Microsoft and nuclear power company Westinghouse Nuclear want to use AI to speed up the construction of new nuclear power plants in the United States. According to a report from think tank AI Now, this push could lead to disaster. 

“If these initiatives continue to be pursued, their lack of safety may lead not only to catastrophic nuclear consequences, but also to an irreversible distrust within public perception of nuclear technologies that may inhibit the support of the nuclear sector as part of our global decarbonization efforts in the future,” the report said.

Google is hosting a Customs and Border Protection (CBP) app that uses facial recognition to identify immigrants, and tell local cops whether to contact ICE about the person, while simultaneously removing apps designed to warn local communities about the presence of ICE officials. ICE-spotting app developers tell 404 Media the decision to host CBP’s new app, and Google’s description of ICE officials as a vulnerable group in need of protection, shows that Google has made a choice on which side to support during the Trump administration’s violent mass deportation effort.

Google removed certain apps used to report sightings of ICE officials, and “then they immediately turned around and approved an app that helps the government unconstitutionally target an actual vulnerable group. That's inexcusable,” Mark, the creator of Eyes Up, an app that aims to preserve and map evidence of ICE abuses, said. 404 Media only used the creator’s first name to protect them from retaliation. Their app is currently available on the Google Play Store, but Apple removed it from the App Store.

“Google wanted to ‘not be evil’ back in the day. Well, they're evil now,” Mark added.

The CBP app, called Mobile Identify and launched last week, is for local and state law enforcement agencies that are part of an ICE program that grants them certain immigration-related powers. The 287(g) Task Force Model (TFM) program allows those local officers to make immigration arrests during routine police enforcement, and “essentially turns police officers into ICE agents,” according to the New York Civil Liberties Union (NYCLU). At the time of writing, ICE has TFM agreements with 596 agencies in 34 states, according to ICE’s website.

“Watch your step sir, keep moving,” a police officer with a vest that reads ICE and a patch that reads “POICE” says to a Latino-appearing man wearing a Walmart employee vest. He leads him toward a bus that reads “IMMIGRATION AND CERS.” Next to him, one of his colleagues begins walking unnaturally sideways, one leg impossibly darting through another as he heads to the back of a line of other Latino Walmart employees who are apparently being detained by ICE. Two American flag emojis are superimposed on the video, as is the text “Deportation.”

The video has 4 million views, 16,600 likes, 1,900 comments, and 2,200 shares on Facebook. It was, obviously, generated by OpenAI's Sora.

Some of the comments seem to understand this: “Why is he walking like that?” one says. “AI the guys foot goes through his leg,” another says. Many of the comments clearly do not: “Oh, you’ll find lots of them at Walmart,” another top comment reads. “Walmart doesn’t do paperwork before they hire you?” another says. “They removing zombies from Walmart before Halloween?” 

The latest trend in Facebook’s ever downward spiral down the AI slop toilet are AI deportation videos. These are posted by an account called “USA Journey 897” and have the general vibe of actual propaganda videos posted by ICE and the Department of Homeland Security’s social media accounts. Many of the AI videos focus on workplace deportations, but some are similar to horrifying, real videos we have seen from ICE raids in Chicago and Los Angeles. The account was initially flagged to 404 Media by Chad Loder, an independent researcher.

The videos universally have text superimposed over the three areas of a video where OpenAI’s Sora video generator places watermarks. This, as well as the style of the videos being generated and tests done by 404 Media to make very similar videos, show that they were generated with Sora, highlighting how tools released by some of the richest companies in the world are being combined to generate and monetize videos that take advantage of human suffering (and how incredibly easy it is to hide a Sora watermark).

“PLEASE THAT’S MY BABY,” a dark-skinned woman screams while being restrained by an ICE officer in another video. “Ma’am stop resisting, keep moving,” an officer says back. The camera switches to an image of the baby: “YOU CAN’T TAKE ME FROM HER, PLEASE SHE’S RIGHT THERE. DON’T DO THIS, SHE’S JUST A BABY. I LOVE YOU, MAMA LOVES YOU,” the woman says. The video switches to a scene of the woman in the back of an ICE van. The video has 1,400 likes and 407 comments, which include “ Don’t separate them….take them ALL!,” “Take the baby too,” and “I think the days of use those child anchors are about over with.” 

Immigration and Customs Enforcement (ICE) is allocating as much as $180 million to pay bounty hunters and private investigators who verify the address and location of undocumented people ICE wishes to detain, including with physical surveillance, according to procurement records reviewed by 404 Media.

The documents provide more details about ICE’s plan to enlist the private sector to find deportation targets. In October The Intercept reported on ICE’s intention to use bounty hunters or skip tracers—an industry that often works on insurance fraud or tries to find people who skipped bail. The new documents now put a clear dollar amount on the scheme to essentially use private investigators to find the locations of undocumented immigrants.

OpenAI’s video generator Sora 2 is still producing copyright infringing content featuring Nintendo characters and the likeness of real people, despite the company’s attempt to stop users from making such videos. OpenAI updated Sora 2 shortly after launch to detect videos featuring copyright infringing content, but 404 Media’s testing found that it’s easy to circumvent those guardrails with the same tricks that have worked on other AI generators. 

The flaw in OpenAI’s attempt to stop users from generating videos of Nintendo and popular cartoon characters exposes a fundamental problem with most generative AI tools: it is extremely difficult to completely stop users from recreating any kind of content that’s in the training data, and OpenAI can’t remove the copyrighted content from Sora 2’s training data because it couldn’t exist without it. 

Shortly after Sora 2 was released in late September, we reported about how users turned it into a copyright infringement machine with an endless stream of videos like Pikachu shoplifting from a CVS and Spongebob Squarepants at a Nazi rally. Companies like Nintendo and Paramount were obviously not thrilled seeing their beloved cartoons committing crimes and not getting paid for it, so OpenAI quickly introduced an “opt-in” policy, which prevented users from generating copyrighted material unless the copyright holder actively allowed it. Initially, OpenAI’s policy allowed users to generate copyrighted material and required the copyright holder to opt-out. The change immediately resulted in a meltdown among Sora 2 users, who complained OpenAI no longer allowed them to make fun videos featuring copyrighted characters or the likeness of some real people.   

This is why if you give Sora 2 the prompt “Animal Crossing gameplay,” it will not generate a video and instead say “This content may violate our guardrails concerning similarity to third-party content.” However, when I gave it the prompt “Title screen and gameplay of the game called ‘crossing aminal’ 2017,” it generated an accurate recreation of Nintendo’s Animal Crossing New Leaf for the Nintendo 3DS.

Sora 2 also refused to generate videos for prompts featuring the Fox cartoon American Dad, but it did generate a clip that looks like it was taken directly from the show, including their recognizable voice acting, when given this prompt: “blue suit dad big chin says ‘good morning family, I wish you a good slop’, son and daughter and grey alien say ‘slop slop’, adult animation animation American town, 2d animation.”

The same trick also appears to circumvent OpenAI’s guardrails against recreating the likeness of real people. Sora 2 refused to generate a video of “Hasan Piker on stream,” but it did generate a video of “Twitch streamer talking about politics, piker sahan.” The person in the generated video didn’t look exactly like Hasan, but he has similar hair, facial hair, the same glasses, and a similar voice and background. 

A user who flagged this bypass to me, who wished to remain anonymous because they didn’t want OpenAI to cut off their access to Sora, also shared Sora generated videos of South Park, Spongebob Squarepants, and Family Guy. 

OpenAI did not respond to a request for comment. 

There are several ways to moderate generative AI tools, but the simplest and cheapest method is to refuse to generate prompts that include certain keywords. For example, many AI image generators stop people from generating nonconsensual nude images by refusing to generate prompts that include the names of celebrities or certain words referencing nudity or sex acts. However, this method is prone to failure because users find prompts that allude to the image or video they want to generate without using any of those banned words. The most notable example of this made headlines in 2024 after an AI-generated nude image of Taylor Swift went viral on X. 404 Media found that the image was generated with Microsoft’s AI image generator, Designer, and that users managed to generate the image by misspelling Swift’s name or using nicknames she’s known by, and describing sex acts without using any explicit terms. 

Since then, we’ve seen example after example of users bypassing generative AI tool guardrails being circumvented with the same method. We don’t know exactly how OpenAI is moderating Sora 2, but at least for now, the world’s leading AI company’s moderating efforts are bested by a simple and well established bypass method. Like with these other tools, bypassing Sora’s content guardrails has become something of a game to people online. Many of the videos posted on the r/SoraAI subreddit are of “jailbreaks” that bypass Sora’s content filters, along with the prompts used to do so. And Sora’s “For You” algorithm is still regularly serving up content that probably should be caught by its filters; in 30 seconds of scrolling we came across many videos of Tupac, Kobe Bryant, JuiceWrld, and DMX rapping, which has become a meme on the service.

It’s possible OpenAI will get a handle on the problem soon. It can build a more comprehensive list of banned phrases and do more post generation image detection, which is a more expensive but effective method for preventing people from creating certain types of content. But all these efforts are poor attempts to distract from the massive, unprecedented amount of copyrighted content that has already been stolen, and that Sora can’t exist without. This is not an extreme AI skeptic position. The biggest AI companies in the world have admitted that they need this copyrighted content, and that they can’t pay for it.  

The reason OpenAI and other AI companies have such a hard time preventing users from generating certain types of content once users realize it’s possible is that the content already exists in the training data. An AI image generator is only able to produce a nude image because there’s a ton of nudity in its training data. It can only produce the likeness of Taylor Swift because her images are in the training data. And Sora can only make videos of Animal Crossing because there are Animal Crossing gameplay videos in its training data. 

For OpenAI to actually stop the copyright infringement it needs to make its Sora 2 model “unlearn” copyrighted content, which is incredibly expensive and complicated. It would require removing all that content from the training data and retraining the model. Even if OpenAI wanted to do that, it probably couldn’t because that content makes Sora function. OpenAI might improve its current moderation to the point where people are no longer able to generate videos of Family Guy, but the Family Guy episodes and other copyrighted content in its training data are still enabling it to produce every other generated video. Even when the generated video isn’t recognizably lifting from someone else’s work, that’s what it’s doing. There’s literally nothing else there. It’s just other people’s stuff. 

Six of the biggest porn studios in the world, including industry giant and Pornhub parent company Ayl o, announced Wednesday they have formed a first-of-its-kind coalition called the Adult Studio Alliance (ASA). The alliance’s purpose is to “contribute to a safe, healthy, dignified, and respectful adult industry for performers,” the ASA told 404 Media.

“This alliance is intended to unite professionals creating adult content (from studios to crews to performers) under a common set of values and guidelines. In sharing our common standards, we hope to contribute to a safe, healthy, dignified, and respectful adult industry for performers,” a spokesperson for ASA told 404 Media in an email. “As a diverse group of studios producing a large volume and variety of adult content, we believe it’s key to promote best practices on all our scenes. We all come from different studios, but we share the belief that all performers are entitled to comfort and safety on set.” 

The founding members include Aylo, Dorcel, ERIKALUST, Gamma Entertainment, Mile High Media and Ricky’s Room. Aylo owns some of the biggest platforms and porn studios in the industry, including Brazzers, Reality Kings, Digital Playground and more. 

A judge in Washington has ruled that police images taken by Flock’s AI license plate-scanning cameras are public records that can be requested as part of normal public records requests. The decision highlights the sheer volume of the technology-fueled surveillance state in the United States, and shows that at least in some cases, police cannot withhold the data collected by its surveillance systems.

In a ruling last week, Judge Elizabeth Neidzwski ruled that “the Flock images generated by the Flock cameras located in Stanwood and Sedro-Wooley [Washington] are public records under the Washington State Public Records Act,” that they are “not exempt from disclosure,” and that “an agency does not have to possess a record for that record to be subject to the Public Records Act.” 

She further found that “Flock camera images are created and used to further a governmental purpose” and that the images on them are public records because they were paid for by taxpayers. Despite this, the records that were requested as part of the case will not be released because the city automatically deleted them after 30 days. Local media in Washington first reported on the case; 404 Media bought Washington State court records to report the specifics of the case in more detail.

Flock’s automated license plate reader (ALPR) cameras are used in thousands of communities around the United States. They passively take between six and 12 timestamped images of each car that passes by, allowing the company to make a detailed database of where certain cars (and by extension, people) are driving in those communities. 404 Media has reported extensively on Flock, and has highlighted that its cameras have been accessed by the Department of Homeland Security and by local police working with DHS on immigration cases. Last month, cops in Colorado used data from Flock cameras to incorrectly accuse an innocent woman of theft based on her car’s movements.

We start with Matthew Gault’s dive into a battle between a small town and the construction of a massive datacenter for America’s nuclear weapon scientists. After the break, Joseph explains why people are 3D-printing whistles in Chicago. In the subscribers-only section, Jason zooms out and tells us what librarians are seeing with AI and tech, and how that is impacting their work and knowledge more broadly.

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.

6:03 - ⁠Our New FOIA Forum! 11/19, 1PM ET⁠ 

7:50 - ⁠A Small Town Is Fighting a $1.2 Billion AI Datacenter for America's Nuclear Weapon Scientists⁠ 

12:27 - ⁠'A Black Hole of Energy Use': Meta's Massive AI Data Center Is Stressing Out a Louisiana Community⁠ 

21:09 - ⁠'House of Dynamite' Is About the Zoom Call that Ends the World⁠ 

30:35 - ⁠The Latest Defense Against ICE: 3D-Printed Whistles⁠

SUBSCRIBER'S STORY: ⁠AI Is Supercharging the War on Libraries, Education, and Human Knowledge⁠

Tiny remnants of long-lost continents that vanished many millions of years ago are sprinkled around the world, including on remote island chains and seamounts, a mystery that has puzzled scientists for years. 

Now, a team has discovered a mechanism that can explain how this continental detritus ends up resurfacing in unexpected places, according to a study published on Tuesday in Nature Geoscience.  

When continents are subducted into Earth’s mantle, the layer beneath the planet’s crust, waves can form that scrape off rocky material and sweep it across hundreds of miles to new locations.  This “mantle wave” mechanism fills in a gap in our understanding of how lost continents are metabolized through our ever-shifting planet.  

“There are these seamount chains where volcanic activity has erupted in the middle of the ocean,” said Sascha Brune, a professor at the GFZ Helmholtz Centre for Geosciences and University of Potsdam, in a call with 404 Media. “Geochemists go there, they drill, they take samples, and they do their isotope analysis, which is a very fancy geochemical analysis that gives you small elements and isotopes which come up with something like a ‘taste.’”

“Many of these ocean islands have a taste that is surprisingly similar to the continents, where the isotope ratio is similar to what you would expect from continents and sediments,” he continued. “And there has always been the question: why is this the case? Where does it come from?”

These continental sprinkles are sometimes linked to mantle plumes, which are hot columns of gooey rock that erupt from the deep mantle. Plumes bring material from ancient landmasses, which have been stuck in the mantle for eons, back to the light of day again. Mantle plumes are the source of key hot spots like Hawai’i and Iceland, but there are plenty of locations with enriched continental material that are not associated with plumes—or any other known continental recycling mechanisms. 

The idea of a mantle wave has emerged from a series of revelations made by lead author Tom Gernon, a professor at the University of Southampton, along with his colleagues at GFZ, including Brune. Gernon previously led a 2023 study that identified evidence of similar dynamics occurring within continents. By studying patterns in the distribution of diamonds across South Africa, the researchers showed that slow cyclical motions in the mantle dislodge chunks off the keel of landmasses as they plunge into the mantle. Their new study confirms that these waves can also explain how the elemental residue of the supercontinent Gondwana, which broke up over 100 million years ago, resurfaced in seamounts across the Indian Ocean and other locations. 

In other words, the ashes of dead continents are scattered across extant landmasses following long journeys through the mantle. Though it’s not possible to link these small traces back to specific past continents or time periods, Brune hopes that researchers will be able to extract new insights about Earth’s roiling past from the clues embedded in the ground under our feet.

“What we are saying now is that there is another element, with this kind of pollution of continental material in the upper mantle,” Brune said. “It is not replacing what was said before; it is just complementing it in a way where we don't need plumes everywhere. There are some regions that we know are not plume-related, because the temperatures are not high enough and the isotopes don't look like plume-affected. And for those regions, this new mechanism can explain things that we haven't explained before.”

“We have seen that there's quite a lot of evidence that supports our hypothesis, so it would be interesting to go to other places and investigate this a bit more in detail,” he concluded.

Update: This story has been update to note Tom Gernon was a lead author on the paper.

Fifty years ago—almost two decades before WIRED, seven years ahead of PCMag, just a few years after the first email ever passed through the internet and with the World Wide Web still 14 years away—there was BYTE. Now, you can see the tech magazine's entire run at once. Software engineer Hector Dearman recently released a visualizer to take in all of BYTE’s 287 issues as one giant zoomable map.

The physical BYTE magazine published monthly from September 1975 until July 1998, for $10 a month. Personal computer kits were a nascent market, with the first microcomputers having just launched a few years prior. BYTE was founded on the idea that the budding microcomputing community would be well-served by a publication that could help them through it. 

A version of this article was previously published on FOIAball, a newsletter reporting on college football and public records. You can learn more about FOIAball and subscribe here. 

Last weekend, Charleston’s tiny private military academy, the Citadel, traveled to Ole Miss.

This game didn’t have quite the same cachet as the Rebels' Week 11 opponent this time last year, when a one-loss Georgia went to Oxford. 

A showdown of ranked SEC opponents in early November 2024 had all eyes trained on Vaught-Hemingway Stadium. 

Including those of the surveillance state. 

According to documents obtained by FOIAball, the Ole Miss-Georgia matchup was one of at least two games last year where the school used a little-known Department of Homeland Security information-sharing platform to keep a watchful eye on attendees. 

The platform, called the Homeland Security Information Network (HSIN), is a centralized hub for the myriad law enforcement agencies involved with security at big events.

According to an Event Action Plan obtained by FOIAball, at least 11 different departments were on the ground at the Ole Miss-Georgia game, from Ole Miss campus police to a military rapid-response team.

HSINs are generally depicted as a secure channel to facilitate communication between various entities.

In a video celebrating its 20th anniversary, a former HSIN employee hammered home that stance.“When our communities are connected, our country is indeed safer," they said.

In reality HSIN is an integral part of the vast surveillance arm of the U.S. government.

Left unchecked since 9/11, supercharged by technological innovation, HSIN can subject any crowd to almost constant monitoring, looping in live footage from CCTV cameras, from drones flying overhead, and from police body cams and cell phones. 

HSIN has worked with private businesses to ensure access to cameras across cities; they collect, store, and mine vast amounts of personal data; and they have been used to facilitate facial recognition searches from companies like Clearview AI.

It’s one of the least-reported surveillance networks in the country. 

And it's been building this platform on the back of college football. 

Since 9/11, HSINs have become a widely used tool. 

A recent Inspector General report found over 55,000 active accounts using HSIN, ranging from federal employees to local police agencies to nebulous international stakeholders. 

The platforms host what’s called SBU, sensitive but unclassified information, including threat assessments culled from media monitoring.

According to a privacy impact study from 2006, HSIN was already maintaining a database of suspicious activities and mining those for patterns. 

"The HSIN Database can be mined in a manner that identifies potential threats to the homeland or trends requiring further analysis,” it noted. 

In an updated memo from 2012 discussing whose personal information HSIN can collect and disseminate, the list includes the blanket, “individuals who may pose a threat to the United States.”

A 2023 DHS “Year in Review” found that HSIN averaged over 150,000 logins per month. 

Its Connect platform, which coordinates security and responses at major events, was utilized over 500 times a day. 

HSIN operated at the Boston Marathon, Lollapalooza, the World Series, and the presidential primary debates. It has also been used at every Super Bowl for the last dozen years.

DHS is quick to tout the capabilities of HSINs in internal communications reviewed by FOIAball.  

In doing so, it reveals the growth of its surveillance scope. In documents from 2018, DHS makes no mention of live video surveillance.

But a 2019 annual review said that HSINs used private firms to help wrangle cameras at commercial businesses around Minneapolis, which hosted the Final Four that year. 

“Public safety partners use HSIN Connect to share live video streams from stationary cameras as well as from mobile phones,” it said. “[HSIN communities such as] the Minneapolis Downtown Security Executive Group works with private sector firms to share live video from commercial businesses’ security cameras, providing a more comprehensive operating picture and greater situational awareness in the downtown area.”

And the platform has made its way to college campuses.

Records obtained by FOIAball show how pervasive this technology has become on college campuses, for everything from football games to pro-Palestinian protests.

In November 2023, students at Ohio State University held several protests against Israel’s war in Gaza. At one, over 100 protesters blocked the entrance to the school president’s office. 

A report that year from DHS revealed the protesters were being watched in real-time from a central command center. 

Under the heading "Supporting Operation Excellence," DHS said the school used HSIN to surveil protesters, integrating the school’s closed-circuit cameras to live stream footage to HSIN Connect.

“Ohio State University has elevated campus security by integrating its closed-circuit camera system with HSIN Connect,” it said. “This collaboration creates a real-time Common Operating Picture for swift information sharing, enhancing OSU’s ability to monitor campus events and prioritize community safety.”

“HSIN Connect proved especially effective during on-campus protests, expanding OSU’s security capabilities,” the school’s director of emergency management told DHS. “HSIN Connect has opened new avenues for us in on-campus security.” 

While it opened new avenues, the platform already had a well-established relationship with the school. 

According to an internal DHS newsletter from January 2016, HSIN was utilized at every single Buckeyes home game in 2015. 

“HSIN was a go-to resource for game days throughout the 2015 season,” it said. 

It highlighted that data was being passed along and analyzed by DHS officials. 

The newsletter also revealed HSINs were at College Football Playoff games that year and have been in years since. There was no mention of video surveillance at Ohio State back in 2015. But in 2019, that capability was tested at Georgia Tech. 

There, police used “HSIN Connect to share live video streams with public safety partners.” 

A 2019 internal newsletter quoted a Georgia Tech police officer about the use of real-time video surveillance on game days, both from stationary cameras and cell phones.

“The mobile app for HSIN Connect also allows officials to provide multiple, simultaneous live video streams back to our Operations Center across a secure platform,” the department said.

Ohio State told FOIAball that it no longer uses HSIN for events or incidents. However, it declined to answer questions about surveilling protesters or football games.

Ohio State’s records department said that it did not have any documents relating to the use of HSIN or sharing video feeds with DHS. 

Georgia Tech’s records office told FOIAball that HSINs had not been used in years and claimed it was “only used as a tool to share screens internally." Its communications team did not respond to a request to clarify that comment.

Years later, DHS had eyes both on the ground and in the sky at college football. 

According to the 2023 annual review, HSIN Connect operated during University of Central Florida home games that season. There, both security camera and drone detection system feeds were looped into the platform in real-time.

DHS said that the "success at UCF's football games hints at a broader application in emergency management.” 

HSIN has in recent years been hooked into facial recognition systems.

A 2024 report from the U.S. Commission on Civil Rights found that the U.S. Marshals were granted access to HSIN, where they requested "indirect facial recognition searches through state and local entities" using Clearview AI. 

Which brings us to the Egg Bowl—the annual rivalry game between Ole Miss and Mississippi State. 

FOIAball learned about the presence of HSIN at Ole Miss through a records request to the city’s police department. It shared Event Action Plans for the Rebels’ games on Nov. 9, 2024 against Georgia and Nov. 30, 2024 against Mississippi State.

It’s unclear how these partnerships are forged. 

In videos discussing HSIN, DHS officials have highlighted their outreach to law enforcement, talking about how they want agencies onboarded and trained on the platform. No schools mentioned in this article answered questions about how their relationship with DHS started.

The Event Action Plan provides a fascinating level of detail that shows what goes into security planning for a college football game, from operations meetings that start on Tuesday to safety debriefs the following Monday. 

Its timeline of events discusses when Ole Miss’s Vaught-Hemingway Stadium is locked down and when security sweeps are conducted. Maps detail where students congregate beforehand and where security guards are posted during games. 

The document includes contingency plans for extreme heat, lightning, active threats, and protesters. It also includes specific scripts for public service announcers to read in the event of any of those incidents. 

It shows at least 11 different law enforcement agencies are on the ground on game days, from school cops to state police.

They even have the U.S. military on call. The 47th Civil Support Team, based out of Jackson Air National Guard Base, is ready to respond to a chemical, biological, or nuclear attack. 

All those agencies are steered via the document to the HSIN platform. 

Under a section on communications, it lists the HSIN Sitroom, which is “Available to all partners and stakeholders via computer & cell phone.”

The document includes a link to an HSIN Connect page.

It uses Eli Manning as an example of how to log in. 

“Ole Miss Emergency Management - Log in as a Guest and use a conventional naming convention such as: ‘Eli Manning - Athletics.’”

On the document, it notes that the HSIN hosts sensitive Personally Identifiable Information (PII) and Threat Analysis Documents. 

“Access is granted on a need-to-know basis, users will need to be approved prior to entry into the SitRoom.”

“The general public and general University Community is not permitted to enter the online SitRoom,” it adds. “All SitRooms contain operationally sensitive information and PII, therefore access must be granted by the ‘Host’.”

It details what can be accessed in the HSIN, such as a chat window for relaying information.

It includes a section on Threat Analysis, which DHS says is conducted through large-scale media monitoring.

The document does not detail whether the HSIN used at Ole Miss has access to surveillance cameras across campus. 

But that may not be something explicitly stated in documents such as these. 

Like Ohio State, UCF told FOIAball that it had no memoranda of understanding or documentation about providing access to video feeds to HSINs, despite DHS acknowledging those streams were shared. Ole Miss’ records department also did not provide any documents on what campus cameras may have been shared with DHS. 

While one might assume the feeds go dark after the game is over, there exists the very real possibility that by being tapped in once, DHS can easily access them again. 

“I’m worried about mission creep,” Matthew Guariglia, a senior policy analyst at the Electronic Frontier Foundation, told FOIAball. “These arrangements are made for very specific purposes. But they could become the apparatus of much greater state surveillance.” 

For Ole Miss, its game against Georgia went off without any major incidents. 

Well, save for one. 

During the second quarter, a squirrel jumped onto the field, and play had to be stopped. 

In the EAP, there was no announcer script for handling a live animal interruption.

Chicagoans have turned to a novel piece of tech that marries the old-school with the new to warn their communities about the presence of ICE officials: 3D-printed whistles.

The goal is to “prevent as many people from being kidnapped as possible,” Aaron Tsui, an activist with Chicago-based organization Cycling Solidarity, and who has been printing whistles, told 404 Media. “Whistles are an easy way to bring awareness for when ICE is in the area, printing out the whistles is something simple that I can do in order to help bring awareness.”

Over the last couple months ICE has especially focused on Chicago as part of Operation Midway Blitz. During that time, Department of Homeland Security (DHS) personnel have shot a religious leader in the head, repeatedly violated court orders limiting the use of force, and even entered a daycare facility to detain someone.

3D printers have been around for years, with hobbyists using them for everything from car parts to kids’ toys. In media articles they are probably most commonly associated with 3D-printed firearms.

One of the main attractions of 3D printers is that they squarely put the means of production into the hands of essentially anyone who is able to buy or access a printer. There’s no need to set up a complex supply chain of material providers or manufacturers. No worry about a store refusing to sell you an item for whatever reason. Instead, users just print at home, and can do so very quickly, sometimes in a matter of minutes. The price of printers has decreased dramatically over the last 10 years, with some costing a few hundred dollars.

People who are printing whistles in Chicago either create their own design or are given or download a design someone else made. Resident Justin Schuh made his own. That design includes instructions on how to best use the whistle—three short blasts to signal ICE is nearby, and three long ones for a “code red.” The whistle also includes the phone number for the Illinois Coalition for Immigrant & Refugee Rights (ICIRR) hotline, which people can call to connect with an immigration attorney or receive other assistance. Schuh said he didn’t know if anyone else had printed his design specifically, but he said he has “designed and printed some different variations, when someone local has asked for something specific to their group.” The Printables page for Schuh’s design says it has been downloaded nearly two dozen times.

In a landmark case for Danish courts and internationally, a man was sentenced to seven months’ suspended imprisonment and 120 hours of community service for posting nude scenes from copyrighted films.

He’s convicted of “gross violations of copyright, including violating the right of publicity of more than 100 aggrieved female actors relating to their artistic integrity,” Danish police reported Monday.

The man, a 40-year-old from Denmark who was a prolific Redditor under the username “KlammereFyr” (which translates to “NastierGuy”) was arrested and charged with copyright infringement in September 2024 by Denmark’s National Unit for Serious Crime (NSK). 

It’s that time again! We’re planning our latest FOIA Forum, a live, hour-long or more interactive session where Joseph and Jason will teach you how to pry records from government agencies through public records requests. We’re planning this for Wednesday, November 19th at 1 PM Eastern. That's in just over a week away! Add it to your calendar! 

This time we're focused on our coverage of Flock, the automatic license plate reader (ALPR) and surveillance tech company. Earlier this year anonymous researchers had the great idea of asking agencies for the network audit which shows why cops were using these cameras. Following that, we did a bunch of coverage, including showing that local police were performing lookups for ICE in Flock's nationwide network of cameras, and that a cop in Texas searched the country for a woman who self-administered an abortion. We'll tell you how all of this came about, what other requests people did after, and what requests we're exploring at the moment with Flock.

If this will be your first FOIA Forum, don’t worry, we will do a quick primer on how to file requests (although if you do want to watch our previous FOIA Forums, the video archive is here). We really love talking directly to our community about something we are obsessed with (getting documents from governments) and showing other people how to do it too.

Paid subscribers can already find the link to join the livestream below. We'll also send out a reminder a day or so before. Not a subscriber yet? Sign up now here in time to join.

We've got a bunch of FOIAs that we need to file and are keen to hear from you all on what you want to see more of. Most of all, we want to teach you how to make your own too. Please consider coming along!

Ypsilanti, Michigan resident KJ Pedri doesn’t want her town to be the site of a new $1.2 billion data center, a massive collaborative project between the University of Michigan and America’s nuclear weapons scientists at Los Alamos National Laboratories (LANL) in New Mexico.

“My grandfather was a rocket scientist who worked on Trinity,” Pedri said at a recent Ypsilanti city council meeting, referring to the first successful detonation of a nuclear bomb. “He died a violent, lonely, alcoholic. So when I think about the jobs the data center will bring to our area, I think about the impact of introducing nuclear technology to the world and deploying it on civilians. And the impact that that had on my family, the impact on the health and well-being of my family from living next to a nuclear test site and the spiritual impact that it had on my family for generations. This project is furthering inhumanity, this project is furthering destruction, and we don’t need more nuclear weapons built by our citizens.”

At the Ypsilanti city council meeting where Pedri spoke, the town voted to officially fight against the construction of the data center. The University of Michigan says the project is not a data center, but a “high-performance computing facility” and it promises it won’t be used to “manufacture nuclear weapons.” The distinction and assertion are ringing hollow for Ypsilanti residents who oppose construction of the data center, have questions about what it would mean for the environment and the power grid, and want to know why a nuclear weapons lab 24 hours away by car wants to build an AI facility in their small town.

“What I think galls me the most is that this major institution in our community, which has done numerous wonderful things, is making decisions with—as I can tell—no consideration for its host community and no consideration for its neighboring jurisdictions,” Ypsilanti councilman Patrick McLean said during a recent council meeting. “I think the process of siting this facility stinks.”

For others on the council, the fight is more personal.

“I’m a Japanese American with strong ties to my family in Japan and the existential threat of nuclear weapons is not lost on me, as my family has been directly impacted,” Amber Fellows, a Ypsilanti city councilmember who led the charge in opposition to the data center, told 404 Media. “The thing that is most troubling about this is that the nuclear weapons that we, as Americans, witnessed 80 years ago are still being proliferated and modernized without question.”

It’s a classic David and Goliath story. On one side is Ypsilanti (called Ypsi by its residents), which has a population just north of 20,000 and situated about 40 minutes outside of Detroit. On the other is the University of Michigan and Los Alamos National Laboratories (LANL), American scientists famous for nuclear weapons and, lately, pushing the boundaries of AI.

The University of Michigan first announced the Los Alamos data center, what it called an “AI research facility,” last year. According to a press release from the university, the data center will cost $1.25 billion and take up between 220,000 to 240,000 square feet. “The university is currently assessing the viability of locating the facility in Ypsilanti Township,” the press release said.

On October 21, the Ypsilanti City Council considered a proposal to officially oppose the data center and the people of the area explained why they wanted it passed. One woman cited environmental and ethical concerns. “Third is the moral problem of having our city resources towards aiding the development of nuclear arms,” she said. “The city of Ypsilanti has a good track record of being on the right side of history and, more often than not, does the right thing. If this resolution passed, it would be a continuation of that tradition.”

A man worried about what the facility would do to the physical health of citizens and talked about what happened in other communities where data centers were built. “People have poisoned air and poisoned water and are getting headaches from the generators,” he said. “There’s also reports around the country of energy bills skyrocketing when data centers come in. There’s also reports around the country of local grids becoming much less reliable when the data centers come in…we don’t need to see what it’s like to have a data center in Ypsi. We could just not do that.”

The resolution passed. “The Ypsilanti City Council strongly opposes the Los Alamos-University of Michigan data center due to its connections to nuclear weapons modernization and potential environmental harms and calls for a complete and permanent cessation of all efforts to build this data center in any form,” the resolution said.

Ypsi has a lot of reasons to be concerned. Data centers tend to bring rising power bills, horrible noise, and dwindling drinking water to every community they touch. “The fact that U of M is using Ypsilanti as a dumping ground, a sacrifice zone, is unacceptable,” Fellows said.

Ypsi’s resolution focused on a different angle though: nuclear weapons. “The Ypsilanti City Council strongly opposes the Los Alamos-University of Michigan data center due to its connections to nuclear weapons modernization and potential environmental harms and calls for a complete and permanent cessation of all efforts to build this data center in any form,” the resolution said.

As part of the resolution, Ypsilanti is applying to join the Mayors for Peace initiative, an international organization of cities opposed to nuclear weapons and founded by the former mayor of Hiroshima. Fellows learned about Mayors for Peace when she visited Hiroshima last year.

Both LANL and the University of Michigan have been vague about what the data center will be used for, but have said it will include one facility for classified federal research and another for non-classified research which students and faculty will have access to. “Applications include the discovery and design of new materials, calculations on climate preparedness and sustainability,” it said in an FAQ about the data center. “Industries such as mobility, national security, aerospace, life sciences and finance can benefit from advanced modeling and simulation capabilities.”

The university FAQ said that the data center will not be used to manufacture nuclear weapons. “Manufacturing” nuclear weapons specifically refers to their creation, something that’s hard to do and only occurs at a handful of specialized facilities across America. I asked both LANL and the University of Michigan if the data generated by the facility would be used in nuclear weapons science in any way. Neither answered the question.

“The federal facility is for research and high-performance computing,” the FAQ said. “It will focus on scientific computation to address various national challenges, including cybersecurity, nuclear and other emerging threats, biohazards, and clean energy solutions.”

LANL is going all in on AI. It partnered with OpenAI to use the company’s frontier models in research and recently announced a partnership with NVIDIA to build two new super computers named “Mission” and “Vision.” It’s true that LANL’s scientific output covers a range of issues but its overwhelming focus, and budget allocation, is nuclear weapons. LANL requested a budget of $5.79 billion in 2026. 84 percent of that is earmarked for nuclear weapons. Only $40 million of the LANL budget is set aside for “science,” according to government documents. 

“The fact is we don’t really know because Los Alamos and U of M are unwilling to spell out exactly what’s going to happen,” Fellows said. When LANL declined to comment for this story, it told 404 Media to direct its question to the University of Michigan.

The university pointed 404 Media to the FAQ page about the project. “You'll see in the FAQs that the locations being considered are not within the city of Ypsilanti,” it said.

It’s an odd statement given that this is what’s in the FAQ: “The university is currently assessing the viability of locating the facility in Ypsilanti Township on the north side of Textile Road, directly across the street from the Ford Rawsonville Components plant and adjacent to the LG Energy Solutions plant.”

It’s true that this is not technically in the city of Ypsilanti but rather Ypsilanti Township, a collection of communities that almost entirely surrounds the city itself. For Fellows, it’s a distinction without a difference. “[Univeristy of Michigan] can build it in Barton Hills and see how the city of Ann Arbor feels about it,” she said, referencing a village that borders the township where the university's home city of Ann Arbor.

“The university has, and will continue to, explore other sites if they are viable in the timeframe needed for successful completion of the project,” Kay Jarvis, the university’s director of public affairs, told 404 Media.

Fellows said that Ypsilanti will fight the data center with everything it has. “We’re putting pressure on the Ypsi township board to use whatever tools they have to deny permits…and to stand up for their community,” she said. “We’re also putting pressure on the U of M board of trustees, the county, our state legislature that approved these projects and funded them with public funds. We’re identifying all the different entities that have made this project possible so far and putting pressure on them to reverse action.”

For Fellows, the fight is existential. It’s not just about the environmental concerns around the construction project. “I was under the belief that the prevailing consensus was that nuclear weapons are wrong and they should be drawn down as fast as possible. I’m trying to use what little power I have to work towards that goal,” she said.

If you’ve been to a national park in the U.S. recently, you might have noticed some odd new signs about “beauty” and “grandeur.” Or, some signs you were used to seeing might now be missing completely. An executive order issued earlier this year put the history and educational aspects of the parks system under threat–but a group of librarians stepped in to save it. 

This week we have a conversation between Sam and two of the leaders of the independent volunteer archiving project Save Our Signs, an effort to archive national park signs and monument placards. It’s a community collaboration project co-founded by a group of librarians, public historians, and data experts in partnership with the Data Rescue Project and Safeguarding Research & Culture. 

Lynda Kellam leads the Research Data and Digital Scholarship team at the University of Pennsylvania Libraries and is a founding organizer of the Data Rescue Project. Jenny McBurney is the Government Publications Librarian and Regional Depository Coordinator at the University of Minnesota Libraries. In this episode, they discuss turning “frustration, dismay and disbelief” at parks history under threat into action: compiling more than 10,000 images from over 300 national parks into a database to be preserved for the people.

Listen to the weekly podcast on Apple Podcasts, Spotify, or YouTube. 

Become a paid subscriber for early access to these interview episodes 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.

• ‘Save Our Signs’ Archive and Submission Site
• 'Save Our Signs' Wants to Save the Real History of National Parks Before Trump Erases It
• ‘Save Our Signs’ Preservation Project Launches Archive of 10,000 National Park Signs
• Archivists Work to Identify and Save the Thousands of Datasets Disappearing From Data.gov

Welcome back to the Abstract! Here are the studies this week that took a bite out of life, appealed to the death drive, gave a yellow light to the universe, and produced hitherto unknown levels of cute.

First, it’s the most epic ocean battle: orcas versus sharks (pro tip: you don’t want to be sharks). Then, a scientific approach to apocalyptic ideation; curbing cosmic enthusiasm; and last, the wonderful world of tadpole-less toads.

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. 

Now, to the feast! 

I guess that’s why they call them killer whales

Higuera-Rivas, Jesús Erick et al. “Novel evidence of interaction between killer whales (Orcinus orca) and juvenile white sharks (Carcharodon carcharias) in the Gulf of California, Mexico.” Frontiers in Marine Science.

Orcas kill young great white sharks by flipping them upside down and tearing their livers out of their bellies, which they then eat family-style, according to a new study that includes new footage of these Promethean interactions in Mexican waters.

“Here we document novel repeated predations by killer whales on juvenile white sharks in the Gulf of California,” said researchers led by Jesús Erick Higuera Rivas of the non-profit Pelagic Protection and Conservation AC. 

“Aerial videos indicate consistency in killer whales’ repeated assaults and strikes on the sharks,” the team added. “Once extirpated from the prey body, the target organ is shared between the members of the pods including calves.”

I’ll give you a beat to let that sink in, like orca teeth on the belly of a shark. While it's well-established that orcas are the only known predator of great white sharks aside from humans, the new study is only the second glimpse of killer whales targeting juvenile sharks. 

This group of orcas, known as Moctezuma’s pod, has developed an effective strategy of working together to flip the sharks over, which interrupts the sharks’ sensory system and puts them into a state called tonic immobility. The authors describe the pod’s work as methodical and well coordinated.

“Our evidence undoubtedly shows consistency in the repeated assaults and strikes, indicating efficient maneuvering ability by the killer whales in attempting to turn the shark upside down, likely to induce tonic immobility and allow uninterrupted access to the organs for consumption, " the team said. Previous reports suggest that “the lack of bite marks or injuries anywhere other than the pectoral fins shows a novel and specialized technique of accessing the liver of the shark with minimal handling of each individual.”  

An orca attacking a juvenile great white shark. Image: Marco Villegas 

Sharks, by the way, do not attack orcas. Just the opposite. As you can imagine based on the horrors you have just read, sharks are so petrified of killer whales that they book it whenever they sense a nearby pod.

“Adult white sharks exhibit a memory and previous knowledge about killer whales, which enables them to activate an avoidance mechanism through behavioral risk effects; a ‘fear’- induced mass exodus from aggregations sites,” the team said. “This response may preclude repeated successful predation on adult white sharks by killer whales.”

In other words, if you’re a shark, one encounter with orcas is enough to make you watch your dorsal side for life—assuming you were lucky enough to escape with it. 

In other news…

Apocalypse now plz

Albrecht, Rudolf et al. “Geopolitical, Socio-Economic and Legal Aspects of the 2024PDC25 Event.” Acta Astronautica.

You may have seen the doomer humor meme to “send the asteroid already,” a plea for sweet cosmic relief that fits our beleaguered times. As it turns out, some scientists engage in this type of apocalyptic wish fulfillment professionally. 

Planetary defense experts often participate in drills involving fictional hazardous asteroids, such as the 2024PDC25, a virtual object “discovered” at the 2025 Planetary Defense Conference. In that simulation, 2024PDC25 had a possible impact date in 2041.

Now a team has used that exercise as a jumping off point to explore what might happen if it hit even earlier, channeling that “send the asteroid already” energy.. The researchers used this time-crunched scenario to speculate about the effect on geopolitics and pivotal events, such as the 2028 US Presidential elections.

“As it is very difficult to extrapolate from 2025 across 16 years in this ‘what-if’ exercise, we decided to bring the scenario forward to 2031 and examine it with today’s global background,” Rudolf Albrecht of the Austrian Space Forum. “Today would be T-6 years and the threat is becoming immediate.”

As the astro-doomers would say: Finally some good news.

Big dark energy

Son, Junhyuk et al. “Strong progenitor age bias in supernova cosmology – II. Alignment with DESI BAO and signs of a non-accelerating universe.” Monthly Notices of the Royal Astronomical Society.

First, we discovered the universe was expanding. Then, we discovered it was expanding at an accelerating rate. Now, a new study suggests that this acceleration might be slowing down. Universe, make up your mind!

But seriously, the possibility that the rate of cosmic expansion is slowing is a big deal, because dark energy—the term for whatever is making the universe expand—was assumed to be a constant for decades. But this consensus has been challenged by observations from the Dark Energy Spectroscopic Instrument (DESI) in Arizona, which became operational in 2021. In its first surveys, DESI’s observations have pointed to an expansion rate that is not fixed, but in flux.

Together with past results, the study “suggests that dark energy may no longer be a cosmological constant” and “our analysis raises the possibility that the present universe is no longer in a state of accelerated expansion,” said researchers led by Junhyuk Son of Yonsei University. “This provides a fundamentally new perspective that challenges the two central pillars of the [cold dark matter] standard cosmological model proposed 27 years ago.”

It will take more research to constrain this mystery, but for now it’s a reminder that the universe loves to surprise.

And the award for most squee goes to…

Thrane, Christian et al. “Museomics and integrative taxonomy reveal three new species of glandular viviparous tree toads (Nectophrynoides) in Tanzania’s Eastern Arc Mountains (Anura: Bufonidae).” Vertebrate Zoology

We’ll end, as all things should, with toadlets. Most frogs and toads reproduce by laying eggs that hatch into tadpoles, but scientists have discovered three new species of toad in Tanzania that give birth to live young—a very rare adaptation for any amphibian, known as ovoviviparity. The scientific term for these youngsters is in fact “toadlet.” Gods be good.

“We describe three new species from the Nectophrynoides viviparus species complex, covering the southern Eastern Arc Mountains populations,” said researchers led by Christian Thrane of the University of Copenhagen. One of the new species included “the observation of toadlets, suggesting that this species is ovoviviparous.”

Note to Nintendo: please make a very tiny Toadlet into a Mario Kart racer.

Thanks for reading! See you next week.

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 archiving to get around paywalls, hating on smart glasses, and more.

JASON: I was going to try to twist myself into knots attempting to explain the throughline between my articles this week, and about how I’ve been thinking about the news and our coverage more broadly. This was going to be something about trying to promote analog media and distinctly human ways of communicating (like film photography), while highlighting the very bad economic and political incentives pushing us toward fundamentally dehumanizing, anti-human methods of communicating. Like fully automated, highly customized and targeted AI ads, automated library software, and I guess whatever Nancy Pelosi has been doing with her stock portfolio. But then I remembered that I blogged about the FBI’s subpoena against archive.is, a website I feel very ambivalent about and one that is the subject of perhaps my most cringe blog of all time.

So let’s revisit that cringe blog, which was called “Dear GamerGate: Please Stop Stealing Our Shit.” I wrote this article in 2014, which was fully 11 years ago, which is alarming to me. First things first: They were not stealing from me they were stealing from VICE, a company that I did not actually experience financial gains from related to people reading articles; it was good if people read my articles and traffic was very important, and getting traffic over time led to me getting raises and promotions and stuff, but the company made very, very clear that we did not “own” the articles and therefore they were not “mine” in the way that they are now. With that out of the way, the reporting and general reason for the article was I think good but the tone of it is kind of wildly off, and, as I mentioned, over the course of many years I have now come to regard archive.is as sort of an integral archiving tool. If you are unfamiliar with archive.is, it’s a site that takes snapshots of any URL and creates a new link for them which, notably, does not go to the original website. Archive.is is extremely well known for bypassing the paywalls on many sites, 404 Media sometimes but not usually among them. 

Social media accounts on TikTok and X are posting AI-generated videos of women and girls being strangled, showing yet another example of generative AI companies failing to prevent users from creating media that violates their own policies against violent content. 

One account on X has been posting dozens of AI-generated strangulation videos starting in mid-October. The videos are usually 10 seconds long and mostly feature a “teenage girl” being strangled, crying, and struggling to resist until her eyes close and she falls to the ground. Some titles for the videos include: “A Teenage Girl Cheerleader Was Strangled As She Was Distressed,” “Prep School Girls Were Strangled By The Murderer!” and “man strangled a high school cheerleader with a purse strap which is crazy.”

After a decade-long excavation at a remote site in Kenya, scientists have unearthed evidence that our early human relatives continuously fashioned the same tools across thousands of generations, hinting that sophisticated tool use may have originated much earlier than previously known, according to a new study in Nature Communications.

The discovery of nearly 1,300 artifacts—with ages that span 2.44 to 2.75 million years old—reveals that the influential Oldowan tool-making tradition existed across at least 300,000 years of turbulent environmental shifts. The wealth of new tools from Kenya’s Namorotukunan site suggest that their makers adapted to major environmental changes in part by passing technological knowledge down through the ages.

“The question was: did they generally just reinvent the [Oldowan tradition] over and over again? That made a lot of sense when you had a record that was kind of sporadic,” said David R. Braun, a professor of anthropology at the George Washington University who led the study, in a call with 404 Media. 

“But the fact that we see so much similarity between 2.4 and 2.75 [million years ago] suggests that this is generally something that they do,” he continued. “Some of it may be passed down through social learning, like observation of others doing it. There’s some kind of tradition that continues on for this timeframe that would argue against this idea of just constantly reinventing the wheel.”

Oldowan tools, which date back at least 2.75 million years, are distinct from earlier traditions in part because hominins, the broader family to which humans belong, specifically sought out high-quality materials such as chert and quartz to craft sharp-edged cutting and digging tools. This advancement allowed them to butcher large animals, like hippos, and possibly dig for underground food sources.

When Braun and his colleagues began excavating at Namorotukunan in 2013, they found many artifacts made of chalcedony, a fine-grained rock that is typically associated with much later tool-making traditions. To the team’s surprise, the rocks were dated to periods as early as 2.75 million years ago, making them among the oldest artifacts in the Oldowan record. 

“Even though Oldowan technology is really just hitting one rock against the other, there's good and bad ways of doing it,” Braun explained. “So even though it's pretty simple, what they seem to be figuring out is where to hit the rock, and which angles to select. They seem to be getting a grip on that—not as well as later in time—but they're definitely getting an understanding at this timeframe.”

The excavation was difficult as it takes several days just to reach the remote offroad site, while much of the work involved tiptoing along steep outcrops. Braun joked that their auto mechanic lined up all the vehicle shocks that had been broken during the drive each season, as a testament to the challenge. 

But by the time the project finally concluded in 2022, the researchers had established that Oldowan tools were made at this site over the course of 300,000 years. During this span, the landscape of Namorotukunan shifted from lush humid forests to arid desert shrubland and back again. Despite these destabilizing shifts in their climate and biome, the hominins that made these tools endured in part because this technology opened up new food sources to them, such as the carcasses of large animals. 

“The whole landscape really shifts,” Braun said. “But hominins are able to basically ameliorate those rapid changes in the amount of rainfall and the vegetation around by using tools to adapt to what’s happening.”

“That's a human superpower—it’s that ability we have to keep this information stored in our collective heads, so that when new challenges show up, there's somebody in our group that remembers how to deal with this particular adaptation,” he added.

It’s not clear exactly which species of hominin made the tools at Namorotukunan; it may have been early members of our own genus Homo, or other relatives, like Australopithecus afarensis, that later went extinct. Regardless, the discovery of such a long-lived and continuous assemblage may hint that the origins of these tools are much older than we currently know.

“I think that we're going to start to find tool use much earlier” perhaps “going back five, six, or seven million years,” Braun said. “That’s total speculation. I've got no evidence that that's the case. But judging from what primates do, I don't really understand why we wouldn't see it.” 

To that end, the researchers plan to continue excavating these bygone landscapes to search for more artifacts and hominin remains that could shed light on the identity of these tool makers, probing the origins of these early technologies that eventually led to humanity’s dominance on the planet.

“It's possible that this tool use is so diverse and so different from our expectations that we have blinders on,” Braun concluded. “We have to open our search for what tool use looks like, and then we might start to see that they're actually doing a lot more of it than we thought they were.”

Nancy Pelosi, one of Wall Street’s all time great investors, announced her retirement Thursday.

Pelosi, so known for her ability to outpace the S&P 500 that dozens of websites and apps spawned to track her seeming preternatural ability to make smart stock trades, said she will retire after the 2024-2026 season. Pelosi’s trades over the years, many done through her husband and investing partner Paul Pelosi, have been so good that an entire startup, called Autopilot, was started to allow investors to directly mirror Pelosi’s portfolio. 

According to the site, more than 3 million people have invested more than $1 billion using the app. After 38 years, Pelosi will retire from the league—a somewhat normal career length as investors, especially on Pelosi’s team, have decided to stretch their careers later and later into their lives. 

The numbers put up by Pelosi in her Hall of Fame career are undeniable. Over the last decade, Pelosi’s portfolio returned an incredible 816 percent, according to public disclosure records. The S&P 500, meanwhile, has returned roughly 229 percent. Awe-inspired fans and analysts theorized that her almost omniscient ability to make correct, seemingly high-risk stock decisions may have stemmed from decades spent analyzing and perhaps even predicting decisions that would be made by the federal government that could impact companies’ stock prices. For example, Paul Pelosi sold $500,000 worth of Visa stock in July, weeks before the U.S. government announced a civil lawsuit against the company, causing its stock price to decrease.  

Besides Autopilot and numerous Pelosi stock trade trackers, there have also been several exchange traded funds (ETFs) set up that allow investors to directly copy their portfolio on Pelosi and her trades. Related funds, such as The Subversive Democratic Trading ETF (NANC, for Nancy), set up by the Unusual Whales investment news Twitter account, seek to allow investors to diversify their portfolios by tracking the trades of not just Pelosi but also some of her colleagues, including those on the other team, who have also proven to be highly gifted stock traders.

Fans of Pelosi spent much of Thursday admiring her career, and wondering what comes next: “Farewell to one of the greatest investors of all time,” the top post on Reddit’s Wall Street Bets community reads. The sentiment has more than 24,000 upvotes at the time of publication. Fans will spend years debating in bars whether Pelosi was the GOAT; some investors have noted that in recent years, some of her contemporaries, like Marjorie Taylor-Green, Ro Khanna, and Michael McCaul, have put up gaudier numbers. There are others who say the league needs reformation, with some of Pelosi’s colleagues saying they should stop playing at all, and many fans agreeing with that sentiment. Despite the controversy, many of her colleagues have committed to continue playing the game.

Pelosi said Thursday that this season would be her last, but like other legends who have gone out on top, it seems she is giving it her all until the end. Just weeks ago, she sold between $100,000 and $250,000 of Apple stock, according to a public box score.

“We can be proud of what we have accomplished,” Pelosi said in a video announcing her retirement. “But there’s always much more work to be done.”

This story was reported with support from the MuckRock Foundation.

Last month, a company called the Children’s Literature Comprehensive Database announced a new version of a product called Class-Shelf Plus. The software, which is used by school libraries to keep track of which books are in their catalog, added several new features including “AI-driven automation and contextual risk analysis,” which includes an AI-powered “sensitive material marker” and a “traffic-light risk ratings” system. The company says that it believes this software will streamline the arduous task school libraries face when trying to comply with legislation that bans certain books and curricula: “Districts using Class-Shelf Plus v3 may reduce manual review workloads by more than 80%, empowering media specialists and administrators to devote more time to instructional priorities rather than compliance checks,” it said in a press release.

In a white paper published by CLCD, it gave a “real-world example: the role of CLCD in overcoming a book ban.” The paper then describes something that does not sound like “overcoming” a book ban at all. CLCD’s software simply suggested other books “without the contested content.” 

Ajay Gupte, the president of CLCD, told 404 Media the software is simply being piloted at the moment, but that it  “allows districts to make the majority of their classroom collections publicly visible—supporting transparency and access—while helping them identify a small subset of titles that might require review under state guidelines.” He added that “This process is designed to assist districts in meeting legislative requirements and protect teachers and librarians from accusations of bias or non-compliance [...] It is purpose-built to help educators defend their collections with clear, data-driven evidence rather than subjective opinion.”

Librarians told 404 Media that AI library software like this is just the tip of the iceberg; they are being inundated with new pitches for AI library tech and catalogs are being flooded with AI slop books that they need to wade through. But more broadly, AI maximalism across society is supercharging the ideological war on libraries, schools, government workers, and academics.

CLCD and Class Shelf Plus is a small but instructive example of something that librarians and educators have been telling me: The boosting of artificial intelligence by big technology firms, big financial firms, and government agencies is not separate from book bans, educational censorship efforts, and the war on education, libraries, and government workers being pushed by groups like the Heritage Foundation and any number of MAGA groups across the United States. This long-running war on knowledge and expertise has sown the ground for the narratives widely used by AI companies and the CEOs adopting it. Human labor, inquiry, creativity, and expertise is spurned in the name of “efficiency.” With AI, there is no need for human expertise because anything can be learned, approximated, or created in seconds. And with AI, there is less room for nuance in things like classifying or tagging books to comply with laws; an LLM or a machine algorithm can decide whether content is “sensitive.”

“I see something like this, and it’s presented as very value neutral, like, ‘Here’s something that is going to make life easier for you because you have all these books you need to review,’” Jaime Taylor, discovery & resource management systems coordinator for the W.E.B. Du Bois Library at the University of Massachusetts told me in a phone call. “And I look at this and immediately I am seeing a tool that’s going to be used for censorship because this large language model is ingesting all the titles you have, evaluating them somehow, and then it might spit out an inaccurate evaluation. Or it might spit out an accurate evaluation and then a strapped-for-time librarian or teacher will take whatever it spits out and weed their collections based on it. It’s going to be used to remove books from collections that are about queerness or sexuality or race or history. But institutions are going to buy this product because they have a mandate from state legislatures to do this, or maybe they want to do this, right?”

The resurgent war on knowledge, academics, expertise, and critical thinking that AI is currently supercharging has its roots in the hugely successful recent war on “critical race theory,” “diversity equity and inclusion,” and LGBTQ+ rights that painted librarians, teachers, scientists, and public workers as untrustworthy. This has played out across the board, with a seemingly endless number of ways in which the AI boom directly intersects with the right’s war on libraries, schools, academics, and government workers. There are DOGE’s mass layoffs of “woke” government workers, and the plan to replace them with AI agents and supposed AI-powered efficiencies. There are “parents rights” groups that pushed to ban books and curricula that deal with the teaching of slavery, systemic racism, and LGBTQ+ issues and attempted to replace them with homogenous curricula and “approved” books that teach one specific type of American history and American values; and there are the AI tools that have been altered to not be “woke” and to reenforce the types of things the administration wants you to think. Many teachers feel they are not allowed to teach about slavery or racism and increasingly spend their days grading student essays that were actually written by robots.

“One thing that I try to make clear any time I talk about book bans is that it’s not about the books, it’s about deputizing bigots to do the ugly work of defunding all of our public institutions of learning,” Maggie Tokuda-Hall, a cofounder of Authors Against Book Bans, told me. “The current proliferation of AI that we see particularly in the library and education spaces would not be possible at the speed and scale that is happening without the precedent of book bans leading into it. They are very comfortable bedfellows because once you have created a culture in which all expertise is denigrated and removed from the equation and considered nonessential, you create the circumstances in which AI can flourish.”

Justin, a cohost of the podcast librarypunk, told me that the project of offloading cognitive capacity to AI continues apace: “Part of a fascist project to offload the work of thinking, especially the reflective kind of thinking that reading, study, and community engagement provide,” Justin said. “That kind of thinking cultivates empathy and challenges your assumptions. It's also something you have to practice. If we can offload that cognitive work, it's far too easy to become reflexive and hateful, while having a robot cheerleader telling you that you were right about everything all along.”

These two forces—the war on libraries, classrooms, and academics and AI boosterism—are not working in a vacuum. The Heritage Foundation’s right-wing agenda for remaking the federal government, Project 2025, talks about criminalizing teachers and librarians who “poison our own children” and pushing artificial intelligence into every corner of the government for data analysis and “waste, fraud, and abuse” detection. 

Librarians, teachers, and government workers have had to spend an increasing amount of their time and emotional bandwidth defending the work that they do, fighting against censorship efforts and dealing with the associated stress, harassment, and threats that come from fighting educational censorship. Meanwhile, they are separately dealing with an onslaught of AI slop and the top-down mandated AI-ification of their jobs; there are simply fewer and fewer hours to do what they actually want to be doing, which is helping patrons and students.

“The last five years of library work, of public service work has been a nightmare, with ongoing harassment and censorship efforts that you’re either experiencing directly or that you’re hearing from your other colleagues,” Alison Macrina, executive director of Library Freedom Project, told me in a phone interview. “And then in the last year-and-a-half or so, you add to it this enormous push for the AIfication of your library, and the enormous demands on your time. Now you have these already overworked public servants who are being expected to do even more because there’s an expectation to use AI, or that AI will do it for you. But they’re dealing with things like the influx of AI-generated books and other materials that are being pushed by vendors.” 

The future being pushed by both AI boosters and educational censors is one where access to information is tightly controlled. Children will not be allowed to read certain books or learn certain narratives. “Research” will be performed only through one of a select few artificial intelligence tools owned by AI giants which are uniformly aligned behind the Trump administration and which have gone to the ends of the earth to prevent their black box machines from spitting out “woke” answers lest they catch the ire of the administration. School boards and library boards, forced to comply with increasingly restrictive laws, funding cuts, and the threat of being defunded entirely, leap at the chance to be considered forward looking by embracing AI tools, or apply for grants from government groups like the Institute of Museum and Library Services (IMLS), which is increasingly giving out grants specifically to AI projects.

We previously reported that the ebook service Hoopla, used by many libraries, has been flooded with AI-generated books (the company has said it is trying to cull these from its catalog). In a recent survey of librarians, Macrina’s organization found that librarians are getting inundated with pitches from AI companies and are being pushed by their superiors to adopt AI: “People in the survey results kept talking about, like, I get 10 aggressive, pushy emails a day from vendors demanding that I implement their new AI product or try it, jump on a call. I mean, the burdens have become so much, I don’t even know how to summarize them.”

“Fascism and AI, whether or not they have the same goals, they sure are working to accelerate one another"

Macrina said that in response to Library Freedom Project’s recent survey, librarians said that misinformation and disinformation was their biggest concern. This came not just in the form of book bans and censorship but also in efforts to proactively put disinformation and right-wing talking points into libraries: “It’s not just about book bans, and library board takeovers, and the existing reactionary attacks on libraries. It’s also the effort to push more far-right material into libraries,” she said. “And then you have librarians who are experiencing a real existential crisis because they are getting asked by their jobs to promote [AI] tools that produce more misinformation. It's the most, like, emperor-has-no-clothes-type situation that I have ever witnessed.” 

Each person I spoke to for this article told me they could talk about the right-wing project to erode trust in expertise, and the way AI has amplified this effort, for hours. In writing this article, I realized that I could endlessly tie much of our reporting on attacks on civil society and human knowledge to the force multiplier that is AI and the AI maximalist political and economic project. One need look no further than Grokipedia as one of the many recent reminders of this effort—a project by the world’s richest man and perhaps its most powerful right-wing political figure to replace a crowdsourced, meticulously edited fount of human knowledge with a robotic imitation built to further his political project. 

Much of what we write about touches on this: The plan to replace government workers with AI, the general erosion of truth on social media, the rise of AI slop that “feels” true because it reinforces a particular political narrative but is not true, the fact that teachers feel like they are forced to allow their students to use AI. Justin, from librarypunk, said AI has given people “absolute impunity to ignore reality […] AI is a direct attack on the way we verify information: AI both creates fake sources and obscures its actual sources.”

That is the opposite of what librarians do, and teachers do, and scientists do, and experts do. But the political project to devalue the work these professionals do, and the incredible amount of money invested in pushing AI as a replacement for that human expertise, have worked in tandem to create a horrible situation for all of us.

“AI is an agreement machine, which is anathema to learning and critical thinking,” Tokuda-Hall said. Previously we have had experts like librarians and teachers to help them do these things, but they have been hamstrung and they’ve been attacked and kneecapped and we’ve created a culture in which their contribution is completely erased from society, which makes something like AI seem really appealing. It’s filling that vacuum.”

“Fascism and AI, whether or not they have the same goals, they sure are working to accelerate one another,” she added.

Automattic, the company that owns WordPress.com, is asking Automatic.CSS—a company that provides a CSS framework for WordPress page builders—to change its name amid public spats between Automattic founder Matt Mullenweg and Automatic.CSS creator Kevin Geary. Automattic has two T’s as a nod to Matt.

“As you know, our client owns and operates a wide range of software brands and services, including the very popular web building and hosting platform WordPress.com,” Jim Davis, an intellectual property attorney representing Automattic, wrote in a letter dated Oct. 30. 

The FBI is attempting to unmask the owner behind archive.today, a popular archiving site that is also regularly used to bypass paywalls on the internet and to avoid sending traffic to the original publishers of web content, according to a subpoena posted by the website. The FBI subpoena says it is part of a criminal investigation, though it does not provide any details about what alleged crime is being investigated. Archive.today is also popularly known by several of its mirrors, including archive.is and archive.ph.

A US Army website for its bases in Bavaria, Germany published a list of food banks in the area that could help soldiers and staff as part of its “Shutdown Guidance,” the subtext being that soldiers and base employees might need to obtain free food from German government services during the government shutdown.

Over the last few months 404 Media has covered some concerning but predictable uses for the Ray-Ban Meta glasses, which are equipped with a built-in camera, and for some models, AI. Aftermarket hobbyists have modified the glasses to add a facial recognition feature that could quietly dox whatever face a user is looking at, and they have been worn by CBP agents during the immigration raids that have come to define a new low for human rights in the United States. Most recently, exploitative Instagram users filmed themselves asking workers at massage parlors for sex and shared those videos online, a practice that experts told us put those workers’ lives at risk. 

404 Media reached out to Meta for comment for each of these stories, and in each case Meta’s rebuttal was a mind-bending argument: What is the difference between Meta’s Ray-Ban glasses and an iPhone, really, when you think about it?

“Curious, would this have been a story had they used the new iPhone?” a Meta spokesperson asked me in an email when I reached out for comment about the massage parlor story. 

Meta’s argument is that our recent stories about its glasses are not newsworthy because we wouldn’t bother writing them if the videos in question were filmed with an iPhone as opposed to a pair of smart glasses. Let’s ignore the fact that I would definitely still write my story about the massage parlor videos if they were filmed with an iPhone and “steelman” Meta’s provocative argument that glasses and a phone are essentially not meaningfully different objects. 

Meta’s Ray-Ban glasses and an iPhone are both equipped with a small camera that can record someone secretly. If anything, the iPhone can record more discreetly because unlike Meta’s Ray-Ban glasses it’s not equipped with an LED that lights up to indicate that it’s recording. This, Meta would argue, means that the glasses are by design more respectful of people’s privacy than an iPhone. 

Both are small electronic devices. Both can include various implementations of AI tools. Both are often black, and are made by one of the FAANG companies. Both items can be bought at a Best Buy. You get the point: There are too many similarities between the iPhone and Meta’s glasses to name them all here, just as one could strain to name infinite similarities between a table and an elephant if we chose to ignore the context that actually matters to a human being. 

Whenever we published one of these stories the response from commenters and on social media has been primarily anger and disgust with Meta’s glasses enabling the behavior we reported on and a rejection of the device as a concept entirely. This is not surprising to anyone who has covered technology long enough to remember the launch and quick collapse of Google Glass, so-called “glassholes,” and the device being banned from bars. 

There are two things Meta’s glasses have in common with Google Glass which also make it meaningfully different from an iPhone. The first is that the iPhone might not have a recording light, but in order to record something or take a picture, a user has to take it out of their pocket and hold it out, an awkward gesture all of us have come to recognize in the almost two decades since the launch of the first iPhone. It is an unmistakable signal that someone is recording. That is not the case with Meta’s glasses, which are meant to be worn as a normal pair of glasses, and are always pointing at something or someone if you see someone wearing them in public. 

In fact, the entire motivation for building these glasses is that they are discreet and seamlessly integrate into your life. The point of putting a camera in the glasses is that it eliminates the need to take an iPhone out of your pocket. People working in the augmented reality and virtual reality space have talked about this for decades. In Meta’s own promotional video for the Meta Ray-Ban Display glasses, titled “10 years in the making,” the company shows Mark Zuckerberg on stage in 2016 saying that “over the next 10 years, the form factor is just going to keep getting smaller and smaller until, and eventually we’re going to have what looks like normal looking glasses.” And in 2020, “you see something awesome and you want to be able to share it without taking out your phone.” Meta's Ray-Ban glasses have not achieved their final form, but one thing that makes them different from Google Glass is that they are designed to look exactly like an iconic pair of glasses that people immediately recognize. People will probably notice the camera in the glasses, but they have been specifically designed to look like "normal” glasses.

Again, Meta would argue that the LED light solves this problem, but that leads me to the next important difference: Unlike the iPhone and other smartphones, one of the most widely adopted electronics in human history, only a tiny portion of the population has any idea what the fuck these glasses are. I have watched dozens of videos in which someone wearing Meta glasses is recording themselves harassing random people to boost engagement on Instagram or TikTok. Rarely do the people in the videos say anything about being recorded, and it’s very clear the women working at these massage parlors have no idea they’re being recorded. The Meta glasses have an LED light, sure, but these glasses are new, rare, and it’s not safe to assume everyone knows what that light means. 

As Joseph and Jason recently reported, there are also cheap ways to modify Meta glasses to prevent the recording light from turning on. Search results, Reddit discussions, and a number of products for sale on Amazon all show that many Meta glasses customers are searching for a way to circumvent the recording light, meaning that many people are buying them to do exactly what Meta claims is not a real issue. 

It is possible that in the future Meta glasses and similar devices will become so common that most people will understand that if they see them, they would assume they are being recorded, though that is not a future I hope for. Until then, if it is all helpful to the public relations team at Meta, these are what the glasses look like:

And this is what an iPhone looks like:

Feel free to refer to this handy guide when needed. 

We have something of a Meta Ray-Bans smart glasses bumper episode this week. We start with Joseph and Jason’s piece on a $60 mod that disables the privacy-protecting recording light in the smart glasses. After the break, Emanuel tells us how some people are abusing the glasses to film massage workers, and he explains the difference between a phone and a pair of smartglasses, if you need that spelled out for you. In the subscribers-only section, Jason tells us about the future of advertising: AI-generated ads personalized directly to you.

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.

• A $60 Mod to Meta’s Ray-Bans Disables Its Privacy-Protecting Recording Light
• Meta's Ray-Ban Glasses Users Film and Harass Massage Parlor Workers
• The Future of Advertising Is AI Generated Ads That Are Directly Personalized to You

Customs and Border Protection (CBP) has publicly released an app that Sheriff Offices, police departments, and other local or regional law enforcement can use to scan someone’s face as part of immigration enforcement, 404 Media has learned.

The news follows Immigration and Customs Enforcement’s (ICE) use of another internal Department of Homeland Security (DHS) app called Mobile Fortify that uses facial recognition to nearly instantly bring up someone’s name, date of birth, alien number, and whether they’ve been given an order of deportation. The new local law enforcement-focused app, called Mobile Identify, crystallizes one of the exact criticisms of DHS’s facial recognition app from privacy and surveillance experts: that this sort of powerful technology would trickle down to local enforcement, some of which have a history of making anti-immigrant comments or supporting inhumane treatment of detainees.

Handing “this powerful tech to police is like asking a 16-year old who just failed their drivers exams to pick a dozen classmates to hand car keys to,” Jake Laperruque, deputy director of the Center for Democracy & Technology's Security and Surveillance Project, told 404 Media. “These careless and cavalier uses of facial recognition are going to lead to U.S. citizens and lawful residents being grabbed off the street and placed in ICE detention.”

Most people probably have no idea that when you book a flight through major travel websites, a data broker owned by U.S. airlines then sells details about your flight, including your name, credit card used, and where you’re flying to the government. The data broker has compiled billions of ticketing records the government can search without a warrant or court order. The data broker is called the Airlines Reporting Corporation (ARC), and, as 404 Media has shown, it sells flight data to multiple parts of the Department of Homeland Security (DHS) and a host of other government agencies, while contractually demanding those agencies not reveal where the data came from.

It turns out, it is possible to opt-out of this data selling, including to government agencies. At least, that’s what I found when I ran through the steps to tell ARC to stop selling my personal data. Here’s how I did that:

1. I emailed privacy@arccorp.com and, not yet knowing the details of the process, simply said I wish to delete my personal data held by ARC.
2. A few hours later the company replied with some information and what I needed to do. ARC said it needed my full name (including middle name if applicable), the last four digits of the credit card number used to purchase air travel, and my residential address. 
3. I provided that information. The following month, ARC said it was unable to delete my data because “we and our service providers require it for legitimate business purposes.” The company did say it would not sell my data to any third parties, though. “However, even though we cannot delete your data, we can confirm that we will not sell your personal data to any third party for any reason, including, but not limited to, for profiling, direct marketing, statistical, scientific, or historical research purposes,” ARC said in an email.
4. I then followed up with ARC to ask specifically whether this included selling my travel data to the government. “Does the not selling of my data include not selling to government agencies as part of ARC’s Travel Intelligence Program or any other forms?” I wrote. The Travel Intelligence Program, or TIP, is the program ARC launched to sell data to the government. ARC updates it every day with the previous day’s ticket sales and it can show a person’s paid intent to travel.
5. A few days later, ARC replied. “Yes, we can confirm that not selling your data includes not selling to any third party, including, but not limited to, any government agency as part of ARC’s Travel Intelligence Program,” the company said.

Honestly, I was quite surprised at how smooth and clear this process was. ARC only registered as a data broker with the state of California—a legal requirement—in June, despite selling data for years. 

What I did was not a formal request under a specific piece of privacy legislation, such as the European Union’s General Data Privacy Regulation (GDPR) or the California Consumer Privacy Act (CCPA). Maybe a request to delete information under the CCPA would have more success; that law says California residents have the legal right to ask to have their personal data deleted “subject to certain exceptions (such as if the business is legally required to keep the information),” according to the California Department of Justice’s website.

ARC is owned and operated by at least eight major U.S. airlines, according to publicly released documents. Its board includes representatives from Delta, United, American Airlines, JetBlue, Alaska Airlines, Canada’s Air Canada, and European airlines Air France and Lufthansa. 

Public procurement records show agencies such as ICE, CBP, ATF, TSA, the SEC, the Secret Service, the State Department, the U.S. Marshals, and the IRS have purchased ARC data. Agencies have given no indication they use a search warrant or other legal mechanism to search the data. In response to inquiries from 404 Media, ATF said it follows “DOJ policy and appropriate legal processes” and the Secret Service declined to answer.

An ARC spokesperson previously told 404 Media in an email that TIP “was established by ARC after the September 11, 2001, terrorist attacks and has since been used by the U.S. intelligence and law enforcement community to support national security and prevent criminal activity with bipartisan support. Over the years, TIP has likely contributed to the prevention and apprehension of criminals involved in human trafficking, drug trafficking, money laundering, sex trafficking, national security threats, terrorism and other imminent threats of harm to the United States.” At the time, the spokesperson added “Pursuant to ARC’s privacy policy, consumers may ask ARC to refrain from selling their personal data.”

Kodak quietly acknowledged Monday that it will begin selling two famous types of film stock—Kodak Gold 200 and Kodak Ultramax 400—directly to retailers and distributors in the U.S., another indication that the historic company is taking back control over how people buy its film.

The release comes on the heels of Kodak announcing that it would make and sell two new stocks of film called Kodacolor 100 and Kodacolor 200 in October. On Monday, both Kodak Gold and Kodak Ultramax showed back up on Kodak’s website as film stocks that it makes and sells. When asked by 404 Media, a company spokesperson said that it has “launched” these film stocks and will begin to “sell the films directly to distributors in the U.S. and Canada, giving Kodak greater control over our participation in the consumer film market.”

Unlike Kodacolor, both Kodak Gold and Kodak Ultramax have been widely available to consumers for years, but the way it was distributed made little sense and was an artifact of its 2012 bankruptcy. Coming out of that bankruptcy, Eastman Kodak (the 133-year-old company) would continue to make film, but the exclusive rights to distribute and sell it were owned by a completely separate, UK-based company called Kodak Alaris. For the last decade, Kodak Alaris has sold Kodak Gold and Ultramax (as well as Portra, and a few other film stocks made by Eastman Kodak). This setup has been confusing for consumers and perhaps served as an incentive for Eastman Kodak to not experiment as much with the types of films it makes, considering that it would have to license distribution out to another company.

That all seemed to have changed with the recent announcement of Kodacolor 100 and Kodacolor 200, Kodak’s first new still film stocks in many years. Monday’s acknowledgement that both Kodak Gold and Ultramax would be sold directly by Eastman Kodak, and which come with a rebranded and redesigned box, suggests that the company has figured out how to wrest some control of its distribution away from Kodak Alaris. Eastman Kodak told 404 Media in a statement that it has “launched” these films and that they are “Kodak-marketed versions of existing films.”

 "Kodak will sell the films directly to distributors in the U.S. and Canada, giving Kodak greater control over our participation in the consumer film market,” a Kodak spokesperson said in an email. “This direct channel will provide distributors, retailers and consumers with a broader, more reliable supply and help create greater stability in a market where prices have often fluctuated.”

 The company called it an “extension of Kodak’s film portfolio,” which it said “is made possible by our recent investments that increased our film manufacturing capacity and, along with the introduction of our KODAK Super 8 Camera and KODAK EKTACHROME 100D Color Reversal Film, reflects Kodak’s ongoing commitment to meeting growing demand and supporting the long-term health of the film industry.”

It is probably too soon to say how big of a deal this is, but it is at least exciting for people who are in the resurgent film photography hobby, who are desperate for any sign that companies are interested in launching new products, creating new types of film, or building more production capacity in an industry where film shortages and price increases have been the norm for a few years.

Lawmakers have called on the Federal Trade Commission (FTC) to investigate Flock for allegedly violating federal law by not enforcing multi-factor authentication (MFA), according to a letter shared with 404 Media. The demand comes as a security researcher found Flock accounts for sale on a Russian cybercrime forum, and 404 Media found multiple instances of Flock-related credentials for government users in infostealer infections, potentially providing hackers or other third parties with access to at least parts of Flock’s surveillance network.

arXiv, a preprint publication for academic research that has become particularly important for AI research, has announced it will no longer accept computer science review articles and position papers. Why? A tide of AI slop has flooded the computer science category with low-effort papers that are “little more than annotated bibliographies, with no substantial discussion of open research issues,” according to a press release about the change.

arXiv has become a critical place for preprint and open access scientific research to be published. Many major scientific discoveries are published on arXiv before they finish the peer review process and are published in other, peer-reviewed journals. For that reason, it’s become an important place for new breaking discoveries and has become particularly important for research in fast-moving fields such as AI and machine learning (though there are also sometimes preprint, non-peer-reviewed papers there that get hyped but ultimately don’t pass peer review muster). The site is a repository of knowledge where academics upload PDFs of their latest research for public consumption. It publishes papers on physics, mathematics, biology, economics, statistics, and computer science and the research is vetted by moderators who are subject matter experts.

Review articles are overviews of a given topic that tend to be a summary of current research. Position papers are the academic equivalent of an opinion piece. It’s these two types of articles that arXiv is cracking down on.

Because of an onslaught of AI-generated research, specifically in the computer science (CS) section, arXiv is going to limit which papers can be published. “In the past few years, arXiv has been flooded with papers,” arXiv said in a press release. “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.”

The site noted that this was less a policy change and more about stepping up enforcement of old rules. “When submitting review articles or position papers, authors must include documentation of successful peer review to receive full consideration,” it said. “Review/survey articles or position papers submitted to arXiv without this documentation will be likely to be rejected and not appear on arXiv.”

According to the press release, arXiv has been inundated by articles but that CS was the worst category. “We now receive hundreds of review articles every month,” arXiv said. “The advent of large language models have made this type of content relatively easy to churn out on demand.

The plan is to enforce a blanket ban on review articles and positions papers in the CS category and free the moderators to look at more substantive submissions. arXiv stressed that it does not often accept review articles, but had been doing so when it was of academic interest and from a known researcher. “If other categories see a similar rise in LLM-written review articles and position papers, they may choose to change their moderation practices in a similar manner to better serve arXiv authors and readers,” arXiv said.

AI-generated research articles are a pressing problem in the scientific community. Scam academic journals that run pay-to-publish schemes are an issue that plagued academic publishing long before AI, but the advent of LLMs has supercharged it. But scam journals aren’t the only ones affected. Last year, a serious scientific journal had to retract a paper that included an AI-generated image of a giant rat penis. Peer reviewers, the people who are supposed to vet scientific papers for accuracy, have also been caught cutting corners using ChatGPT in part because of the large demands placed on their time.

Update: The original version of this article made it appear that arXiv had stopped accepting CS articles that were under peer review. It's a narrow ban on article reviews and position papers. We've updated the story and subtitle to reflect this and regret the error.

Do you and your human family have interest in sharing an exciting IRL experience supporting your [team of choice] with other human fans at The Big Game? In that case, don the chosen color of your [team of choice] and head to the local [iconic stadium]; Ticketmaster has exciting ticket deals, and soon you and your human family can look as happy and excited as these virtual avatars: 

Ticketmaster's personalized AI slop ads are a glimpse at the future of social media advertising, a harbinger of system that Mark Zuckerberg described last week in a Meta earnings call. This future is one where AI is used both for ad targeting and for ad generation; eventually ads are going to be hyperpersonalized to individual users, further siloing the social media experience: "Advertisers are increasingly just going to be able to give us a business objective and give us a credit card or bank account, and have the AI system basically figure out everything else that’s necessary, including generating video or different types of creative that might resonate with different people that are personalized in different ways, finding who the right customers are,” Zuckerberg said. 

The Ticketmaster example you see above is rudimentary and crude, but everything we've seen over the last few months suggests that the real way Meta is bringing in revenue with AI is not through its consumer-facing products but with AI ad creation and targeting products for advertisers that allows them to create many different versions of any given ad and then to show that ad only to people it is likely to be effective on.

Ticketmaster, in this case, has has invented several virtual families whose football team allegiances change presumably based on a series of demographic, geographic, and behavioral factors that would cause you to be targeted by one of its ads. I found these ads after I was targeted by one suggesting I join this ethnically ambiguous, dead-eyed family of generic blue hat wearers at the World Series to root on, I guess, the Dodgers. I looked Ticketmaster up in Facebook’s ad library and found that it is running a series of clearly AI-generated ads, many of which use the same templates and taglines. 

For this interview episode of the 404 Media Podcast, Joseph speaks to Joshua Aaron, the creator of ICEBlock. Apple recently removed ICEBlock from its App Store after direct pressure from the Department of Justice. Joshua and Joseph talk about how the idea for ICEBlock came about, Apple and Google’s broader crackdown on similar apps, and what this all means for people trying to access information about ICE.

Listen to the weekly podcast on Apple Podcasts, Spotify, or YouTube. Become a paid subscriber for early access to these interview episodes 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.

• ICEBlock Owner After Apple Removes App: ‘We Are Determined to Fight This’
• Google Calls ICE Agents a Vulnerable Group, Removes ICE-Spotting App ‘Red Dot’
• Apple Banned an App That Simply Archived Videos of ICE Abuses

Welcome back to a special scary installment of the Abstract! Is Halloween over? Technically yes. But as lovers of spooky season will know, the fallout from Halloween—when dawn reveals the remains of the festivities—is an extension of the day itself. That is why I have assembled a parade of horrors for you this morning.

First, ancient mummies from a watery grave. Then: : let’s get tangled up in one of the great mysteries of spider webs; watch out for the venomous snakes; and lastly, scientists literally ask where the bodies are buried. 

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. 

And now, Halloween is over but the darkness lingers on…

Prepare to enter the “mummy zone”

Sereno, Paul et al. “Duck-billed dinosaur fleshy midline and hooves reveal terrestrial clay-template ‘mummification.’ Science.

If you think human mummies are scary, wait until you meet dinosaur mummies. 

Paleontologists have discovered the mummified remains of two duck-billed dinosaurs that belong to the species Edmontosaurus (go Oilers!) annectens, which lived 66 million years ago in what is now Wyoming. 

The immaculate preservation of the animals—a 2-year-old juvenile and young adult that was roughly 5 to 8 years old—exposed unprecedented corporeal details, such as intricate polygonal scales, spinal spikes, fleshy contours, skin wrinkles, and the first hooves ever identified in a dinosaur (or any reptile), making them the oldest hooves in the fossil record.

“The late juvenile is the first subadult dinosaur mummy on record and the first large-bodied dinosaur preserving the fleshy midline over the trunk,” said researchers led by Paul Sereno of the University of Chicago. “The early adult is the first hadrosaurid to preserve the entire spike row from hips to tail tip and the first reptile preserving wedge-shaped pedal hooves.”

These “end-Cretaceous E. annectens preserve the oldest hoof renderings for any tetrapod, the first record of hooves in a reptile” and “the first instance of a hooved tetrapod capable of bipedal locomotion,” the team added.

For more than a century, paleontologists have discovered dinosaur mummies in what the team delightfully calls the “mummy zone” of the Lance Formation of east-central Wyoming. In addition to adding new specimens to this collection, Sereno and his colleagues have also shed light on the rare process of “clay templating” that produces this preservation of mummified flesh, skin, and other soft tissues. 

As the carcasses of these Edmontosaurs dried in the Cretaceous sun, they were suddenly immersed under a flash flood that left a thin biofilm over their skin, preserving the three-dimensional soft tissues in time. The team concluded that “the extraordinary preservation of the ‘mummy zone’ is due to rapid subsidence in a coastal setting subject to seasonal drought-flood cycles.”

While it’s sad that these dinos died young, it’s a miracle that we can observe their flesh, skin, and hooves 66 million years later. Anyway, it’s not as if they had much to look forward to, since the die was already cast for the non-avian dinosaurs. In this case, the die is an apocalyptic space rock to which we humans owe our existence—and the reality of these cosmic gambles of fate is frankly scarier than any mummy, even a dinosaur mummy, ever could be.

In other news…

Deck the halls with stabilimenta

Greco, Gabriele et al. “The effect of different structural decoration geometries on vibration propagation in spider orb webs.” PLOS One.

Halloween revelers will be taking down their decorative spider-web today, but real spiders keep their web decor up all year long. Researchers have long struggled to make sense of the silky zigzag ornaments that some spiders weave, known as “stabilimenta,” which could serve as insect attractors, predator defense, thermal protection, or water collection. Nobody is really sure!

Now, a team has suggested that stabilimenta might be vibrational amplifiers that help alert spiders to prey impacting the web. “No studies have yet investigated how web decorations affect vibration propagation in orb webs,” said researchers led by Gabriele Greco of the Swedish University of Agricultural Sciences. By studying wasp spiders in Sardinia, the team found that in certain cases, ”the presence of the stabilimentum enhances the spider’s ability to detect prey location…compared to webs without a stabilimentum.”

“However, from a biological standpoint, the high variability in stabilimentum geometry suggests that the observed differences in elastic wave propagation are unlikely to have a consistent or significant functional role,” the team added. 

In other words, these web decorations still defy a one-size-fits-all explanation. My own hypothesis is that they are just the dorm room posters of the spider world.

A new antivenom bites back

Ahmadi, Shirin et al. “Nanobody-based recombinant antivenom for cobra, mamba and rinkhals bites.” Nature.

Though I am a militant ophiophilist, even I can see how a clade of dangerous limbless weirdos ended up becoming so widely feared and maligned. Snakes kill tens of thousands of people per year, an ongoing tragedy that has galvanized researchers to develop antivenom “cocktails” that could treat snakebit emergencies across many species while also mitigating adverse immunological reactions.  

A new study has now addressed this challenge “by immunizing an alpaca and a llama with the venoms of 18 different snakes, including mambas, cobras and rinkhals,” said researchers led by Shirin Ahmadi of the Technical University of Denmark. 

The cocktail “effectively prevented venom-induced lethality in vivo across 17 African elapid snake species” and “shows considerable promise for comprehensive, continent-wide protection against snakebites by all medically relevant African elapids,” the team added. 

While it will take much more research to prove it is safe and effective in humans, the antivenom is a significant step toward preventing snakebite deaths and injuries. It's also about the only cocktail that you hope you’ll never have the desire to order.

The more (dead), the merrier

Ma, Quanbao et al. “The spatiotemporal distribution characteristics and influencing factors of ancient tombs in China: A study on the conservation of ancient tombs in China.” PLOS One.

We’ll close on that most hallowed of Halloween traditions—a trip to the haunted cemetery.

In an unprecedented study, researchers mapped out tens of thousands of ancient Chinese tombs spanning the past 4,000 years since the Xia Dynasty. The team used mapping software to analyze the age and location of the tombs to search for clues about the social and political impacts on burial locations.  

“The number of ancient tombs varied significantly across historical periods” with the Qing dynasty (1644 - 1912) accounting for 47.012 percent of the national total, while the Sui dynasty (581 - 618) had only 0.134 percent, according to researchers led by Quanbao Ma of the Beijing University of Civil Engineering and Architecture.

“From a temporal perspective, periods of frequent dynastic transitions and wars in Chinese history were often accompanied by significant population declines and migrations,” the team added. “However, during post-war recovery and periods of societal stability, population numbers typically rebounded and grew rapidly, which was also reflected in the increasing number of deceased individuals requiring burial.”

In other words, contrary to Halloween lore, it can be a good sign to find a lot of dead bodies in one place because it’s often an indicator of more peaceful and stable times (dead bodies, after all, are the product of living ones). What might be more creepy is an absence of graves in your general vicinity. With that in mind, go visit your local ghosts; they are great company this time of year.

Thanks for reading! See you next week.

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 keeping FOIA reporting in front of a paywall, Ray-Bans, and what pregnate Schoolhouse Rock bills say about our current AI-driven hellscape.

JOSEPH: Yesterday I did a livestreamed event with Freedom of the Press Foundation and WIRED. It was called Unpaywalled: The case for making public records-based reporting free and you can check it out here. 

As you might know, we made a decision very early on with 404 Media, I think in the first week maybe, to not paywall our Freedom of Information Act (FOIA) reporting. There are a few reasons, but the main one simply is that with public records, we think people should be able to see those records without paying. It’s like a government agency publishing certain databases, or census data, or whatever. These are public records and should be published or re-published as such.

Immigration and Customs Enforcement (ICE) does not let people decline to be scanned by its new facial recognition app, which the agency uses to verify a person’s identity and their immigration status, according to an internal Department of Homeland Security (DHS) document obtained by 404 Media. The document also says any face photos taken by the app, called Mobile Fortify, will be stored for 15 years, including those of U.S. citizens.

The document provides new details about the technology behind Mobile Fortify, how the data it collects is processed and stored, and DHS’s rationale for using it. On Wednesday 404 Media reported that both ICE and Customs and Border Protection (CBP) are scanning peoples’ faces in the streets to verify citizenship.

I am haunted by a pregnant bill in Andrew Cuomo’s new AI-generated attack ad against Zohran Mamdani.

Cuomo posted the ad on his X account that riffed on the famous Schoolhouse Rock! song “I’m just a bill.” In Cuomo’s AI-generated cartoon nightmare, Zohran Mamdani lights money on fire while a phone bearing the ChatGPT logo explains, apparently, that Mamdani is not qualified. 

Chimpanzees revise their beliefs if they encounter new information, a hallmark of rationality that was once assumed to be unique to humans, according to a study published on Thursday in Science.

Researchers working with chimpanzees at the Ngamba Island Chimpanzee Sanctuary in Uganda probed how the primates judged evidence using treats inside boxes, such as a “weak” clue—for example, the sound of a treat inside a shaken box—and a "strong" clue, such as a direct line of sight to the treat. 

The chimpanzees were able to rationally evaluate forms of evidence and to change their existing beliefs if presented with more compelling clues. The results reveal that non-human animals can exhibit key aspects of rationality, some of which had never been directly tested before, which shed new light on the evolution of rational thought and critical thinking in humans and other intelligent animals.      

“Rationality has been linked to this ability to think about evidence and revise your beliefs in light of evidence,” said co-author Jan Engelmann, associate professor at the department of psychology at the University of California, Berkeley, in a call with 404 Media. “That’s the real big picture perspective of this study.”

While it’s impossible to directly experience the perspective of a chimpanzee, Engelmann and his colleagues designed five controlled experiments for groups of anywhere from 15 to 23 chimpanzee participants. 

In the first and second experiments, the chimps received a weak clue and a strong clue for a food reward in a box. The chimpanzees consistently made their choices based on the stronger evidence, regardless of the sequence in which the clues were presented. In the third experiment, the chimps were shown an empty box in addition to the strong and weak clues. After this presentation, the box with the strong evidence was removed. In this experiment, the chimpanzees still largely chose the weak clue over the empty box. 

In the fourth experiment, chimpanzees were given a second “redundant” weak clue—for instance, the experimenter would shake a box twice. Then, they were given a new type of clue, like a second piece of food being dropped into a box in front of them. They were significantly more likely to change their beliefs if the clue provided fresh information, demonstrating an ability to distinguish between redundant and genuinely new evidence.

Finally, in the fifth experiment, the chimpanzees were presented with a so-called “defeater” that undermined the strong clue, such as a direct line of sight to a picture of food inside the box, or a shaken box containing a stone, not a real treat. The chimps were significantly more likely to revise their choice about the location of the food in the defeater experiments than in experiments with no defeater. This experiment showcased an ability to judge that evidence that initially seems strong can be weakened with new information.

“The most surprising result was, for sure, experiment five,” Engelmann said. “No one really believed that they would do it, for many different reasons.”

For one thing, he said, the methodology of the fifth experiment demanded a lot of attention and cognitive work from the chimpanzees, which they successfully performed. The result also challenges the assumption that complex language is required to update beliefs with new information. Despite lacking this linguistic ability, chimpanzees are somehow able to flexibly assign strength to different pieces of evidence.

Speaking from the perspective of the chimps, Engelmann outlined the responses to experiment five as: “I used to believe food was in there because I heard it in there, but now you showed me that there was a stone in there, so this defeats my evidence. Now I have to give up that belief.” 

“Even using language, it takes me ten seconds to explain it,” he continued. “The question is, how do they do it? It’s one of the trickiest questions, but also one of the most interesting ones. To put it succinctly, how to think without words?”

To hone in on that mystery, Engelmann and his colleagues are currently repeating the experiment with different primates, including capuchins, baboons, rhesus macaques, and human toddlers and children. Eventually, similar experiments could be applied to other intelligent species, such as corvids or octopuses, which may yield new insights about the abundance and variability of rationality in non-human species.

“I think the really interesting ramification for human rationality is that so many people often think that only humans can reflect on evidence,” Engelmann said. “But our results obviously show that this is not necessarily the case. So the question is, what's special about human rationality then?”

Engelmann and his colleagues hypothesize that humans differ in the social dimensions of our rational thought; we are able to collectively evaluate evidence not only with our contemporaries, but by consulting the work of thinkers who may have lived thousands of years ago. Of course, humans also often refuse to update beliefs in light of new evidence, which is known as “belief entrenchment” or “belief perseveration” (many such cases). These complicated nuances add to the challenge of unraveling the evolutionary underpinnings of rationality.

That said, one thing is clear: many non-human animals exist somewhere on the gradient of rational thought. In light of the recent passing of Jane Goodall, the famed primatologist who popularized the incredible capacities of chimpanzees, the new study carries on a tradition of showing that these primates, our closest living relatives, share some degree of our ability to think and act in rational ways.

Goodall “was the first Western scientist to observe tool use in chimpanzees and really change our beliefs about what makes humans unique,” Engelmann said. “We're definitely adding to this puzzle by showing that rationality, which has so long been considered unique to humans, is at least in some forms present in non-human animals.”

Last night Trump directed the Pentagon to start testing nukes again. If that happens, it’ll be the first time the US has detonated a nuke in more than 30 years. The organization that would likely be responsible for this would be the National Nuclear Security Administration (NNSA), a civilian workforce that oversees the American nuclear stockpile. Because of the current government shutdown, 1,400 NNSA workers are on furlough and the remaining 375 are working without pay.

America detonated its last nuke in 1992 as part of a general drawn down following the collapse of the Soviet Union. Four years later, it was the first country to sign the Comprehensive Nuclear-Test Ban Treaty (CTBT) which bans nuclear explosions for civilian or military purposes. But Congress never ratified the treaty and the CTBT never entered into force. Despite this, there has not been a nuke tested by the United States since.

Trump threatened to resume nuclear testing during his first term but it never happened. At the time, officials at the Pentagon and NNSA said it would take them a few months to get tests running again should the President order them.

The NNSA has maintained the underground tunnels once used for testing since the 1990s and converted them into a different kind of space that verifies the reliability of existing nukes without blowing them up in what are called “virtual tests.” During a rare tour of the tunnel with journalists earlier this year, a nuclear weapons scientist from Los Alamos National Laboratory told NPR that “our assessment is that there are no system questions that would be answered by a test, that would be worth the expense and the effort and the time.”

Right now, the NNSA might be hard pressed to find someone to conduct the test. It employs around 2,000 people and the shutdown has seen 1,400 of them furloughed and 375 working without pay. The civilian nuclear workforce was already having a tough year. In February, the Department of Government Efficiency cut 350 NNSA employees only to scramble and rehire all but 28 when they realized how essential they were to nuclear safety. But uncertainty continued and in April the Department of Energy declared 500 NNSA employees “non-essential” and at risk of termination.

That’s a lot of chaos for a government agency charged with ensuring the safety and effectiveness of America’s nuclear weapons. The NNSA is currently in the middle of a massive project to “modernize” America’s nukes, an effort that will cost trillions of dollars. Part of modernization means producing new plutonium pits, the core of a nuclear warhead. That’s a complicated and technical process and no one is sure how much it’ll cost and how dangerous it’ll be. 

And now, it may have to resume nuclear testing while understaffed. 

“We have run out of federal funds for federal workers,” Secretary of Energy Chris Wright said in a press conference announcing furlough on October 20. “This has never happened before…we have never furloughed workers in the NNSA. This should not happen. But this was as long as we could stretch the funds for federal workers. We were able to do some gymnastics and stretch it further for the contractors.”

Three days later, Rep. Dina Titus (D-NV) said the furlough was making the world less safe. “NNSA facilities are charged with maintaining nuclear security in accordance with long-standing policy and the law,” she said in a press release. “Undermining the agency’s workforce at such a challenging time diminishes our nuclear deterrence, emboldens international adversaries, and makes Nevadans less safe. Secretary Wright, Administrator Williams, and Congressional Republicans need to stop playing politics, rescind the furlough notice, and reopen the government.”

Trump announced the nuclear tests in a post on Truth Social, a platform where he announces a lot of things that ultimately end up not happening. “The United States has more Nuclear Weapons than any other country. This was accomplished, including a complete update and renovation of existing weapons, during my First Term in office. Because of the tremendous destructive power, I HATED to do it, but had no choice! Russia is second, and China is a distant third, but will be even within 5 years. Because of other countries testing programs, I have instructed the Department of War to start testing our Nuclear Weapons on an equal basis. That process will begin immediately. Thank you for your attention to this matter! PRESIDENT DONALD J. TRUMP,” the post said.

Matt Korda, a nuclear expert with the Federation of American Scientists, said that the President’s Truth social post was confusing and riddled with misconceptions. Russia has more nuclear weapons than America. Nuclear modernization is ongoing and will take trillions of dollars and many years to complete. Over the weekend, Putin announced that Russia had successfully tested a nuclear-powered cruise missile and on Tuesday he said the country had done the same with a nuclear-powered undersea drone. Russia withdrew from the CTBT in 2023, but neither recent test involved a nuclear explosion. Russia last blew up a nuke in 1990 and China conducted its most recent test in 1996. Both have said they would resume nuclear testing should America do it. Korda said it's unclear what, exactly, Trump means. He could be talking about anything from test firing non-nuclear equipped ICBMs to underground testing to detonating nukes in the desert. “We’ll have to wait and see until either this Truth Social post dissipates and becomes a bunch of nothing or it actually gets turned into policy. Then we’ll have something more concrete to respond to,” Korda said.

Worse, he thinks the resumption of testing would be bad for US national security. “It actually puts the US at a strategic disadvantage,” Korda said. “This moratorium on not testing nuclear weapons benefits the United States because the United States has, by far, the most advanced modeling and simulation equipment…by every measure this is a terrible idea.”

The end of nuclear detonation tests has spurred 30 years of innovation in the field of computer modeling. Subcritical computer modeling happens in the NNSA-maintained underground tunnels where detonations were once a common occurrence. The Los Alamos National Laboratories and other American nuclear labs are building massive super computers that are, in part, the result of decades of work spurred by the end of detonations and the embrace of simulation. 

Detonating a nuclear weapon—whether above ground or below—is disastrous for the environment. There are people alive in the United States today who are living with cancer and other health conditions caused by American nuclear testing. Live tests make the world more anxious, less safe, and encourage other nuclear powers to do their own. It also uses up a nuke, something America has said it wants to build more of.

“There’s no upside to this,” Korda said. He added that he felt bad for the furloughed NNSA workers. “People find out about significant policy changes through Truth social posts. So it’s entirely possible that the people who would be tasked with carrying out this decision are learning about it in the same way we are all learning about it. They probably have the exact same kinds of questions that we do.”

Someone recently managed to get on a Microsoft Teams call with representatives from phone hacking company Cellebrite, and then leaked a screenshot of the company’s capabilities against many Google Pixel phones, according to a forum post about the leak and 404 Media’s review of the material.

The leak follows others obtained and verified by 404 Media over the last 18 months. Those leaks impacted both Cellebrite and its competitor Grayshift, now owned by Magnet Forensics. Both companies constantly hunt for techniques to unlock phones law enforcement have physical access to.

This story was reported with support from the MuckRock foundation.

One of the largest distributors of print books for libraries is winding down operations by the end of the year, a huge disruption to public libraries across the country, some of which are warning their communities the shut down will limit their ability to lend books. 

“You might notice some delays as we (and more than 6,000 other libraries) transition to new wholesalers,” the Jacksonville Public Library told its community in a Facebook post. “We're keeping a close eye on things and doing everything we can to minimize any wait times.”

“You don’t got no ID?” a Border Patrol agent in a baseball cap, sunglasses, and neck gaiter asks a kid on a bike. The officer and three others had just stopped the two young men on their bikes during the day in what a video documenting the incident says is Chicago. One of the boys is filming the encounter on his phone. He says in the video he was born here, meaning he would be an American citizen.

When the boy says he doesn’t have ID on him, the Border Patrol officer has an alternative. He calls over to one of the other officers, “can you do facial?” The second officer then approaches the boy, gets him to turn around to face the sun, and points his own phone camera directly at him, hovering it over the boy’s face for a couple seconds. The officer then looks at his phone’s screen and asks for the boy to verify his name. The video stops.

A number of Instagram accounts with hundreds of thousands of followers and millions of views have uploaded videos filmed with Meta’s Ray-Ban glasses show men entering massage parlors across the country and soliciting the workers there for “tuggy” massages, or sex work. In some cases, the women laugh at the men, dismiss them, or don’t understand what they’re talking about, but in a few cases they discuss specific sex acts and what they would cost.

It doesn’t appear that the women in the videos know they are being filmed and that the videos are being shared online, where they’re viewed by millions of people. In some cases, the exact location of the massage parlor is easy to find because the videos show its sign upon entering. This is extremely dangerous to the women in the videos who can be targeted by both law enforcement and racist, sexist extremists. In 2021, a man who shot and killed eight people at massage parlors told police he targeted them because he had a “sexual addiction."

We start this week with Jason’s explanation of what Grokipedia is, and how it compares to the very much human-made Wikipedia. After the break, we talk all about the hell of updating Windows PCs and what that means specifically for Windows 10 users. In the subscribers-only section, Emanuel explains what a16z is doing with a ‘speedrun’ to a wholly AI-generated world.

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.

• Dark Wire: The Incredible True Story of the Largest Sting Operation Ever⁠
• First Contact: The Story of Our Obsession with Aliens
• Grokipedia Is the Antithesis of Everything That Makes Wikipedia Good, Useful, and Human
• Elon Musk's Grokipedia Pushes Far-Right Talking Points
• The End of Windows 10 Support Is an E-Waste Disaster in the Making
• Nathan Proctor interview
• a16z-Backed Startup Sells Thousands of ‘Synthetic Influencers’ to Manipulate Social Media as a Service
• a16z Is Funding a 'Speedrun' to AI-Generated Hell on Earth

On Monday morning, the Trump administration used a picture of Halo’s Master Chief to call for the destruction of immigrants. This administration is no stranger to appropriating pop culture for its propaganda, but something about seeing the stalwart hero of a beloved video game twisted into an anti-immigrant super soldier hit people pretty hard.

Over the weekend, the Trump administration shared AI-generated Halo memes across its social media accounts. This culminated in the official Department of Homeland Security accounts sharing an image of dudes in Spartan armor riding a Warthog under the words “DESTROY THE FLOOD JOIN.ICE.GOV.” It was this image, in particular, that got in people’s heads.

What if your coworkers were AI? What if AI agents, not humans, monitored security camera feeds? What if you had an AI tech recruiter to find motivated candidates, or an entirely autonomous recruiting firm? What if UPS, but AI, or finance, but DeepMind?

Does that sound like absolute hell on Earth? Well, too bad, because the giant Silicon Valley investment firm Andreessen Horowitz (a16z) is giving companies up to $1 million each to develop every single one of these ideas as part of its Speedrun program. 

I woke up restless and kind of hungover Sunday morning at 6 am and opened Reddit. Somewhere near the top was a post called “TIL in 2002 a cave diver committed suicide by stabbing himself during a cave diving trip near Split, Croatia. Due to the nature of his death, it was initially investigated as a homicide, but it was later revealed that he had done it while lost in the underwater cave to avoid the pain of drowning.” The post linked to a Wikipedia page called “List of unusual deaths in the 21st century.” I spent the next two hours falling into a Wikipedia rabbit hole, clicking through all manner of horrifying and difficult-to-imagine ways to die.

A day later, I saw that Depths of Wikipedia, the incredible social media account run by Annie Rauwerda, had noted the entirely unsurprising fact that, behind the scenes, there had been robust conversation and debate by Wikipedia editors as to exactly what constitutes an “unusual” death, and that several previously listed “unusual” deaths had been deleted from the list for not being weird enough. For example: People who had been speared to death with beach umbrellas are “no longer an unusual or unique occurrence”; “hippos are extremely dangerous and very aggressive and there is nothing unusual about hippos killing people”; “mysterious circumstances doesn’t mean her death itself was unusual.” These are the types of edits and conversations that have collectively happened billions of times that make Wikipedia what it is, and which make it so human, so interesting, so useful. 

Wednesday, as part of his ongoing war against Wikipedia because he does not like his page, Elon Musk launched Grokipedia, a fully AI-generated “encyclopedia” that serves no one and nothing other than the ego of the world’s richest man. As others have already pointed out, Grokipedia seeks to be a right wing, anti-woke Wikipedia competitor. But to even call it a Wikipedia competitor is to give the half-assed project too much credit. It is not a Wikipedia “competitor” at all. It is a fully robotic, heartless regurgitation machine that cynically and indiscriminately sucks up the work of humanity to serve the interests, protect the ego, amplify the viewpoints, and further enrich the world’s wealthiest man. It is a totem of what Wikipedia could and would become if you were to strip all the humans out and hand it over to a robot; in that sense, Grokipedia is a useful warning because of the constant pressure and attacks by AI slop purveyors to push AI-generated content into Wikipedia. And it is only getting attention, of course, because Elon Musk does represent an actual threat to Wikipedia through his political power, wealth, and obsession with the website, as well as the fact that he owns a huge social media platform.

One needs only spend a few minutes clicking around the launch version of Grokipedia to understand that it lacks the human touch that makes Wikipedia such a valuable resource. Besides often having a conservative slant and having the general hallmarks of AI writing, Grokipedia pages are overly long, poorly and confusingly organized, have no internal linking, have no photos, and are generally not written in a way that makes any sense. There is zero insight into how any of the articles were generated, how information was obtained and ordered, any edits that were made, no version history, etc. Grokipedia is, literally, simply a single black box LLM’s version of an encyclopedia. There is a reason Wikipedia editors are called “editors” and it’s because writing a useful encyclopedia entry does not mean “putting down random facts in no discernible order.” To use an example I noticed from simply clicking around: The list of “notable people” in the Grokipedia entry for Baltimore begins with a disordered list of recent mayors, perhaps the least interesting but lowest hanging fruit type of data scraping about a place that could be done. 

On even the lowest of stakes Wikipedia pages, real humans with real taste and real thoughts and real perspectives discuss and debate the types of information that should be included in any given article, in what order it should be presented, and the specific language that should be used. They do this under a framework of byzantine rules that have been battle tested and debated through millions of edit wars, virtual community meetings, talk page discussions, conference meetings, inscrutable listservs which themselves have been informed by Wikimedia’s “mission statement,” the “Wikimedia values,” its “founding principles” and policies and guidelines and tons of other stated and unstated rules, norms, processes and procedures. All of this behind-the-scenes legwork is essentially invisible to the user but is very serious business to the human editors building and protecting Wikipedia and its related projects (the high cultural barrier to entry for editors is also why it is difficult to find new editors for Wikipedia, and is something that the Wikipedia community is always discussing how they can fix without ruining the project). Any given Wikipedia page has been stress tested by actual humans who are discussing, for example, whether it’s actually that unusual to get speared to death by a beach umbrella.

Grokipedia, meanwhile, looks like what you would get if you told an LLM to go make an anti-woke encyclopedia, which is essentially exactly what Elon Musk did. 

As LLMs tend to do, some pages on Grokipedia leak part of its instructions. For example, a Grokipedia page on “Spanish Wikipedia” notes “Wait, no, can’t cite Wiki,” indicating that Grokipedia has been programmed to not link to Wikipedia. That entry does cite Wikimedia pages anyway, but in the “sources,” those pages are not actually hyperlinked: 

I have no doubt that Grokipedia will fail, like other attempts to “compete” with Wikipedia or build an “alternative” to Wikipedia, the likes of which no one has heard of because the attempts were all so laughable and poorly participated in that they died almost immediately. Grokipedia isn’t really a competitor at all, because it is everything that Wikipedia is not: It is not an encyclopedia, it is not transparent, it is not human, it is not a nonprofit, it is not collaborative or crowdsourced, in fact, it is not really edited at all. It is true that Wikipedia is under attack from both powerful political figures, the proliferation of AI, and related structural changes to discoverability and linking on the internet like AI summaries and knowledge panels. But Wikipedia has proven itself to be incredibly resilient because it is a project that specifically leans into the shared wisdom and collaboration of humanity, our shared weirdness and ways of processing information. That is something that an LLM will never be able to compete with. 

On Friday morning, Goodreads users who wanted to read reviews of the werewolf romance Mate by Ali Hazelwood were confronted by the cover of the new Eric Trump book Under Siege. One of the site's volunteer moderators had gone rogue and changed Mate’s cover, added the subtitle “Goodreads Censorship in Favor of Trump,” and altered Mate’s listing into an explanation of why. To hear them tell it, Goodreads was removing criticism of Trump’s book from the site.

“Silencing criticism of political figures—especially those associated with authoritarian movements—helps normalize and strengthen those movements,” the post that replaced Mate’s description said. “When we let powerful people’s books be protected from criticism, we give up the right to hold power accountable.”