SAP, one of the world’s biggest software companies, suspended most travel and hiring last month because of AI’s soaring cost, with exceptions only being made for AI-related travel or hires, according to an internal SAP email obtained by 404 Media. 

Bloomberg reported on the email and the freezes in July, but a current SAP employee said the bans are still in effect. The employee said the company had a global employee meeting recently where this was brought up again. They added SAP is currently rolling out a newly created AI tool to the entire company “which I can only imagine massively increases the costs.” 404 Media granted the source anonymity to protect them from retaliation.

The email highlights how companies both big and small are coming to grips with the reality of AI’s cost. Rather than being a massive cost saver, in some cases companies are throttling employees’ AI use as it spirals out of control, and scrambling to find other ways to keep costs down.

Microsoft has introduced new limits to how much its engineers can spend on AI tools at work and told employees that maximizing AI use internally is not the company’s goal. 

This makes Microsoft one of the last major companies to rein in its employees’ expensive AI use. Scaling back maximalist AI use, or what some companies have called “tokenmaxxing,” is a trend we’ve covered in recent months as the price for using AI has increased while not always delivering commensurate productivity gains. 

Ukrainian aerial- and sea-drone attacks have turned Russia's busiest seaport into a place cargo ships increasingly refuse to sail, choking both imports from China and exports of grain and oil, according to The Moscow Times. Logistics and trade executives describe a route to Novorossiysk grown too risky to use, and a Russian grain-industry group warns the Black Sea export corridors could shut down entirely. The strikes that once spared container ships have now reached them too.

The China route importers are told to skip

"On the China–Novorossiysk route everything is now difficult, the delays are huge," one importer told The Moscow Times. 

Freight forwarders now tell clients to avoid the route outright, three colleagues said. Aerial drones and unmanned boats make the approaches too unpredictable. Earlier strikes fell mostly on grain carriers and oil tankers. Ukrainian drones hit a container ship carrying imports in late July. Then, overnight on 1 August, a sea drone sank the FESCO vessel Yanina about 130 miles offshore. The crew got out. The cargo did not.

Explore further

Ukraine hits 201 Russian shadow fleet ships in three weeks. Commander says Crimea’s supply route is now blocked indefinitely

Sailings drop as the campaign widens

Large-ship sailings from Novorossiysk fell 38% in July, the Moscow Times says, citing ship-tracking data, with tanker runs down by half. 

"But now the situation will get worse, because container ships have also become a target," a logistics manager told the publication. 

This is one edge of a wider Ukrainian drone campaign against Russian shipping, codenamed MoLoChKa. The name is an acronym for "Moscow will fall through Crimea." Its own public scoreboard counts 206 vessels hit in July by the Unmanned Systems Forces (SBS) alone, with another logged in August. The SBS have mostly burned the small tankers and support ships that keep Russia's sanctioned shadow fleet moving.

Explore further

Ukrainian drones slash Kerch ferry crossing capacity by 75%, as daily strikes continue on Russian vessels and occupation energy infrastructure

What Russia stands to lose

Novorossiysk carries every fifth ton of Russia's seaborne exports: Urals oil, Kazakh crude, wheat for Egypt, and fertilizer for Asia and Africa. 

Attacks across the Azov–Black Sea region could cost Russia up to 30–35 million tons of wheat exports this season, a grain-exporters' union estimated. That would gut a harvest analysts expected to top 44-45 million tons. 

"Systematic attacks that began in July could soon lead to the complete blocking of the export corridors of the Black Sea basin," the union said. 

Ukraine's drones had already cut into Russia's seaborne grain trade this summer, and repeated hits on the port's main oil terminal have dented crude loadings. Russia keeps pouring money into the port, building a new terminal worth 120.7 billion rubles (about $1.5 billion), even as ships stay away, The Moscow Times said.

A drone came down on a beach full of Russian holidaymakers, and the evidence points to Russia's own air defense bringing it there. On 3 August, drones attacked Krasnodar Krai, and one crashed onto a beach in Arkhipo-Osipovka near Gelendzhik, killing at least six people, three of them children, and injuring around 40, Krasnodar Governor Veniamin Kondratyev said.

Russian outlet Agentstvo and OSINT analysts assessed that the drone likely fell because of Russian air-defense fire rather than a direct hit, citing gunfire audible in footage before the drone dived and an abrupt change in its flight path.

The beach sits directly in front of the Rassvet resort, a facility of NPO Mashinostroyeniya, one of Russia's key missile-manufacturing enterprises.

The warning system did not sound

Survivors say they had no notice. Local residents and holidaymakers complained that no air-raid alert sounded at all, though warning systems are installed in the village, and the Russian channel Astra also noted that no alert was heard in the region during the attack, per the reports.

People on the beach were in the open, with little chance to take cover, even if they had been warned. The absence of a siren in a resort packed at the height of the summer season left sunbathers and swimmers with no warning that a drone was overhead and being fired at.

The target was a missile maker's resort

NPO Mashinostroyeniya develops cruise missiles for the Russian army, and its Rassvet recreation base was the apparent target roughly 300 meters from where the drone came down, the Supernova Telegram channel reported.

Ukraine strikes Russian military-industrial sites across the country, and a missile-development enterprise is a legitimate military target. What turned a strike near a defense plant into a mass-casualty event on a beach was, by the analysts' account, Russian air defense knocking the drone down over the crowd rather than away from it. Ukraine had not commented on the strike.

The dynamic is one Ukraine knows intimately in reverse

Russian air-defense missiles and the debris of intercepted drones regularly fall on Ukrainian cities, killing civilians, and Ukraine has long documented how interception over populated areas kills the people it is meant to protect.

404 Media has obtained a coaching guide that Flock surveillance gives to police about “how to speak to city councils about public safety technology.” The handbook highlights how Flock and police team up to convince cities to buy and keep its automated license plate reader technology, even when there is widespread public opposition to it, and encourages police to “own the narrative before someone else does” by championing the technology before citizens can oppose it during public comment periods.

The PDF guide notes that the general public and cities now “increasingly expect transparency, oversight, and accountability alongside public safety outcomes,” and tells police to not argue with people who believe that Flock’s license plate readers are “mass surveillance.”

“One of the most common questions agencies hear today is whether license plate recognition (LPR) technology constitutes mass surveillance. Many leaders instinctively respond by attempting to refute the claim. Flock's Jamie Hudson recommends a different approach,” the guide reads.

“Don’t avoid the concept of mass surveillance because you’re not going to convince opponents that it’s not,” the company recommends. Flock tells law enforcement agencies they need to try to convince city council and city managers that the technology is worthwhile before meetings with the public occur; that they need to have a “carefully scripted presentation” ready to go; and that police need to say they want Flock because they want to keep the community safe: “You care about your community. That’s why you’re bringing this in.” 

Flock began offering this guide as part of a broader attempt to coach police on how to push back against criticism of its policies and security practices, many of which 404 Media has investigated and shed light on. These include the fact that Flock data was regularly making its way to Immigrations and Customs Enforcement (ICE), often in violation of sanctuary city and state laws; that Flock was used to search 83,000 cameras nationwide for a woman who had an abortion in Texas; and that Flock has been used by police to stalk people and surveil protesters. These investigations and broader concern over the surveillance state have led many cities to hold city council meetings to reconsider their Flock contracts, and this Flock-produced guide is an attempt to help police shape the narrative in a way that will either convince cities to buy Flock or to keep their contracts. 

The guide is associated with a Flock webinar for police called “How to Speak to City Councils: Meeting the Moment with Confidence,” which included modules on “how to address misinformation with clarity.” After public opposition late last year, the company began to offer Q&A sessions with its CEO, Garrett Langley, for city council members, police, and mayors to address what Flock described as an “era of unprecedented misinformation.” 

“The recent headlines about our company are largely a result of this environment,” the company told cities. 

“Opponents have a very carefully scripted narrative. They come prepared. You should also have a carefully scripted presentation that addresses those concerns ahead of time,” the guide says. “The agencies that navigate these conversations successfully rarely wait until a council meeting to educate stakeholders. They brief city managers early. They meet with council members before votes occur. They share policies proactively and answer questions before public comment periods become the first introduction to the program.” 

The guide also tells police that they can convince city councils that Flock is worth the monetary cost by conveniently not focusing on how much the cameras cost, but by “reframing the financial discussion itself” to focus on “the cost of unresolved crime.” Flock also writes that much of the opposition to its technology is happening because people “do not understand how it works or how it is governed.” This idea is one that has been regularly repeated by Langley over the last several months. 

Surveillance companies regularly try to get police to act as quasi salespeople and spokespeople for their companies, pitting a private company and taxpayer-funded law enforcement on one side and citizens on the other. “For years, surveillance vendors like Flock Safety have shaped policy debates cities are supposed to run independently — staging council ‘prep calls’ and exploiting a basic asymmetry: the vendor controls the facts, and city staff are rarely positioned to challenge them,” Sarah T. Hamid, director of strategic campaigns at the Electronic Frontier Foundation told 404 Media after reviewing the guide. “The financial interest is obvious. Flock isn’t just selling surveillance, it’s scripting the public case for buying it. Because Flock treats public trust as a messaging problem rather than a governance outcome, that script keeps officials focused on ‘accountability’ in the abstract instead of the concrete harms and documented abuses its network has already enabled.”

404 Media has watched numerous city council meetings around the country where police talk about how Flock is a critical law enforcement system for them; in many cases, a police chief will speak about Flock and then introduce a Flock employee to give a presentation about the surveillance system. On Monday, 404 Media published an interview with a former Flock government affairs manager who regularly pitched the technology to cities at public meetings. An activist who has been pushing back against Flock in their community and who shared the guide document with 404 Media said that they have regularly seen the strategies suggested by Flock deployed in city council meetings they have attended and watched. 404 Media agreed to keep the activist anonymous to protect them from retaliation.

“I think this document shows a coordinated effort from Flock Safety to compel law enforcement agencies to convince our elected leaders to represent their interests as a company rather than the interests of concerned citizens,” they said. “I have watched many meetings locally in my city and my state and across the country, and you can see the techniques used in this ebook in the presentations given by law enforcement. Pivoting conversations away from concerns about mass surveillance and directing them towards procedure and governance is a vehicle that's used to downplay the concerns of privacy-minded citizens. We have every right to expect our elected leaders to listen to us, and it's very common to see city councils vote with a supermajority in favor of approving Flock contracts despite standing-room only attendance at city council meetings with little to no public support for this product.”

The guide specifically highlights several supposed success stories in which communities had very real concerns about Flock but ultimately decided not to get rid of the technology. For example, it highlights how Flock was able to get a vote in favor of its technology in Oakland, California, despite it being “one of the most scrutinized public safety technology debates in the state,” with “more than 140 public comments” and opposition from the city’s Privacy Advisory Commission: “The conversation shifted when officials stopped asking the public to trust the technology and started showing how the technology could be audited, reviewed, and held accountable.” 

It also tells the story of Richmond, California, which allowed its Flock contract to temporarily lapse after the city’s cameras were included in the company’s national lookup tool. City officials there worried that their cameras’ data would be accessed by ICE, in violation of California and local law. “After concerns emerged around data sharing and sanctuary city policies, the city's program was paused and subjected to intense public scrutiny,” the Flock guide says. “Rather than relying on generalized claims about effectiveness, department leadership presented two and a half years of local results, including 274 arrests and 259 vehicle recoveries connected to the program. The council ultimately voted 4-3 to reinstate the system.”

Flock did not immediately respond to a request for comment. 

Ukraine set a major Russian oil terminal ablaze on the Black Sea coast. Operators of the SBS 413th "Raid" Regiment, in a joint operation with comrades from the 1st Separate SBS Center and the Security Service of Ukraine (SBU), struck the Taman maritime terminal near the village of Volna in Krasnodar Krai on 30 July, the regiment reported.

The strike destroyed a volume of fuel equal to 1,000 rail tank cars. According to updated data, 12 reservoirs, each holding 5,000 tons, were destroyed at the Taman terminal, and the fire covered more than 17,000 square meters.

The terminal is a key southern export node

Taman is one of the most important fuel facilities in southern Russia. The terminal specializes in the transshipment and export of oil, fuel oil, diesel, and liquefied petroleum gases, operates a large tank farm, and supplies fuel to Russian forces, according to the regiment.

Destroying 12 of its tanks strikes both Russia's fuel exports and its military supply at once, the dual purpose of Ukraine's campaign against Russian oil infrastructure, which targets the refineries, depots, and terminals that turn crude into export revenue and military fuel.

Satellites confirmed the fire

The strike's effect was visible from orbit. The Ukrainian drone strikes caused a large-scale fire on the terminal's territory, recorded by the NASA FIRMS satellite fire-monitoring service.

The reported date corroborates that something large burned there, moving the claim beyond a single belligerent's word.

The unit pioneered Ukraine's long-range drone strikes

The 413th "Raid" Regiment is one of the units that started Ukraine's deep-strike campaign. In 2022, at the start of the full-scale war, a group of special operations fighters first used drone technology to reconnoiter and strike enemy forces at distances up to 500 kilometers, the origin of the regiment.

The Taman strike extends the near-nightly Ukrainian campaign that has idled a large share of Russian refining capacity and now reaches the export terminals on the coast, raising the cost of the oil trade that funds Russia's war.

On Thursday, Google introduced a new AI feature into Google Earth which lets anyone fabricate all sorts of misleading or straight up inaccurate satellite imagery, from making it look like a specific place has suffered a drone strike to manifesting a nuclear plant in Iran.

Usually, Google Earth is an exceptionally useful tool for open source intelligence (OSINT) analysts to digitally monitor areas of interest and see how they change over time, say, during a conflict or disaster. Now, Google Earth can easily be used as a tool for disinformation. 

Following 404 Media’s reporting that book database company ISBNdb claimed to source printed books to then sell to AI companies for AI training, the company deleted the part of its website offering the service and walked back claims that it would train AI models, and instead called it “a test of market interest.” 

On July 30, nine days after 404 Media’s reporting, ISBNdb added a note to its homepage and an update on its news page about the change. “We've seen the recent coverage about a marketing landing page on our site, and we understand the concern it raised. The facts: ISBNdb has never purchased, scanned, or sold a book — for AI training or anything else,” ISBNdb wrote. “We don't train AI models, and we never have. The page was a test of market interest; no such service was ever brought to life. We've taken the page down. Our job is helping people find books. For more than two decades, ISBNdb has been the card catalog of the book world — the data behind how bookstores, libraries, and reading apps connect readers with titles. Data about books, not the books themselves. That hasn't changed.” 

In February, a content creator from New Zealand named Harry Chang posted a YouTube video called “This AI TikTok Shop Video Made Me $67,420 (Here’s How).” In the video, Chang and another YouTuber, Jimmy Farley, describe how Chang created a viral marketing video for a supplement company called Rosabella called the “Nigerian SECRET to CLEAN LIVER!!”

Chang explains that he copy-pasted the script from a video posted by an account called “liverboosthub11” and tweaked it to suggest the supplement he was marketing is “something that’s been used in Asia or Africa for a long time that a lot of people don’t know about in America.”. In Google’s VEO 3, he created an AI-generated Black woman wearing a surgical mask in the foreground of the video, pointing up at another AI-generated Black woman (created in a tool called HeyGen) wearing a pink dress and standing on a stage. He directed the woman in the foreground to have a “strong African American accent,” and to say, “Why is nobody talking about what this hoe said?! If you’ve got issues with that belly, must watch!” 

“Builds curiosity, builds intrigue,” Chang says about his creation. “People want to know, ‘damn, what did she say? What did that ho say?’” To make the AI-generated woman on stage read the script he took from liverboosthub11, he pulls up the popular AI voice generator ElevenLabs. He scrolls through a list of voices that he had created, including “African American Woman Organic,” “Black Man 1,” “ORGANIC White Southern Woman,” and “Sad Black Woman in Car.” He settles on a voice called “Latisha 1.” He syncs the voice with the AI-generated videos he created in the video editing software CapCut. This AI video goes on to get 1.3 million views on TikTok and apparently earned him tens of thousands of dollars in affiliate sales.

In another video, Chang explains how he has made tens of thousands of dollars using AI influencers. “I’ve even had my clients buy me Rolexes for selling so much of their products,” he says. 

The video’s title is “How I print $51,000/month profit with AI influencers (feels illegal).” 

A new lawsuit argues that the strategy is, indeed, illegal. (After 404 Media asked for comment for this story, several of the YouTube videos mentioned in this article were deleted).

In February, a supplement company called Humann sued a competitor called Ambrosia Brands because Ambrosia, through the supplement company called Rosabella, allegedly directed and influenced the creation of hundreds of TikTok Shop videos and ads featuring AI-generated “doctors” that oversold the supposed benefits of Rosabella’s products. Rosabella’s AI marketing practices have previously been written about by 404 Media and The New York Times, but were most thoroughly explored in an excellent episode of the podcast Conspirituality. 

The lawsuit reveals new details about how this group of 20-something YouTubers built their army of AI-generated influencers. In practice, Rosabella is more of a social media AI content hustle and AI marketing exercise than a supplement company. What happened in this case is the same type of spam and buy-my-course to get-rich-quick strategy that we have repeatedly written about, only this time the slop is being used to shill supplements largely to the elderly. Rather than payouts coming from the number of views a video gets on social media, the payouts are commissions on products sold. The lawsuit was spotted by the lawyer Rob Freund on X.

“All these guys are ex-dropshipping guys,” Mallory DeMille, who studies the wellness and supplements industry and who reported the episode of Conspirituality, told 404 Media. “They could have chosen anything to sell to make AI content out of, but they chose supplements, and it’s interesting they chose supplements because it’s such an unregulated market where [they] can basically pump out whatever product they wanted to with very little oversight. On the marketing side, it’s also pretty unregulated and there’s a lot of real [human] influencers making unfounded health claims without there being many consequences. In terms of ease of making money — wellness, they chose this industry for a reason. I think it’s pretty seamless, has proven to be seamless and now they’ve sold a fuckton because of how easy it is.”

The lawsuit highlights a series of TikTok videos—like the ones I described above, and most of which are still online—featuring AI-generated doctors, TED Talk-style speakers, and videos that are essentially identical to the ones Chang has repeatedly taught people on YouTube how to make. And hundreds of additional videos promoting Rosabella that are not highlighted in the lawsuit are trivial to find on TikTok. Many of them have hundreds of thousands or millions of views and seem to make wild promises about what Rosabella supplements can do.

In another video, Chang explains why his favorite products to sell fall into the “elderly health” category: “It’s an extremely profitable niche, especially in the U.S., guys.” 

“In the U.S., they have very high demand for health products,” he says. “They don’t have any free healthcare, right? People over 35 literally are very concerned about their health […] You have moms who buy 100 supplements and put them all in their cupboard. It is crazy. It’s crazy.” 

“When you have such a high, problem-solving niche, it’s very easy to write scripts for, very easy to innovate, and just continuously make money,” he says, adding that he usually generates AI influencers who themselves look old.

“They’re relatable and credible,” he says of three older-looking AI people he shows on screen, one of which is shilling beetroot powder from Rosabella. “Why? Because they are old. People are more willing to listen to old people only because they see them as more wise and intelligent […] and look how credible they look. They’re speaking on stage like TED Talk-type style and they’re more relatable because they’re more similar to the age we want to target. If you’re trying to sell health products to a 50-year-old, well, make your avatar 50 years old.”

On TikTok, Rosabella used a mix of paid influencers and AI-generated characters to make unfounded medical claims about its products and about beetroot more generally, the lawsuit alleges. “In several TikTok Posts, the post purports to show a doctor, medical professional, or other medical authority espousing the health benefits of Defendant’s products. All or nearly all of the ‘doctors’ featured in the TikTok Posts are AI-generated and fictitious, making the claims in the advertisement false and/or misleading,” the lawsuit notes. “For example, in a June 14, 2025 TikTok post, influencer ‘poormaninla’ purports to depict a doctor in a whitecoat that promotes the alleged health benefits of Defendant’s products. Before the ‘doctor’ begins speaking, a separate speaker is imposed on the screen in a surgeon’s or nurse’s scrubs.”

The “poormaninla” account is still up on TikTok and its videos are almost entirely AI-generated. Several of the videos have hundreds of thousands of views. “The best food for Black women to eat if they want a slim stomach is not turmeric, it’s not ginger, and it’s definitely not blueberries. Just one teaspoon of this food reduces gut inflammation,” an AI-generated man in a lab coat says in one.

You can see some of the videos promoting Rosabella here:

The lawsuit argues that Rosabella is “orchestrating a misinformation campaign on TikTok through its network of influencers,” who “make various misrepresentations about the health and wellness benefits of Defendant’s beetroot products, which are entirely unfounded.” The lawsuit alleges that Rosabella, through a private Discord channel, offered extensive coaching to content creators on how to make AI-generated TikTok ads; that many of these ads featured fake doctors and other AI-generated people who were made to look authoritative; that some of these videos were racist; and that when people bought Rosabella products through TikTok Shop links on those videos, the creator of those videos would earn a commission. Humann’s argument is that Rosabella’s “false and misleading representations undermine public confidence in other beet products, like Humann’s SUPERBEETS products.” 

Ambrosia says, essentially, there is no evidence it told people what to do in the Discord channel. In court filings, Ambrosia claims that Humann “fails to allege any facts that plausibly show Ambrosia induced or materially contributed to the third-party conduct it complains of.” It remains unclear whether what Rosabella was doing is illegal in the unregulated world of supplements in the U.S., or whether a competitor could win a false advertising lawsuit like this. But there is no doubt about Rosabella’s strategy, what their motivations are, and the incredibly close connection between Rosabella and the network of content creators who made, conservatively, hundreds of AI-generated videos.   

The lawsuit highlights how common fully AI-generated marketing has become on platforms like Instagram and TikTok, and nods at, but does not dive into, the complicated web of YouTube hustlebros that have largely given rise to this practice, and the social media platforms that have incentivized and promoted AI-generated spam and fly-by-night supplement companies. Rosabella is a company that has already been subject to an “extensively drug-resistant salmonella” recall by the Food and Drug Administration. But it is maybe better understood not so much as a supplement company but more as a branding exercise and vertical video content hustle by the same types of AI spammers and buy-my-course bros we’ve written about numerous times over the last few years.

In a video about “why you need to be working with Rosabella” qposted by an account called “Luca Washenko” on the online course sales platform Whop, a man brags “we paid out over $400,000 last month to creators.” He says that individual people have made more than $300,000, and shows “proof and dates of our creators getting tons of views consistently. Got 55 million right there […] I am one of the lead coaches in the Rosabella server.” 

But Washenko isn’t just a creator helping to advertise Rosabella. He is the company’s founder. A YouTube video repeatedly alludes to this, and mentions how much money he and his army of affiliate creators have made selling Rosabella products on TikTok Shop. Washenko is also listed as the cofounder of Rosabella on several trademark filings I found, and his LinkedIn lists him as the founder of “MNY Ventures,” a company that has the Rosabella logo on LinkedIn. Clicking through “MNY Ventures” goes to a LinkedIn page for “Rosabella,” which has several job listings for AI video editors: “MNY Ventures is home to one of the fastest-growing supplement brands in the world, built on the back of a high-performance, results-obsessed culture. We don't just create ads; we create market-leading campaigns that generate massive revenue,” one of the LinkedIn job listings reads. “Your mission is to lead the production of our high-converting AI videos quickly and at high quality. You will be responsible for consistently creating on-brand and compliant video content based on proven formulas designed to maximize reach, ensuring MNY Ventures maintains its position as the #1 leader in AI video marketing for e-commerce.” The listing adds the person will need to produce “10 high-quality AI videos per day, following our preset scripts and styles.” 

In a video called “Inside a TikTok Shop Meetup with Million Dollar Creators,” there is no doubt about Rosabella’s strategy, Washenko’s motivations, or Rosabella’s close relationships with the people spamming AI-generated content shilling its products. Rosabella is just the latest of Washenko’s creations. His previous claim-to-fame was selling caffeine vapes on TikTok. 

“There have been creators that are now millionaires from working with Rosabella,” Washenko says in the meetup video. “It’s one thing if you make money, it’s another thing if you can help everybody around you make money. An event like this where you can go face-to-face and shake hands with people and they say, ‘You’ve changed my life.’ And I’m like ‘You’ve changed mine.’ Those are the moments that are so special, especially when everything is remote. It’s online. It’s Discord, that’s one thing. You look them in the eye and they say, ‘I was able to pay my mortgage when I lost my job because I was making videos for you.’ That’s a different feeling.” 

Washenko explains there are two reasons why people should make content promoting Rosabella: “If you want to be the Tiger Woods of creator, if you want to be the Caitlin Clark, you want to be the Michael Phelps, you want the golden rings you want to be the greatest, to be the number one, that’s what we’re all about. That’s the Rosabella family,” he says. “Along the way, you’ll make a ton of money.” 

Later in the video, Washenko stands on stage addressing a crowd, shouting out “all the people I’ve been talking to on Discord from day one, from 18 months, I started Rosabella in my mom’s basement.” He shouts out all the creators who he’s helped make rich and who helped make him rich. He then says there’s one other “person I want to shout out today.” He calls up Harry Chang, the YouTuber who made the video “How I print $51,000/month profit with AI influencers (feels illegal).” Washenko presents him with a Rolex. “I cannot be any more proud to be working on a brand with you,” and for that, I want to give you this watch today. It’s a Rolex, by the way.” 

After 404 Media asked for comment on the video, it was deleted from YouTube.

DeMille, who reported the episode of Conspirituality diving into Rosabella, Washenko, and Chang, told me the men are “just actively bragging about it online. I can’t believe they’re openly talking about it like this.”

“A lot of the videos of these AI slopfluencers, they’re using narratives that real-life wellness influencers have seen success using, but they’re taking these narratives and inputting them into whatever AI systems they’re using and making people look whatever age they want,” DeMille said. “There’s no thought behind it. There’s no anything behind the content that they’re turning out. These videos they’re replicating in their AI machines are also being used to sell something, but it’s being generated into something else to sell something else. It’s this inception of bad information by people who don’t actually care.”

“These guys behind these AI slopfluencers have proven that they don’t care, and they obviously care more about money and wealth than they do about health,” she added.

Washenko did not respond to a request for comment. Ambrosia Brands did not respond to a request for comment. 

A request sent to Rosabella was returned by someone named Emmanuel Obonga. The response said, “We don’t currently have an active affiliate program. However, we’d be glad to keep your information on file and reach out if we revisit or launch one in the future.” In the course of reporting an earlier story about the AI influencer company Doublespeed, Rosabella previously told 404 Media that it “does not use Doublespeed or any AI-generated accounts to promote our products on TikTok or any other platform. We are committed to authentic engagement and building genuine connections with our community. Regarding the claim about being viral on TikTok, this is based on organic content created by real customers and creators who love our product. We’ve seen a lot of positive buzz and user-generated videos that have helped spread the word naturally.”

Daniel Martens, a lawyer representing Humann, told 404 Media Rosabella’s strategy “makes [the] whole supplement industry look bad. If you’re masquerading as a doctor telling consumers how promising all these benefits that don’t exist [are], that’s harmful.

LinkedIn, a social network awash with long AI-generated posts from executives and other corporate workers, has introduced a new button that users can click to flag if a post “seems like AI slop,” according to 404 Media’s own tests.

If you have been anywhere near LinkedIn in the past couple of years, you have undoubtedly seen users posting blatantly AI-generated missives. Often these posts take some sort of news event, and opine on how this relates to thought leadership, or some other LinkedIn brainrot term. It’s also pretty wild the button specifically uses the term “AI slop” and not, say, “It seems this was generated with AI.”

On Wednesday the power flickered in homes from Washington DC to Chicago. The cause was a data center disconnecting from PJM — a massive power grid that connects 13 states including North Carolina, Virginia, New Jersey, and Michigan, a span that covers 67 million customers. The incident points to a larger problem with the compute warehouses fueling the AI boom: It’s physically and economically impossible to build power infrastructure fast enough to meet the demands of AI data centers and when problems occur, everyone will pay the price.

AI requires massive amounts of computer hardware to scale. That hardware is housed in data centers, and data centers demand shocking amounts of electricity. More data centers mean more demand on the grid which raises the costs of energy for everyone. This is one of the reasons people hate data centers and have begun to fight their construction.

To bypass the issue of grid demand, many data center builders have promised to power the buildings themselves. The problem with that plan is that it’s easy to build a warehouse full of GPUs. Building power plants and transmission lines to power those warehouses will take years and cost billions more than the data centers. A skilled and efficient builder can complete a data center construction in under a year. Building new energy generation to meet that data center's power needs could take a decade. 

Substack contributors are rejecting the company’s decision to flag AI generated writing on the newsletter publishing platform, with several creators saying the new AI detection features are a “witch hunt.” Some Substack users who use AI to help them write or edit articles say the new policy unfairly discriminates against them, while other users who don’t use AI in their writing at all are worried that Substack will mistakenly flag their writing as being AI generated and tarnish their reputation. 

“I’m not going to apologize for using AI in the creation process. I wrote for 20 years without AI, I could do it again if I wanted to,” Mack Collier, who has a small Substack called Backstage Pass, wrote. “My output would fall, my posts would be less structured, and it would be more obvious that they needed a good editor. Using AI improves the overall quality of my writing. That’s why I use it.”

“These detectors are notoriously, wildly inaccurate,” Alice Lemee, a ghostwriter and digital writing coach, said in a video she made about Substack’s new AI detection features. “All it takes is one false accusation for a writer to have their reputation almost irreversibly tarnished.”

Substack announced the AI detection features on Tuesday in a post from CEO Christ Best, who said that “It’s getting harder to tell what’s real on the internet” and that “when content made by no one takes over parts of the internet that are supposed to be human, it pollutes the commons and makes it hard to discover and hear human voices.”

Best explained that Substack has partnered with the AI detection tool Pangram, which is now built in to Substack and allows any user to scan a piece of writing. Pangram then produces a percentage-based score determining how much of the writing was AI or human generated. (Disclosure: Pangram previously bought an ad on 404 Media). We’ve covered research from Pangram, or research that relies on its AI detector before, showing how AI generated writing is flooding every corner of the internet. 

As we’ve previously reported, AI detectors are not perfect, and Pangram itself is not immune to labeling human content as being AI, and labeling AI as human. Max Spero, the CEO of Pangram, recently told us that the company is constantly working on minimizing errors, and that it estimates its false positive rate at roughly one in 10,000.  

“We have now built the mirror image. Pangram is a real machine, trained on vast amounts of text to make a probabilistic guess, and we have pointed it at your writing to work out whether a person is hidden inside,” Sam Illingworth, a professor and the author of Slow AI, said on his Substack in a post titled “Substack’s AI Detector and the Return of the Witch Hunt.” “To decide if there is a human on the other end, Substack asks a machine.”

Substack also added a way for users to add a “How I make this” statement, where they can explain their writing process and disclose if they use AI. 

“We’re not against people using AI to assist their work, and we think people should be free to choose which tools they use to express themselves,” Best said. “Some on the platform are human-writing maximalists, others are publicly exploring the frontier of using AI tools while sweating the details to make work they stand behind. We use AI all the time at Substack to write software, do research, and build product features like clipping, translations, and more. But people should know what they’re getting.”

“I think the best way for Substack to address this is to invite further dialogue,” Illingworth told me. “I actually really like the new feature that lets authors tell their readers how they construct their newsletters using AI, and this is the kind of dialogue they should encourage rather than ascribing a score that we know to be incorrect. My worry is that not only do these AI detectors generate false flags for non-native English speakers and neurodiverse writers, but they also remove any opportunity for dialogue because they start from a position of suspicion. Whereas what we need to be doing is developing opportunities for trust between readers and authors.”

"The tools we've introduced today are intended to increase transparency and give readers more context, not to prohibit or penalize AI-assisted writing. They do not impact discovery on the platform,” a Substack spokesperson told me. “We're also encouraging Substack publishers to add a ‘How I make this’ statement, where they can explain their process directly, including how they use (or don't use) AI, and set expectations for readers. Creators can disable detection on their posts pre- and post-publication, as well as report and remove scans on their own work that they believe are mistaken. Find more information on how the features work here.”

Substack’s attempt to detect and label AI generated content was also celebrated by many readers who are exhausted by AI slop and other internet platforms that can’t or don’t want to label it. I just published story about how there is so much unlabeled AI slop on Spotify that people are now creating their own sites to detect and label it without the company’s help.  

But the backlash from some Substack users shows that companies can’t just flip a switch if they want to ban or give users the ability to filter out AI content from their feeds. As the flood of AI writing and images we see online and the real world every day makes clear, generating slop is easy. What we’re going to do about it is still an unsolved problem.

Slime Dot, a young R&B artist from Las Vegas, currently has over 100,000 monthly listeners on Spotify. In an interview with GQ in May, after sharing an image of herself posing with Drake on Instagram, Slime Dot directly denied accusations that she was an “AI artist,” saying “The truth doesn’t matter these days. People are always gonna try to explain something they don’t fully understand and believe what they want.” GQ originally credulously published the interview and said it was “debunking the AI rumors.” Eventually, GQ added a note to the end of the article conceding Slime Dot was an AI avatar, but said the “talent behind the music remains undeniable.”

This confusion could have been avoided if Spotify had done what many of its users and critics have been begging it to do since AI music generators like Suno and Udio made it trivial to flood the internet with AI music. Spotify could flag Slime Dot and other AI-generated music on its platform as such. Other platforms, like YouTube, already do this. 

Since Spotify doesn’t do that, users can visit SoullessMusic.com, a database for “AI artists hiding on Spotify. No bands, no studios, no soul, just machines and melody.” There, Slime Dot is listed as “almost certainly AI” based on an analysis of three of the tracks and the fact that Slime Dot released such a large number of tracks in a short period of time. Alternatively, users could go to SlopTracker, where they can upload files or copy/paste links to Spotify tracks to run them through a tool which will tell them, with varying degrees of confidence, whether a song was AI-generated or not. SlopTracker found that Slime Dot’s track “Fully” was 95 percent likely to be AI generated by Suno. 

“I didn't know what's AI and what's not,” Graeme Fulton, who created SoullessMusic, told me. “And then I'm on Instagram Reels and I see loads of artists unhappy saying some artist has popped up with their song and just copied it. And there's loads of different cases where they [AI artists] would copy an artist's look and appearance […] sort of just stealing from artists.”

Last year, I wrote a story about an exceptionally bad example of what Fulton is talking about. A scammer used Spotify to publish AI-generated music under the name of a real, dead musician, seemingly in an attempt to syphon money from his popularity via streams. After I published that story I heard from several (living) artists who said the same thing happened to them. A similar case involving a Danish jazz musician was covered by Danish publications in April. 

Another reader recently told me about a popular Spotify artist that was publishing hours of Iranian jazz every week. The channel, Qajar Jazz, which popped up in December of last year, has 29,579 monthly listeners, gained more popularity after the start of the U.S. war with Iran and the channel making vague allusions to resilience and preserving culture in video descriptions and comments on YouTube. Unlike Spotify, Qajar Jazz videos on YouTube are labeled as being AI-generated in the fine print, though it’s unclear if the channel tagged itself as such or if YouTube did. Both SoullessMusic and SlopTracker detect it as being AI generated. 

Qajar Jazz did not respond to a request for comment. 

Many of the YouTube comments on Qajar Jazz videos indicate that people think the music is made by real people. In addition to creating a database of AI generated music on Spotify, SoullessMusic also collects social media posts from people who say they were similarly tricked by AI generated music. Some posts are from musicians who lament the fact that they are now competing with algorithms that can produce thousands of tracks with no effort, and others are from artists whose music was directly ripped off by AI artists. 

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Fulton said he started looking around on GitHub for open source AI music detection tools, and ended up building a new, open source detector that relies on open source models called SONICS, the lofcz vocoder fakeprint detector, and other open data sets. SoullessMusic also  scans a track’s metadata for any tags that might tie it back to a specific AI music generator, and Fulton says he also has a script that scans Wikipedia for existing entries on an artist. Users can submit tracks from Spotify to the site they suspect are AI generated, and Fulton reviews them manually before adding them to the database. Despite all of this, he admits the system is not perfect. 

Both Soulless Music and SlopTracker use AI and other automated tools to detect AI music. As we’ve written previously, using AI detectors to detect AI content is an inherently flawed process that can lead to false positives. When I asked him how he handles cases of false positives, Fulton said “it's not ideal when that happens, but it's going to happen because it's still quite tricky to check what's AI and what’s not.”

Spotify’s lack of transparency and unwillingness to label AI-generated music makes it impossible to track how much money its making on the platform. Last year, the company announced that it would it would AI disclosures on AI generated music, but I haven’t seen it on any of the dozens of tracks I reviewed for this story. Udio and Sudo both include inaudible digital watermarking in their generation, which in theory could make it easy for Spotify to tag these tracks. 

"We're employing a layered approach that combines enforcement, artist controls and greater transparency," a Spotify spokesperson told me after this article was first published. "Over the past year, we've introduced policies targeting harmful AI-related behaviors like spam, impersonation and deceptive content, alongside new tools that give artists more control and listeners more context. These include Verified by Spotify, which helps listeners identify authentic artist profiles; AI Credits, where artists disclose when and how AI was used in creating their music, with tens of thousands of AI credit disclosures now being submitted each day; and Artist Profile Protection, which gives artists more control over what appears on their profiles. We are continuing to build on these efforts.”

Spotify also pointed me to several tracks it had flagged as AI on the mobile app, like Better Times by Mike Mana.

Soulless music attempts to quantify that number based on publicly available streaming data. The small number of AI artists tracked on SoullessMusic generate an estimated $5.7 million a year, with the most popular AI artist, mikeeysmind, generating $1.5 million annually alone. In April, Deezer, a Spotify competitor that attempts to tag all AI-generated music on its platform, said 44 percent of all new music uploaded to its platform is now AI generated. SlopTracker, which attempts to track AI generated music on Spotify that is featured on official Spotify-curated playlists, that those artists are “draining” $0.1188 per second from real artists who could be making the music instead.

A judge caught a court reporter making AI-generated errors in a court transcript, and put court reporters everywhere on notice for their use of AI. 

In a memorandum decision concerning a case about a man who sold drugs to another man who overdosed and died, filed on July 23, Judge Paul Felix wrote in a footnote of the decision that a transcript contained errors that looked a lot like generative AI. The footnote was spotted by attorney Rob Freund on X.

Patreon laid off 93 employees, totaling 20 percent of its workforce on Thursday morning, according to an email to creators and staff from CEO Jack Conte.

In a message sent to everyone on the platform signed up as a creator, and posted to the site, with the subject line “A Painful Update about our Team,” Conte wrote that the business is “healthy and strong” and that the core business of Patreon is not changing. 

Conte included the email sent to Patreon employees in the message. In the email, he wrote that the company is undergoing both a “workforce reduction” and is “changing our organizational structure and how we work.” Specifically, he wrote, this means “we’re flattening the organization, refocusing teams on our top priorities, and evolving key aspects of our operations to make us faster at adapting to change.”

Conte is careful in this email to both express that he doesn’t view AI as a replacement for the human creativity the platform is built on and profits from — devoting a section of the email to saying as much — and also that AI is fundamentally “transforming” the tech industry, noting that it has an impact on how the company operates. 

“To be clear about the impact of AI on today’s decision: we are not making the above changes because we believe AI replaces humans,” Conte wrote. “The more we have learned to use these new tools, the clearer it has become that they are not substitutes for the creativity, judgment, detail orientation, or craftsmanship that our teammates have in spades, nor do they replace the desire for human connection that all of us cherish so deeply. That’s my personal opinion, but more importantly, it’s the foundation of Patreon’s strategy: our product vision and business are both predicated on the value of human creativity and human connection. AI has fundamentally transformed the tech industry, though, including how we work, how we build products, how we communicate, and more. That does have an impact on how we operate and organize.”

Earlier this month, Patreon announced that it’s partnering with Cloudflare to block crawlers from stealing creators’ work to train AI models. “I HAVE A KICKASS PRODUCT UPDATE FOR YOU ALL!” Conte wrote in a post on Instagram. “This is live and happening at the network level on all posts published on Patreon.” The company later elaborated on the partnership in a blog post.

Included in the internal email shared publicly are severance details for laid-off workers, including 16 weeks of pay, remaining on payroll through the company’s August 20 vesting date, one additional week of pay for every full year worked at the company, additional cash payments for recent hires who haven’t reached their one-year cliff, healthcare coverage through the end of the year for eligible employees and families, and a $1,500 stipend to replace their company laptops.

Long-range Ukrainian drones struck the Ilsky oil refinery in Russia's Krasnodar Krai on July 7, hitting one of the facility's technological workshops, a source in Ukraine's military intelligence (HUR) told the Kyiv Independent.

Located roughly 500 kilometers (311 miles) from Ukrainian-controlled territory, the refinery is among the largest in southern Russia, producing over 6 million tons of fuel annually.

It is involved in the reception, storage, and processing of hydrocarbons and distributes refined products via road and rail. The refinery is part of Russia's military-industrial complex and plays a direct role in supporting Moscow's war effort, the source said.

The Russian regional operational headquarters claimed that "drone debris" fell on the oil refinery.

The strike marks a renewed wave of Ukrainian attacks on Russian oil infrastructure, following a months-long pause since March. On July 1, Ukrainian drones struck the Saratovorgsintez oil refinery in Russia's Saratov Oblast.

Kyiv has targeted dozens of refineries, oil depots, and military-industrial sites since the start of Russia's full-scale invasion in 2022. Winter drone attacks forced at least four Russian refineries to temporarily shut down.

This is the second known strike on the Ilsky refinery. Ukrainian drones, operated by the Security Service (SBU) and Special Operations Forces (SSO), previously targeted the facility on Feb. 17, causing a fire.

Krasnodar Krai, a strategic region along Russia's Black Sea coast, has increasingly come under Ukrainian drone attacks as Kyiv extends the range of its strikes deep into Russian territory.

HUR publishes Russian military order, claims proof of Moscow increasing military footprint in Armenia

HUR first made the claim on July 5, saying Russia was increasing its forces at the Gyumri base to exert greater influence in the South Caucasus and “destabilize the global security situation.”

The Kyiv IndependentChris York

Drones attacked Russia's Black Sea Fleet at the port of Novorossiysk in Krasnodar Krai overnight on July 6, the Russian media outlet Astra reported.

Ukraine has not officially commented on the reported strikes, and the Kyiv Independent could not independently verify the claims.

An air alert was sounded in the city for several hours, and air defense was active. The consequences of the attack are still being determined, according to Astra.

The media outlet also published footage purportedly showing a burning maritime drone that was allegedly shot down during the attack.

Krasnodar Krai is located east of Crimea, with the Kerch Strait separating them at their closest point.

Ukraine regularly strikes military targets within Russia as Moscow continues to wage its war against Ukraine.

The Russian Defense Ministry claimed that Russian forces downed 120 drones overnight on July 6.

Thirty drones were shot down over Bryansk Oblast, 29 over Kursk Oblast, and 18 over Oryol Oblast, according to the ministry. An additional 17 and 13 drones were reportedly intercepted over Belgorod and Tula oblasts, respectively, the ministry said.

Due to drone attacks in Russia, numerous flights were canceled or delayed at several airports, including Moscow's Sheremetyevo Airport, overnight between July 5 and July 6.

Ukrainian drone strike on Russian airfield hits bomb depot, aircraft

The airfield hosts Su-34, Su-35S, and Su-30SM jets that Russia regularly uses in air strikes against Ukraine, according to the Ukrainian military.

The Kyiv IndependentOlena Goncharova

Grammarly, a company with Ukrainian roots, announced its intent to acquire AI email writing app Superhuman as part of its expansion into an AI productivity platform, the company said in a press release on July 1.

Grammarly is the most valuable company with Ukrainian roots, reaching $13 billion valuation as of 2021. Grammarly was founded in 2009 in Kyiv by Oleksii Shevchenko, Maksym Lytvyn, and Dmytro Lider.

According to Grammarly's press release, email is Grammarly's top use case, with the platform editing over 50 million emails weekly.

Superhuman is an AI email application that the company says helps users respond to emails faster and reduces time spent on email communications.

Users are already sending and responding to 72% more emails per hour after using Superhuman compared to the previous period, according to Grammarly.

"This is the future we've been building toward since day one: AI that works where people work, not where companies want them to work," said Shishir Mehrotra, Grammarly's CEO.

The acquisition follows Grammarly's recent purchase of Coda, a productivity tool company. The combined platforms will allow users to work with multiple AI agents for different tasks within email communications.

Grammarly says that its service is used daily by over 40 million users, generating annual revenue of more than $700 million for the company.

As Russia ramps up missile attacks, US halts promised air defense shipments to Ukraine

Among the items being held back from Ukraine are Patriot air defense missiles, precision artillery rounds, Hellfire missiles, and drones, three sources told Politico.

The Kyiv IndependentAbbey Fenbert