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.
If you’re tired of running your vacuum multiple times just to get the dirt and debris out of the carpets in your living room, Dyson’s 360 Vis Nav is worth a look. It’s one of the more powerful robot vacuums currently available, and now through May 11th (or while supplies last), it’s on sale at Woot for an all-time low of $279.99 ($919 off) with a full two-year warranty.
The last-gen 360 Vis Nav offers a whopping 65 air watts of suction, allowing it to pull dirt, dust, and pet hair from carpets impressively well. In her brief time testing the robovac, my colleague Jennifer Pattison Tuohy said the Dyson “demolished a pile of dry oatmeal in seconds,” adding that she briefly worried it might even suck up the tassels on her large rug (it didn’t). By comparison, many robot vacuums — including Dyson’s new $1,200 Spot + Scrub AI — require multiple passes to fully eradicate the same kind of mess on your floor.
What’s more, the robovac’s small, D-shaped design and the location of its ultra-fluffy brush allow it to dig into edges and corners more effectively than many of the more roundish robot vacuums, while its lower profile lets it easily get under most beds and sofas. The roomy 500ml dustbin also means you likely won’t need to empty it too often, while Dyson’s built-in handle and terrific quick-release button make removing said bin a relatively simple task when it’s time to do so.
While it is undeniably powerful, it’s worth noting that the 360 Vis Nav lacks a few features found on some of its more modern rivals. Although its navigation worked well enough during our testing, it lacks AI-powered obstacle avoidance and doesn’t come with a self-emptying dock. Battery life is also relatively short at around 65 minutes per charge. Nonetheless, if your top priority is quickly removing dust, dirt, and pet hair from carpets without multiple passes, the Dyson remains an option worth considering, especially at this discounted price.
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We’ve often warned you about romance scams and crypto “investment” opportunities that feel too good to pass up. Now, there’s a major update that shows just how organized these operations have become.
The Department of Justice and Federal Bureau of Investigation announced a sweeping international operation that led to at least 276 arrests and the shutdown of multiple scam centers tied to cryptocurrency fraud. These networks targeted Americans and drained millions of dollars from victims.
The operation spanned continents and involved coordinated efforts by law enforcement and tech companies.
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TOP 5 SCAMS SPREADING RIGHT NOW
The Department of Justice and FBI say international scam networks used romance and fake crypto investment schemes to steal millions from victims. (Helena Dolderer/Picture Alliance)
How the cryptocurrency scam crackdown unfolded
Authorities worked with partners around the world, including the Dubai Police and law enforcement agencies in Thailand and beyond. Together, they dismantled at least nine scam centers linked to large-scale crypto fraud.
Several suspects now face federal charges in the United States, including wire fraud and money laundering. Investigators say these operations functioned like businesses, with recruitment, management layers and structured systems designed to deceive victims.
Officials made it clear that this effort sends a message. Fraud crosses borders, and enforcement is now doing the same.
How crypto investment scams target victims
These schemes often follow a pattern known as “pig-butchering.” It is a slow, calculated tactic that builds trust before any money is involved.
A scammer may reach out through social media or a messaging app and start a casual conversation. Over time, that interaction turns more personal. In some cases, it feels like a real relationship. Once trust is established, the topic shifts toward investing, often framed as a unique crypto opportunity.
Victims are guided through setting up accounts and transferring funds to platforms that appear legitimate. The dashboards may even show fake gains to build confidence. At that point, control of the money is already gone. Funds are quickly moved through multiple accounts and eventually end up with the scammers.
Many victims are encouraged to keep going, sometimes borrowing money or taking out loans to invest more. By the time the truth becomes clear, the losses can be devastating.
How Meta Platforms, Inc. helped track scam networks
Meta Platforms, Inc. played a key role in the investigation by providing data that helped law enforcement identify and track these networks.
The company says it has taken aggressive action across its platforms. In 2025 alone, Meta removed more than 159 million scam ads and shut down 10.9 million accounts linked to scam centers. More recently, it disabled over 150,000 accounts connected to these networks as part of a coordinated enforcement effort.
“Meta is committed to combatting online fraud and scams, and we are proud to partner with law enforcement in these efforts,” Chris Sonderby, Meta’s vice president and deputy general counsel, said. “We applaud the DOJ and FBI for their leadership in holding criminal scammers accountable and protecting American consumers.”
FROM FRIENDLY TEXT TO FINANCIAL TRAP: THE NEW SCAM TREND
Federal authorities announced a sweeping international crackdown that led to at least 276 arrests tied to cryptocurrency scam centers targeting Americans. (Kurt “CyberGuy” Knutsson)
New tools to stop cryptocurrency scams in real time
Meta is also rolling out new protections across its apps to help users spot scams before they get pulled in.
On Facebook, users may see alerts tied to suspicious friend requests, especially when an account shows unusual behavior such as limited connections or inconsistent location details.
On WhatsApp, new warnings are designed to prevent scammers from linking their own devices to someone else’s account, giving users a chance to pause before approving a risky request.
Messenger is also expanding its scam detection tools. When a conversation shows patterns linked to common fraud tactics, users may receive prompts that explain the risk and suggest actions like blocking or reporting the account.
Why this cryptocurrency scam crackdown matters to you
This operation highlights how organized these scam networks have become. These are not random messages from a single person. They are coordinated groups running structured operations designed to build trust, create urgency and move money quickly.
Even with hundreds of arrests, the threat remains. New networks continue to emerge, often using the same playbook with slight changes. That means staying informed is still one of the most effective ways to protect yourself.
Ways to stay safe from cryptocurrency scams
Scammers follow familiar patterns, which means there are clear warning signs you can watch for and simple steps you can take to protect yourself.
1) Slow down unexpected connections
If someone you do not know reaches out and quickly builds a personal connection, slow things down and question the situation. Scammers rely on momentum, so taking a pause can help you spot inconsistencies.
2) Verify investment platforms before sending money
Before sending money to any investment platform, take time to verify that it is legitimate. A professional-looking website or app does not guarantee it is real. Look for independent reviews and official registration details.
3) Avoid sending crypto to unknown sources
Avoid sending cryptocurrency to individuals or platforms you cannot confirm. Once those transactions go through, they are extremely difficult to recover.
4) Watch for pressure and urgency
Be aware of pressure. If someone pushes you to act quickly or invest more, that urgency is often a warning sign.
5) Use strong antivirus protection
Strong antivirus software can help block malicious links, fake investment sites and other threats before they reach you, adding another layer of defense against scam attempts. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android and iOS devices at Cyberguy.com.
THE ONE THING SCAMMERS CHECK BEFORE TARGETING YOU ONLINE
Meta said it removed more than 159 million scam ads in 2025 and helped investigators track networks tied to cryptocurrency fraud. (Halfpoint/Getty Images)
6) Limit your personal data exposure
Scammers often rely on publicly available information to build trust. Reducing how much of your personal data appears online by using a data removal service can make it harder for them to target you in the first place. 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.
7) Strengthen your account security
It also helps to strengthen your digital security. Enable two-factor authentication (2FA) on your accounts and use trusted security tools to reduce exposure to malicious links and messages.
8) Report scams as soon as possible
If you believe you have been targeted or defrauded, report it to the FBI’s Internet Crime Complaint Center at ic3.gov as soon as possible.
Kurt’s key takeaways
This global crackdown is a meaningful step forward. It shows what can happen when law enforcement, tech companies and international partners work together. At the same time, these scams are not going away. The tactics will continue to evolve, and new networks will take the place of those that were shut down. Awareness and caution remain your strongest defenses.
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We report a lot about scams but not so much about scammers getting caught. Does this make you feel like real progress is being made in stopping them? Let us know by writing to us at CyberGuy.com.
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Asus’s latest gaming monitor is a little smaller than usual. The ROG Strix XG129C, announced on Friday, is a 12.3-inch touchscreen IPS display that’s intended to be a sidekick for a larger main monitor, similar to the 14.1-inch secondary display in the 2020 Asus ROG Zephyrus Duo 15. It’s a slightly smaller competitor to Corsair’s Xeneon Edge, which has a 14.5-inch display, but the same 720p resolution.
Asus says the XG129C covers 125 percent of the sRGB color gamut and 90 percent of the DCI-P3 color gamut. It also comes with a one-year subscription for the hardware monitoring tool AIDA64 Extreme, which would usually cost $65. Besides acting as a performance monitor for your PC, sidekick displays like this can also be handy as an extension for streaming or editing setups, much like Elgato’s Stream Deck.
Along with the little XG129C, Asus also announced the ROG Strix OLED XG34WCDMS, a 34-inch RGB Tandem QD-OLED gaming monitor. It features a 280Hz refresh rate and a 3440 x 1440p resolution, and, according to Asus, covers 99 percent of the DCI-P3 color gamut. Asus has not yet officially announced pricing for either display.
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