It has become almost impossible to browse the internet without having an AI-generated video thrust upon you. Open basically any social media platform, and it won’t be long until an uncanny-looking clip of a fake natural disaster or animals doing impossible things slides across your screen. Most of the videos look absolutely terrible. But they’re almost always accompanied by hundreds, if not thousands, of likes and comments from people insisting that AI-generated content is a new art form that’s going to change the world.
Technology
Hollywood’s pivot to AI video has a prompting problem
That has been especially true of AI clips that are meant to appear realistic. No matter how strange or aesthetically inconsistent the footage may be, there is usually someone proclaiming that it’s something the entertainment industry should be afraid of. The idea that AI-generated video is both the future of filmmaking and an existential threat to Hollywood has caught on like wildfire among boosters for the relatively new technology.
The thought of major studios embracing this technology as is feels dubious when you consider that, oftentimes, AI models’ output simply isn’t the kind of stuff that could be fashioned into a quality movie or series. That’s an impression that filmmaker Bryn Mooser wants to change with Asteria, a new production house he launched last year, as well as a forthcoming AI-generated feature film from Natasha Lyonne (also Mooser’s partner and an advisor at Late Night Labs, a studio focused on generative AI that Mooser’s film and TV company XTR acquired last year).
Asteria’s big selling point is that, unlike most other AI outfits, the generative model it built with research company Moonvalley is “ethical,” meaning it has only been trained on properly licensed material. Especially in the wake of Disney and Universal suing Midjourney for copyright infringement, the concept of ethical generative AI may become an important part of how AI is more widely adopted throughout the entertainment industry. However, during a recent chat, Mooser stresses to me that the company’s clear understanding of what generative AI is and what it isn’t helps set Asteria apart from other players in the AI space.
“As we started to think about building Asteria, it was obvious to us as filmmakers that there were big problems with the way that AI was being presented to Hollywood,” Mooser says. “It was obvious that the tools weren’t being built by anybody who’d ever made a film before. The text-to-video form factor, where you say ‘make me a new Star Wars movie’ and out it comes, is a thing that Silicon Valley thought people wanted and actually believed was possible.”
In Mooser’s view, part of the reason some enthusiasts have been quick to call generative video models a threat to traditional film workflows boils down to people assuming that footage created from prompts can replicate the real thing as effectively as what we’ve seen with imitative, AI-generated music. It has been easy for people to replicate singers’ voices with generative AI and produce passable songs. But Mooser thinks that, in its rush to normalize gen AI, the tech industry conflated audio and visual output in a way that’s at odds with what actually makes for good films.
“You can’t go and say to Christopher Nolan, ‘Use this tool and text your way to The Odyssey,’” Mooser says. “As people in Hollywood got access to these tools, there were a couple things that were really clear — one being that the form factor can’t work because the amount of control that a filmmaker needs comes down to the pixel level in a lot of cases.”
To give its filmmaking partners more of that granular control, Asteria uses its core generative model, Marey, to create new, project-specific models trained on original visual material. This would, for example, allow an artist to build a model that could generate a variety of assets in their distinct style, and then use it to populate a world full of different characters and objects that adhere to a unique aesthetic. That was the workflow Asteria used in its production of musician Cuco’s animated short “A Love Letter to LA.” By training Asteria’s model on 60 original illustrations drawn by artist Paul Flores, the studio could generate new 2D assets and convert them into 3D models used to build the video’s fictional town. The short is impressive, but its heavy stylization speaks to the way projects with generative AI at their core often have to work within the technology’s visual limitations. It doesn’t feel like this workflow offers control down to the pixel level just yet.
Mooser says that, depending on the financial arrangement between Asteria and its clients, filmmakers can retain partial ownership of the models after they’re completed. In addition to the original licensing fees Asteria pays the creators of the material its core model is trained on, the studio is “exploring” the possibility of a revenue sharing system, too. But for now, Mooser is more focused on winning artists over with the promise of lower initial development and production costs.
“If you’re doing a Pixar animated film, you might be coming on as a director or a writer, but it’s not often that you’ll have any ownership of what you’re making, residuals, or cut of what the studio makes when they sell a lunchbox,” Mooser tells me. “But if you can use this technology to bring the cost down and make it independently financeable, then you have a world where you can have a new financing model that makes real ownership possible.”
Asteria plans to test many of Mooser’s beliefs in generative AI’s transformative potential with Uncanny Valley, a feature film to be co-written and directed by Lyonne. The live-action film centers on a teenage girl whose shaky perception of reality causes her to start seeing the world as being more video game-like. Many of Uncanny Valley’s fantastical, Matrix-like visual elements will be created with Asteria’s in-house models. That detail in particular makes Uncanny Valley sound like a project designed to present the hallucinatory inconsistencies that generative AI has become known for as clever aesthetic features rather than bugs. But Mooser tells me that he hopes “nobody ever thinks about the AI part of it at all” because “everything is going to have the director’s human touch on it.”
“It’s not like you’re just texting, ‘then they go into a video game,’ and watch what happens, because nobody wants to see that,” Mooser says. “That was very clear as we were thinking about this. I don’t think anybody wants to just see what computers dream up.”
Like many generative AI advocates, Mooser sees the technology as a “democratizing” tool that can make the creation of art more accessible. He also stresses that, under the right circumstances, generative AI could make it easier to produce a movie for around $10–20 million rather than $150 million. Still, securing that kind of capital is a challenge for most younger, up-and-coming filmmakers.
One of Asteria’s big selling points that Mooser repeatedly mentions to me is generative AI’s potential to produce finished works faster and with smaller teams. He framed that aspect of an AI production workflow as a positive that would allow writers and directors to work more closely with key collaborators like art and VFX supervisors without needing to spend so much time going back and forth on revisions — something that tends to be more likely when a project has a lot of people working on it. But, by definition, smaller teams translates to fewer jobs, which raises the issue of AI’s potential to put people out of work. When I bring this up with Mooser, he points to the recent closure of VFX house Technicolor Group as an example of the entertainment industry’s ongoing upheaval that began leaving workers unemployed before the generative AI hype came to its current fever pitch.
Mooser was careful not to downplay that these concerns about generative AI were a big part of what plunged Hollywood into a double strike back in 2023. But he is resolute in his belief that many of the industry’s workers will be able to pivot laterally into new careers built around generative AI if they are open to embracing the technology.
“There are filmmakers and VFX artists who are adaptable and want to lean into this moment the same way people were able to switch from editing on film to editing on Avid,” Mooser says. “People who are real technicians — art directors, cinematographers, writers, directors, and actors — have an opportunity with this technology. What’s really important is that we as an industry know what’s good about this and what’s bad about this, what is helpful for us in trying to tell our stories, and what is actually going to be dangerous.”
What seems rather dangerous about Hollywood’s interest in generative AI isn’t the “death” of the larger studio system, but rather this technology’s potential to make it easier for studios to work with fewer actual people. That’s literally one of Asteria’s big selling points, and if its workflows became the industry norm, it is hard to imagine it scaling in a way that could accommodate today’s entertainment workforce transitioning into new careers. As for what’s good about it, Mooser knows the right talking points. Now he has to show that his tech — and all the changes it entails — can work.
Technology
Chinese robot breaks human world record in Beijing half-marathon
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A Chinese-built humanoid robot beat the human half-marathon world record in Beijing on Sunday, marking a breakthrough moment in a high-stakes global race for technological dominance.
A robot developed by Chinese smartphone maker Honor completed the 21-kilometer (13-mile) race in 50 minutes and 26 seconds, beating the human record of about 57 minutes set by Uganda’s Jacob Kiplimo last month.
The performance marked a dramatic improvement from last year’s inaugural event, when the top robot finished in more than 2 hours and 40 minutes.
Dozens of humanoid robots competed alongside about 12,000 human runners, navigating a parallel course to avoid collisions.
CHINA’S COMPACT HUMANOID ROBOT SHOWS OFF BALANCE AND FLIPS
A robot crosses the finish line in the Beijing E-Town Half Marathon and Humanoid Robot Half-Marathon held in the outskirts of Beijing on April 19, 2026. (Andy Wong/AP)
Nearly half of the robots ran using autonomous navigation, while others relied on remote control, organizers said.
Despite the breakthrough, the race still saw glitches, with some robots stumbling at the start or veering into barriers.
Engineers said the winning robot was designed to mimic elite athletes, featuring long legs of about 37 inches and advanced cooling systems to sustain performance.
US TARGETS CHINESE ROBOTS OVER SECURITY FEARS
“Looking ahead, some of these technologies might be transferred to other areas,” said Du Xiaodi, an engineer with the Honor team. “For example, structural reliability and liquid-cooling technology could be applied in future industrial scenarios.”
Team members celebrate next to the winning Honor Lightning humanoid robot during a medal ceremony after the second Beijing E-Town Half Marathon and Humanoid Robot Half Marathon in Beijing, China, on April 19, 2026. (Maxim Shemetov/Reuters)
Spectators reacted with a mix of amazement and unease at the machines’ rapid progress.
“It’s the first time robots have surpassed humans, and that’s something I never imagined,” Sun Zhigang, who attended the event with his son, told The Associated Press.
HUMANOID ROBOTS HIT MASS PRODUCTION IN CHINA
“The robots’ speed far exceeds that of humans,” spectator Wang Wen told the outlet. “This may signal the arrival of sort of a new era.”
A robot starts alongside human runners at the Beijing E-Town Half Marathon and Humanoid Half Marathon on the outskirts of Beijing on April 19, 2026. (Ng Han Guan/AP)
Experts say the race highlights China’s accelerating push to dominate robotics and artificial intelligence, even as widespread commercial use of humanoid robots remains limited, according to Reuters. The experts said Chinese robotics firms are still working to develop the AI software needed for humanoids to match the efficiency of human factory workers.
Runners take pictures of a humanoid robot during the second Beijing E-Town Half Marathon and Humanoid Robot Half Marathon in Beijing on April 19, 2026. (Haruna Furuhashi/Pool Photo via AP)
“The future will definitely be an AI era,” engineering student Chu Tianqi told Reuters. “If people don’t know how to use AI now … they will definitely become obsolete.”
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The competition underscores a broader technological race between China and the United States, as Beijing invests heavily in advanced robotics as part of its long-term economic strategy.
The Associated Press and Reuters contributed to this report.
Technology
The RAM shortage could last years
According to Nikkei Asia, even as suppliers ramp up DRAM production, manufacturers are only expected to meet 60 percent of demand by the end of 2027. SK Group chairman has even said that shortages could last until 2030.
The world’s largest memory makers — Samsung, SK Hynix, and Micron — are all working to add new fabrication capacity, but almost none of it will be online until at least 2027, if not 2028. SK opened a fab in Cheongju in February, but that is the only increase in production among the three for 2026.
Nikkei says that production would need to increase by 12 percent a year in 2026 and 2027 to meet demand. But according to Counterpoint Research, an increase of only 7.5 percent is planned.
The new facilities will primarily focus on producing high-bandwidth memory (HBM), which is used in AI data centers. With the companies already prioritizing HBM over general-purpose DRAM used in computers and phones, it’s not clear how much these new fabs will help alleviate the price crunch facing consumer electronics. Everything from phones and laptops, to VR headsets and gaming handhelds have seen price increases due to the RAM shortage.
Technology
The one thing scammers check before targeting you online
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Most people assume scammers need to hack something. A database. A password. A bank system. They don’t.
In most cases, everything a scammer needs to target you is already sitting online, publicly available, completely legal to access, and surprisingly easy to find.
Here’s what they’re actually looking at before they ever pick up the phone.
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Data broker listings often include sensitive details like your address, phone number and relatives, making removal a critical first step. (Kurt “CyberGuy” Knutsson)
Your personal profile is already out there, and it’s more complete than you think
There’s an entire industry built around collecting and selling your personal information. It’s called data brokering, and most people have never heard of it.
Right now, without your knowledge or consent, your details are being published by dozens of websites, including:
- People search sites (like Whitepages, Spokeo, and BeenVerified): your full name, current address, phone numbers, and age.
- Address lookup tools: your current and past home addresses, sometimes going back decades.
- Relatives databases: the names and contact information of your family members, automatically linked to your profile.
- Property records: whether you own your home, what it’s worth, and when you bought it.
None of this requires a hack. It’s all pulled from public records, voter registrations, court filings, real estate transactions, marriage and divorce records and assembled into a profile that anyone can search for a few dollars or sometimes for free.
They’re not guessing. They’re researching
In 2024, federal prosecutors indicted a network of scam call centers operating out of Montreal that had defrauded hundreds of elderly Americans out of more than $21 million. What made the scheme so effective wasn’t sophisticated technology. It was a spreadsheet.
The scammers were working from lists of potential victims that included names, ages, and household income information pulled from commercial databases. They used those lists to identify targets, then called them pretending to be grandchildren in trouble. The calls were convincing enough that victims handed over thousands of dollars, sometimes in cash picked up at the door.
They didn’t hack anyone. They just did their research first.
WHY WIDOWS AND DIVORCED WOMEN ARE TARGETS FOR RETIREMENT SCAMS
A call that sounds personal or urgent often relies on real information found about you online. (Kurt “CyberGuy” Knutsson)
Three ways scammers turn your public data into a weapon
Scammers use your publicly available data to make their attacks more personal, believable and harder to detect. Here are three ways they do it.
1) Impersonating your bank
A scammer calls and says, “Hi, this is fraud prevention at [your bank]. We’re seeing suspicious activity on your account ending in 4721.”
They already know your bank, your name, and possibly your address. That’s enough to sound legitimate. From there, they walk you through “confirming your identity,” which is really just you handing over the information they need to access your account.
This kind of scam starts with a simple people-search lookup. Your name and address lead to property records. Property records suggest your income range.
2) The family emergency call
Imagine getting a call: “Meemaw, it’s me. I’m in trouble. Please don’t tell Mom.” Scammers don’t guess. Instead, they research your family first. They use relatives’ databases to find your children’s names, ages and connections.
With that information, they build a story that sounds real. For example, they know to call you “Meemaw.” They also know which grandchild to impersonate. In some cases, they even mention a sibling’s name to make the story more convincing.
As a result, the call feels personal and urgent. However, none of it is random. It’s all based on information that was publicly available the entire time.
3) Targeted phishing with your own details
A phishing email that says “Dear Customer” is easy to ignore. One that says “Dear [your full name], we noticed unusual activity on your account registered to [your home address]” is a lot harder to dismiss.
Scammers use publicly available data to personalize attacks, adding your real name, city, or even a reference to your neighborhood to make a fake email or text look authentic. The more specific the details, the more likely you are to believe it.
“But I’m not on social media.” This is the most common objection, and it misses the point entirely.
You don’t have to be on social media for your information to be online. Data brokers pull from public records, not your Facebook profile. Your information is likely already listed on dozens of sites because of:
The less they think they’ve shared, the more surprised people usually are when they search for themselves on a people-search site for the first time.
DATA BROKERS ACCUSED OF HIDING OPT-OUT PAGES FROM GOOGLE
The more details a scam includes, the more likely it is built from your publicly available data. (Kurt “CyberGuy” Knutsson)
How to reduce your exposure
You don’t have to accept this as permanent. A few practical steps can help:
- Search your full name on Whitepages, Spokeo, FastPeopleSearch, and other people-search sites and submit opt-out requests.
- Look up your address directly, not just your name, since many listings are organized by location.
- Ask elderly family members to search for themselves, too, since older adults are disproportionately targeted.
- Be skeptical of any call that opens with personal details, as it can be a sign that someone researched you first.
How to remove your personal data and stop scammers from finding you
The challenge is that there are hundreds of data broker sites, each with its own removal process. Manually opting out of all of them can take hours, and your information often reappears weeks later when brokers refresh their databases.
That’s why ongoing automated removal is the only approach that actually works. That’s why I recommend using a trusted data removal service.
These services automatically contact data brokers on your behalf and request the removal of your personal information. They also continue monitoring those sites and submit new removal requests if your data reappears.
Many services remove personal data from hundreds of data broker and people-search websites, and some plans allow you to request removals from additional sites as needed.
Some have also received third-party assurance from independent firms, helping validate their claims.
The goal is simple: make it much harder for strangers, scammers, and cybercriminals to find your personal information online.
These services often include a money-back guarantee, so you can try them risk-free and see how much of your information is exposed online.
Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting Cyberguy.com
Get a free scan to find out if your personal information is already out on the web: Cyberguy.com
Kurt’s key takeaways
Most scams don’t start with a breach. They start with a search. Your name, address, relatives and even income clues are already out there, quietly fueling more convincing and more dangerous attacks. That’s what makes this so unsettling. You can do everything “right” online and still be exposed because the system itself is built to share your information. The good news is you’re not powerless. Once you understand how scammers build their playbook, you can start disrupting it. Removing your data, limiting exposure and staying skeptical of anyone who knows a little too much about you can dramatically reduce your risk. The goal isn’t to disappear completely. It’s to make yourself a much harder target.
What should be done to stop scammers from using your publicly available data against you in the first place? Let us know by writing to us at Cyberguy.com
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- For simple, real-world ways to spot scams early and stay protected, visit CyberGuy.com trusted by millions who watch CyberGuy on TV daily.
- Plus, you’ll get instant access to my Ultimate Scam Survival Guide free when you join.
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