Back in 2015, the two-person studio Metanet released N++, a brutally hard 2D platformer that was a decade in the making, building off of previous releases dating back to the freeware Flash title N. At the time, cofounder Raigan Burns issued some famous last words: “We hope it’s not another 10 years before we come up with a game.” But now here we are, more than a decade later, and N is getting another sequel. And this time the focus is on multiplayer.
Technology
Inside Microsoft’s AI content verification plan
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Scroll your social media feed for five minutes. You will likely see something that looks real but feels slightly off.
Maybe it is a viral protest image that turns out to be altered. Maybe it is a slick video pushing a political narrative. Or maybe it is an artificial intelligence voice clip that spreads before anyone stops to question it.
AI-enabled deception now permeates everyday life. And Microsoft says it has a technical blueprint to help verify where online content comes from and whether it has been altered.
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Microsoft’s proposal would attach digital fingerprints and metadata to help trace where online content originated. (YorVen/Getty Images)
Why AI-generated content feels more convincing today
AI tools can now generate hyperrealistic images, clone voices and create interactive deepfakes that respond in real time. What once required a studio or intelligence agency now requires a browser window. That shift changes the stakes.
It is no longer about spotting obvious fakes. It is about navigating a digital world where manipulated content blends into your daily scroll. Even when viewers know something is AI-generated, they often engage with it anyway. Labels alone do not automatically stop belief or sharing. So Microsoft is proposing something more structured.
How Microsoft’s AI content verification system works
To understand Microsoft’s approach, picture the process of authenticating a famous painting. An owner would carefully document its history and record every change in possession. Experts might add a watermark that machines can detect, but viewers cannot see. They could also generate a mathematical signature based on the brush strokes.
Now Microsoft wants to bring that same discipline to digital content. The company’s research team evaluated 60 different tool combinations, including metadata tracking, invisible watermarks and cryptographic signatures. Researchers also stress-tested those systems against real-world scenarios such as stripped metadata, subtle pixel changes or deliberate tampering.
Rather than deciding what is true, the system focuses on origin and alteration. It is designed to show where the content started and whether someone changed it along the way.
What AI content verification can and cannot prove
Before relying on these tools, you need to understand their limits. Verification systems can flag whether someone altered content, but they cannot judge accuracy or interpret context. They also cannot determine meaning. For example, a label may indicate that a video contains AI-generated elements. It will not explain whether the broader narrative is misleading.
Even so, experts believe widespread adoption could reduce deception at scale. Highly skilled actors and some governments may still find ways around safeguards. However, consistent verification standards could reduce a significant share of manipulated posts. Over time, that shift could reshape the online environment in measurable ways.
Why AI labels create a business dilemma for social platforms
Here is where the tension becomes real. Platforms depend on engagement. Engagement often feeds on outrage or shock. And AI-generated content can drive both. If clear AI labels reduce clicks, shares or watch time, companies face a difficult choice. Transparency can clash with business incentives.
FAKE ERROR POPUPS ARE SPREADING MALWARE FAST
Invisible watermarks and cryptographic signatures could signal when images or videos have been altered. (Chona Kasinger/Bloomberg via Getty Images)
Audits of major platforms already show inconsistent labeling of AI-generated posts. Some receive tags. Many slip through without disclosure.
Now, U.S. regulations are stepping in. California’s AI Transparency Act is set to require clearer disclosure of AI-generated material, and other states are considering similar rules. Lawmakers want stronger safeguards.
Still, implementation matters. If companies rush verification tools or apply them inconsistently, public trust could erode even faster.
The risk of incorrect AI labels and false flags
Researchers also warn about sociotechnical attacks. Imagine someone takes a real photo of a tense political event and modifies only a small portion of it. A weak detection system flags the entire image as AI-manipulated.
Now, a genuine image is treated as suspect. Bad actors could exploit imperfect systems to discredit real evidence. That is why Microsoft’s research stresses combining provenance tracking with watermarking and cryptographic signatures. Precision matters. Overreach could undermine the entire effort.
How to protect yourself from AI-generated misinformation
While industry standards evolve, you still need personal safeguards.
1) Slow down before sharing
If a post triggers a strong emotional reaction, pause. Emotional manipulation is often intentional.
2) Check the original source
Look beyond reposts and screenshots. Find the first publication or account.
3) Cross-check major claims
Search for coverage from reputable outlets before accepting dramatic narratives.
4) Verify suspicious images and videos
Use reverse image search tools to see where a photo first appeared. If the earliest version looks different, someone may have altered it.
5) Be skeptical of shocking voice recordings
AI tools can clone voices using short samples. If a recording makes explosive claims, wait for confirmation from trusted outlets.
6) Avoid relying on a single feed
Algorithms show you more of what you already engage with. Broader sources reduce the risk of getting trapped in manipulated narratives.
7) Treat labels as signals, not verdicts
An AI-generated tag offers context. It does not automatically make content harmful or false.
8) Keep devices and software updated
Malicious AI content sometimes links to phishing sites or malware. Updated systems reduce exposure.
Strengthen account security
Use strong, unique passwords and a reputable password manager to generate and store complex logins for you. Check out the best expert-reviewed password managers of 2026 at Cyberguy.com. Also, enable multi-factor authentication where available. No system is perfect. But layered awareness makes you a harder target.
Experts say stronger AI labeling standards may reduce deception, but they cannot determine what is true. (iStock)
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Kurt’s key takeaways
Microsoft’s AI content verification plan signals that the industry understands the urgency. The internet is shifting from a place where we question sources to a place where we question reality itself. Technical standards could reduce manipulation at scale. But they cannot fix human psychology. People often believe what aligns with their worldview, even when labels suggest caution. Verification may help restore some trust online. Yet trust is not built by code alone.
So here is the question. If every post in your feed came with a digital fingerprint and an AI label, would that actually change what you believe? Let us know by writing to us at Cyberguy.com.
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Related Article
The new game is called, absurdly, N Plus Infinity Times Two. Whereas N++ was meant to be the ultimate single-player version of the N concept, this game is described as “the ultimate virtual couch party game with a low skill floor and no skill ceiling.” That means the same slick, acrobatic platforming action and gorgeous graphic design-inspired visuals, but now built around playing competitively or cooperatively with pals across a handful of different modes. It’s launching on the PS5, Xbox, Switch 2, and PC at some point in 2027.
The duo at Metanet was up to a few different things over the last 11 years. In addition to uprooting from Toronto to Montreal, they’ve been prototyping ideas for a few potentially bigger projects, and last year released a 10-year anniversary update for N++. But then, “We started getting the ‘let’s take another crack at it’ bug in 2022,” Burns tells The Verge.
The studio operates in an unusual way, at least compared to most of the game industry. Despite having two hits in N+ and N++, Metanet hasn’t grown or scaled up in any way. And the reason comes down to the way they make games: It simply takes a lot of time to find a game idea that’s worth pursuing as a commercial project. “We’ve resisted doing something that would compromise our ability to keep iterating and prototyping until something good shows up,” says Burns.
“It’s important to feel that magic,” cofounder Mare Sheppard adds. “That’s what’s compelling about making games. That’s when we know that we’re doing it in a way that’s right for us.” Burns has a clear analogy for how they work: “We like being in a band. That’s fun. Being in a lot of meetings and doing a lot of managing: not fun.” This philosophy seems especially prescient given the state of the games industry, where even the biggest hits operate in a way that’s clearly unsustainable.
“We like being in a band. That’s fun. Being in a lot of meetings and doing a lot of managing: not fun.”
In the case of N Plus Infinity Times Two — unfortunately I can’t think of a good way to shorten that title — the spark came in part from watching how younger players interact with games. Even when they’re playing solo, kids are typically still chatting with friends on their phones, essentially turning everything into a multiplayer experience. Burns and Sheppard wanted to find a way to marry that idea with the couch co-op experiences they grew up on, which led to revisiting the N concept but with a multiplayer spin.
The two describe making N++ as a grueling experience. If you think the game’s levels are hard, just imagine having to playtest them over and over. Part of the excitement about N Plus Infinity Times Two wasn’t just finding a spin on the formula that would be fun to play, but also to develop. “This one really feels like we’re having fun,” says Burns. “We’re really fluent in this one instrument. So now the fun challenge becomes playing new styles of music we’ve never played before, but with this thing we’re really comfortable with.”
Image: Metanet Software
As creative industries from games to Hollywood become increasingly homogenous, Burns also believes that there’s something important about doing work that’s distinct, even if it means revisiting a previous idea, like through the multiple versions of N. It’s similar to titles like Hades II and Silksong: indie-developed sequels that iterated a core concept, but with a fresh angle that made them more than a by-the-numbers follow-up. “Being yourself is more fun and exciting anyways,” Burns explains. “But I honestly think it’s more commercially viable to do something only you can do, because then you have no competition.”
As for what’s next after N Plus Infinity Times Two, the pair obviously aren’t revealing anything just yet. There are a few bigger 3D game ideas kicking around, but those would necessitate some of that scaling up that the studio has so far avoided. What they won’t close the door on, however, is coming back to the idea of N again at some point in the future.
“If we can do something that expresses something new, or lets us see things in a different way, or we get a different perspective on what this game is or how to play it, that’s exciting,” says Sheppard. “I think we no longer think this is definitively going to be the last one. We’ve abandoned that idea. It doesn’t have to be.”
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Space changes the rules for almost everything, including how a robot should move. On Earth, legs help us stand, balance and walk across a room. In microgravity, those same legs lose much of their purpose.
That is why Orbit Robotics, an academic spinout from ETH Zurich, took a different approach with Helios. The robot was built with four arms so it can grip, brace and work inside a spacecraft. Two arms can hold on while the other two handle tools, cargo and equipment.
It is a smart design for a place where floating is easy and staying steady is the real challenge. Here is how Helios works and why it could change the way astronauts get help in orbit.
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IS THIS SPACE CAPSULE HOW WE WILL LIVE AND WORK IN ORBIT IN THE FUTURE?
Helios uses two arms to anchor itself while the other two move cargo, tools and equipment inside a spacecraft. (Orbit Robotics)
Why the Helios space robot has four arms
Helios uses two pairs of arms with different jobs. One pair can anchor the robot to interior surfaces. The other pair can handle tools, unload cargo, move equipment or perform other work inside a spacecraft.
That setup is important because stability and work need to happen at the same time in orbit. A floating robot cannot casually plant its feet, bend over and pick something up. It needs to hold on while it works.
That is where Helios makes sense. Two arms can keep it steady while the other two get the job done. In microgravity, legs become extra hardware unless they can grip, brace or manipulate objects. Helios skips that problem by turning the whole body into a tool for movement and work.
How this four-armed space robot works
Orbit Robotics says Helios uses a tendon-driven system. Instead of placing motors at every joint, the robot keeps many of those motors closer to the shoulders. Cables and pulleys then transmit force through the arms.
That design can reduce weight at the ends of the limbs. In space, heavy limbs can create awkward movement. A robot also needs control, especially when it is holding cargo or tools near expensive equipment.
Helios also uses a rolling-contact elbow joint. That may sound like a tiny detail. In orbit, it can make a big difference. A sudden jerk could destabilize the robot. It could also send whatever the robot is carrying drifting across a spacecraft. Smooth movement becomes a safety feature.
How IKARUS helped shape Helios
Before Helios, the team built an earlier robot platform called IKARUS. That project helped test ideas such as teleoperation, imitation learning and dual-arm manipulation. In other words, IKARUS gave the team a way to learn how a robot could move, copy tasks and handle objects in a space-like setting.
Those lessons helped shape Helios. That is important because space hardware rarely gets a second chance. A robot designed for orbit has to be reliable, compact and useful in cramped conditions. It also has to behave predictably around humans. Helios builds on that earlier work with a body that better fits the environment.
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Why astronauts need robotic help in orbit
Orbit Robotics says its mission is to free astronauts, not replace them. That sounds reassuring. It also makes practical sense. Astronauts are highly trained people doing some of the most expensive labor imaginable. Yet a major chunk of crew time aboard the International Space Station goes toward maintenance.
Some estimates put maintenance at roughly 35% of crew time. At an estimated $140,000 per astronaut-hour, basic logistics can become shockingly expensive. That means sorting supplies, moving equipment or handling routine work can carry a huge price tag. Helios does not need to be a genius to help. It needs to move through narrow corridors, stay stable without gravity and manipulate objects with care. That is the point of the design.
Orbit Robotics built Helios with four arms so it can grip, brace and handle tools inside spacecraft in microgravity. (Orbit Robotics)
What Helios could do in space
The first job for Helios appears focused on interior spacecraft work. That could include unloading cargo, helping manage supplies, moving gear and assisting with routine maintenance. Those jobs may sound boring. In orbit, boring tasks still take time, training and attention.
Over time, Orbit Robotics sees a broader role for robots like Helios. That could include satellite servicing. It could also include in-space construction as commercial stations and orbital habitats become more common.
If launch costs keep falling, more equipment will head into orbit. More hardware means more maintenance. More stations mean more logistics. That creates a clear opening for robots like Helios, built for space from the start.
Why robots may take on more space work
Human spaceflight still captures the imagination. It always has. However, the human body has serious limits in space. Astronauts can face radiation exposure, bone loss, vision problems and cognitive effects linked to fluid shifts in the brain.
Those risks grow during longer missions. Robots do not need air, food, sleep or radiation protection in the same way humans do. They can also take risks that would be unacceptable for astronauts.
That does not make astronauts obsolete overnight. Still, it changes the conversation. If machines can handle more work in orbit, humans may spend less time on routine tasks and more time on science. That could mean more attention on research tied to aging, cancer treatments, organ bioprinting and other experiments that benefit from microgravity.
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Could space robots build the next space economy?
If commercial space stations grow, they will need constant care. Cargo will need to be sorted. Equipment will need to be moved. Structures may need inspection or repair. Satellites may need servicing. Future habitats may need robots that can assemble, maintain and adapt.
That is where a machine like Helios becomes more than a cool prototype. It could become part of the labor force that keeps space infrastructure running.
The big question is whether humans remain at the center of that work or move into a more selective role. We may still send astronauts into orbit, but their jobs could change dramatically.
Instead of doing every task by hand, they may supervise robots built for a place where the human body struggles.
The four-armed Helios robot was designed for zero gravity, where legs are less useful than gripping and bracing. (Orbit Robotics)
What Helios could mean for future space robots
Engineers are starting to design machines for specific environments instead of forcing them into human-shaped bodies. That shift could affect more than space exploration.
On Earth, robots already work in warehouses, factories, hospitals and disaster zones. In each case, the best design may not look human. It may look strange, specialized and a little unsettling.
Helios shows why that can be a good thing. A robot built for its environment can work more efficiently. It can also take on risky jobs and help humans focus on work that needs judgment, creativity or science training.
For space, that could mean safer missions. It could also mean fewer astronauts spending precious hours on routine maintenance.
Kurt’s key takeaways
Helios stands out because it was built for the place it is meant to work. In orbit, walking offers very little help. Gripping, bracing and handling equipment become much more important. That is what makes the four-armed design so practical. It gives the robot a way to hold on while it works, which is exactly what astronauts need in microgravity. Orbit Robotics says Helios is meant to help astronauts, not replace them. Still, this robot raises a bigger question. As machines grow more capable, they could take on more of the risky and repetitive work beyond Earth. That could give astronauts more time for science, discovery and decisions that need human judgment. It could also change how we think about sending people into space in the first place.
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Would you rather see astronauts doing the work in orbit, or robots taking over the risky stuff? Let us know by writing to us at Cyberguy.com
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Whether you’re considering starting a Sonos speaker setup, or adding to an existing group, the Sonos Era 100 is worth picking up. The compact, capable smart speaker is currently marked down to $189 ($30 off) at a variety of retailers, including Amazon, Best Buy, and directly from Sonos. If you want an even lower price, Sonos is selling refurbished Era 100 speakers for just $134. They come with fresh accessories and packaging, and sport the same one-year warranty as its new speakers.
The wireless speaker has a rich, detailed sound profile, with room-filling audio despite its small size. You might be able to improve the sound further with the Sonos Trueplay feature, which uses either your phone or the speaker’s built-in microphone to automatically tune it to your space. The Era 100 can easily connect with other speakers in the Sonos ecosystem for multi-room play, even with different Sonos models.
The Era 100 has expanded functionality from previous entry-level Sonos speakers, adding in Bluetooth and USB-C wired audio, as well as improved onboard controls. While the speaker features built-in voice assistant support for both Sonos and Alexa, you can flip a switch on its back to cut power to the microphone.
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