at Uber HQ on Saturday to discuss tech and the future of Iran, according to an email about the event viewed by 404 Media. The guest list includes venture capitalists, angel investors, tech CEOs, and the son of Iran’s former leader who was deposed almost 50 years ago.

On Friday afternoon, people representing the group of Iranian business leaders cold-emailed invitations for the event to journalists. “This Saturday, a private conference on the future of Iran will take place at Uber Headquarters in San Francisco, bringing together leaders in technology, finance, and geopolitics for an off-the-record discussion on Iran’s future and regional developments,” the email said. “Featured speakers include Reza Pahlavi, Dara Khosrowshahni, Shervin Pishevar, and Hamid Moghadam. The event waitlist has already surpassed 2,000 applicants.”
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Khosrowshahi is the CEO of Uber; Moghadam is the CEO of San Francisco based investment trust Prologis; Pishevar is the former CEO of HyperLoop and an angel investor who put money into Uber, Airbnb, Slack, and Robinhood; and Pahlvani is the former Crown Prince of Iran, the son of the Shah deposed during Islamic Revolution in 1979. Also in attendance will be a SpaceX engineer, a Tesla engineer, and the senior global commodity manager at Nvidia, according to the invite.

It’s unclear what, exactly, these elite members of the Iranian diaspora will discuss on Saturday morning. The schedule calls for a 9:30 reception followed by 30 minutes for “strategic rebuild,” 30 minutes for “future tech,” and 30 minutes for “internet” followed by “open dialogue.”

The meeting is called the “Tech X Future of Iran” and the flyer with the guests and schedule included a pre-Islamic Republic version of the Iranian flag. Pahlavi is a complicated and controversial figure who has lived most of his life outside of Iran. He has said, repeatedly, that if he returned to lead he would only do so as a bridge to democratic rule.

“Millions of Iranians inside Iran and outside of Iran are calling my name,” he told 60 Minutes earlier this year. “They recognize in me the person uniquely placed to play a role of transitional leadership. Not running for office, because that's not what I'm doing, but to be a bridge to that destiny.”

But for Pahlavi to enter Iran or any of these tech moguls to see their ambitions fulfilled, a lot has to happen. Iran would have to lose the war and the Islamic Republic and its military would need to fall. Neither seem like a possibility at the moment.

The war isn’t over and it’s unclear when it will be. Iran is in control of the Strait of Hormuz and has been hitting US allies and military bases in the region. Reports from U.S. intelligence agencies indicate that Tehran still has 70 percent of its missile launchers and pre-war missile inventory meaning it can fight the US for months. It also still has all its nuclear material and recovering it without a peace deal would be a deadly and costly operation.

A representative for “Tech X Future of Iran” did not return 404 Media’s request for comment.


#News

The change comes as arXiv and others struggle to manage an influx of AI-generated materials masquerading as rigorous science.#AI #arxiv


ArXiv to Ban Researchers for a Year if They Submit AI Slop


ArXiv, the open-access repository of preprint academic research, will ban authors of papers for a year if they submit obviously AI-generated work.

Late Thursday evening, Thomas Dietterich, chair of the computer science section of ArXiv, wrote on X: “If generative AI tools generate inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content, and that output is included in scientific works, it is the responsibility of the author(s). We have recently clarified our penalties for this. If a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can't trust anything in the paper.”

Examples of incontrovertible evidence, he wrote, include “hallucinated references, meta-comments from the LLM (‘here is a 200 word summary; would you like me to make any changes?’; ‘the data in this table is illustrative, fill it in with the real numbers from your experiments’.”

“The penalty is a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted at a reputable peer-reviewed venue,” Dietterich wrote.

Dietterich told me in an email on Friday morning that this is a one-strike rule—meaning authors caught just once including AI slop in submissions will be banned—but that decisions will be open to appeal. “I want to emphasize that we only apply this to cases of incontrovertible evidence,” he said. “I should also add that our internal process requires first a moderator to document the problem and then for the Section Chair to confirm before imposing the penalty.”

In November 2025, arXiv announced it would no longer accept computer science review articles and position papers because it was being “flooded” with AI slop. “Generative AI/large language models have added to this flood by making papers—especially papers not introducing new research results—fast and easy to write. While categories across arXiv have all seen a major increase in submissions, it’s particularly pronounced in arXiv’s CS category,” arXiv wrote in a press release about the change at the time.

And in January, it announced first-time submitters would need an endorsement from an established author due to a rise in fraudulent submissions.

AI-generated, fabricated citations are a huge problem in research. A recent study by Columbia University researchers examined 2.5 million biomedical papers across three years, and found that one in 277 papers published in the first seven weeks of 2026 contained fabricated references; In 2023, it was one in 2,828, and in 2025, one in 458. AI-generated citations and papers are already straining the peer-review process, and more and more papers are making it through the pipeline with those meta-comments and hallucinated data intact.

ArXiv is managed by Cornell Tech, but this July, it will become an independent nonprofit corporation. Greg Morrisett, dean and vice provost of Cornell Tech, told Science.org that this change will help arXiv raise more money from a wider range of donors, which Morrisett said is needed to deal with the emergence of “AI slop.”


#ai #arxiv

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This week, we discuss developers' AI woes, how the magic happens, and the Beach Boys.#BehindTheBlog


Behind the Blog: New Music and a Crash Out


This is Behind the Blog, where we share our behind-the-scenes thoughts about how a few of our top stories of the week came together. This week, we discuss developers' AI woes, how the magic happens, and the Beach Boys.

JOSEPH: Earlier in the week we published ICE Agents Have List of 20 Million People on Their iPhones Thanks to Palantir. This took a little while because I spoke to four people who attended the conference. I spoke to one, I asked if they knew anyone else there. Got another name and phone number, and so on.

I included this line in the copy: “The officials’ comments may need to be taken with a pinch of salt, but still reflect ICE’s position that Palantir is allowing the agency to identify people to arrest and locations to raid faster.”

I think that was important to include because these are comments and figures coming from senior ICE officials, and one in particular, Matthew Elliston, assistant director of Law Enforcement Systems & Analysis at ICE. As we all know, DHS lies.

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Mayo Clinic's "Ambient Listening" has been around for a couple of years, but clearly not all patients know their interactions with nurses are being passively recorded and processed by AI.#Privacy #News


Mayo Clinic is Using AI to Listen to Emergency Room Visits


Mayo Clinic, the massive U.S. hospital network, is using what it describes as “Ambient Listening” to record patient interactions with nurses, including in emergency rooms, then using AI to process that collected data. The recording is opt-out, rather than opt-in, and at least some patients are likely not aware the recording is happening.

The recording brings up questions of informed consent and whether the generated notes may be accurate enough. A study last month found that AI-powered scribe tools sometimes produce much less accurate notes than humans depending on the situation.

💡
Do you know anything else about AI use in healthcare? I would love to hear from you. Using a non-work device, you can message me securely on Signal at joseph.404 or send me an email at joseph@404media.co.

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The dismantling of the United States Agency for International Development (USAID) is associated with measurable increases in Africa, especially in areas most dependent on the agency’s support.#TheAbstract


DOGE Cuts Unleashed a Deadly Wave of Violence Across Africa, Study Finds


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The sudden shuttering of the United States Agency for International Development (USAID) by DOGE in 2025 is associated with a rise in violent conflicts across Africa, according to a study published on Thursday in Science.

Days into Donald Trump’s second term, his administration began rapidly dismantling USAID, which had, up until that point, been the world’s largest national humanitarian donor. Elon Musk, who spearheaded the Department of Government Efficiency, announced that his team had fed the agency “into the woodchipper” in February 2025. Tracking models suggest the collapse of USAID may have already caused 762,000 preventable deaths, of which 500,000 are children, and the cuts could lead to more than nine million preventable deaths by 2030, according to a study published in February 2026.

Now, a team reports “the earliest evidence of the impact of cuts to USAID on the incidence of violent events” which suggests that “the radical cuts…led to an increase in conflict in the regions that received the most aid from the United States,” according to the new study.

“What we find is that with the USAID shutdown, there was a rapid increase in the likelihood of violence, the severity of violence, and the lethality of violence across nearly one thousand subnational administrative units across Africa,” said Austin L. Wright, study co-author and associate professor and director of strategic initiatives at the Harris School of Public Policy at the University of Chicago, in a call with 404 Media.

In regions that received the most support from USAID, the cuts were associated with a 6.5 percent probability of any conflict event, compared to regions that received no aid. To get a sense of the devastating impact of that statistic, here’s what the study reports:

“The probability of protests and riots was 10% greater, the number of conflict events increased by 10.6%, battle counts increased by 6.9%, and battle-related fatalities increased by 9.3%. Event-study analysis confirmed no preexisting differences in conflict trends between high- and low-exposure regions before the shutdown. Effects are of similar size, with a 12.3% relative increase in the number of conflict events.“

Between 2021 and 2024, USAID is estimated to have saved 91 million lives, about a third of which are children under 5 years old. The agency was created by John F. Kennedy in 1961 and, in the years preceding Trump’s shutdown of the agency, accounted for less than 1 percent of total U.S. federal spending.

The impact of aid on communities is complex and context-dependent. Aid may reduce conflicts in cases where the opportunity costs of violence are mitigated by an influx of resources, known as the “opportunity cost effect.” But aid can also fuel conflicts over the handling and distribution of those resources, known as the “rapacity effect.”

The collapse of USAID, which is unprecedented in its scale and speed, has produced the worst of both worlds, according to the new study.
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“When those funds rapidly go away, it's a shock to the opportunity cost, and now it becomes more and more attractive to participate in what we might call the unproductive part of the economy, which is participating in violence, engaging in crime, and other activities,” Wright said. “But because the shutdown was so rapid, it didn't really have an opportunity to bind on the rapacity effect, because it's not as if the bridges, roads, or full-on infrastructure went away. The things that individuals or groups might fight over were still present.”

“It’s a bit of a ticking time bomb, because you're both removing the conflict-reducing side of aid, while leaving behind the conflict-enhancing part of aid,” he added.

To quantify the impact of the cuts on violence, Wright and his colleagues examined the Geocoded Official Development Assistance Dataset (GODAD), which monitors geolocated information regarding foreign aid disbursements, alongside the Armed Conflict Location and Event Data (ACLED), which tracks violent events.

The overlapping datasets revealed macro-level patterns between aid distribution and violence in the wake of the cuts, including significant upticks of violence in areas that had previously received large amounts of aid, or where the population had less control over their government due to weaker executive constraints.

Moreover, this increase in conflict has persisted over the course of months and may continue in areas that fall into “conflict traps” defined by self-perpetuating cycles of violence.

These impacts are catastrophic for people who had relied on USAID, as evidenced by the estimated death tolls, and the increased risk of violent conflicts and upheavals. They also present new vulnerabilities for the United States and its allies. Though USAID had an altruistic mission, the agency also served as a vector of soft power and an early-warning system for tracking public health risks, like pandemics. The loss of the agency has already caused national security issues for the U.S., such as the seizure of discarded USAID supplies by Iran-backed Houthi groups in Yemen.

“Those insecurities don't stay where they're created; they travel,” Wright said. “That unfortunately means that the vulnerabilities that are being created at the moment will likely have long-run consequences of creating insecurity that directly impacts the safety of Americans.”

Moreover, Trump’s demolition of USAID prompted many allies in Europe to pull back on their own foreign aid, exacerbating the effects. Though other humanitarian organizations are struggling to mitigate the consequences, the loss of trust caused by the shutdown of USAID is likely permanent, with ominous long-term consequences.

“Even if you reactivated USAID and pretended as if it never went away, you can't reverse these effects because you've already communicated your bad faith behavior,” Wright said. “There is nothing quite like the reputational bomb of simply shutting down an agency, and what that does to the reputation that the U.S. might have if it ever wanted to reinitiate its interventions.”

“From the soft power lens, and a global lens, the reputational effects, I think, are tremendous and will create a bunch of wedges and inefficiencies,” he concluded. “If one simply wanted to restart USAID, it's going to cost much more to rebuild than simply the same budget all over again.”

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"I hoarded a large database of something valuable, just not what you expect… 150k stools images."#AI


AI Poop Analysis App Offered to Sell Me Access to Its Users' Poops


A few weeks ago, I came across a wild post on Reddit’s r/DHExchange, a subreddit for trading large datasets: “I hoarded a large database of something valuable, just not what’s [sic] you expect…150k stools images.”

The post, made by a user called Ill_Car_7351, was advertising exactly what it sounds like: A database of poop images, collected from an AI poop analyzing app that he had launched several years ago. Basically, 25,000 people had been taking images of their poop and uploading them to his app. He’d been collecting, analyzing, and annotating these images and now wanted to sell access to them: “I’ve got 150k+ labeled and classified images of 💩 from roughly 25K different people. Jokes aside, I know there’s a lot of value in it (hard to obtain, useful for ML [machine learning] training, cancer studies etc) but not sure on how to move about it. Feels like I’m sitting on a pile of shi..ny coins but can’t find who wants them.” The poster added that “the images are extremely rare,” and that he was trying to figure out how much money he could sell them for.

The comments were from people who were mostly horrified: “When I was 5 the teacher taught me how to read. I now regret that happened,” one read. “What in the fuck,” another read. “How to delete someone else’s post,” a third said.

I messaged the poster and told him I was interested in obtaining the database. Thus began my journey into the Internet of Shit and, by extension, the unpleasant world of the underground sale of highly sensitive, app-collected user data for AI training.

The poop database comes from an app called PoopCheck, an app made by a company called Soft All Things that purports to use AI to analyze images of one’s stool in order to give you a “daily gut health score.”

“Our AI analyzes your poop using the Bristol Stool Scale and advanced pattern recognition. Get insights on consistency, color, shape, and what they mean for your digestive health,” the app advertises. The Bristol Stool Scale classifies stools into one of seven types ranging from “separate hard lumps, like little pebbles” to “watery with no solid pieces.”

The app also features a “community,” of 151,317 “shared stools” at the time of this writing and a “leaderboard,” where people can share images of their poop for commentary from other users and earn points for participating. I found the posts in the community a bit hard to stomach, with titles “like play dough,” “Concerned,” and “Dealing with this on and off for the past 3 weeks.” Pictures are not automatically shared to the community; when you take a photo it asks if you want to share it.

“Popular” posts on the app include people speculating as to whether their fellow community members have parasites or colon cancer; in the comments section of a few posts I saw people recommending ivermectin to the original poster.

Though users have the option to share their poops with other users, the app provides mixed messages about the fact that the data uploaded to the app will be analyzed, annotated, and packaged with other poops into a commercial database to be sold to AI companies.

On the App Store page for PoopCheck, it says “The developer does not collect any data from this app.” The link to the privacy policy from within the App Store download page does not mention anything about selling or sharing the data and says “your health data is encrypted in transit and at rest. Photos are processed securely. We implement industry-standard security measures to protect your data.”

The PoopCheck website’s About page states “Privacy First.” And “Health data is sensitive. That’s why privacy isn’t a feature, it’s our foundation. Your photos are encrypted. You can delete everything at any time. We built PoopCheck the way we’d want our own health apps built.” The FAQ also notes “your privacy is our priority.”

This is completely different from the “Service Agreement” and “Terms and Conditions” people agree to when they actually open the app and make an account. The Service Agreement states that “by uploading stool images or any health-related data to the App, you grant Soft All Things LLC a worldwide, irrevocable, perpetual, unconditional, royalty-free, fully-paid, transferable, sub licensable license to use, reproduce, modify, adapt, distribute, sell, license, and create derivative works from such content for any lawful purpose, including but not limited to research, commercial exploitation, product development, and third party licensing. You acknowledge that your images and data may be used to create, train, improve, and commercialize AI technologies and machine learning models, and that such models and any outputs derived from your data may be licensed or sold to third parties, including medical organizations, research institutions, and commercial partners.”

It adds that “your data may be irreversibly incorporated into AI models and aggregated datasets. Deletion of your account will remove your personal profile data but does not require the removal of anonymized, aggregated, or derivative data already processed or incorporated into AI models.” Under a section called “Sharing of Information,” it adds that the company reserves the right to share or sell the data “for any business purpose,” including “AI and Data Licensing.”

On Reddit, I messaged Ill_Car_7351 and said “Hi - am interested in this database you posted about. Can you share any more info about what you're looking for / details about the app where it was collected? also any chance there's like, a sample of what the data looks like etc?” They responded quickly and said “Hey! The db was gathered by real users, we had 25k users over the last couple years, since we launched the app. It’s called PoopCheck btw if you wanna see it. Let’s maybe talk via email? I’ll be happy to share a sample of the data if that interests you.”

I sent an email to someone named “Marco” at Soft All Things, who identified himself as one of the founders of PoopCheck. I said I had reached out on Reddit and was interested in a sample of the data. I used my real email address and real name.

“We can surely send you a sampling of the dataset, would a Google Drive link containing an image folder and JSON data work? We can also figure out other ways if you prefer,” Marco said. “In terms of the actual dataset you need, what would be the size of it for your needs? And what would you be using it for? Just so we can make sure it’s actually a good fit for your use case.”

I told Marco that I wanted 10,000 pieces of data and said I would use it for AI training. I asked him for pricing and what type of data was included.

Marco responded:

“You'll find a folder with images and JSON metadata covering the key fields we capture per entry. Let us know if you have any questions about it.

To give you a better idea of the dataset and pricing options: we currently have over 150,000 images validated by AI. Around 5,000 of these have also been manually reviewed by a member of our team, who verified the AI output and labeling, making this portion more valuable and priced accordingly. It's also worth noting that certain types on the Bristol Stool Scale are rarer than others, so availability may vary depending on your specific needs.

With that in mind, here there is an estimation of pricing options:

• 10,000 unreviewed images (AI-validated) — $3,000

• 5,000 fully human-reviewed & annotated (on top of AI validation) — $4,000

• 5,000 reviewed + 5,000 unreviewed — $5,000

It would be great to have a quick call to take this further as there are a few things about the dataset's structure and coverage that are easier to walk through live.”

The sample dataset Marco sent me included 20 images of poop from four specific users (five poops each). Each image was tied to a series of user-reported data points as well as AI analyses of each image. AI-analyzed datapoints included the time the poop was taken, the Bristol Type of each poop, whether it was “healthy” or “unhealthy,” the “shape” and “consistency,” whether there was blood or mucus in the poop, and the quantity (“large,” “normal,” or “small”), and whether it was “floating” or not. Each of these data points also had a “confidence” score for how confident the AI was in its analysis. Each image also had user-reported information, which included the answers to a series of questions including “when did you have your last meal,” “any discomfort while pooping? (“Hard to pass;” “burning”; “sharp pain” etc); “How long did it take?” “Did it smell stronger than usual?” “Coffee or alcohol in the last 12 hours?” The data also included demographic information, which includes age ranges, sex, height, weight, and sensitivities such as “lactose intolerance” or “irritable bowel syndrome.” Each image is tied to a specific user through a field called “externalIndividualID.”

Soft All Things is not exactly quiet about the database that it has created. On the Poop Check website, it has a page called “For Business,” which advertises its database. It sells access to both the “Stool Analysis API,” which “turns a stool photo into a structured health report,” as well as the “Annotated Dataset,” of 140,000+ images to “train your own models.” It advertises this as the “largest consumer stool image dataset we know of.”

It maybe should not be terribly surprising that a free app in which you upload images of your poop to a random company would have a business model focused on packaging and selling that data. But this type of data collection—of our literal poop—highlights how almost anything we do on our phones can ultimately end up for sale. The fact that it is advertising this for sale at all indicates that there is an AI goldrush for any and all types of data, even our literal waste.

Research has shown, over and over again, that de-identified “anonymous” data doesn’t necessarily remain anonymous when combined with other datasets. Toward the end of last year, the appliance giant Kohler endured a security shitshow when a researcher showed that its stool-analyzing smart toilet camera was not actually properly encrypting the images that it sent to Kohler. The concern there was that your poop data would be somehow accessed by bad actors. In the case of PoopCheck, anyone can simply buy access.

After I told Marco I was writing an article about PoopCheck and its database, he stopped responding to me and did not answer any of my questions.


#ai

Jeff Bezos learns being good at YouTube is not so easy.#WashingtonPost


At Least We Know the Washington Post Isn't Buying Views


An eon ago, in the year 2012, an editor at my first job at U.S. News and World Report had the idea that we should have a YouTube channel. It wasn’t a pivot to video, exactly, but it would be a bet on an emerging platform where some creators were beginning to go viral with news content. The idea was to put the journalists in front of the camera and have them talk about their articles and the news of the day. It did not go well.

I was nervous, unconfident, had a bad haircut, and, like everyone in Washington, D.C. then and now, was very unfashionable. I had no media training, had never been on TV or video of any sort. I did not have a smartphone. I was socially awkward and spoke in monotone. I blinked endlessly while I talked and fidgeted like crazy with my hands. I constantly said um, tripped over my words, and generally had no idea what I was doing. We made a series of videos with titles like “Head Injury Studies Continue to Cause Alarm in NFL,” “Are the Politics of Climate Change Shifting?,” and “Which Party Will Get the ‘Internet Vote’?” The videos were poorly edited, sounded weird, and got zero traction.
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I did not want to make these videos but it was a newsroom-wide initiative and so I did it anyway. Thankfully and mercifully, almost no one watched any of these videos, because they were bad. Then and now, they are the opposite of what anyone watches on the internet. And yet, these videos were roughly about as good as a series of podcast videos being released by the Washington Post’s new and drastically worsened Opinion section, apparently at great expense to the outlet. They were also about as popular, with many of my videos garnering upwards of several dozen views.
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On Sunday, the very good media newsletter Status reported that the Washington Post recently invested $80,000 on new audio and video gear for its new Make It Make Sense podcast, which features the Washington Post Editorial Board. It has also remodeled a studio in its office, which seems apparent in a very bad trailer for the show titled “A News Show You Can Trust, Finally,” but not in any of its previously recorded videos (some of which were released this week). All of this has happened at the behest of opinion editor Adam O’Neal and Washington Post owner Jeff Bezos as part of the section’s shift rightward to focus on billionaire- and free market-friendly content.

The podcast is not going well. Watching a few minutes of several of the videos immediately gave me flashbacks to the videos I was in at U.S. News, and served as a stark reminder that the executives running these media companies have zero clue what they’re doing. The videos posted by the Washington Post so far feel extremely dated, as though they were made either with zero resources in 2012 or by someone who has never watched a YouTube video or listened to a podcast in their lives. Everyone is wearing the same business casual and looks like they have been suddenly airdropped from a Pret a Manger on K Street into a nondescript glass cube. The podcasts follow zero of the best practices of YouTube or podcasting; the only indication that anyone involved has been on YouTube ever in their life are the podcast’s thumbnails, which are bad and weird in a different way entirely but at least attempt YouTube’s signature clickbait style, albeit with a weird yellow wash and a serif font. Some of the videos start mid-sentence with no introduction or grabby hook whatsoever. One video begins: “The president of the United States is going to head to the Supreme Court to listen to some of the experts, uh, I think this might be the first time a sitting president is going to hear arguments at the Supreme Court…” the host trails off. Another host says “I think so. I think,” and stops speaking. “This is, uhh, we’ll confirm that. We’ll fact check that.” This is the first 19 seconds of the video.

Recent episodes of the podcast feature tired and milquetoast, recycled right-wing takes one could pull out of a hat, such as “What the Media Got Wrong During Covid,” “Weed Isn’t As Harmless As You Think,” and what-to-do-with-racist-statues. Other takes include college is too easy, billionaires actually do pay enough taxes, people who hate AI are unhinged, and—in a moment of actually trying to capture the zeitgeist—Hasan Piker is bad. None of the videos are popular. Some of them have fewer than 30 views, while others have ticked up into the triple digits primarily based on hate watches from people clowning on the podcast in recent days. The new studio has not helped, though it does at least look better. A video posted yesterday has 160 views at the time of this writing.

On audio-only platforms, the podcast is faring no better. Googling “Make It Make Sense podcast” brings up many other podcasts called Make It Make Sense, but not Jeff Bezos’s new flagship show. I was able to find the podcast in the Apple Podcast app, where it has four ratings and 2.3 stars out of 5, and the most glowing review is “This is bad and the people making it should feel bad.” On Spotify, it has a 2.8 out of 5 rating.

I do feel for the people who are in these videos. It is not easy to be on camera and it is not easy to make engaging YouTube content (growing our own YouTube channel has been a slog, and has been far more difficult than growing an audience on any other platform). Over time, with lots of practice and following many mean YouTube comments, I now feel slightly more comfortable being on camera than I did in the U.S. News days. And yet media executives keep trying to make people who are not good at presenting video do it anyway.

The best thing that can be said about this project is that at least we know Jeff Bezos is not buying views on YouTube, which is a common practice for vanity venture capitalist podcasts that no one wants to watch or listen to. So, why write about this at all?

Well, the show is the type of thing that we have seen time and time again from big media companies, and specifically, their airheaded executives who think that they have any idea how to make content that resonates with anyone at all. As Status pointed out, the Washington Post had a large and highly competent video team that made very good and successful video content. It laid the vast majority of them off, and this is what we’re left with. The Washington Post was known for having one of the most innovative, quirky, and successful TikTok channels, built in part by the journalist Dave Jorgenson.

Jorgenson left the Post in July of last year to start his own channel and company. “Dear Jeff Bezos, if you’re reading this, you already know. I’m leaving the Washington Post and starting my own company,” Jorgenson said in a video announcing the channel. “My boss, and my boss’s boss are coming with me, so viewers can continue to expect the same high quality, fact-checked videos.” Jorgenson now has 328,000 subscribers on YouTube and 317,000 TikTok followers. The Washington Post’s TikTok now largely posts repurposed stock footage from news wires. We have seen similar at VICE (which just “relaunched” VICE News as Adobe sponcon), Deadspin, etc.

Talented journalists—especially video journalists and podcasters—lose their jobs but the channels and feeds they created and built are zombified and repurposed for an executive’s passion project, staffed by people who have no idea what they’re doing. These projects inevitably also cost lots of money but with the added bonus that no one watches them. The project inevitably fails and is ignored into the oblivion. It’s fine to just ignore these stupid projects but maybe also we should mention sometimes that this is all part of the systematic hollowing out of news institutions that once did very good work that people cared about.

Turns out anyone can make a podcast. That doesn’t mean anyone is going to listen.


Spools of cable are critical for internet infrastructure and jam-proof drones but skyrocketing costs are making it hard to field them.#News


War and Data Centers Are Driving Up the Cost of Fiber Optic Cable


Fiber-optic cable has become a staple of drone war. From Ukraine to the Sahel, combatants are fielding quadcopters piloted via kilometer-long lengths of cable that allows operators to control them across vast distances while insulating the drone from being knocked from the sky. This technique was once a cheap way for militaries to beat their opponents' electronic warfare, but demand for cable from data centers and war is raising the cost of every flight.

War is a cat and mouse game. One side deploys a devastating tactic and the other side figures out a way to defeat it. When small and cheap quadcopter drones began to dominate the skies, first by Islamic State and then in Russia’s war on Ukraine, fighters quickly learned it was easier to knock them out of the sky with electronic warfare than it was to shoot them down.
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Then, in 2023, Russia began to deploy FPV drones controlled via lengths of fiber-optic cable. The cable sits spooled in a tube below the drone that unwinds as it flies. The fiber-optic cable provides a fast and clear connection between a drone and its operator and no signal is flying through the air which makes it immune to jamming.

Ukraine took heavy vehicle losses when Moscow began using fiber-optic drones but Kyiv quickly adopted the tactic and now wheat fields in the country are covered in discarded cable. Three years ago, this was a cheap and effective means of slipping past enemy defenses. In 2026 it’s not nearly as cost effective.

“Fiber-optics is still happening at the battlefield, although not as much as it used to be. It's extremely pricey now. We used to buy 50km spool for $300, now it's easily $2500. Just so you know,” Dimko Zhluktenko, a Ukrainian soldier, said in a post on X on May 10.

The price of fiber-optic cable has been steadily rising since about 2023 and has almost doubled in just the past few months. In January, Shanghai based fiber-optic company Sun Telecom declared there would be a “fiber famine” in 2026. Last year, a kilometer of its G.652D fiber cable cost $2.20. By December of 2025 the same length of cable cost $3. A month later, Sun Telecom had increased the price again to $4.1.

One of the big market shifts driving up the cost of fiber is an increased demand for data centers as companies rush to build out the compute infrastructure they believe they’ll need for AI. “Almost every phone call I get from my customers is trying to see, how do we get them more? I think next year the hyperscalers will be our biggest customers,” Wendell Weeks, the CEO of fiber-optic cable manufacturer Corning, told CNBC after his company signed a deal with Meta for $6 billion in cable.

In a January LinkedIn post, North Carolina telecom company Brightspeed warned of “fiber-supply shortages.” Two other American ISPs told trade publication Broadband Breakfast said they’d seen orders for fiber unexpectedly cancelled. “We have heard concerns in recent weeks of timeframes slipping, and concerns about the ability to obtain supplies at all, as circumstances change,” Mike Romano, the CEO of NTCA, a rural broadband tradegroup, told Broadband Breakfast.

Data center driven demand is only part of the story. Wars in Ukraine, Iran, and the Sahel region of Africa are hungry for fiber-optic cable and manufacturers can barely keep up. Combined, Russia and Ukraine consume 50-60 million kilometers of fiber-optic cable every year, according to Kyiv Post. Most of this comes from China because both countries lack the domestic manufacturing base to produce that much cable. The demand has caused the price of a kilometer of Chinese fiber-optic to go from $2.33 in 2025 to $5.83 in 2026.

The core component of fiber-optic cables is a long piece of flexible and manufactured glass or plastic called an optical fiber. The delicate strands are about the width of a human hair. Ukraine doesn’t manufacture optical fibers. Russia had one factory in the city of Saransk but Ukraine destroyed it with drones in the spring of 2025. Now both countries rely on China to keep drones in the air. Exports on fiber-optic cable to Russia spiked after Ukraine destroyed the factory, hitting a height of 717.5 million meters in November of 2025.

“Ukraine has recently expanded its use of Starlink communications for attack drones, which are impractical for Russia to jam. The cost of a Starlink antenna—which is expended in an attack—is now lower than the cost of the longest-range FPV fiber-optic spools,” Roy Gardiner, an OSINT analyst at Defense Tech for Ukrainetold 404 Media. “The drive toward the development and deploying at least partial autonomous control for drones to defeat electronic warfare jamming will accelerate as fiber optic FPVs become less available.”

During war humans become great innovators. The game of cat and mouse continues and fighters are developing strategies to combat fiber-optic drones. In September of 2025, Russian and Ukrainian military bloggers began to report a new technique for countering the wire driven drones: a 150-meter-long fence made of spinning barbed wire. The theory is that the fiber-optic cable, dragged along the ground, will get caught in the fence and severed.
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Despite rising costs and the dangers posed by barbed wire, the drones keep flying. In March, Iran used fiber-optic controlled drones to strike American targets in the gulf, including the destruction of a Black Hawk helicopter parked in Iraq. The known fiber-optic FPV drones top out at about 50 kilometers of cable, a distance that will clear the Strait of Hormuz at its narrowest point.


#News

We got Haotian AI, the Chinese-language deepfake software powering scams. We also talk about a man finding $1 million of Yu-Gi-Oh cards, and how the AI hard drive shortage is impacting internet archiving.#Podcast


Podcast: The Chinese Deepfake Software Powering Scams


We start this week with Joseph’s story about how we obtained Haotian AI, a sought-after piece of realtime video deepfake software that lets you turn into anyone else during Microsoft Teams, WhatsApp, or Zoom calls. After the break, Matthew tells us about some insane Yu-Gi-Oh trading card drama. In the subscribers-only section, Jason explains how the hard drive shortage is impacting those archiving the internet.
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Listen to the weekly podcast on Apple Podcasts,Spotify, or YouTube. Become a paid subscriber for access to this episode's bonus content and to power our journalism. If you become a paid subscriber, check your inbox for an email from our podcast host Transistor for a link to the subscribers-only version! You can also add that subscribers feed to your podcast app of choice and never miss an episode that way. The email should also contain the subscribers-only unlisted YouTube link for the extended video version too. It will also be in the show notes in your podcast player.
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Software Developers Say AI Is Rotting Their Brains#News #AI


Software Developers Say AI Is Rotting Their Brains


Tech company executives are confident that AI will completely transform the economy and point to the changes they see in-house to prove that this change is coming fast. At Meta, Google, Microsoft, and others, leadership says that AI generates a growing share of the overall code, which makes it cheaper and faster to produce. The implication is that if this AI is good enough that tech companies are using it internally to improve efficiency and reduce headcount, it’s only a matter of time until every other industry is similarly transformed.

Developers who are told to use AI whether they like it or not, however, tell a different story. On Reddit, Hacker News and other places where people in software development talk to each other, more and more people are becoming disillusioned with the promise of code generated by large language models. Developers talk not just about how the AI output is often flawed, but that using AI to get the job done is often a more time consuming, harder, and more frustrating experience because they have to go through the output and fix its mistakes. More concerning, developers who use AI at work report that they feel like they are de-skilling themselves and losing their ability to do their jobs as well as they used to.

“We're being told to use [AI] agents for broad changes across our codebase. There's no way to evaluate whether that much code is well-written or secure—especially when hundreds of other programmers in the company are doing the same,” a UX designer at a midsized tech company told me. 404 Media granted all the developers we talked to for this story anonymity because they signed non-disclosure agreements or because they fear retribution from their employers. “We're building a rat's nest of tech debt that will be impossible to untangle when these models become prohibitively expensive (any minute now...).”

The actual quality of output doesn't matter as much as our willingness to participate.


Tech company executives love to brag about how much of the code at their company is AI-generated. In April, Google said that three quarters of new code at the company was generated by AI. Last year, Microsoft CEO Satya Nadella said up to 30 percent of the company’s code was generated by AI. Microsoft’s CTO Kevin Scott said he expects 95 percent of all code at the company to be AI-generated by 2030. Meta’s Mark Zuckerberg said last year he expects AI to write most of the code improving AI within 12-18 months. Anthropic says 90 percent of the code written by most if its team is AI generated. Tech companies have also been bragging about their “tokenmaxxing,” or how much money they’re spending on AI tools instead of human employees.

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Are you a developer at Google, Microsoft, or another tech being pressured to use AI? I would love to hear from you. Using a non-work device, you can message me securely on Signal at ‪(609) 678-3204‬. Otherwise, send me an email at emanuel@404media.co.

Predictably, the huge spike in productivity that these companies claim their own AI products have enabled hasn’t resulted in more or better products, shorter work weeks, or better consumer experiences. Mostly, AI implementation in tech companies has been used to justify multiple massive rounds of layoffs. To name just a few examples where tech companies said they reduced headcount because of AI use, more recently, Meta said it would cut 10 percent of its workforce (around 8,000 people), Microsoft said it would offer voluntary retirement to 7 percent of its American workforce (around 125,000 people). Snapchat said it would lay off 16 percent of its full-time staffers (about 1,000 people).

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#ai #News

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The comments made by a senior ICE official at a trade show highlight how Palantir is increasing the speed at which ICE operates. Most people detained by ICE have no criminal conviction.#palantir #ICE #News


ICE Agents Have List of 20 Million People on Their iPhones Thanks to Palantir


Immigration and Customs Enforcement’s (ICE) use of Palantir systems now means agency officials effectively have a list of 20 million people readily accessible on their iPhones, increasing the speed at which ICE can find houses to raid and people to arrest, according to comments made by a senior ICE official last week during a border security conference.

While ICE and the Department of Homeland Security (DHS) generally won’t answer questions from journalists about how the agency is using Palantir’s technology, senior officials were much more talkative during the Border Security Expo which took place in Phoenix, Arizona, last week. 404 Media spoke to four people who attended the conference. Here companies looking to sell their technology to ICE or other agencies gathered for two days of speeches, Q&As, and product pitches.

💡
Do you work for Palantir or ICE? Did you used to? I would love to hear from you. Using a non-work device, you can message me securely on Signal at joseph.404 or send me an email at joseph@404media.co.

The officials’ comments may need to be taken with a pinch of salt, but still reflect ICE’s position that Palantir is allowing the agency to identify people to arrest and locations to raid faster. Although the Trump administration has attempted to step back from its mass deportation rhetoric and city wide raids, especially in the wake of killing multiple people, ICE continues to violently and wrongfully detain people. Data from April showed that 70.8 percent, or 42,722, of people held in ICE detention have no criminal conviction.

The four people who attended the Border Security Expo saw Matthew Elliston, assistant director of Law Enforcement Systems & Analysis at ICE, and other DHS officials speak.

At one point, Elliston made the comment about ICE agents having 20 million targets, or potential people to detain, on their iPhones. This list can lead ICE agents to an individual and a house; they can then see if another target might be next door. This target may be a lower priority, but ICE can now use that information to arrest more people.
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At another point, Elliston said that Palantir’s technology has increased ICE’s rate of successfully locating a target from around 27 percent to just under 80 percent.

Two of the attendees were Kenny Morris, a campaigns strategist within the American Friends Service Committee (AFSC) Action Center for Corporate Accountability, and Dov Baum, director of AFSC’s Action Center for Corporate Accountability. 404 Media is not naming the other two attendees to protect them from professional repercussions.

Investigative work that used to take hours now takes 10 to 15 minutes, Elliston said. Elliston added Palantir gives the agency access to between 30 and 40 datasets.

Palantir generally doesn’t generate its own datasets; instead, its tools are broadly used to bring usually disparate datasets together and let them be queried as one.

In January, 404 Media revealed Palantir was working on a tool for ICE called ELITE, or Enhanced Leads Identification & Targeting for Enforcement. This tool populates a map with potential deportation targets, brings up a dossier on each person including their personal information, and provides a “confidence score” on that person’s current address. Those addresses came from various sources including the Department of Health and Human Service (HHS) and Thomson Reuters’ CLEAR product, according to an ELITE user guide 404 Media obtained.

Palantir has worked with DHS, and specifically Homeland Security Investigations (HSI), for years. This work was previously focused on the Investigative Case Management (ICM) system, which HSI used. In the second Trump administration, Palantir became a “more mature partner to ICE,” the company said in a leaked Palantir wiki obtained by 404 Media.

Palantir’s closer work with ICE has triggered some protests around the country, including one in April outside Palantir’s offices in New York City.

Palantir did not respond to a request for comment for this article. The company previously wrote a blog post after 404 Media first revealed the existence of ELITE, writing, “The ELITE tool is used for prioritized enforcement to surface the likely addresses of specific individuals, such as those with final orders of removal or with high severity criminal charges.”

A DHS spokesperson told 404 Media in an email: “U.S. Immigration and Customs Enforcement is committed to achieving the nation’s mandate to clear the backlog of illegal aliens who pose a threat to the security of our communities. Like other law enforcement agencies, ICE employs various forms of technology while respecting civil liberties and privacy interests.”

Elliston also discussed Mobile Fortify, ICE and CBP’s facial recognition app. Elliston claimed the app has been used 200,000 times with a 0 percent mismatch rate. 404 Media reported in January that Mobile Fortify misidentified a woman, twice.

At one point, Elliston said that the agency has a lot of money and he’s open for business. If you want to show me something, send me a LinkedIn message, he said. After the session, one attendee said they watched as a huge line of people waited for their chance to speak to Elliston.


The logic behind Polymarket, Kalshi and sports betting apps can be traced back to the inner workings of the slot machine.#podcasts


How the World Became a Casino


How did we get to a point where it’s legal for anyone to bet on anything? Be it the results of a baseball game or a land war in Europe, if you have access to a credit card and a computer you can try to predict the outcome of anything that’s happening in the world and win a little bit of money if you’re right. If we know that gambling can lead to high rates gambling addiction and financial ruin, why does it seem like our culture has suddenly embraced it?

For years, anyone who has reported on our increasing addiction to technology has found their way to Natasha Natasha Dow Schüll’s book Addiction by Design: Machine Gambling in Las Vegas. The book is an ethnography of slot machines. It is based on many interviews with the people who make them and play them, a deep investigation of how they work, and how they fit into the larger context of casinos, Las Vegas, and gambling more broadly.

Since it was published more than a decade ago, the logic of slot machines has extended far beyond Las Vegas. Every notification on our phone, trading platforms like Robinhood, the crypto craze, and now prediction markets, can be understood through the lens of slot machine design and Schüll work. That’s why I was incredibly happy she agreed to come on the podcast this week to discuss our current gambling-obsessed culture.
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404 Media is a journalist-founded company and needs your support. To subscribe, go to 404media.co. As well as bonus content every single week, subscribers get access to additional episodes where we respond to their best comments. Subscribers also get early access to our interview series. Gain access to that content at 404media.co.

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AI writing is impossible to avoid, is making everything sound the same, and is driving us crazy.#AI #AIWriting #ChatGPT


Your AI Use Is Breaking My Brain


A few years ago, while I was covering the rise of AI slop on Facebook, I asked my friends and family if they were getting AI spam fed into their timelines and if they could send me examples. A handful of them responded, sending me obviously AI-generated science fiction scenescapes, shrimp Jesus, and forlorn, starving children begging for sympathy. But a few of my friends sent me images that they thought were AI but were not. Their mental guard was up to the point where they were looking at human-made art and photos and thought it safer to dismiss them as AI rather than be fooled by it.

To browse the internet today, to consume any sort of content at all, is to be bombarded with AI of all sorts. People think things that are fake are real, things that are real are fake. Much has been written about “AI psychosis,” the nonspecific, nonscientific diagnosis given to people who have lost themselves to AI. Less has been said about the cognitive load of what other people’s AI use is doing to the rest of us, and the insidious nature of having to navigate an internet and a world where lazy AI has infiltrated everything. Our brains are now performing untold numbers of calculations per day: Is this AI? Do I care if it’s AI? Why does this sound or look or read so weird? Does this person just write like this? Is this a person at all?

I see AI content where I’m conditioned to expect and ignore it: In Google’s “AI Overviews” that famously told us to eat glue pizza, in engagement-bait LinkedIn posts, and throughout our Facebook and Instagram feeds. But increasingly I have the feeling that it’s everywhere, coming from all directions, completely unavoidable. It’s not exactly that I have a revulsion to AI-assisted content or don’t want to get fooled by it. It’s that something is happening where my brain has become the AI police because everything feels incredibly uncanny. I will be going about my day reading, watching, or listening to something and, suddenly, I notice that something is wildly off. Quite simply, I feel like I’m going nuts.

An example: Last week, in a desperate attempt to avoid yet another take on the White House Correspondents Dinner shooting, I was listening to an episode of Everyone’s Talkin’ Money, a podcast I’ve been listening to off-and-on for years about taxes (yikes). This podcast has been going on for years, has a human host named Shari Rash, and hundreds of episodes. Rash started reading the intro script: “The shift I want you to make today—and this is the shift that changes everything—is starting to see your tax return as information—not a bill, not a badge of shame, but information.” The script went on and on and on like this, with AI writing trope after AI writing trope. My brain shut down and stopped paying attention to the script and started wondering if Rash was using AI just for the intro script? What about for the research? Did she edit the script at all? I turned the podcast off.

Later that day, I was scrolling the Orioles Hangout forums, a small community of diehards obsessed with the Baltimore Orioles that I have been lurking on for decades. Until recently, it had been one of the few places on the internet that I could safely assume was not full of AI. Except now, it is. The site’s administrator has started using AI to analyze player performance and to help him write some of his posts. To his credit, he explains how he’s using AI and prefaces these posts by noting they are AI-assisted analysis. Some of them are interesting. But now, most days I’m browsing the forums, I will see arguments between posters who have been there for years that seem overly generic or don’t really make sense. One recent post arguing about the timetable for an injured player’s return suggested a ludicrously long recovery. One poster pointed this out: “You said 10-18 months and I said it won’t take that long for a position player.” The poster responded: “You’re right I did. The 10-18 months was an AI generated answer … consider it a small cautionary tale about trusting AI and another on the benefits of seeking out actual medical research on questions like this.” Every day I now scroll the forum and see people noting that they plugged something into ChatGPT or Gemini and have copy pasted the answers for other people to see. In this 30-year-old community of human beings discussing sports, AI is unavoidable.

It is, of course, not just me. Friends send me screenshots of texts they’ve gotten from people they’ve started dating, wondering if they’re using ChatGPT to flirt. I’ve gotten obviously AI-generated apologies or excuses from people trying to bail on a social engagement. I’ve been to weddings where the speeches felt—and were—partially AI-generated.

A recent PEW poll showed that people believe it is important to be able to tell whether an image, video, or piece of writing was AI-generated, AI-assisted, or written by a human. And it showed that a majority of people do not believe that they are able to tell the difference between AI-generated works and human made works. Studies have repeatedly shown that humans judge AI-generated art and writing more harshly than human works, and a study published in the Journal of Experimental Psychology found that when people know or perceive a piece of writing to be AI-generated, it is “stubbornly difficult to mitigate” and “remarkably persistent, holding across the time period of our study; across different evaluation metrics, contexts, and different types of written content.” Put simply, it is not just me who hates AI writing or finds it annoying. Even if AI writing can be “fine,” it very often feels bland, weird, formulaic. The writer Eve Fairbanks wrote a thread the other day that I thought more or less nailed it: “The tell for AI isn’t rhythm, wording, or fact errors. It’s that problems with *all these elements* exist equally & at once.”

“With AI writing, everything is off: the tone grates, individual word choices baffle, the structure lacks sense, key pieces of argument are missing…the key is that they all exist simultaneously to the same degree,” she added. “Superficially, AI text can read smoothly—“cleaner” than a human’s draft … but it’s almost impossible to make sensible. And it’s driving me crazy.”

Last week, New York City Mayor Zohran Mamdani tweeted about swastikas being painted on synagogues in Queens: “This is not just vandalism—it is a deliberate act of antisemitic hatred meant to instill fear,” he wrote. Max Spero, the CEO of Pangram Labs, an AI detection firm, highlighted this passage and tweeted “Mamdani nooo ,” the implication being that this passage was written by AI, or at least seemed like it was. Spero’s tweet had more than 4 million views at the time I talked to him. (Disclosure: Pangram Labs previously advertised on 404 Media).

Spero’s company uses AI to detect AI writing, meaning it is not perfect. But as far as these tools go, Pangram is considered quite good, and has been widely used in research about AI content on the internet. Spero told me when I called him that immersing himself in the internet has his brain in AI-detection mode pretty much all the time. “I’m totally on guard, and I have been for a while,” he said. Spero said he first began to notice it on restaurant reviews on Yelp and Google Reviews a few years ago. “I started seeing them everywhere. There’s people who are Yelp Elite and all they do is post one or two AI-generated reviews a day. Fast forward to today, and I think we’ve seen the mainstream growth of AI everywhere, but I think some people can tell, and some people have no intuition for it.”

I have always aspired to write like I talk. I don’t really concern myself so much with the craft of writing or turning a beautiful sentence, I usually try to just convey information in a straightforward, personable way. I want my articles to feel like slightly more polished, more researched versions of my text messages, like the things I would say on a podcast or at the bar to a friend. Often my writing process involves me thinking about sentences or ideas I want to convey while I’m walking my dog or in the shower or surfing, and I hope that when I actually sit down to write, the words flow from my brain through the keyboard in a way that pretty much makes sense.

When I sat down to write this article, in which, to be clear, I did not use AI, I found myself writing the following sentence: “It’s not just in places we’re conditioned to see AI—Google AI overviews, LinkedIn influencer posts, and Facebook feeds—I’ve started seeing AI…” I stopped typing, freaked out, and deleted the sentence. Have I always written this way? I honestly don’t know.

This negative parallelism—“it’s not just x, it’s y” is maybe the most infamous AI writing-ism there is. It is something that is regularly called out as being obviously AI, and is the formation in the sentence Mamdani wrote that Spero called out. But I didn’t use AI. Did I use that construction because I’ve been immersed on an internet full of generic AI writing on every platform all day everyday for years? Or did I just happen to think that was the best way to phrase it at the time?

The idea that humans may be subconsciously mimicking or learning from the AI writing that they’re reading is not some isolated thought I had. It’s kind of the business model of any number of AI-for-education startups, and it’s an idea that has been raised in lots of articles about AI in schools. Last month, the New York Times quoted a teacher who said “They are using generative A.I. to write before they learn how to write.” Teachers I spoke to last year lamented that they are spending their very real human hours and considerable brain power trying to determine whether they are grading essays that are written by humans or robots, and know that they are often giving writing notes on papers that were likely written by AI.

The thing is, human writers do sometimes write like AI, and this will probably become more common. “If you showed me the Mamdani tweet in a vacuum I’d be like, almost certainly it’s AI,” Spero said. “But with Mamdani I’m less sure because his history is almost everything else seems to be human written. With my own writing, I don’t want to sound like AI even a little bit. I have some concerns about, like, the students who have grown up with ChatGPT and their entire school career has been ChatGPT assisted so now they actually do write like this.”

Fairbanks had the same thought, and she told me that the person she originally wrote her thread about claims that he actually didn’t use AI to write it.

“It’s possible it was written by him!,” she told me in an email. “In which case it appears his writing was shaped by the AI voice. I feel self-conscious now that I’m picking up habits not directly from AI but from people who may have used AI, or that AI is somehow exposing, like a fluorescent light on our naked body in the doctor's office, the defects in my writing style insofar as they turn out to overlap with what everybody now believes is a totally shit style. I always used em dashes!”

“Somebody on my thread made the observation that somehow it’s more likely that we’ll all start to sound more like AI than that AI will sound more human to us,” she added. “That felt right to me, although I couldn’t technically say why. But I was listening to a New York Times podcast and noticed the presenter used the ‘it’s not x, it’s y’ formula. I really assume she didn’t generate the sentence with AI because she was speaking out loud, in conversation. But it now stood out as formula to me.”

I emailed Rash, the host of the podcast who originally made me think “this is an AI script,” and asked her if it was an AI script. She said “I use AI to help brainstorm, organize ideas, outline, and refine language. The line you referenced reflects a point I often make with clients and listeners … I review and edit all of my content and I am responsible for everything that goes out under my name.”

Earlier this year I read an article by the writer Marcus Olang called “I’m Kenyan. I don’t write like ChatGPT. ChatGPT writes like me.” Olang’s article highlighted a phenomenon he and other Kenyans have experienced, where they are constantly accused of using AI to write, and have lost out on opportunities because of it. Olang notes that the Kenyan education system tended to teach a formal, structured, rules-focused type of English that was largely a product of colonialism.

“The bedrock of my writing style was not programmed in Silicon Valley. It was forged in the high-pressure crucible of the Kenya Certificate of Primary Education…The English we were taught was not the fluid, evolving language of modern-day London or California, filled with slang and convenient abbreviations. It was the Queen's English, the language of the colonial administrator, the missionary, the headmaster,” he wrote. “It was the language of the Bible, of Shakespeare, of the law. It was a tool of power, and we were taught to wield it with precision. Mastering its formal cadences, its slightly archaic vocabulary, its rigid grammatical structures, was not just about passing an exam. It was a signal. It was proof that you were educated, that you were civilised, that you were ready to take your place in the order of things.”

As we’ve noted before, many AI tools have been trained, tested, and moderated on thousands of hours of labor from low-paid workers around the world, including many Kenyans. So not only did Olang learn a type of English writing that tends to be generated by AI tools, a lot of the moderation and testing of those tools was judged by people who went through that same education system. “If humanity is now defined by the presence of casual errors, American-centric colloquialisms, and a certain informal, conversational rhythm, then where does that leave the rest of us?,” Olang wrote.

Olang makes important points in his article, but one of the great things about writing and the internet in general is that there are all sorts of different dialects and styles and things that can work online. And so maybe what I have been noticing is a sameness, a homogenizing of large parts of the internet, including places I often felt were very human. This is objectively happening, researchers believe. A study published last month by researchers at Imperial College London, Stanford, and the Internet Archive called “The Impact of AI-Generated Text on the Internet,” found that roughly 35 percent of new websites are AI-generated. It confirmed the researchers’ hypotheses that “As AI content becomes more common on the internet, online writing feels increasingly sanitized and artificially cheerful,” and “as AI text becomes more common on the internet, the range of unique ideas and diverse viewpoints shrinks.”

Besides people copy pasting things from ChatGPT or other AI tools, AI writing “assistance” has been shoved directly into word processors like Google Docs, email clients like Gmail, and social media networks like LinkedIn. The process of “writing” is being automated and filtered through these tools. It is everywhere.

Last month, a Harvard MBA grad named Ben Horwitz launched Sinceerly, an “AI to undo your AI writing.” The Chrome extension has three modes: “Subtle,” “Human,” and “CEO,” which takes AI-generated text and gets rid of em dashes, adds typos, slang, acronyms, puts words all in lowercase, etc. Horwitz wrote on the website that he built Sinceerly because “I got sick of everyone in my inbox sounding like AI.” I used Sinceerly to email Horwitz and ask for an interview. When I called him and told him this, he said he didn’t notice, so, mission accomplished.

“To be clear, this is mainly a satirical project meant to hold a mirror up to people who use AI as an alternative to thinking, but it is legit in that I built this tool and it does work,” Horwitz said. “But I do feel like everything is starting to sound the same and I’m experiencing the same thing as you—the homogeneity I find incredibly frustrating and boring, and it makes me less apt to use social media because everything sounds the same.”

He said that since he’s launched Sinceerely, he’s gotten emails from actual users who have used it to de-AIify their writing and who are frustrated that they are sometimes not getting responses. “Many people have DMed me and been like ‘Hey, can you help me make this email sound more human?,” he said. “Think about how much work all of this actually is. In theory you’re written something as a prompt into the AI and so you have actually written something. And then you’re copy pasting it into an email and using this tool on it. I hope it gets people to think about what they’re actually doing.”

The irony is that in making his satirical project, Horwitz has actually replicated, albeit in a funnier way, an already existing type of AI tool called “humanizers,” which are designed to defeat AI detection software like Spero’s Pangram. Spero said he “thought Sincerely was a very funny project. It’s like a first impression, someone sees a typo and they give a sigh of relief that a real human is behind that, but we’ve actually been seeing this more and more. AI-generated marketing emails over the last year with intentional typos.”

Humanizers add typos, randomly replaces words, removes “AI tells,” and sometimes inserts random characters. Spero said Pangram has been collecting as much data as they can to try to detect “humanized” AI, but that “it’s pretty adversarial” and that there is likely to be an ongoing cat-and-mouse game between humanizer AI and AI detecting AI.

“It’s kind of looking grim for the future of the internet,” he said.

In my many, many hours of browsing AI slop on Facebook, I spent an absurd amount of time scrolling through the comments on AI-generated images. One exchange has stuck in my mind years later. It was an AI-generated image of a wood deck outside a house. In the comments, obviously real people were arguing back and forth as to whether the nonexistent deck would pass code inspection. I remember thinking something uncharitable and cancelable at the time, something that I think I wrote in a draft of one of my articles but that got edited out because it was mean. I remember thinking, basically, that Facebook had become a virtual nursing home for delusional and quite possibly stupid old people, a place where people argue back and forth about things that don’t exist, forever, until they die.

I ended up calling this the “Zombie Internet,” which is something I considered to be worse than the “Dead Internet,” the popular but too simplistic idea that large portions of the internet are bots interacting with each other. I called it the Zombie Internet because the truth is that large parts of the internet are not just bots talking to bots or bots talking to people. It’s people talking to bots, people talking to people, people creating “AI agents” and then instructing them to interact with people. It’s people using AI talking to people who are not using AI, and it’s people using AI talking to other people who are using AI. It’s influencer hustlebros who are teaching each other how to make AI influencers and have spun up automated YouTube channels and blogs and social media accounts that are spamming the internet for the sole purpose of making money. It is whatever the fuck “Moltbook” is and whatever the fuck X and LinkedIn have become. It’s AI summaries of real books being sold as the book itself and inspirational Reddit posts and comment threads in which people give heartfelt advice to some account that’s actually being run by a marketing firm. It’s fake Yelp reviews for real restaurants and real Yelp reviews for fake restaurants using AI-generated food images being run out of ghost kitchens. It’s armies of AI-assisted clippers who used to steal people’s content to make money on social media but now get paid to do so. It’s the boring history YouTube videos I use to fall asleep that used to be quirky and weird but are now AI channels. It’s my email inbox, in which I used to occasionally get poorly-formatted, poorly written, extremely long emails from delusional people who were positive the CIA had imprisoned them in a virtual torture chamber using undisclosed secret technology but where I now get well-formatted, passably written, extremely long emails from delusional people who are positive they have proven AI sentience and have the AI transcripts to prove it. It's the New York Times having to issue corrections multiple times in the last few weeks because its writers have included AI-generated hallucinations in the newspaper. It’s the pitches I get that start “Hi Jason, I’m Hatoshi. I’m an AI agent. I run Clanker Records — An AI-operated label with AI artists,” and the pitches I get that are probably written by AI agents or someone who has automated the process but hasn’t bothered to tell me.

What’s driving me crazy, then, is not the idea that AI exists or that people are using AI. It’s that I have a finite time on this earth that I mostly want to spend interacting with other human beings. I don’t want to be the person arguing with a robot, or wasting my time reading something that a real person couldn’t be bothered to write.


A commencement speaker at the University of Central Florida was booed, with graduating humanities students yelling out, "AI SUCKS!"#AI #ucf


Students Boo Commencement Speaker After She Calls AI the ‘Next Industrial Revolution’


Speaking to graduates of University of Central Florida’s College of Arts and Humanities and Nicholson School of Communication and Media on May 8, commencement speaker Gloria Caulfield, vice president of strategic alliances at Tavistock Group, told graduating humanities students that AI is the “next industrial revolution,” and was met with thousands of booing graduates.

“And let’s face it, change can be daunting. The rise of artificial intelligence is the next industrial revolution,” Caulfield said. At that point, murmurs rippled through the crowd. Caulfield paused, and the crowd erupted into boos. “Oh, what happened?” Caulfield said, turning around with her hands out. “Okay, I struck a chord. May I finish?” Someone in the crowd yelled, “AI SUCKS!”

Her speech begins around the hour and 15 minute mark in the UCF livestream. According to her bio on the Tavistock Group’s website, Caulfield “oversees the health and medical partnerships as well as business development for Tavistock’s visionary Lake Nona community.” Lake Nona is a planned community in Florida. Caulfield is “instrumental in managing corporate partnerships and identifying strategic intersections with stakeholders in the Lake Nona community,” her bio says.
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Before the industrial revolution comment, Caulfield praised Jeff Bezos for his passion and use of Amazon as a “stepping stone” to his real dream: spaceflight. Rattled after the crowd’s reaction, she continued her speech: “Only a few years ago, AI was not a factor in our lives.” The crowd cheered. “Okay. We've got a bipolar topic here I see,” Caulfield said. “And now AI capabilities are in the palm of our hands.” The crowd booed again. “I love it, passion, let's go,” she said.

“AI is beginning to challenge all major sectors to find their highest and best use,” she continued. “Okay, I don't want any giggles when I say this. We have been through this before, these industrial revolutions. In my graduation era, we were faced with the launch of the internet.”

She goes on to talk about how cellphones used to be the size of briefcases. “At that time we had no idea how any of these technologies would impact the world and our lives. [...] These were some of the same trepidations and concerns we are now facing. But ultimately it was a game changer for global economic development and the proliferation of new businesses that never existed like Apple and Google and Meta and so many others, and not to mention countless job opportunities. So being an optimist here, AI alongside human intelligence has the potential to help us solve some of humanity's greatest problems. Many of you in this graduating class will play a role in making this happen.”

Caulfield is saying this to humanities and communications graduates, who are entering a workforce that AI has been gutting with increasing intensity for years. Not even the people and companies she valorizes in her speech believe that these graduates are headed for an easy time in the workforce: In April, Palantir CEO Alex Karp said AI will “destroy” humanities jobs, and last week, a report found that AI is blamed for one in four lost jobs, amounting to 21,490 AI-related cuts last month, or 26 percent of the 88,387 total, “marking the second straight month the technology has been the top driver of layoffs,” CBS reported.

At the companies Caulfield referenced as existing because of advances in technology, CEOs blame AI for massive job cuts; Meta announced last month that it would cut 10 percent of its workforce later this month due to focusing more on AI, with more cuts to come. People who keep their jobs at these companies are often made miserable by the ways they’re forced to do AI busywork.

Within the humanities, the field these graduates have spent the last several years of their lives studying for careers in, AI is adding stress and dysfunction to library work and academia. A recent study by Microsoft ranked historians and interpreters and translators as the most likely professionals to have AI disrupt their work. Last year, Anthropic CEO Dario Amodei said he believed AI could wipe out half of all white collar entry-level jobs. This is not the crowd to tell they should embrace the “change” that AI brings.

UCF did not immediately respond to a request for comment.


#ai #UCF

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Scientists analyzed over 900 marriages within the ’Ndrangheta, one of the most infamous mafia syndicates, to understand how “matrimonial ties relate to power and cohesion within the organization.”#TheAbstract


Scientists Studied 906 Mafia Marriages and Found Something Surprising


Welcome back to the Abstract! Here are the studies this week that got ID’d, caught on camera, internally probed, and married off.

First, scientists have confirmed the identities of four sailors who died in a grisly Victorian voyage. Then: the sights and sounds of an Arctic seafloor, a glimpse into the guts of ice giants, and a wedding kiss of death.

As always, for more of my work, check out my bookFirst Contact: The Story of Our Obsession with Aliens or subscribe to my personal newsletter the BeX Files.

Putting a face, and names, to lost Arctic sailors


Stenton, Douglas R. et al. “DNA identifications of three 1845 Franklin expedition sailors from HMS Erebus.” Journal of Archaeological Science: Reports.

Stenton, Douglas R. et al “‘Some very hard ground to heave’: DNA identification of Harry Peglar, Captain of the Foretop, HMS Terror.” Polar Record.

Scientists have identified four men who died in Sir John Franklin’s disastrous expedition of 1845, a British mission to chart a passage through the Arctic that ended in misery, starvation, and cannibalism, leaving no survivors.

“Since the late nineteenth century the coast of Erebus Bay on King William Island, Nunavut, has been a focal point for historical and archaeological investigations of the 1845 Franklin Northwest Passage expedition,” said researchers led by Douglas Stenton of the University of Waterloo. “Its significance comes from the nature and volume of materials derived from an extraordinary and ultimately tragic event: the fatal attempt by 105 surviving sailors to escape their icebound ships in the spring of 1848 by walking hundreds of kilometres south to the mainland of North America.”
The four graves at Franklin Camp near the harbour on Beechey Island, Nunavut, CanadaGraves at Franklin Camp on Beechey Island, Nunavut, Canada that memorialize Franklin expedition crew members. Image: Gordon Leggett
Using DNA extracted from skeletal remains, a study has confirmed that the 180-year-old bones belong to the able seaman William Orren, the ship's boy David Young, the officers' steward John Bridgens, and captain of the foretop Harry Peglar. Orren, Young, and Bridgens served on HMS Erebus, the expedition’s flagship, and their remains ended up in Erebus Bay on Canada’s King William Island.

The remains of Peglar, who served on the secondary vessel HMS Terror, were found nearly 80 miles away from the others and are reported in a separate study led by Stenton. Stenton’s team has previously identified the Erebus engineer John Gregory as well as the Captain of Erebus, James Fitzjames, whose remains were subject to cannibalism.

The researchers matched the DNA of these sailors to samples provided by living descendants or relatives to conclusively confirm their identities. In addition to solving a scientific mystery, this process literally puts a face to one man as the team included a reconstructed portrait of David Young, who was around 20 when he died.
David YoungDavid Young, Boy 1st Class from the HMS Erebus, in a 2D Forensic Facial Reconstruction. Image: Diana Trepkov, Investigative Forensic Artist
The results also help to piece together key details of the nightmarish fates that befell these sailors as they endured starvation, exposure, disease, and despair.

“For their descendants, the identifications of John Bridgens, David Young, and William Orren reveal that, like John Gregory, they had survived the first three years of the expedition,” the researchers said. “They also unveil the locations where their deaths occurred, and the fact that none of the men were alone when they died.”

Peglar did die alone, however, and he remains the only member of the Terror crew who has been identified. In the study about his farflung remains, the team concludes with a passage Peglar wrote a few days before the survivors abandoned their stuck vessels and embarked on the retreat that would ultimately kill them all.

Peglar noted the need to procure new boots as “we have got some very hard ground to heave.”

In other news…

Scenes from an Arctic seafloor


Podolskiy, Evgeny A. et al. “Seafloor video-acoustic monitoring in a Greenlandic glacial fjord records hyperbenthos, backward-swimming fish, and narwhals.” PLOS One.

Though the Arctic has many deadly perils, this region is also home to some of the most amazing lifeforms found anywhere on the planet. Scientists have now captured rare footage and recordings of “a highly turbulent environment” on the seafloor of a glacial fjord in northwest Greenland, according to a study.

Here, at depths of about 850 feet, the songs of narwhals reverberate along the seafloor, crustaceans called copepods move in sudden hops, and “marine snow” made of particulate matter falls in blizzardlike bursts. A snailfish was also caught on tape making a particularly memorable exit.
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“One snailfish showed peculiar backward swimming, passively drifting backward with the current,” said researchers led by Evgeny A. Podolskiy of Hokkaido University. “It curled its tail and remained motionless for at least 16 seconds before disappearing from view.”

You’ve heard of the Irish Goodbye and the Minnesota Goodbye, but I’m not sure anything can top the Greenlandic Glacial Fjord Snailfish Goodbye.

The flavorful fillings of ice giants


Ramirez, Vanesa et al. “Reassessing planetary composition: Evidence of rock-dominated envelopes in Uranus and Neptune.” Astronomy & Astrophysics.

What’s inside Uranus? Or Neptune, for that matter? Nobody really knows, and we have to rely on models until someone can figure out how to get a direct look inside the guts of these ice giants.

To that end, researchers ran simulations of the possible evolution and composition of the two planets’ interiors based in part on observations of their atmospheres. The results suggest that “the deep interiors of the two planets exhibit distinct compositions” with Neptune having “relatively rock-rich mantles…whereas Uranus is inferred to have more ice-rich mantles,” according to researchers led by Vanesa Ramirez of Leiden University.

“Our results indicate fundamental differences in the internal architectures of Uranus and Neptune, challenging the traditional view of these planets as compositional twins,” the team added.

To put in confectionary terms, Neptune appears to be more of a rocky road, while Uranus may be a refreshing ice slushy. Either way, the study underscores how much there is left to learn about these solar system worlds.

Mob Wives, but it’s science


Catino, Maurizio et al. “Marrying for power: Gendered alliances in mafias.” PLOS One.

In a genuinely gangster new study, scientists took a whack at unraveling the marital power dynamics at work within the 'Ndrangheta mafia syndicate, an infamous crime ring built around familial ties.

“Interfamily marriages have long been recognized as a strategic resource in mafia organizations,” said researchers led by Maurizio Catino of the University of Milano-Bicocca. “Drawing on judicial records documenting…906 marriages among 623 ’Ndrangheta clans, we analyze how matrimonial ties relate to power and cohesion within the organization.”

While nuptials between the most powerful clans are important for group cohesion, the team found that the marriages among less influential families were the real “load-bearing” relationships in the network. In part, this is because boss families tended to be “associated with redundant, overlapping unions” whereas there is more elasticity in the outer circles.
Say hello to my little chart. Image: Catino, Maurizio et al.
The study is packed with wild and often disturbing anecdotes—and some that seem directly lifted from a Scorsese flick.

For instance, take the case of Emanuele Mancuso, whose aunt tried to dissuade him from cooperating with law enforcement with this pitch-perfect guilt trip: “How is your mother doing? She’s not well! She knows she no longer has a son, how do you think she feels?”

It’s stressful enough to plan a wedding without the additional pressure of figuring out how you will fit into an international criminal syndicate. You can only hope the union will end in holy (not holey) matrimony.

Thanks for reading! See you next week.


The University promised “to pursue all rights and claims for necessary relief” if a small Michigan community won’t pump water into a data center.#News


University Claims Withholding Water From Nuclear Weapons Data Center Is 'Unlawfully Discriminatory' to Data Centers


The University of Michigan has sent a legal threat over a yearlong pause that would prevent water hookup to a proposed nuclear weapons research and AI data center. Los Alamos National Laboratory and the University of Michigan are looking to build a $1.2 billion, 220,000 square foot data center in Ypsitlanti Township. On April 22, the Ypsilanti Community Utility Authority (YCUA) passed a 365-day moratorium on the delivery of water to hyperscale data centers in the area while it conducted environmental sustainability and long-term water use studies.

As first reported by MLive, the University hand delivered and emailed a legal threat to the YCUA on April 21, the day before it was to vote on the proposed water moratorium. According to a copy of the letter obtained by 404 Media, the university feels the moratorium is “unlawfully discriminatory” against data centers and it promised to pursue “all rights and claims for relief” if its demands weren’t met.
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Luther Blackburn, YCUA’s executive director, told 404 Media that the organization had no comment on potential or pending litigation, but did confirm that he’d received a legal communication from the university. “YCUA staff are working on a Request for Proposal to complete the investigations and studies outlined in the moratorium,” he said. “I believe YCUA has acted lawfully and in accordance with industry best practices by issuing the moratorium.”

The university disagreed. “The University objects to any such sector-specific moratorium which would be legally invalid because, among other defects, it would be unrelated to any documented utility or public health needs,” the letter said, according to a copy obtained by 404 Media. “As a threshold matter, a moratorium on utility service is permissible only when linked to legitimate utility considerations such as documented capacity constraints, public health issues, or genuine financing challenges.”
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The University argued, citing various legal precedents, that the courts will not be on Ypsilanti’s side and claimed that the area has plenty of water. “The record contains no evidence supporting any such YCUA capacity constraint,” the letter said. “To the contrary, YCUA’s leadership has publicly stated that serving the University’s proposed facility would not affect the authority’s ability to provide or treat water.”

The letter quoted Blackburn as saying he had confirmed in 2025 that the data center’s proposed use of 200,000 gallons a day were within YCUA’s 8-10 million gallon per day capacity. “In addition, YCUA leadership has stated that serving the University's project would likely help mitigate overall utility costs by improving efficiency and cost distribution,” the letter said.

Sean Knapp, the YCUA’s director of service operations, told Planet Detroit last year that the YCUA is operating below capacity at the moment. “Adding the data center as a customer would help mitigate overall costs by improving efficiency and cost distribution,” he said at the time.

After saying it was illegal for the Ypsilanti community to not give it water, the University claimed the moratorium discriminated against data centers. “Beyond the above legal deficiencies, the proposed moratorium is pretextual and unlawfully discriminatory because it singles out ‘data centers’ by label rather than by utility impact,” the letter said. “It is discriminatory to permit other users to connect and consume currently available capacity while the utility conducts undefined studies to determine whether there is sufficient capacity for the University’s proposed facility.”

The University then asked the YCUA not to pass a moratorium and promised to “pursue” the matter. “The University respectfully requests that YCUA refuse to issue any sector-specific moratorium, instead basing any service decisions on documented utility factors, applied evenhandedly through existing permitting and technical review processes,” the letter said. “If these legal requirements are not followed by YCUA, the University reserves the right to pursue all rights and claims for necessary relief.”

The University of Michigan did not return 404 Media’s request for comment.

Ypsilanti Township has been fighting the proposed datacenter for more than a year now. Data centers are wildly unpopular in the United States. They often cause noise pollution, affect water quality, and drive up utility bills for their neighbors. Local opposition to the Ypsilanti Township data center has been compounded by its connection to America’s nuclear weapons industry.


#News

This week, we discuss storage, RSS, and a big reporting project.#BehindTheBlog


Behind the Blog: Storage Woes and RSS


This is Behind the Blog, where we share our behind-the-scenes thoughts about how a few of our top stories of the week came together. This week, we discuss storage, RSS, and a big reporting project.

JOSEPH: In an earlier BTB I mentioned the pain of obtaining cryptocurrency in 2026. Well, that was in service for the article we published this week called ‘HELLO BOSS’: Inside the Chinese Realtime Deepfake Software Powering Scams Around the World. This has been a long time coming. As you can read in the piece, it took weeks, eventually more than a month really, to get the people to sell me the software and for us to test it.

I wanted to talk about my opinion on the ethics around a story like this. This is not a science. Many journalists have a different view on all sorts of different techniques or conduct. But these are my thoughts.

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Messages could include "medical circumstances, accessibility accommodations, disputes, sexual assault allegations," and more.#CanvasHack #Canvas #Instructure


'The Biggest Student Data Privacy Disaster in History': Canvas Hack Shows the Danger of Centralized EdTech


Thursday afternoon, millions of students at thousands of universities and K-12 schools were locked out of Canvas, a piece of catch-all education technology software that has become the de facto core of many classes. ShinyHunters, a ransomware group, hacked Canvas’s parent company and apparently stole “billions” of messages and accessed more than 275 million individuals’ data, according to the hacking group. The group also locked students out of Canvas.

Later Thursday, Instructure, which makes Canvas, was able to mostly put Canvas back online; it is not clear if the company paid a ransom or not. The breach demonstrates the danger in centralizing the educational and personal data of millions of students in a single service. Canvas is essentially a portal where teachers post assignments and lectures, have discussion boards, and students can message with each other and their teachers and connect with other pieces of education tech software.

Instructure noted on an incident update page that the stolen data includes “certain personal information of users at affected organizations. That includes names, email addresses, student ID numbers, and messages among Canvas users.” Instructure also noted that it was breached twice—once on April 29 and again on Thursday.

Soon after the hack, I called up Ian Linkletter, a digital librarian specializing in emerging education tech, to talk about the implications of the breach. Linkletter has worked in education tech for 20 years and over the last few years has become known for exposing privacy concerns in Proctorio, a remote test proctoring software that rose to prominence during the early days of the COVID-19 pandemic. Linkletter was sued by Proctorio but eventually the case was dropped.

Linkletter told me the Canvas hack is “the biggest student data privacy disaster in history” in part because of its scale and the sensitive nature of what was stolen. This is my conversation with Linkletter, which has been lightly condensed.

404 Media: What do we know about the hack so far?
Linkletter:
At about 1:20 PM [Pacific, Thursday], people started posting screenshots to Reddit of this breach message that they got. Some institutions were cautioning people to change their passwords if they were logged in, right now it just seems like people are in panic mode, some senior administration at schools are in meetings talking about whether they need to cancel finals next week. It’s just the implications are on everything because schools are reliant on this learning management system for everything—communications, grading, finals, everything.

In your email to me, you said you've worked in EdTech for 20 years and you said this is the biggest student data privacy disaster in history. I'm curious what sort of made you frame it that way.
I supported Blackboard [a similar piece of tech] way back in the day and I supported Canvas from about 2017 to 2022 when I worked at the University of British Columbia. And what I was there for when we switched to Canvas in 2017 was the shift from like these scrappy little self-hosted learning management system apps that would be on Canadian servers to this centralized, all eggs-in-one basket faith in a U.S. tech company. This idea that our data would be just as safe with them as it was when we had it. And because this move to the cloud happened so suddenly about 10 years ago, all of a sudden data got centralized. The only way that I can think of that this type of hack where everything went down, where so much was stolen would be if Instructure had access to everybody's data, which doesn't seem necessary. For it to be just so widespread across every customer is something that, like, [we’ve] never seen before.

Because the contents of messages got leaked, it’s really easy for phishing attacks to get customized. Like, Canvas got hacked [...] and continuing our conversation type of thing, you can get some really personal information from people. And that's also new.

I can also imagine messages between students and teachers to be pretty sensitive.
I supported instructors that used Canvas. And so I would hear these stories like, and they're on like the professor’s subreddit and stuff too, like students are telling you that people died [to explain absences]. There's personal circumstances, medical circumstances, accessibility accommodations, disputes, sexual assault allegations, like all sorts of stuff would be getting reported to the instructor using Canvas. If that information is out across hundreds of millions of people, there's a lot of harm that's going to happen.

What will you be kind of monitoring as this plays out?
My biggest concern right now is monitoring the institutional response. I feel very strongly that students should have been warned about this like days ago. And it just took this second hack where students got something in their face notifying them that really made schools respond. So I believe that students need to be warned or else they're going to get harmed. And the longer schools wait to tell students about what’s going on, even the little that they know, the more stress and chaos and potential risk to student privacy and safety is at stake.


A DHS official and another person who attended a recent conference described the plans to 404 Media.#ICE #News


ICE Plans to Develop Own Smart Glasses to ‘Supplement’ Its Facial Recognition App


Immigration and Customs Enforcement (ICE) is exploring developing a pair of smart glasses that would “supplement” the agency’s facial recognition Mobile Fortify application, which lets officers scan someone’s face to verify their citizenship, according to a Department of Homeland Security (DHS) official. Another person who attended a conference where a senior ICE official spoke about the plans also described them to 404 Media.

The smart glasses, if they came to fruition, would be yet another technological escalation in the Trump administration’s mass deportation campaign. 404 Media previously revealed ICE and Customs Border Protection (CBP) were using the internal app Mobile Fortify to scan peoples’ faces, and instantaneously query a wide range of government databases to decide whether to detain the person or not.

💡
Do you know anything else about tools or data ICE is using? I would love to hear from you. Using a non-work device, you can message me securely on Signal at joseph.404 or send me an email at joseph@404media.co.

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#News #ice

404 Media has obtained a copy of ‘Haotian AI’, a popular piece of realtime deepfake software marketed to scammers. It can turn a fraudster's face into anyone else's on WhatsApp, Zoom, and Teams.#Features #AI #scammers #Deepfakes

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“We really had no idea what we were getting ourselves into,” said one researcher involved in the first-of-its-kind study that dosed fish with psilocybin, the component in magic mushrooms.#TheAbstract #science #fish #psilocybin


Scientists Gave ‘Aggressive’ Fish Psychedelic Drugs. A Breakthrough Came Next


Move over, coked-up salmon. Fish dosed with psilocybin, the psychoactive component found in magic mushrooms, showed less aggression toward peers compared to their normal behavior in laboratory experiments, according to a study published on Thursday in Frontiers in Behavioral Neuroscience.

Scientists have studied the effects of psilocybin on humans and a variety of other mammals, but fish offer unique insights into the effects of this compound due to their wide varieties of social structures and activity levels. The research is the first to “demonstrate that psilocybin reduces aggression in any animal model,” according to the study, and opens the door to future studies that might pin down the neural mechanisms that underlie these behavioral changes.

Scientists Gave a Bunch of Salmon Cocaine. This Is What Happened Next
Salmon exposed to cocaine and its byproduct swam farther than unexposed fish, raising alarms about drug pollution in aquatic ecosystems.
404 MediaBecky Ferreira


The mangrove rivulus fish (Kryptolebias marmoratus) is particularly intriguing as a highly aggressive fish with incredible adaptations, including the ability to survive out of water for months at a time. It is also a rare hermaphroditic species that reproduces mainly through self-fertilization, producing clones that remove genetic variation as a factor in experiments.

“Each lineage that we have is essentially genetically identical, and between lineages, they are genetically distinct,” said Dayna Forsyth, a research associate at Acadia University in Nova Scotia who led the study, in a call with 404 Media. “So, we eliminate the genetic factor, and just focus on the behavioral effect.”

To determine how psilocybin influences behavior in these fish, Forsyth and her colleagues placed two undosed fish on opposite sides of a tank with a fiberglass mesh barrier that allowed the fish to see and smell each other, but prevented physical interactions. Then, the “focal fish” was removed and exposed to a low psilocybin dose in a separate tank for 20 minutes, and was later transferred back to the partitioned tank where its responses to the undosed “stimulus fish” were observed.

“We really had no idea what we were getting ourselves into,” Forsyth said. “We didn't have much to go off of before. My research question throughout was just: ‘does psilocybin affect fish behavior?’ We had no idea when we first started this, because there weren't too many papers out there on fish.”
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As it turned out, psilocybin had a noticeable impact on the behavior of these fish. Mangrove rivulus fish express aggression by suddenly darting at peers in swimming bursts, but these charges were noticeably reduced in the psilocybin-treated fish. However, the fish still interacted in less overtly hostile ways—such as performing lateral and head-on displays meant to size up peers—regardless of whether they had been dosed.

“We definitely predicted that all aggressive behaviors, including those lateral and head-on displays, would be decreased,” Forsyth said. “We really did not expect it to just target that highly aggressive and more energetically costly behavior, rather than the low-energy behaviors. That was definitely a surprise.”

The study adds to a growing body of research about the impacts of psychoactive compounds on fish, including a recent study in Current Biology about salmon that were exposed to cocaine.

Similar experiments could eventually yield insights about the effects of psilocybin, and other substances, on humans, given that we share some neural anatomy with fish. Forsyth is also interested in how an increased dose might affect fish, or whether they might develop a long-term tolerance to the compound that might shift their behavior back to a normal aggressive state.

“In terms of toxicology studies and exposing fish to a compound for a medicinal aspect, you always want the lowest dose that creates the outcome,” she said. “But it would be interesting to increase that dose and see if it almost reverses the effects. We don't know, but it would be interesting to see what that tolerance is for the dose, maybe even with repeated exposures over time.”


A Flock sales pitch; a retracted paper on ChatGPT; and Chinese interference in RightsCon.#Podcast


Podcast: Flock Used Cameras at a Children’s Gymnastics Center for a Sales Pitch


This week we start with Jason's story about Flock accessing cameras in a children's gymnastics room as a sale pitch demo. After the break, Emanuel tells us why Nature retracted a paper about the alleged benefits of ChatGPT in education. In the subscibers-only section, we talk all about the cancellation of RightsCon after pressure from the Chinese government.
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Listen to the weekly podcast on Apple Podcasts,Spotify, or YouTube. Become a paid subscriber for access to this episode's bonus content and to power our journalism. If you become a paid subscriber, check your inbox for an email from our podcast host Transistor for a link to the subscribers-only version! You can also add that subscribers feed to your podcast app of choice and never miss an episode that way. The email should also contain the subscribers-only unlisted YouTube link for the extended video version too. It will also be in the show notes in your podcast player.
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It was already a sordid tale of online drama, blurry photographs, and erratic TikToks. Then his mom started posting.#tradingcards #News


Man Finds $1 Million Worth of Yu-Gi-Oh Cards in a Dumpster


For the past month the story of a man who discovered almost a million dollars worth of rare trading cards in a Texas dumpster has enthralled a niche subset of the Yu-Gi-Oh trading card game community.

At the end of March, a man began to sell massive amounts of rare Yu-Gi-Oh cards online. He claimed he’d found them in the trash, but people in the community worried he’d stolen them. His posts on Facebook, TikTok, and eBay became erratic. He fought with people in the comments and said he’d made tens of thousands of dollars selling cards. Then his mom showed up on Facebook to defend him.

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Following the latest iOS update which requires UK mobile Apple device users to verify their ages, Pornhub’s parent company Aylo is lifting its ban—but only for people using iPads and iPhones.#ageverification #porn #pornhub #Apple #iPhone


UK iPhone and iPad Users Can Watch Porn Again


Aylo, the parent company of Pornhub and other major porn sites, announced today that in the UK, iPhone and iPad users will be able to access its sites again, ending an over three month ban that Aylo initially enacted because of the region’s age verification law.

As of Tuesday, following the iOS 26.4 rollout in the UK, users on the new operating system can visit Pornhub and Aylo’s other sites from their iPhones.

On April 29, Apple announced that it would start requiring mobile users to confirm ages on their devices to check if they’re 18 or older: “You can confirm your age with a credit card that belongs to you, or by scanning your passport, driving licence, or one of the following PASS-accredited Proof of Age cards: CitizenCard, My ID Card, TOTUM ID card or Young Scot National Entitlement Card. Debit cards and gift cards aren't supported,” according to Apple. Web content filters and communication safety tools are turned on automatically for children, as well as adults who haven’t confirmed their age, Apple wrote.

Many UK Users Soon Won’t Be Able to Access Pornhub
Starting February 2, many people connecting from the UK will not be able to access the porn site and many others.
404 MediaSamantha Cole


In January, Aylo announced that starting February 2 it would restrict people visiting the site from the UK. Leadership at Aylo and Ethical Capital Partners (ECP), which acquired Aylo in 2023, said at the time that the UK’s Online Safety Act was a failure. Before January, UK-based visitors to Aylo sites—which include RedTube, YouPorn, Brazzers, and many more—had to verify their ages by entering a credit card or uploading a government ID or other identification to an age estimation system called All Pass Trust. After February, anyone in the UK not already verified was locked out of those sites.

Age Verification Laws Drag Us Back to the Dark Ages of the Internet
Invasive and ineffective age verification laws that require users show government-issued ID, like a driver’s license or passport, are passing like wildfire across the U.S.
404 MediaEmanuel Maiberg


Experts say site-based age verification is both ineffective at stopping minors from viewing harmful content as it drives them from lawful sites to harmful, unregulated ones, and also chills adults’ abilities to work online as adult performers and consume legal adult entertainment online. The adult industry has been lobbying for device-based verification and parental controls, which often already exists as an optional feature on most devices children might have access to, as an alternative. Device-level age verification remains controversial among free speech and internet access groups.

In the UK, the Online Safety Act, which went into effect in 2025, requires sites to implement age verification or face millions of dollars in fines and jail—or up to 10 percent of global revenues, whichever is higher. In the US, more than half of states have strict age verification laws in place, and in many of those states, Aylo blocks access and directs users to contact their representatives.

This is the first time Aylo has come back to a market after restricting access to its sites in response to age verification laws.

“As of about 30 minutes ago, we're now live again in the UK, accessible to Apple users who have updated to the most recent version of the iOS,” Alex Kekesi, VP Brand and Community at Aylo, said in a 9:30 a.m. EST call on Tuesday.

Visitors to the sites who are using a Windows PC, Android device, or other non-iPhone or other mobile Apple devices such as iPads that use iOS in the UK will still not have access.

“We have been reaching out to the operating system providers to emphasize the need for a highly effective device based solution, that includes Google, that includes Microsoft and Apple,” Solomon Friedman, partner and vice president of compliance at ECP, said on the call. “And on behalf of ownership, we're obviously delighted to see that Apple has instituted UK wide, effective device based age assurance.”

In November 2025, Pornhub’s parent company Aylo sent letters to Apple, Google, and Microsoft urging them to support device-based age verification in their app stores and operating systems.


The Internet Archive, Wikimedia, academics, and hobby archivists are having trouble finding hard drives or are having to pay extremely high prices for them.#AI #archiving


The AI Hard Drive Shortage Is Making It More Expensive and Harder to Archive the Internet


Skyrocketing hard drive and storage costs caused by the AI data center boom are making it more expensive and more difficult for digital archivists, academics, Wikipedia, and hobby data hoarders to save data and archive the internet. Specific drives favored by some high profile organizations like the Internet Archive have become far more expensive or are difficult to find at all, archivists said.

Over the last several months, prices for both consumer level and enterprise solid state drives, hard drives, and other types of storage have skyrocketed. As an example, a 2TB external Samsung SSD I purchased last fall for $159 now costs $575. PC Part Picker, a website that tracks the average price of different types of drives, shows a universal increase in storage prices starting in about October of last year. Prices of many of the drives it tracks have doubled or increased by more than 150 percent, and at some stores SSDs and hard drives are simply sold out. There is now even a secondary market for some SSDs, with people scalping them on eBay and elsewhere.

Brewster Kahle, founder of the Internet Archive and the Wayback Machine, the most important archiving projects in the history of the internet, told 404 Media that the skyrocketing costs of storage is “a very real issue costing us time and money.”

“We have found that the preferred 28-30TB drives are just not available or at very high price,” Kahle said. “We gather over 100 terabytes of new materials each day, and we have over 210 Petabytes of materials already archived on machines that need continuous upgrades and maintenance, so we need to constantly get new hard drives.”

“We are fortunate to have an active community that donates to the Archive, and we are also looking for help from hard drive manufacturers in these difficult times. We are always looking for more help,” he added. “So far we have ways to work around these shortages, but it is a very real issue causing us time and money.”

The Wikimedia Foundation, which runs Wikipedia and various other projects, including Wikimedia Commons, an open repository of royalty free media, told 404 Media that the cost of storage has become a concern for the foundation’s projects as well.

“With over 65 million articles on Wikipedia alone, access to server and storage capacity is vital to us. We’ve certainly seen price increases since the end of 2025.These price increases are of concern to us, as with every other player in the industry. We see the primary impact in the purchase of memory and hard drives but also in terms of lead times on server deliveries and our capacity to place future orders,” a Wikimedia Foundation spokesperson told us. “The Wikimedia Foundation is a non-profit, and as such how we allocate budget is very carefully considered. We maintain our own data centers to serve our users from all over the world. We’re putting workarounds in place where we can, mainly involving being smart with how we prioritize investment in hardware, building in flexibility as well as extending the life of existing hardware where possible.”

💡
Have you been affected by skyrocketing SSD or RAM prices? I would love to hear from you. Using a non-work device, you can message me securely on Signal at jason.404. Otherwise, send me an email at jason@404media.co.

Western Digital, one of the largest manufacturers of hard drives and other storage systems, said that it has essentially sold out of its 2026 inventory to enterprise clients, many of which run data centers. Micron, which made RAM and SSDs under the brand name Crucial, has exited the consumer market altogether because “AI-driven growth in the data center has led to a surge in demand for memory and storage. Micron has made the difficult decision to exit the Crucial consumer business in order to improve supply and support for our larger, strategic customers in faster-growing segments.”

The AI boom is thus harming critical archiving projects in multiple ways. As a reaction to AI companies indiscriminately scraping the entire internet to train their large language models, website owners have increasingly put up registration walls, blocked web scrapers by changing their robots.txt to disallow bots, and have otherwise attempted to stop bots from accessing their websites. Many of these websites have either accidentally or purposefully ended up blocking bots from the Internet Archive and other archiving projects. The Electronic Frontier Foundation suggested “blocking the Internet Archive won’t stop AI, but it will erase the web’s historical record.” Beyond that logistical challenge, archivists are now needing to make difficult decisions about how and what to archive because they are, in some cases, simply running out of storage.

Mark Phillips, a University of North Texas professor who helps runs the End of Term Archive, which archives government websites between changes in presidential administrations, told 404 Media that he has had to consider the price of infrastructure recently: “When we went to refresh some of our servers, the costs of the RAM and SSDs for those machines were a dramatic increase and made us rethink some of the capacity we were hoping to go with,” he said. “We have not had to do any major storage purchases in the past six months, and I hope that by the time we do the market will have leveled out a bit.”

The cost of storage has become a constant topic of discussion on Reddit’s r/DataHoarder community, where digital librarians and hobby archivists discuss different archiving setups; many posts are from people who say they have simply had to stop buying drives, have had to put their archiving plans on hold, or are looking to vent about the price of drives. Occasionally, there are posts from people who managed to find a large drive for a decent price on clearance or at a thrift store. Many of these posts are from people who say that they have essentially given up on archiving new content until prices go down:

  • “I've decided to just call it quits for now. I don't really download much anymore. I just maintain my current data.”
  • “Slim pickings currently. Check Facebook marketplace as occasionally a deal can be had there especially from people who accidentally bought a sas drive and can't use it.”
  • “I'm looking for efficient ways to use older smaller drives that I have laying around doing nothing, because I need more space for backups. I can't see buying a 28tb drive right now. I've started adjusting my backup retentions to stretch the space I have.”
  • “Bust out your wallet is the only way or try to ride this out and hope prices come down.”
  • “You don't [buy new drives] right now. Better pray we actually get drives going forward.”
  • “Every vendor i worked with offered me a dinner and told me wait when i asked for a rather large quote.”
  • “Bwwaahahahahahahahahhahaha.....not until 2029...MAYBE. All the AI/datacenters have prepurchased hard drives.”

The question that seems to be on everyone's mind is how long will this shortage last, and will the price of storage ever go down again?


“What educators, parents and policy officials really needed was high quality data and evidence to help guide them. What they have had to deal with instead is some substandard research.”#News #education #AI


'Nature' Publisher Retracts Paper on the Benefits of ChatGPT in Education


Humanities & Social Sciences Communications, a major journal in the Nature Portfolio, has retracted a paper that claimed AI had a positive impact on student learning.

The original paper, titled “The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis,” was originally published in May of last year by Jin Wang and Wenxiang Fan of the Hangzhou Normal University in China. It is a meta-analysis, meaning it combines data from 51 research studies published between November 2022 and February 2025 on the effectiveness of ChatGPT in education. The paper claimed it found that ChatGPT had a large or moderately positive impact on “students’ learning performance, learning perception, and higher-order thinking.”

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A new bill introduced by Senators Adam Schiff and Mike Rounds would award grants to the National Science Foundation—which has endured massive funding cuts under the Trump Administration for science research—to put “AI literacy” in schools.#AI


OpenAI, Google, and Microsoft Back Bill to Fund ‘AI Literacy’ in Schools


A new, bipartisan bill introduced by Democratic Senator of California Adam Schiff and endorsed by the biggest AI developers in the world—including OpenAI, Google, and Microsoft—would change the K-12 curriculum to shoehorn in “AI literacy,” something that young people and teachers alike already hate in schools.

The Literacy in Future Technologies Artificial Intelligence, or LIFT AI Act, would empower the new director of the National Science Foundation (NSF) to make grant awards “on a merit-reviewed, competitive basis to institutions of higher education or nonprofit organizations (or a consortium thereof) to support research activities to develop educational curricula, instructional material, teacher professional development, and evaluation methods for AI literacy at the K–12 level,” the bill says.

💡
Are you a teacher, student, or parent with a tip about AI in your school? I would love to hear from you. Using a non-work device, you can message me securely on Signal at sam.404. Otherwise, send me an email at sam@404media.co.

It defines AI literacy as using AI; specifically, “having the age-appropriate knowledge and ability to use artificial intelligence effectively, to critically interpret outputs, to solve problems in an AI-enabled world, and to mitigate potential risks.”

The bill is endorsed by the American Federation of Teachers, Google, OpenAI, Information Technology Industry Council, Software & Information Industry Association, Microsoft, and HP Inc.

“With the growing adoption of artificial intelligence across industries, it’s crucial that our young people and workforce are equipped to succeed in this evolving landscape,” Schiff said in a press release.

“President Trump’s National Policy Framework for Artificial Intelligence made it clear that we must support American education and the development of an AI-ready workforce,” South Dakota Senator Mike Rounds wrote in the press release.

The NSF has been without a director for a year after its former director resigned amid the Trump administration’s mass-slashing of grants and jobs at the foundation. Last week, President Donald Trump fired all 22 members of the National Science Board (NSB), which oversees the NSF, without explanation. Jim O’Neill, Trump’s nominee to direct the NSF next, is a financier with no research background who formerly worked for Peter Thiel.

The grant would support “AI literacy evaluation tools and resources for educators assessing proficiency in AI literacy,” according to the bill. It would also fund “professional development courses and experiences in AI literacy,” and the development of “hands-on learning tools to assist in developing and improving AI literacy.”

Most importantly for real-world implications, it would fund changing the existing curriculum “to incorporate AI literacy where appropriate, including responsible use of AI in learning.”

Young people increasingly hate AI, and children already struggle with AI-enabled harassment that traumatizes them and disrupts their learning. And studies show kids are offloading learning onto AI models, undermining their education and social development.

Last year, the American Federation of Teachers announced a $23 million partnership with Microsoft, OpenAI and Anthropic to build an “AI training hub for educators” to show teachers how to do things like build lesson plans with AI. In January, the AFT announced it was leaving X because it was “sickened” by the non-consensual sexual abuse material created using xAI’s Grok image generator.

Six months ago, Schiff co-signed a letter urging Trump to take steps to protect consumers from energy costs incurred by data center development. “Since his second inauguration, President Trump has cozied up to Meta, Google, Oracle, OpenAI, and other Big Tech companies, fast-tracking and pushing for the buildout of power-hungry data centers across the country,” the letter said. Now, Schiff has “cozied up” to the world’s biggest AI tech companies.


#ai

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Presenters say that Weber State University’s legal team adopted a narrow construction of a state law designed to withhold funding from public institutions suspected of practicing DEI.#News #Features #FOIA


How a University’s Censorship Conference Got Censored


This story was reported with support from the MuckRock foundation.

Less than 72 hours before Weber State University in Utah was scheduled to host a conference on censorship, presenters were told not to discuss identity politics, or be removed from the official program agenda. In an email to presenters selected to participate in the 27th Annual Unity Conference, titled “Redacted: Navigating the Complexities of Censorship,” then-Vice President of Student Access & Success Jessica Oyler told participants that it wasn’t a “real” academic conference; therefore, their statements and materials that “take a side” on legislation or policies wouldn’t be protected by academic freedom under a particular state law.

Utah’s HB 261the state law in question—is one of many enacted to discourage public colleges and schools from using Diversity, Equity, and Inclusion (DEI) frameworks to inform admission and employment decisions, or risk losing future funding opportunities from the state. Dozens of similar laws have been implemented in states like Texas, Florida, Alabama, and Iowa in recent years. While these laws frequently make funding a central target, prohibitions on college classroom instruction are growing more frequent.

Proponents of free speech, academic freedom, and civil rights have criticized these laws, arguing that they force the institutions that have financially benefitted from implementing DEI initiatives and scholarly contributions from researchers to make concessions that keep the university funded at the expense of its reputation. Case in point, Weber State’s censorship conference.

404 Mediahas obtained documents via a Freedom of Information Act request that offer more insight into the university’s rationale, the presenters’ responses and what’s happened since.

Oyler tried to articulate to presenters that it wasn’t a “real” conference because it had been funded by the university’s student affairs division. Apparently, under Utah’s HB 261, this made the conference appear academically illegitimate, because under this law—and the university’s interpretation of it—academic freedom isn’t assured for students. Nor is it an assurance for university staff, or researchers, regardless of institutional affiliation, when programs aren’t funded through faculty affairs.

Sarah Herrmann, an associate professor of psychological science at Weber State, says she was encouraged by conference organizers to submit a proposal to present at the conference research she’d conducted with one of her students into the effects of legislation like HB 261 student campus culture. Specifically, how the resulting effects of legislation—like the closure of campus cultural centers—would impact the student experience. Their proposal was accepted, with Herrmann’s student having planned to present their findings at the conference. Then, mere days before the conference, the student received a request from one of the event organizers to remove any mention of “DEI” both as an acronym and spelled out, which was quickly forwarded to Herrmann.

“You can imagine students who were part of the Women's Center or cultural centers seeing their minor canceled,” Herrmann told 404 Media. “It conveys a message about who belongs and who doesn't.”

Herrmann’s student was among the first to officially withdraw from the conference, as it signaled an institutional willingness to dissuade the development of student scholarship—a trend taking hold at institutions in states with these laws in effect. For instance, in April, the Texas Tech University System issued a memo barring all future graduate theses and dissertations on sexual orientation and gender identity once currently enrolled students satisfy pre-determined degree requirements for graduation.

Coincidentally, Weber State is one of the institutions that has closed its campus cultural centers. It’s also one of the institutions that has “suspended” both its Queer Studies and Women’s & General Studies minor, which are both listed as “pending formal discontinuance” on the university’s web pages. university’s website. Rachel Badali, Weber State University’s public relations director told 404 Media in a statement that in order to comply with HB 265—yet another state law, the university came up with a “strategic reinvestment plan.” That plan resulted in the university eliminating more than 30 major, minor, certificate and emphasis programs.

“A major point of this process was to align WSU’s offerings with workforce needs, and market analysis for the state didn’t show a demand for jobs in those areas,” Badali told 404 Media. “There was also limited student demand. Last year’s combined enrollment in queer studies and women and gender studies was less than 50 students, which was about 0.28% of degree-seeking students.”

Richard Price, a professor of political science and philosophy at Weber State who publicly withdrew from the conference’s keynote panel after receiving Oyler’s email, has been involved in a number of the campus’s initiatives aimed at improving access to LGBTQ+ scholarship over the years. I spoke with Price shortly after they’d held their last queer history course of the semester and for the foreseeable future. They told 404 Media these programs received very little funding from the state.

“They were passion projects, closed to pacify legislators who don’t like seeing words like ‘queer,’” Price told 404 Media.

Price says morale among faculty is low, particularly for those in the social sciences and humanities, who also happen to belong to the identity groups being actively marginalized, claiming that earned media for scholarship isn’t being actively promoted by the campus. This is despite the individuals perceived to be at the helm of the censorship conference’s unraveling having left the institution for other opportunities.

“They don't want my research to come up easily in legislator searches,” Price added.

Price isn’t alone in making this claim. However, Weber State’s public relations arm disputes this characterization, with Badali noting that “[w]hen WSU employees are sharing their expertise or making headlines for their great work, it proves that students are learning from the very best in the field.

“That’s something the university continues to support and promote,” she added.

But researchers from other colleges who submitted proposals to the conference weren’t immune from the university’s rigid interpretation of the state’s anti-DEI laws, either. Brianne Kramer, an associate professor in the College of Education and Human Development at Southern Utah University and her colleague also received requests to edit their conference materials for references to “the New Right,” which are literally the first words in the title of a recently published article the presentation was based on.

Kramer told404 Mediathat she and her colleague, Sean P. Crossland of Utah Valley University were well aware that the university was asking them to censor themselves. However, the university’s request wasn’t their line in the sand. They didn’t expect to be censored during the event itself, and since neither of them are university affiliates, they didn’t have to fear reprisal.

“You can censor my title or the language in my abstract, but unless you gag me or drag me out of the room, I’m going to say what I need to say,” Kramer told 404 Media.

Kramer notes that academic researchers do have to take calculated risks when considering what conferences to present at or attend. This pressure encourages researchers to self-censor, which can be more detrimental than government intervention in part because it becomes so hard to measure the full extent of the problem. Kramer also says that it weakens tenure protections.

“Faculty may struggle to meet promotion and tenure requirements if they can’t publish or present certain types of scholarship,” she added. “This affects tenured and non-tenured faculty, limiting their ability to use their expertise. The consequences extend to students, who miss out on the full education they deserve when faculty self-censor in teaching, scholarship and service. Everyone loses in this scenario—not just faculty, but students and staff as well.”

Many of the initially scheduled presenters affected by Weber State’s rigid read of HB 261 welcomed efforts to reschedule the conference, led by the Wildcat Collective on two separate occasions—the second going better than the first, according to organizers, but never quite measuring up to what the conference was intended to be. Scholars like Kramer in Utah are also encouraged that SB 295 was signed into law in March of this year, amending HB 261 to broaden the scope ever so slightly. Kramer says that while it’s going to take time to return to anything close to the baseline, faculty researchers seem more inclined to mobilize in opposing restrictions to academic freedom in Utah and elsewhere, especially now that the consequences are out on full display.

“You can’t be an activist without hope,” Kramer added. “You have to be hopeful that even if we don’t get to see the big change, that we’re going to see those incremental changes, hopefully, as we move forward.”


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Scientists analyzed thousands of self-reported dreams and discovered that our sleeping visions are influenced by personality traits and external events, such as the pandemic.#TheAbstract


This Personality Trait Makes Dreams More Bizarre, Scientists Discover


Welcome back to the Abstract! These are the stories this week that dared to dream, slinked through the city, mourned their mothers, and visited ancient graveyards.

First, scientists studied thousands of dream reports and discovered that world events—like the COVID-19 pandemic—can manifest in our vespertine visions. Then: the science of urban snake rescues, the lonely lives of orphaned dolphins, and scientists fiddle with Rome’s ancient DNA.

As always, for more of my work, check out my book First Contact: The Story of Our Obsession with Aliens or subscribe to my personal newsletter the BeX Files.

The dream of understanding dreams


Elce, Valentina et al. “Individual traits and experiences predict the content of dreams.” Communications Psychology.

Why do we dream? It’s a question that has kept people up at night for thousands of years. Now, scientists have taken a new crack at the mystery by collecting and analyzing more than 3,700 reports from 207 participants who described both their dreams and waking experiences between 2020 to 2024, as well as 80 participants who reported their dreams during the onset of the COVID-19 pandemic from April to May 2020.

The results revealed possible links between personality traits and dream experiences, and suggested that dreams are influenced by external events such as the pandemic.

“During lockdown, dreams showed increased references to limitations and heightened emotional intensity, effects that gradually normalized over the following years,” said researchers led by Valentina Elce of IMT School for Advanced Studies Lucca. “These findings demonstrate that stable individual traits and incidental experiences jointly shape dream semantics.”

For the main dataset, Elce and her colleagues recruited 207 Italian adults ranging from 18 to 70 years old who were assessed for their psychological and cognitive traits, demographics, and sleep patterns. These participants recorded recollections of their dreams as soon as they woke up using a scale of descriptive elements, such as bizarreness, vividness, valence (emotional tone), and the level of agency they had over events in the dream. This sample of dreamers was also prompted to record their waking experiences throughout the day.
Figure 1 of the study illustrates descriptive statistics of report content across vigilance states (i.e., wakefulness and dream). Image: Elce, Valentina et al.
The team used natural language processing models to quantitatively analyze the semantic structure of the dream reports and correlations between individual traits and dream experiences. For example, people who let their mind wander in their waking hours reported having more bizarre dreams.

“Our findings indicate that dream bizarreness is associated with a higher tendency of the individuals to mind-wander, which also drives frequent shifts in narrative settings,” the team said. “This is in line with accounts suggesting that dreaming and mind-wandering may share a common neural and cognitive foundation.”

The lockdown group, meanwhile, was composed of 60 women and 20 men who recorded their dreams in diaries during spring 2020. By comparing the two samples, the researchers suggest that “external emotionally salient events, in this case the COVID-19 pandemic, might affect dream experiences and how such effects develop over long time spans,” according to the study.

“Notably, themes concerning healthcare, which were heavily represented in daily life during the pandemic, showed no significant changes,” the researchers said. “However, in a continuous line with what was happening in the daylight world, the actions of the individuals while they were dreaming were described as limited by physical or metaphorical constraints and the recalled emotional states carried a stronger intensity.”

Godspeed to the oneirologists—the term for scientists who study dreams—for finding new ways to probe these ephemeral experiences that constantly elude explanation.

In other news…

Hey, I’m slithering here!


Visvanathan, Avinash C. et al. “Urban snake ecology revealed through the lens of decadal data on snake rescues in a megacity.” Global Ecology and Conservation.

In cities with urban snake populations, such as Hyderabad in India, millions of people live alongside venomous snakes—including deadly Indian cobras and Russell’s vipers—that have been displaced by rapid habitat loss.

To discourage people from just killing these cosmopolitan cobras, an organization called the Friends of Snakes Society performs “snake rescues” with trained handlers who remove snakes and transport them to safer locations. By analyzing 55,467 snake rescue records in Hyderabad from 2013 to 2022, a team found that snake rescues rose nearly 17 percent over the decade, and that about 54 percent (n = 30,189) of rescues involved venomous snakes.
undefinedVenomous Indian cobras were the most common snakes to be rescued, making up 49 percent of all cases (27,132 snakes). Image: Pavan Kumar N
“Snakes have either become locally extinct or have adapted to the city as their habitat, resulting in intensified human–wildlife interactions in Hyderabad and its neighboring areas,” said researchers led by Avinash Visvanathan of the Friends of Snakes Society. “The dataset demonstrates that standardized snake rescue operations not only mitigate immediate risks but also generate valuable ecological information.”

As always, The Simpsons already did it with the 1993 episode “Whacking Day,” though in that case, a mass snake rescue was made possible by the dulcet tones of Barry White rather than a helpline. Perhaps the efficacy of baritone vocals in urban snake management could offer a future avenue of study.

Orphans of the sea


Cristina Vicente-Sánchez et al. “Two Cases of Early Orphan Survival in Indo-Pacific Bottlenose Dolphins (Tursiops aduncus) From the Adelaide Dolphin Sanctuary, South Australia.” Marine Mammal Science.

Dolphins, like humans, invest a lot of maternal care into their young, typically nursing calves for two to three years. But scientists now discovered that months-old orphaned calves can survive the deaths of their mothers—though they are negatively impacted by their losses.

Ali, an Indo-Pacific bottlenose dolphin born in February 2011, suddenly lost her mother Millie in October that same year; Rocket, a member of the same species born in February 2022, was orphaned at seven months old after her mother Ripple disappeared.
Ali photographed shortly before becoming an orphan in 2011 in (a) and (b) and with her newborn calf in March 2025. Images: Barbara Saberton (a) and Cristina Vicente Sanchez (b).
Ali is probably still alive and birthed her own calf in 2025, though it sadly died of blunt force trauma at a few weeks old, possibly due to infanticide or a boat strike. Rocket endured for three years, and was sometimes spotted with a mother-calf pair that may have cared for her, before she was killed by a boat strike last year. Both Ali and Rocket displayed maladaptive behavior, especially getting too close to boats.

The study “provides rare empirical evidence that young-of-year calves can persist without maternal care,” said researchers led by Cristina Vicente-Sánchez of Flinders University.

It’s a bittersweet finding, demonstrating that when young calves are forced to sink or swim, some can make it—but they may bear lifelong signs of bereavement.

The fall of Rome, according to DNA


Blöcher, Jens, Vallini, Leonardo et al. “Demography and life histories across the Roman frontier in Germany 400–700 ce.” Nature.

Oceans of ink have been spilled on the rise and fall of the Roman empire, but scientists have now read the story that is written in the genomes of people who lived in the aftermath.

A new study analyzed ancient DNA from 258 individuals found at grave sites in southern Germany who died between the years 400 and 700. These reconstructed lineages “reveal a major demographic shift coinciding with the late fifth century collapse of Roman state structures, when a founding population of northern European ancestry mixed with genetically diverse Roman provincial groups” said researchers co-led by Jens Blöcher and Leonardo Vallini of Johannes Gutenberg University Mainz.

These intermarriages eventually formed ”a population resembling modern Central Europeans by the early seventh century,” and reflected the rise of “Christian ideals such as lifelong monogamy, with minimal divorce or remarriage after widowhood” and “strict incest avoidance,” according to the study.

While this time of transition “has traditionally been framed as a conflict between northern ‘barbarians’ and a Roman Empire in decline, newer studies reveal a multifaceted transformation,” the team added.

Rome wasn’t built in a day, so the saying goes, and its flamboyant collapse is arguably still in motion, inspiring new interpretations and never-ending material for history podcasters.

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RightCon's organizers said Beijing was upset over over the inclusion of speakers from Taiwain.#News


China Pressure Canceled World’s Largest Digital Human Rights Conference


The Chinese government pressured Zambia to cancel RightsCon, the world’s largest digital human rights conference, at the last minute, according to the conference’s organizers. Beijing was upset that the speaker’s list included prominent figures from Taiwanese civil society, AccessNow, the group that organizes RightsCon, wrote Friday.

On Wednesday, guests and speakers from across the planet headed to Zambia to attend RightsCon, the largest digital human rights conference in the world. Zambian immigration officials turned away early arrivals, saying the conference had been cancelled. The African country’s government posted a vague message on Facebook saying the conference had been postponed. By the end of the day, event organizers Access Now officially cancelled the conference and told participants not to go to Africa.

RightsCon is a large conference that takes years to plan and hosts thousands of people. It requires a high level of coordination between Access Now and the host country and it’s odd to cancel something this logistically complicated five days before it begins. On Friday, Access Now revealed details about what happened in a blog post. WIRED earlier reported on the Chinese pressure.

“On April 27, one day after a government press release endorsed RightsCon, we received a phone call from [Zambia’s Ministry of Technology] about an urgent issue and were told that diplomats from the People’s Republic of China (PRC) were putting pressure on the Government of Zambia because Taiwanese civil society participants were planning to join us in person,” the post said.
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“This development was extremely concerning and we immediately pushed back. Next, we opened up lines of communication with our Taiwanese participants, as is our practice when there is a potential risk for a specific community. While we needed more information, we continued to feel confident this was something we could address with the government,” Access Now added.

Scheduled speakers included Jo-Fan Yu, the CEO of the Taiwan Network Information Center, a non-profit that monitors Taiwan’s internet infrastructure, and E-Ling Chiu, the director of Amnesty International Taiwan. RightsCon was held in Taipei, Taiwan in 2025. China notoriously considers Taiwan to be part of China, and China has exerted pressure on countries and companies around the world to not acknowledge Taiwan’s independence.

After Zambia called Access Now, it posted a letter on Facebook and sent it to the rights group on WhatsApp. “This was our first official, written communication from the Ministry. According to the letter, the postponement was ‘necessitated by the need for comprehensive disclosure of critical information relating to key thematic issues proposed for discussion,’ which would be ‘essential to ensure full alignment with Zambia’s national values and broader public interest considerations,’” Access Now said in its blog.

“It is simply impossible to postpone an event the size and scale of RightsCon a week before it is set to start,” the organization added. “The summit requires more than a year of planning and preparation to host thousands of people and curate a program of more than 500 sessions.”

The language of the public letter was vague, but Access Now said its background conversations with Zambia were clear. “In order for RightsCon to continue, we would have to moderate specific topics and exclude communities at risk, including our Taiwanese participants, from in-person and online participation,” it said.

“This was our red line,” Access Now said. “Not because we were unwilling to engage, but because the conditions set before us were unacceptable and counter to what RightsCon is and what Access Now stands for.”


#News

This week, we discuss a wild message, a new anthology, and a visit to a museum.#BehindTheBlog


Behind the Blog: Big Questions of Consciousness


This is Behind the Blog, where we share our behind-the-scenes thoughts about how a few of our top stories of the week came together. This week, we discuss a wild message, big questions about consciousness, and a visit to a museum.

JASON: I got an extremely funny Signal message yesterday after I published my most recent article about Flock. Like, very confused Signal message from someone who ostensibly thought maybe they were a source? We do sometimes get article tips that are like “Off the record, not to be quoted, confidential source:” and then the entirety of the message is like “did you see this article in The New York Times?”

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