Technology

Hollywood cozied up to AI in 2025 and had nothing good to show for it

Published

2 months ago

December 25, 2025

Hollywood cozied up to AI in 2025 and had nothing good to show for it

AI isn’t new to Hollywood — but this was the year when it really made its presence felt. For years now, the entertainment industry has used different kinds of generative AI products for a variety of post-production processes ranging from de-aging actors to removing green screen backgrounds. In many instances, the technology has been a useful tool for human artists tasked with tedious and painstaking labor that might have otherwise taken them inordinate amounts of time to complete. But in 2025, Hollywood really began warming to the idea of deploying the kind of gen AI that’s really only good for conjuring up text-to-video slop that doesn’t have all that many practical uses in traditional production workflows. Despite all of the money and effort being put into it, there’s yet to be a gen-AI project that has shown why it’s worth all of the hype.

This confluence of Hollywood and AI didn’t start out so rosy. Studios were in a prime position to take the companies behind this technology to court because their video generation models had clearly been trained on copyrighted intellectual property. A number of major production companies including Disney, Universal, and Warner Bros. Discovery did file lawsuits against AI firms and their boosters for that very reason. But rather than pummeling AI purveyors into the ground, some of Hollywood’s biggest power players chose instead to get into bed with them. We have only just begun to see what can come from this new era of gen-AI partnerships, but all signs point to things getting much sloppier in the very near future.

Though many of this year’s gen-AI headlines were dominated by larger outfits like Google and OpenAI, we also saw a number of smaller players vying for a seat at the entertainment table. There was Asteria, Natasha Lyonne’s startup focused on developing film projects with “ethically” engineered video generation models, and startups like Showrunner, an Amazon-backed platform designed to let subscribers create animated “shows” (a very generous term) from just a few descriptive sentences plugged into Discord. These relatively new companies were all desperate to legitimize the idea that their flavor of gen AI could be used to supercharge film / TV development while bringing down overall production costs.

Asteria didn’t have anything more than hype to share with the public after announcing its first film, and it was hard to believe that normal people would be interested in paying for Showrunner’s shoddily cobbled-together knockoffs of shows made by actual animators. In the latter case, it felt very much like Showrunner’s real goal was to secure juicy partnerships with established studios like Disney that would lead to their tech being baked into platforms where users could prompt up bespoke content featuring recognizable characters from massive franchises.

That idea seemed fairly ridiculous when Showrunner first hit the scene because its models churn out the modern equivalent of clunky JibJab cartoons. But in due time, Disney made it clear that — crappy as text-to-video generators tend to be for anything beyond quick memes — it was interested in experimenting with that kind of content. In December, Disney entered into a three-year, billion-dollar licensing deal with OpenAI that would let Sora users make AI videos with 200 different characters from Star Wars, Marvel, and more.

Netflix became one of the first big studios to proudly announce that it was going all-in on gen AI. After using the technology to produce special effects for one of its original series, the streamer published a list of general guidelines it wanted its partners to follow if they planned to jump on the slop bandwagon as well. Though Netflix wasn’t mandating that filmmakers use gen AI, it made clear that saving money on VFX work was one of the main reasons it was coming out in support of the trend. And it wasn’t long before Amazon followed suit by releasing multiple Japanese anime series that were terribly localized into other languages because the dubbing process didn’t involve any human translators or voice actors.

Amazon’s gen-AI dubs became a shining example of how poorly this technology can perform. They also highlighted how some studios aren’t putting all that much effort into making sure that their gen AI-derived projects are polished enough to be released to the public. That was also true of Amazon’s machine-generated TV recaps, which frequently got details about different shows very wrong. Both of these fiascos made it seem as if Amazon somehow thought that people wouldn’t notice or care about AI’s inability to consistently generate high-quality outputs. The studio quickly pulled its AI-dubbed series and the recap feature down, but it didn’t say that it wouldn’t try this kind of nonsense again.

Disney-provided examples of its characters in Sora AI content.

Image: Disney

All of this and other dumb stunts like AI “actress” Tilly Norwood made it feel like certain segments of the entertainment industry were becoming more comfortable trying to foist gen-AI “entertainment” on people even though it left many people deeply unimpressed and put off. None of these projects demonstrated to the public why anyone except for money-pinching execs (and people who worship them for some reason) would be excited by a future shaped by this technology.

Aside from a few unimpressive images, we still haven’t seen what all might come from some of these collaborations, like Disney cozying up to OpenAI. But next year AI’s presence in Hollywood will be even more pronounced. Disney plans to dedicate an entire section of its streaming service to user-generated content sourced from Sora, and it will encourage Disney employees to use OpenAI’s ChatGPT products. But the deal’s real significance in this current moment is the message it sends to other studios about how they should move as Hollywood enters its slop era.

Regardless of whether Disney thinks this will work out well, the studio has signaled that it doesn’t want to be left behind if AI adoption keeps accelerating. That tells other production houses that they should follow suit, and if that becomes the case, there’s no telling how much more of this stuff we are all going to be forced to endure.

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Charles Pulliam-Moore

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Technology

Apple’s website leaks MacBook ‘Neo,’ which could be its new cheaper laptop

Published

2 hours ago

March 3, 2026

Press Room

Apple’s website leaks MacBook ‘Neo,’ which could be its new cheaper laptop

During Apple’s week-long product launch event on Tuesday, a listing for the “MacBook Neo (Model A3404)” appeared on a regulatory compliance page on Apple’s website under its line-up of 2026 MacBooks. First spotted by MacRumors, the listing appears to be an accident and has since been removed, but may have been a leaked reference to a rumored entry-level MacBook. Unfortunately, it didn’t include any additional details beyond the device’s name and model number.

The lower price and an “entirely new design” could help the new MacBook appeal to students and casual users, competing with Chromebooks and low-cost Windows laptops. A more affordable MacBook could be especially appealing after Apple announced the M5 MacBook Air on Tuesday, which has a higher starting price than last year’s Air.

Technology

China’s compact humanoid robot shows off balance and flips

Published

3 hours ago

March 3, 2026

Press Room

China’s compact humanoid robot shows off balance and flips

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Humanoid robotics companies have already shown their machines can run at 22 mph, land backflips and even pull off front flips. So the new proving ground is not raw speed or acrobatics. It is control when something unexpected happens. That is where the EngineAI PM01 humanoid robot comes in.

In newly released footage, the compact humanoid keeps dancing after being deliberately pushed off balance. It performs a controlled forward slip, absorbs the disruption and smoothly regains rhythm within seconds. The motion looks fluid and surprisingly natural.

Then it lands another front flip, this time as part of a broader demonstration of balance and recovery.

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EngineAI pushes back on CGI skepticism as its PM01 humanoid robot demonstrates controlled recovery and dynamic motion. (Liu Lihang/Xinhua via Getty Images)

EngineAI PM01 humanoid robot shows advanced balance control

Speed gets attention. Recovery earns trust. When someone shoves the PM01, it does not freeze. It recalculates its center of mass, adjusts joint torque and corrects posture in real time. That level of control depends on tight coordination between sensors, actuators and AI algorithms. The front flip adds another challenge.

Front flips are typically harder than backflips. Rotating forward shifts the body weight ahead of the support base. That makes landings less forgiving. The EngineAI PM01 humanoid robot executes the move with coordinated arm swing, core stabilization and accurate landing mechanics. This is not about flashy tricks. It is about controlled dynamic motion under stress.

Why the compact size of the EngineAI PM01 matters

The PM01 stands just under 4 feet tall. That smaller build works to its advantage. A lower center of mass reduces tipping risk and requires less rotational force during flips. Its lighter structure also helps distribute impact forces more efficiently when it lands.

By comparison, EngineAI’s larger SE01 stands about 4 feet, 6 inches tall and weighs 88 pounds. The PM01 is roughly 10.5 inches shorter and about 17.6 pounds lighter. That size difference makes it more agile in research and development settings.

Full-sized humanoids face greater mechanical stress during high-impact maneuvers. They need stronger actuators, reinforced joints and heavier structural support to stay stable. Compact robots like the EngineAI PM01 can achieve advanced movement with less overall strain.

CHINA’S ROBOTICS GIANT PUTS 200 ROBOTS TO THE TEST

The PM01 robot stands on display at EngineAI’s robot retail flagship store in Shenzhen, Guangdong Province of China. Newly released footage shows the PM01 humanoid absorbing a push and recalculating its center of mass within seconds. (VCG/VCG via Getty Images)

AI hardware powering the EngineAI PM01 humanoid robot

Under the hood, the EngineAI PM01 humanoid robot combines advanced perception with serious computing power. It uses an Intel RealSense depth camera for visual awareness and spatial mapping. A dual-chip setup integrates Nvidia Jetson Orin with an Intel N97 processor. That architecture supports real-time AI workloads and rapid balance correction when the robot is pushed or slips.

The robot features 24 degrees of freedom, including 12 joint motors. This design allows smooth coordinated movement across its limbs and torso. In the small humanoid segment, PM01 competes with models like the Unitree G1 and the Booster T1. It walks at up to about 4.5 miles per hour, faster than the T1, though still below some larger high-speed humanoid platforms built for sprint performance.

EngineAI appears less focused on headline-grabbing speed and more focused on refined stability and controlled motion.

EngineAI pushes back against CGI claims

As humanoid videos go viral, skepticism follows. EngineAI recently addressed CGI accusations by releasing footage of its T800 humanoid physically interacting with its CEO. The company clearly wants to demonstrate that its robots operate in the real world.

That credibility push matters. In a crowded robotics market, bold claims are common. Physical demonstrations help separate engineering progress from digital effects.

WARM-SKINNED AI ROBOT WITH CAMERA EYES IS SERIOUSLY CREEPY

The nearly 4-foot-tall EngineAI PM01 uses AI-powered sensors and joint motors to recover from slips and continue moving. (VCG/VCG via Getty Images)

What this means to you

Right now, this looks like a polished demo. However, balance and recovery are critical for real-world use. If humanoid robots are going to work in warehouses, hospitals or our homes, they must handle bumps, slips and unexpected contact without causing damage. A machine that can brace itself, fall safely and stand back up is far more practical than one that performs a single choreographed stunt. As humanoids move closer to everyday environments, resilience becomes just as important as athletic performance. The more stable they are, the more comfortable people will feel sharing space with them.

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Kurt’s key takeaways

Humanoid robots can already run fast, flip and move with serious athletic ability. What companies are racing to perfect now is something more practical: balance when things go wrong. The EngineAI PM01 humanoid robot shows how compact design and real-time correction can help a machine stay upright, recover quickly and keep moving without chaos. That kind of control matters far more in a crowded warehouse, hospital hallway or public space than a perfectly staged stunt. We are starting to see the shift from viral demo moments to robots built for everyday reliability. The real breakthrough is not the flip. It is what happens after the push.

When humanoid robots can absorb a shove, land a flip and get back to work without missing a beat, how close are we to seeing them in your neighborhood? Let us know by writing to us at Cyberguy.com.

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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

Anthropic upgrades Claude’s memory to attract AI switchers

Published

14 hours ago

March 2, 2026

Press Room

Anthropic upgrades Claude’s memory to attract AI switchers

Anthropic is making it easier to switch to its Claude AI from other chatbots with an update that brings Claude’s memory feature to users on the free plan, along with a new prompt and dedicated tool for importing data from other chatbots. These upgrades could allow users who have been using rivals like OpenAI’s ChatGPT or Google’s Gemini to quickly copy the data their preferred AI has collected on them and bring it over to Anthropic’s chatbot. That way, they don’t have to “start over” teaching Claude the context and history their previous chatbot already knows.

The option to import and export memories from Claude has been available since October, when Anthropic also rolled out the option for users to turn on Claude’s memory. Up until now, the memory feature was only available to users on paid Claude subscriptions, but now all Claude users can turn it on by going into “settings” then “capabilities.” This menu is also where users can find the new memory importing tool, which has users copy a pre-written prompt into their previous AI then copy the output from that prompt back into Claude’s importing tool.

Anthropic is introducing the upgraded memory importing tool as Claude is seeing a rise in popularity, driven by tools like Claude Code and Claude Cowork. Last month, Anthropic launched its new Opus 4.6 and Sonnet 4.6 models, which the company says are better at coding and completing complex tasks like working through a spreadsheet or filling out forms.

Anthropic has also been experiencing a spike in attention recently after pushing back against demands from the Pentagon to loosen the guardrails on its AI models, with the company stating publicly that they drew “red lines” around mass surveillance and fully autonomous lethal weapons.