Technology

Hollywood’s pivot to AI video has a prompting problem

Published

7 months ago

June 29, 2025

Hollywood’s pivot to AI video has a prompting problem

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.

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.

Related Topics:ai Entertainment film tv-shows

Click to comment

Technology

Substack data breach exposed users’ emails and phone numbers

Published

8 hours ago

February 5, 2026

Press Room

Substack data breach exposed users’ emails and phone numbers

Substack is notifying some users that the email addresses and phone numbers linked to their accounts were exposed in a “security incident” last year. In an email to account holders, Substack CEO Chris Best said that a hacker had accessed internal data without authorization in October 2025, but that passwords, credit card numbers, and other financial information remain secure.

“On February 3rd, we identified evidence of a problem with our systems that allowed an unauthorized third party to access limited user data without permission, including email addresses, phone numbers, and other internal metadata,” Best said in the email. “We do not have evidence that this information is being misused, but we encourage you to take extra caution with any emails or text messages you receive that may be suspicious.”

Substack says that it has since fixed the security problem, and is now conducting a full investigation alongside bolstering its systems “to prevent this type of issue from happening in the future.” The platform didn’t provide any details regarding what the security issue was, or how many users have been impacted — myself and several Verge colleagues who also use Substack did not receive the email. We have reached out to Substack for clarification.

“I’m incredibly sorry this happened,” Best said in the email to users. “We take our responsibility to protect your data and your privacy seriously, and we came up short here.”

Technology

How tech is being used in Nancy Guthrie disappearance investigation

Published

8 hours ago

February 5, 2026

Press Room

How tech is being used in Nancy Guthrie disappearance investigation

NEWYou can now listen to Fox News articles!

Nancy Guthrie, the 84-year-old mother of “Today” show co-anchor Savannah Guthrie, was reported missing from her home in the Catalina Foothills area near Tucson after she failed to appear for church and could not be reached by family. When deputies arrived, several things stood out. Her phone, wallet and car keys were inside the home. The daily medication she relies on was left behind. Given her age and mobility challenges, investigators said she would not have left voluntarily.

The Pima County Sheriff’s Department has since stated publicly that the case is being treated as a suspected abduction, and the home was processed as a crime scene. As the search continues, investigators are piecing together not only physical evidence and witness tips, but also the digital trail left behind by everyday technology.

Sign up for my FREE CyberGuy Report
Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox. Plus, you’ll get instant access to my Ultimate Scam Survival Guide – free when you join my CYBERGUY.COM newsletter.

149 MILLION PASSWORDS EXPOSED IN MASSIVE CREDENTIAL LEAK

Investigators are examining digital clues from phones, cameras and networks to help narrow the timeline in the Nancy Guthrie missing person investigation. (Courtesy of NBC)

Why technology matters in missing person investigations

In cases like this, technology rarely delivers a single smoking gun. Instead, it helps investigators answer quieter but critical questions that shape a timeline. Investigators ask when everything still looked normal. They look for the moment when devices stopped communicating. They try to pinpoint when something changed. Phones, medical devices, cellular networks and cameras generate timestamps. Those records help narrow the window when events may have taken a dangerous turn.

YOUR PHONE SHARES DATA AT NIGHT: HERE’S HOW TO STOP IT

Smart cameras and neighborhood footage can provide crucial time markers, even when images are unclear or partially obscured. (Courtesy of NBC)

How investigators connect data across agencies

Behind the scenes, investigators rely on advanced analytical systems to connect information from multiple sources and jurisdictions. In Tucson and across Pima County, law enforcement agencies use artificial intelligence-assisted crime analysis platforms such as COPLINK, which allows data sharing with at least 19 other police departments across Arizona. These systems help investigators cross-reference tips, reports, vehicle data and digital evidence more quickly than manual searches.

The Pima County Sheriff’s Department, Tucson Police Department and the FBI also work through real-time analytical crime centers, including Tucson’s Real-Time Analytical Crime Center (TRACC). These centers allow analysts to review large volumes of data together, from phone records and license plate reads to surveillance timestamps.

This type of analysis does not replace traditional police work. It helps narrow timelines, rule out possibilities and prioritize leads as new information comes in.

Bluetooth data and Apple’s potential role

iOS may retain low-level Bluetooth artifacts outside the pacemaker app. Access to this data typically requires:

Legal process
Apple cooperation
Device forensic extraction

Bluetooth artifacts cannot determine distance. They cannot show that two devices were a few feet apart. What they can sometimes provide is timestamp correlation, confirming that a Bluetooth interaction occurred. That correlation can help align pacemaker activity with phone movement or inactivity. It is not publicly known whether Apple has been formally contacted in this case. An inquiry has been made. Apple typically does not comment on specific investigations but may confirm what categories of data could be available.

What the iPhone itself may reveal

Even without medical data, the iPhone left behind may provide valuable corroboration. With proper legal access, investigators may examine:

Motion sensor activity
Cellular network connections
Wi-Fi associations
Camera metadata
Power and usage patterns

This data can help establish whether the phone moved unexpectedly or stopped being used at a specific time. Again, the value lies in confirming timelines, not speculating motives.

Cell tower data and coverage around the home

Public mapping databases show dense cellular coverage in the area surrounding the Guthrie residence. There are 41 cell towers within a three-mile radius. The closest carrier towers are approximately:

AT&T at 1.0 mile
Verizon at 1.4 miles
T-Mobile at 3.0 miles

Carrier records can be analyzed to identify device connections, sector handoffs and anomalous activity during the critical window between Saturday evening and Sunday morning. This analysis is complex, but it can help confirm whether a device moved or disconnected unexpectedly.

Cameras, license plate readers and neighborhood footage

Investigators are also reviewing surveillance systems. Tucson primarily uses Verkada cameras integrated with the Fusus platform. Flock Safety cameras are used in other parts of the region, including South Tucson.

More than 200 automatic license plate readers are deployed in the broader area, allowing investigators to review historical vehicle movements during the critical time window. These systems can capture license plates, vehicle make and color, vehicle type and alerts tied to suspect vehicles.

Private sources may matter just as much. Neighbor doorbell cameras and home systems can provide important timeline markers, even if the footage is grainy. Some modern vehicles also record motion near parked cars if settings are enabled.

SUPER BOWL SCAMS SURGE IN FEBRUARY AND TARGET YOUR DATA

Everyday devices quietly record timestamps that may help investigators understand when something has changed and where to look next. (Courtesy of NBC)

Ways to keep your loved ones safe

Technology can help protect older or vulnerable relatives, but it works best when combined with everyday habits that reduce risk.

1) Use connected cameras

Install smart doorbell cameras and outdoor security cameras that notify family members when someone unfamiliar appears. Alerts can matter just as much as recorded footage. Many newer systems allow AI-based person detection, which can alert you when an unknown person is seen at certain times of day or night. These alerts can be customized, so family members know when activity breaks a normal pattern, not just when motion is detected.

2) Wear an emergency pendant or medical alert device

Emergency pendants and wearable SOS devices let someone call for help with a single press. Many newer models work outside the home and can alert caregivers if a fall is detected. Some devices also include GPS, which helps when someone becomes disoriented or leaves home unexpectedly. This remains one of the most overlooked safety tools for older adults.

3) Enable device sharing and safety features

If your loved one agrees, enable location sharing, emergency contacts and built-in safety features on their phone or wearable.

On smartphones, this can include:

Emergency SOS
Medical ID access from the lock screen
Trusted location sharing through apps like Find My

These features work quietly in the background, allowing help to reach the right people quickly without requiring daily interaction.

4) Create simple check-in routines

Use apps, text reminders or calendar alerts that prompt regular check-ins. If a message goes unanswered, it creates a reason to follow up quickly instead of assuming everything is fine. Consistency matters more than complexity.

5) Use devices with passive safety monitoring

Some phones, wearables and home systems can detect changes in normal daily activity without requiring a button press. For example, smartphones and smartwatches can notice when movement patterns suddenly stop or change. If a device that usually moves every morning stays still for hours, that shift can trigger alerts or prompt a check-in from a caregiver. Smart home systems can also flag unusual inactivity. Motion sensors that normally register movement throughout the day may show a long gap, which can signal that something is wrong. Passive monitoring works in the background. It reduces the need for constant interaction while still creating early warning signs when routines break.

6) Know emergency contacts and escalation steps

Enable smart alerts from home security systems so that family members know when doors open late at night, remain open longer than normal or when systems are armed or disarmed. Fire and smoke listener alerts and bedside panic buttons add another layer of protection, especially overnight. Car apps can also share safety signals, such as when a vehicle is unlocked, a door or window is left open or when location sharing is enabled with trusted family members.

“No single device can protect someone on its own,” a law enforcement expert told CyberGuy. “What helps most is layering. A camera paired with a wearable. A phone paired with check-ins. Technology paired with human attention. Each layer adds context and reduces blind spots. Together, they create earlier warnings and faster responses when something goes wrong.”

Kurt’s key takeaways

The disappearance of Nancy Guthrie is heartbreaking. It also highlights how deeply modern technology is woven into everyday life. Digital data from phones, cellular networks, and cameras can offer valuable insights, but only when used responsibly and in compliance with privacy laws. As this investigation continues, technology may help law enforcement narrow timelines and test theories, even if it cannot answer every question. In cases like this, every detail matters.

As digital footprints grow more detailed, should tech companies give law enforcement broader access when someone goes missing? Let us know by writing to us at Cyberguy.com.

CLICK HERE TO DOWNLOAD THE FOX NEWS APP

Kurt “CyberGuy” Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on “FOX & Friends.” Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

Technology

Google’s annual revenue tops $400 billion for the first time

Published

20 hours ago

February 4, 2026

Press Room

Google’s annual revenue tops 0 billion for the first time

Google’s parent company, Alphabet, has earned more than $400 billion in annual revenue for the first time. The company announced the milestone as part of its Q4 2025 earnings report released on Wednesday, which highlights the 15 percent year-over-year increase as its cloud business and YouTube continue to grow.

As noted in the earnings report, Google’s Cloud business reached a $70 billion run rate in 2025, while YouTube’s annual revenue soared beyond $60 billion across ads and subscriptions. Alphabet CEO Sundar Pichai told investors that YouTube remains the “number one streamer,” citing data from Nielsen. The company also now has more than 325 million paid subscribers, led by Google One and YouTube Premium.

Additionally, Pichai noted that Google Search saw more usage over the past few months “than ever before,” adding that daily AI Mode queries have doubled since launch. Google will soon take advantage of the popularity of its Gemini app and AI Mode, as it plans to build an agentic checkout feature into both tools.