Facebook has long been filled with feeds of clickbait articles. Now, Meta is making its own clickbait articles with AI.
Technology
Meta made its own AI-generated clickbait news feed
The standalone Meta AI app now has a “For You” section that populates a list of clickbait-style stories for you to read. But the topics, images, and text are all AI-generated — and as questionable as you’d expect from AI-created works.
The Meta AI app first launched in April 2025 with its focus on a public “Discover” feed that showed AI-generated images and conversations from other users (who frequently seemed unaware that they were being made public). That’s all disappeared. The app now has a standard chatbot interface, plus a For You page that’s been present for at least a few months, displaying a stream of suggested article prompts that, when tapped, generate entire “stories.”
When targeting me, a reporter based in London, the prompts were aggressively British, involving topics like tea, manners, pubs, royals, football — sorry, soccer — and, naturally, the art of queuing. Suggested stories included “A royal butler finally settled the milk first debate” (the tea goes first, apparently), “The psychology of joining a queue without knowing why,” “The anatomy of the devastating British tut,” and “Inside the extreme sport of visiting every UK pub.” Some made even less sense, like “When a bit of a pickle means total disaster.”
My colleague, meanwhile, appears to have been placed firmly within the luxury watch aficionado bracket by the algorithm. His feed suggested stories called “My fake Rolex experiment” and “The brutal math behind the Rolex waitlist illusion.”
The AI-generated text read like puffy filler, offering little substance beyond repeatedly restating the premise of the prompt. Sourcing was also nonexistent.
I tried to track down where these “stories” may have originated. The royal butler tea story appears to trace back to a 2018 BBC Three comedy series called Miss Holland, which follows a fictional beauty queen from a small Dutch town as she travels to Britain and learns “how to be posh and classy” from real former royal butler Grant Harrold. The “Rolex experiment” story, meanwhile, appeared to be a complete fabrication, generated in our chat box as a first-person narrative without a byline, after a bit of usual whirring that happens when a chatbot is generating. Other stories leaned on vague references to unnamed experts or fictional research.
When I tapped the same cards more than once, the generated stories stayed within the rough bounds of the prompt and all were clearly versions of the same thing, but slightly different. Typing the same headline into a separate chat produced a completely different response. The clearest giveaway came from my chat history. It showed the hidden, suggested prompts that were supposed to trigger the generation of articles. One began:
“You are a helpful conversational assistant. The user is responding to a proactive feed card that was shown to them. The card context below provides background on what prompted the user’s message,” followed by what appeared to be references to internal instructions, information, and metadata.
1/5
The articles had images attached. A lot of these were harmless — bland mush of cartoony people, landscapes, and food. But some depicted real people, including public figures, and were riddled with errors. “Who really pays for the royal family in 2026?” featured two Queen Elizabeth IIs, despite her death several years prior and her existence as only one person.
Around the Queen clones were people who seemed to be approximations of other royals: a vaguely Princess Kate-ish face to the left, a strange attempt at Prince William at the back, and a sort-of King Charles in the middle who bore an exaggerated resemblance to his late father. Other images had usual AI tells like impossible hands and bodies leaning at unnatural angles. One image actually turned out to be a GIF of an older couple dancing and making arm movements no human body could make.
It wasn’t clear whether the app should be able to generate AI images of real people in accordance with Meta’s own, rather opaque rules, but it was. The company has previously said it wants “people to know when they see posts that have been made with AI” and that it automatically adds labels to some user-generated content when AI is detected. Despite this, there was no obvious indication or label in the feed or articles that any material was AI-generated.
Meta declined to answer many of my questions about the feature’s purpose, whether the company considers the output news or fiction, what safeguards are in place, and whether images of real people and public figures comply with its own AI-content policies.
“The goal is to suggest what’s most relevant to you – such as fitness advice, meal plans, or other insights – before you even have to ask.”
“We’re testing a daily feed that proactively shares tips, content, and recommendations tailored to your interests,” Meta spokesperson Tracy Clayton said in a brief statement. “The goal is to suggest what’s most relevant to you – such as fitness advice, meal plans, or other insights – before you even have to ask.”
Clayton later sent a nearly identical “updated” statement, mysteriously removing the word “proactively.”
A third statement from Clayton followed later in the day: “This was a test for a limited number of users and it will be deprecated. Meta has no plans to move forward with this feature.”
This leaves me with additional questions. How was this test limited if, besides me, at least three of my colleagues at The Verge had access to the same feature serving AI clickbait? What did “proactively” even mean? And, of course, who asked for any of this in the first place?
Technology
Oregon’s Attorney General withdraws effort to delay Paramount and Warner Bros. merger
Oregon Attorney General Dan Rayfield had been seeking documents from Paramount related to its takeover of Warner Bros. Discovery. Rayfield also asked a state circuit court judge to delay the closing of the deal by 60 days so that his office could review the documents. But according to Deadline and Variety, he’s now dropped his civil investigative demand for the records.
Obviously, Paramount is pleased with Rayfield’s decision to withdraw his request, but the AG’s office isn’t exactly satisfied with the outcome.
Jenny Hansson, communications director for Rayfield, told Deadline that, “Paramount made it clear that they weren’t going to comply with the investigative demand, and that they think they’re above the law. We’re not going to let them waste Oregonians’ resources on these games. We’ve withdrawn the motion to consider our next steps.”
Rayfield specifically was interested in documents relating to Paramount’s lobbying efforts, which were codenamed “Project Warrior.” Paramount is run by David and Larry Ellison, major supporters of Donald Trump who enjoy a cozy relationship with the White House. The President went out of his way during the proceeding to say that Netflix, Paramount’s primary rival for Warner Bros. Discovery, would “pay the consequences” if it didn’t remove Trump critic Susan Rice from its board.
While Oregon’s efforts to stop the merger have stalled, others, including California, New York, and even the UK, are considering moves to block the deal on antitrust grounds. Hollywood has also spoken out in opposition to the merger.
Technology
Robotaxi pit stops could pop up near you
Empty Waymo vehicles swarm Atlanta neighborhood
Atlanta residents captured alarming video of dozens of Waymo driverless cars continually circling their quiet neighborhood for hours. Tech expert Kurt Knutsson warns this ‘AI takeover’ raises significant safety concerns, especially for children, highlighting a critical lack of human intervention and company accountability from Waymo regarding these autonomous vehicles and potential glitches.
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You may already be used to seeing empty robotaxis cruising through city streets. No driver. No passenger. Just a car rolling along as if it has somewhere important to be. Sometimes it does. It may be heading to pick someone up. Other times, it may be driving back to a faraway depot to get cleaned, charged or checked before the next ride. That empty driving has a name: deadhead miles. In other words, the car is using time, power and road space without carrying a paying rider.
Now a Redwood City, California, startup called Aseon Labs wants to bring the depot closer to the robotaxi. The company is building parking-space-sized robotic service pods that can clean, charge, inspect and reset driverless cars closer to where riders actually need them. Aseon calls them modular “reset pods.” But if these boxes start showing up near parking lots, gas stations or busy streets, plenty of people may see them another way: as robotaxi pit stops in a box.
The idea could help cut wasted miles and keep driverless cars moving. However, it also raises a very interesting debate for cities and neighborhoods: where exactly do you put these big boxes?
ZOOX ROBOTAXI REDESIGN BRINGS BIG RIDER UPGRADES
The system could help robotaxi fleets spend less time driving empty, but these big boxes may still spark debate over curb space. (Aseon Labs)
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What are robotaxi pit stops?
Aseon Labs describes its system as a “depot in a box” for self-driving cars. Instead of sending robotaxis back to large centralized depots outside busy areas, the company wants to place smaller automated pods closer to where riders actually need cars. These pods are roughly the size of a parking space. They are designed to inspect vehicles, clean interiors and charge robotaxis between rides. Aseon also says the pods can handle vehicle reset operations, data synchronization, recalibration and lost-and-found handling.
Think of one as a mini service station for driverless fleets. A robotaxi pulls in, the pod checks the vehicle and gets it ready to go back out. That could make a huge difference for robotaxi companies. A car sitting at a depot is not earning money. A car driving empty across town is also not earning money.
Why robotaxi pit stops could cut empty miles
Robotaxi companies face a tough math problem. The vehicles need to stay on the road when demand is high. Yet every car still needs cleaning, charging and inspection. Right now, much of that work happens at depots. Those depots often sit outside dense city centers because real estate costs less there.
Aseon says fleets may travel 10 to 15 miles each way to reach centralized depots. That can turn a routine reset into a long, empty trip at the exact time a vehicle could be picking up another rider. The company’s goal is to place service pods within roughly one mile of where robotaxis operate. If that works, Aseon says servicing could be up to 15 times closer to the areas where riders are waiting.
How Aseon Labs robotaxi pit stops would work
Aseon’s pods use cameras to inspect robotaxis. Robotic arms clean the interior of the vehicle and retrieve lost items from the cabin. The company also wants the pods to be moveable. That part is important. If one location performs poorly, Aseon could relocate the unit instead of being stuck with a permanent facility.
Aseon says each reset pod is designed to fit within a single parking space and requires no permanent construction. The company also says the pods can be delivered by flatbed truck and become operational within 24 hours. Early versions are expected to have staff nearby. Over time, the company wants the system to operate more autonomously.
The pods could connect to existing power sources through partnerships with EV charging companies. They could also use mobile power, including a propane generator, depending on the location. Aseon says the pods can also integrate with existing DC fast-charging networks, which could help charging operators get more use out of underused stations.
That flexibility may help with rollout. Still, it also opens the door to questions from neighbors, city planners and business owners.
Why robotaxi pit stops could face pushback
If these robotaxi pit stops start showing up across U.S. cities, plenty of people will notice them. You could walk past one on your way to a coffee shop and wonder what it is doing there. Is it a charging station? Is it recording anything? Is it blocking parking? Is it taking up curb space that delivery drivers, cyclists or nearby businesses already fight over?
Those questions are important. City curb space has become some of the most contested space in transportation today. Ride-hailing pickups, delivery trucks, bike lanes, outdoor dining, EV chargers and public transit all compete for the same streets.
Now imagine adding automated robotaxi service boxes to that mix. Even if the pods help reduce empty driving, cities will still need to decide where they belong. A parking lot may make more sense than a residential block. A commercial corridor may work better than a narrow street. In some places, the answer may be no.
Robotaxi pit stops could test city rules
Aseon’s pods are considered temporary structures, according to the company’s plan. That could help avoid a long permitting process and make the units easier to move. However, “temporary” does not mean invisible. If a pod takes up a parking space for weeks or months, neighbors may not care whether it can be moved later. They will care about the space it occupies today.
WAYMO RECALLS ROBOTAXIS OVER CONSTRUCTION-ZONE RISK
Inside the pod, robotic arms and charging equipment are designed to service autonomous vehicles closer to busy pickup areas. (Aseon Labs)
Local governments will likely have to weigh the trade-offs. A pod may reduce empty robotaxi trips, which could lower congestion from cars heading back to remote depots. On the other hand, the pod itself becomes a new piece of street infrastructure. That means cities may need rules around placement, noise, power use, appearance and how close these units can sit to homes or storefronts.
What happens when a robot cannot clean the mess?
One smart part of Aseon’s plan is that the pod will not try to solve every problem. The company says its system can use computer vision and AI to detect issues that should go to a human instead. For example, if a camera spots melted chocolate on a seat, the robotic arm may avoid cleaning it because the wrong move could make the stain worse.
At that point, the vehicle could head to a central depot for a person to handle it. That is a good reminder of where this technology stands. Robotaxis may be driverless, but the operation behind them still depends on human judgment.
Aseon Labs robotaxi pit stops are still early
Aseon Labs has raised $10 million in seed funding and plans to build five prototypes. So, this is still an early-stage rollout, not something already popping up in cities across the country. The company has not publicly named signed robotaxi customers yet. However, Aseon says it is talking with autonomous vehicle operators, EV charging network providers and commercial real estate partners. It also says early pilot deployments are starting to take shape.
The business model is also important. Aseon does not plan to simply sell these pods and walk away. Instead, robotaxi companies would use the pods as needed, while Aseon handles deployment, maintenance and daily operation. That could make it easier for robotaxi companies to add service points without building full depots across a city.
For now, these boxes are not suddenly appearing on every corner tomorrow. Still, Aseon’s vision is much bigger than a few test units. The company wants thousands of reset pods across major cities, close enough to keep robotaxis moving without sending them back to distant depots.
What this means to you
If robotaxi services expand in your area, you may not only see more driverless cars. You may also see the support system that keeps them running. That could mean automated pods near shopping centers, transit hubs, parking lots or busy pickup zones.
For riders, this could mean cleaner cars and shorter wait times. For cities, it could mean fewer empty trips back to distant depots.
However, for residents, the trade-off may feel different. You may ask why a robotaxi company gets curb space when parking is already tight. You may also want clear answers about cameras, noise and how long each pod stays in one spot.
Kurt’s key takeaways
I can see why robotaxi companies would love this idea. If a driverless car can get cleaned and charged closer to riders, it wastes less time driving empty across town. However, I can also see the pushback coming fast. You know how hard it can be to find parking in a busy city. Now picture a big automated service box taking up space near your home, office or favorite restaurant. That does not mean the idea is bad. It means cities need to be careful before handing over valuable public space to robotaxi infrastructure. Aseon says its reset pods could cut costs, reduce downtime and keep driverless cars closer to where riders need them. That’s all great, but the big question is still who decides where these boxes go?
Aseon’s robotaxi pit stop concept shows how a driverless car could pull into a parking-space-sized pod for charging, cleaning and inspection. (Aseon Labs)
Would you be OK with a robotaxi pit stop on your block if it helped cut down on empty driverless cars cruising through your city? Let us know by writing to us at Cyberguy.com.
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Technology
After years of teasing, the viral Nopia synth is ‘basically finished’
After setting the music gear corner of the internet on fire back in 2023 with the first glimpse at the Nopia, creators Martin Grieco and Rocío Gal are almost ready to bring it to market. The duo brought it to the MusicRadar offices for an in-depth first look and revealed that it will be launching in “a couple of months” for around £550.
Nopia is built around harmonic interplay in a unique way. Rather than a few knobs and a keyboard controlling a single synth patch, it blends multiple modules — keys, bass, arp, and pad — into a single performance, not unlike a drumless groovebox. There’s a one-octave keyboard called the Chord Builder, a 12-button Tonal Selector, and an Extensions Dial that dictate the key and voicing of the chords. The idea is to let you play complex harmonies with just a finger or two.
Additional performance features include a strum plate in the top-right corner for plucking specific notes from a chord and a slider for full chord pitch bends.
In addition to the virtual analog and sample-based synth engines, there are basic effects like delay, reverb, tape emulation, and beat repeat, as well as a ton of connectivity options, including per-module MIDI output for controlling other instruments with Nopia’s harmonic engine.
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