Facepalm: Windows updates have a nasty habit of causing more problems than they fix. Just last month, Microsoft acknowledged that the August Patch Tuesday update was crashing games and rebooting PCs. The optional KB5124010 patch that rolled out earlier this week is now reportedly causing games like Battlefield 6 and Wardogs to crash regardless of hardware.
Microsoft released the KB5124010 update to the Windows 11 Release Preview channel for versions 24H2 and 25H2 earlier this month before rolling it out to the stable channel on Tuesday. Almost immediately, users started complaining on social media and online forums that it was wreaking havoc on their gaming rigs..
According to several Redditors and Steam users, Battlefield 6 has become unplayable after installing the update, crashing just seconds after launch almost every time. At least one of the posters reported that Windows is not displaying an error message alongside the crashes, making it difficult for users to diagnose the problem.
One Battlefield 6 player posting on the Steam Community forums noted the irony that the KB5124010 update is meant to improve game stability and prevent games from crashing. They added that they reinstalled the game, checked the DirectX components, and even tried Javelin troubleshooting, but nothing helped diagnose the problem. Uninstalling KB5124010, however, seemed to stop the crashes.
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After many Wardogs players also reported a similar problem, a Team17 representative acknowledged on the Steam Community forums that the game was crashing and displaying a WD-L020 error. They added that there is no immediate remedy and that the only workaround is to uninstall the contentious update.
One Wardogs player replying to the thread claimed that Windows was displaying a WD-L020-95bc94d86a0d error code after every crash and confirmed that uninstalling the KB5124010 update allowed them to play the game again. Many others also confirmed that uninstalling the update seemed to fix the problem.
It is worth noting that while most of the complaints are coming from Battlefield 6 and Wardogs players, some Battlefield 2042 players have also reported facing the same problem, leading some to suggest that the update might be clashing with EA’s Javelin Anti Cheat program, which protects Battlefield, EA Sports FC, Madden NFL, and other EA properties.
Games crashing after buggy Windows updates isn’t a new problem for Microsoft. Just last month, the company admitted that the KB5121003 update was causing some games to crash randomly. In some cases, the PC was automatically rebooting after the crashes. The problem affected Arc Raiders, Marvel Tokon: Fighting Souls, and The Finals, among others.
Peak XV Partners, one of the largest venture capital firms investing in markets including India and Southeast Asia with more than $10 billion in assets under management, has increased how much it invests per startup through Surge, its seed-stage investing platform, as it unveils a new cohort of 18 companies.
At least three of the companies in this cohort had already raised outside funding, in some cases from Peak XV itself, before joining Surge.
The new batch, called Surge 12, is the first to operate under Peak XV’s higher investment ceiling of up to $5 million per company, up from $3 million previously. The venture firm invested more than $50 million across the cohort, which has collectively raised over $90 million in seed funding, according to Peak XV. Its median investment per company has also increased, though the firm declined to disclose the figure.
“The bar to raise a Series A has gone up pretty significantly,” Rajan Anandan (pictured above), managing director at Peak XV, said in an interview. He added that the firm is also seeing more capital-intensive companies, particularly in deeptech, that are raising larger rounds at the seed stage.
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Surge has become more global with each cohort, Anandan told TechCrunch, with its latest group spanning founders and companies from San Francisco to Sydney. Just five of the 18 startups in Surge 12 are focused on the Indian market, while more than half of the companies are based in India. The remaining 13 target global markets, highlighting the difference between where the companies are built and where they expect to find customers.
Since its launch in 2019, when Peak XV operated as Sequoia Capital India and Southeast Asia, Surge has backed more than 180 startups founded by entrepreneurs representing more than 18 nationalities. Peak XV says the 10 largest companies to emerge from those cohorts now generate more than $1 billion in combined annual revenue.
Surge founders at the Peak XV U.S. Immersion 2026Image Credits:Peak XV Partners
Anandan described Surge as one way Peak XV invests at the seed stage, alongside its standard seed investing, while the firm still remains an investor as companies progress through later funding rounds. The founders it backs typically include repeat entrepreneurs, experienced operators, and highly specialized technical founders, he said, with about 50% to 60% of a typical cohort made up of people coming from operating roles at established technology companies.
This cohort’s startups span AI, robotics, space, consumer products, healthcare, music, and fintech, ranging from AI safety and personal computing to autonomous robots built for underground pipes and satellites designed to detect radio-frequency signals from orbit.
The Surge 12 cohort
Alma — founded by Nischith Shadagopan M N and Vinod Ganesan — is building a personal computing platform focused on making computer use faster and more affordable. Its founders previously worked at Microsoft Research and were founding engineers at Sarvam AI, a Bengaluru-based startup building AI models for Indian languages.
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August AI — founded by Anuruddh Mishra, an IIT-BHU alumnus who started the company in 2022 after a personal medical misdiagnosis — provides a healthcare platform that combines AI with physician-led care, reaching over 9 million users across 160 countries.
Ditto — founded by UC Berkeley dropouts Allen Wang and Eric Liu — works as an AI dating matchmaker inside iMessage, aimed at helping college students turn digital introductions into in-person connections. (TechCrunch wrote more about this one last month.) The company had already raised $9.2 million in a Peak XV-led seed round announced earlier this year.
GameStock — founded by Antoine Mistico, Easton Dana, and Vivek Indlebele Narasimha Prasad — brings competition mechanics to financial markets, turning investing and trading into a more competitive experience. Mistico is a two-time founder and former professional baseball player.
HiLoop — founded by Jad Ghalayini, Karan Brar, and Thomas Boser — helps AI companies adapt general-purpose open-weight models for specific applications using its post-training platform. Its founding team includes former Reducto engineers and a Cambridge computer science PhD who completed his doctorate at 24.
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Hoola Health — founded by Deeksha Senguttuva — focuses on care for children and their families, providing consultations, vaccinations, medicines, diagnostics, developmental therapy, and dental services on a single platform. Senguttuvan grew up around healthcare, as her family built and operated a hospital group.
Kello — founded by Mona Gandhi and Subramanya Jingade — is building an AI-powered talent-discovery platform focused on identifying a candidate’s potential and trajectory rather than relying primarily on conventional credentials. Gandhi says she was Airbnb’s first female engineer and she previously founded Upraised, while Jingade previously co-founded AmbitionBox.
Kindling — founded by Adam Miller and Sachin Shah — is building what it calls a “storytelling operating system” for technology startups, using AI to help companies develop and produce their communications and content.
Puralink — founded by Harrison Crowe-Maxwell, Shyeon Delnawaz, and Thien “Long” Tran — is developing autonomous robots that can navigate underground pipe networks. Crowe-Maxwell has been building robots since childhood and turned university research into the patented drive technology behind the startup.
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Reinforce Labs — founded by Anish Das Sarma — is developing tools to evaluate, red-team, and remediate enterprise AI systems. Sarma previously founded a company acquired by Airbnb and later served as a director at Google, where he led AI and machine-learning teams.
Riffle — founded by Anurag Choudhary and deo — is building a browser-based platform where musicians can create, collaborate on, and share music, reducing the need to move between separate tools during the creative process.
Rosella — founded by Chris Dwyer and Sean Stuart — is building an AI-native commercial insurance brokerage for U.S. businesses, using AI to automate parts of the traditionally manual process of finding and placing business insurance. Rosella raised a roughly $2.5 million pre-seed round led by Peak XV and Intact Private Capital earlier this year.
Tribe Money — founded by Himanshu Arora and Nikhil Shanker — gives an AI-powered personal finance platform that helps users track their money, research investments and make investing decisions.
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ULOOK — founded by Adheesh Boratkar and Siddhesh Ravindra Naik — is building autonomous satellite systems for radio-frequency sensing and spectrum intelligence, targeting customers globally. Its founders have worked on more than 12 satellite missions. The company had already raised roughly $2.3 million in seed funding from growX Ventures and InfoEdge Ventures before joining Surge.
Wingit — founded by Nikunj Kothari and Saksham Khandelwal — is building a beauty platform aimed at India’s growing premium-consumer market. It is focused on how consumers discover and shop for higher-end beauty products.
Three other startups in the cohort have yet to publicly reveal their names or products. Peak XV said they are working in education, applied AI, and medical products.
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The Metric Is Not the Mission is a ten-part examination of how Big Tech moved from building and expanding the open internet to increasingly shaping it around its own metrics, incentives and assumptions. Across the series, the argument follows the evolution of the platform economy—from the optimism of the early internet to the growing tensions around power, prediction, geopolitics, accountability and the future of digital life.
The series will be published in two parts each week over five weeks, with each installment building on the one before it. At the end of the series, the complete essay will be brought together in a single PDF edition, providing the full argument in one place.
Part III: When the Maps Became the Territory
In Part II, the story turned on a crucial distinction: measuring behavior is not the same as understanding people. Part III takes that idea further, examining what happens when the platforms’ representations of the world begin to substitute for the world itself.
There is a curious tendency among successful technologies to disappear. Not physically, of course, but cognitively. Once they become sufficiently embedded in everyday life, they cease to be experienced as technologies at all. Electricity is no longer a marvel of engineering but an expectation. We do not admire the plumbing each time we turn on a tap, nor do we reflect on the extraordinary complexity of global logistics every time fresh fruit appears on supermarket shelves in the middle of winter. The greatest infrastructures become invisible because they succeed so completely that we mistake them for part of the natural order.
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The internet reached that point sometime during the second decade of the twenty-first century. Yet something else happened along the way that proved far more consequential. As the network itself faded into the background, the platforms through which most people experienced it moved decisively into the foreground. Increasingly, users no longer spoke about “going online.” They spoke about opening an app.
That linguistic shift deserves more attention than it usually receives. Language often reveals structural change before statistics do. To “browse the web” implied movement across an open landscape whose boundaries were undefined. One followed links, discovered obscure websites, stumbled upon ideas that had not been recommended by anyone, and occasionally became gloriously lost. The experience resembled wandering through an unfamiliar city with no particular destination in mind. Serendipity was not a flaw in the architecture; it was one of its defining virtues.
Applications altered that relationship almost without anyone noticing. They replaced geography with destination. Instead of entering a network whose possibilities remained unknown, we entered environments that had already been organized on our behalf. The internet did not disappear, but it became increasingly hidden beneath layers of interface, recommendation and curation. Like passengers traveling through an airport without ever seeing the city beyond the terminal, we continued moving through digital space while encountering only the carefully managed environments that had been prepared for us.
This transformation is often described as an inevitable consequence of convenience. While accurate in its own right, this explanation offers an incomplete narrative. Convenience was certainly the language through which the platforms justified many of their design choices. Friction was treated as the great enemy of the digital age. Every additional click became an obstacle to be eliminated. Every decision that users might otherwise make for themselves could instead be anticipated by software. Recommendation replaced search. Autoplay replaced choice. Infinite scrolling replaced endings. The future, we were told, belonged to experiences so seamless that they would feel almost effortless. And they did.
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It is difficult to criticize convenience because convenience is genuinely valuable. Few people wish to return to an internet in which finding information required memorizing obscure web addresses or navigating labyrinthine directories. The platforms did not succeed by forcing people into inferior experiences. They succeeded because, for many years, they built better ones.
Yet convenience has always carried an intellectual cost. Every technology that removes friction also removes moments of deliberation. The elevator spares us the staircase but also the awareness of distance. Satellite navigation ensures that we rarely become lost, while quietly diminishing our ability to construct mental maps of the places through which we travel. Streaming services relieve us of searching for entertainment, but in doing so they also shape the boundaries of what we are likely to discover. Every act of technological simplification transfers a small measure of agency from the individual to the system.
The internet had originally been built on a different assumption. Its underlying protocols did remarkably little. They did not decide which website deserved prominence, which ideas should travel furthest, or which communities ought to flourish. Their genius lay precisely in their restraint. They created conditions under which others could innovate without first requesting permission. The web itself functioned less like a product than like a constitutional order: a simple framework within which extraordinary diversity could emerge.
Platforms gradually adopted the opposite philosophy. They did not merely provide the rules of the game; increasingly, they became active participants in every interaction taking place within it. They selected what deserved attention, inferred what users might prefer before users themselves knew it, prioritized certain relationships over others and determined, through millions of microscopic computational decisions, the contours of everyday experience. The architecture became less constitutional than managerial.
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There is an illuminating parallel here with the history of cities. The most enduring cities are rarely the ones that have been planned in every detail. They are those that accumulated layer upon layer of human activity over centuries, adapting continuously to changing needs without ever fully surrendering their unpredictability. One finds unexpected bookshops beside cafés, workshops hidden behind apartment blocks, public squares appropriated for demonstrations one week and festivals the next. Their vitality emerges not from perfect organization but from the freedom they grant people to appropriate space in ways that planners never anticipated.
Shopping malls operate according to an altogether different logic. They are meticulously designed environments in which every entrance, corridor, sightline, and seating area has been carefully considered. Music, lighting, and architecture work together to produce an experience that feels spontaneous while being anything but. There is comfort in their orderliness. They are clean, efficient, and reassuringly predictable. Yet no one mistakes a shopping mall for a city. Its purpose is not to cultivate civic life but to optimize a particular set of behaviors within a privately governed space.
The analogy is imperfect, as all analogies are, but it captures something essential about the transformation of the internet. The early web invited participation because it remained fundamentally unfinished. It assumed that users would contribute to shaping it. Today’s dominant platforms present themselves as complete worlds. Participation still exists, but it takes place within boundaries established elsewhere. Users generate the content while the architecture remains firmly in corporate hands.
Perhaps this is why the language of “community” has begun to feel strangely hollow. Communities, in the classical sense, are rarely designed. They emerge through shared experience, mutual obligation, and a degree of unpredictability that no algorithm can fully reproduce. Platforms, by contrast, increasingly treat community as an engineering problem to be optimized. They recommend friendships, suggest conversations, rank relevance, suppress friction, and amplify interaction according to models whose objectives are necessarily commercial because the organizations that develop them are commercial enterprises.
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None of this should be understood as an accusation of bad faith. Many of the engineers responsible for these systems genuinely believed they were improving people’s lives. The difficulty lies elsewhere. Every large institution eventually begins to confuse the optimization of its own internal metrics with the fulfillment of its original purpose. Universities sometimes mistake publication counts for scholarship. Hospitals occasionally confuse efficiency with care. Governments become preoccupied with administrative process rather than public service. Technology companies are no different. The indicators that make sense within an organization slowly become proxies for the world outside it. The metric is not the mission. This is the point at which the maps begin to replace the territory.
The extraordinary quantities of behavioral data collected by digital platforms produce an understandable confidence. When one can observe billions of interactions each day, it becomes tempting to believe that society itself has become legible. Human behavior appears measurable, predictable and, increasingly, governable. The platform begins to resemble reality because so much of reality passes through the platform.
Yet the map is never the territory. It captures what can be measured, not everything that matters. A map records roads but not the reasons people travel. It identifies cities without conveying the lives unfolding within them. Likewise, recommendation systems observe behavior with astonishing precision while remaining largely indifferent to experience itself. They recognize patterns without necessarily understanding meaning.
That distinction mattered little while the platforms continued solving the problems that had made them indispensable. It becomes far more consequential once they begin confronting a world that no longer resembles the one for which they were originally designed. Because societies have changed; politics has changed; and, the internet has changed. The question is whether the companies that grew powerful by interpreting one era have noticed that another has already begun.
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Konstantinos Komaitis, PhD, is a veteran of developing and analysing Internet policy to ensure an open and global Internet.
While smartphones won’tstop getting bigger, e-readers seem to be getting smaller. Boox has been at the forefront with one of the most popular small e-readers, the Boox Palma, and now it is adding an even smaller model.
Boox announced the Picco, with preorders opening today. Its screen is just under 4 inches (3.97 to be exact), making it about the size of a playing card. It’s even smaller than the Xteink X4 Pro I tested earlier this year, which has a 4.3-inch screen (but just slightly larger than the 3.7-inch Xteink X3), and considerably smaller than the upcoming Boox Palma 3’s 6.19-inch screen. I liked the size of the Xteink in my hand, but navigating the interface and getting books were challenging, so I’m excited to see another option in that smaller size from a maker with more accessible ebooks (though still not as convenient as a Kindle or Kobo with their built-in stores).
The Picco will cost $100 and is expected to ship in November. I’ll be testing it soon, but in the meantime, here are the details if you’ve been eyeing a tiny e-reader.
An E-Reader for Productivity
Courtesy of Boox
The Boox Picco has a monochrome screen with a resolution of 235 pixels per inch and an adjustable front light that switches between warm- and cool-toned lighting. The microSD card slot supports up to 2 TB of flash memory storage (a 16 GB card is included). There are both a touchscreen and physical page-turning controls, thanks to the buttons on the side of the device. The case has a magnetic ring so you can attach it to the back of a smartphone, though I’ll have to see how well it fits when I test it, as I had mixed results attaching an Xteink to my phone due to both fit and magnet strength.
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Courtesy of Boox
Boox says the Picco will have a streamlined operating system focused on reading and digital utility tools. It’s also the first in what Boox calls its Tiles lineup, which is how you’ll access ebooks on this device. You can also use web and USB-C file transfers (the Picco has Wi-Fi and Bluetooth connectivity) to get ebooks onto the Picco. The Picco also has the Pomodoro, Todo, and Countdown apps, so you can use it as both an e-reader and a productivity gadget—handy, and a bigger motivation to keep it attached to the back of your phone even when you aren’t reading.
I’m intrigued to see it in action. Boox’s most popular e-reader could become the Picco over the Palma 3, but we’ll have to wait for both devices to become available to see which is the better buy. Stay tuned for my reviews of both when they come out.
But a Chromium-based design means it can only be so efficient.
Discord
Discord is working on a new mode for its social platform that it says might be less resource-intensive. Screenshots of an option called Game Mode began circulating on social media over the weekend. The description shown for the Game Mode toggle states that it will “Reduce Discord’s CPU and GPU usage while a game is running.” By making the chat platform less resource-intensive, concurrently running software should be able to run more smoothly.
Today, the company confirmed on X that this experimental mode will begin rolling out to its users next week. The brief official announcement about Game Mode added that Discord is “aiming to add more resource-saving features over time.”
Discord is based on the Electron web app framework, which uses Javascript and Chromium for creating software. The open-source Chromium, which is the basis for Google’s Chrome and several other browsers, is not known as the most efficient tool for web development. A feature like Game Mode could offer some performance improvements, especially while also running a beefy AAA game on the same machine, but there may only be so far that Discord will be able to streamline on its current architecture.
Six of the nine independent experts on the advisory board of the Global Internet Forum to Counter Terrorism—a consortium run by several of the biggest US tech companies—resigned on Monday, according to a letter seen by WIRED and interviews with three of the people.
The tensions between the independent advisory committee and the GIFCT date back to an email the counterterrorism and free speech experts received in July from Meta’s Nell McCarthy, a vice president overseeing content policy. For years, the group had advised the GIFCT on how to prevent platforms from becoming havens for the radical organizations and individuals blamed for some of the world’s worst mass violence.
But McCarthy wrote that while the consortium welcomed the experts’ insights on violent trends, it no longer desired their scrutiny on the effectiveness of Big Tech’s efforts to curtail violence. Meta and other leaders wanted to “refresh” the 6-year-old independent advisory committee the experts sat on, she wrote. Meta currently serves as chair of GIFCT’s operating board, giving it outsized influence over policy changes, though other companies on the panel must ultimately approve.
New additions to the rotating advisory committee had previously been elected by current members; under the plan laid out in July, they would instead be picked by tech companies. The committee would be barred from weighing in on key topics such as the consortium’s performance and making recommendations together as a group. Its role as a watchdog would be neutered, advisers believed.
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In their resignation letter, the departing members of the committee wrote that their appeals against the plan had been “ignored” and that, in turn, they had “lost confidence in the GIFCT’s ability to deliver effectively on its founding mission” to prevent terrorists from exploiting online services. “We all know that a body that cannot scrutinise, take a position, or evaluate is not an advisory body at all,” the letter stated. “It is decoration and accountability theatre.”
Meta deferred comment on the resignations to the GIFCT. An unsigned statement sent to WIRED by a GIFCT spokesperson on behalf of the consortium’s leadership and the Meta-chaired operating board says the proposed changes have been “informed by several rounds of feedback” and are not yet final. They came out of discussions on “how to more effectively engage civil society and governments for substantive input” as “multi-stakeholderism is a core principle” for the GIFCT.
The consortium has about 35 members; other long-time board members include Microsoft and YouTube. A small staff alerts members to violent content, helps them exchange threat intelligence, and commissions research on countering extremism. While the coordination has helped some platforms combat problematic content, critics believe the group isn’t living up to its potential.
A WIRED investigation in 2024 uncovered several issues with GIFCT, including Meta delaying TikTok’s membership bid and poor relations between the companies at the helm and the unpaid independent advisory body. It also revealed failures in the tip-sharing database the consortium oversees to coordinate takedowns of problematic content.
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The dismantling of the advisory group threatens to deteriorate the organization’s work further at a time when balancing free expression and online safety has become more challenging. Generative AI tools have simplified content creation but imposed limited guardrails.
The experts who resigned include university researchers and representatives of civil society organizations. They had agreed with McCarthy on the need for changes to improve the results of the decade-old anti-terrorism consortium. But they believe the proposal, which could be finalized soon, amounts to a step backward.
“There won’t be critical voices raising concerns about what GIFCT is doing or is not doing,” one of the departing experts says. “It may seem politically convenient for them to abolish the independent advisory committee, but they are going to regret it in the longer term.”
The successful mission also deployed 26 of SpaceX’s latest Starlink satellites.
SpaceX
For its 14th flight, SpaceX’s Starship powered by its Super Heavy megarocket has entered low-Earth orbit for the first time. SpaceX kicked off this major undertaking early Monday morning but had to deal with some hiccups on the way, including losing one of its six Raptor engines. Ultimately, SpaceX decided to push on with the mission and successfully reached orbit albeit with some compromise.
SpaceX originally planned to have Starship orbit Earth six times over a span of nearly 10 hours for the Flight 14 mission. With one of the engines offline, the plan changed to only spend approximately three hours in orbit before reentering the Earth’s atmosphere and landing in the Pacific Ocean. As part of the same mission, SpaceX managed to deploy 26 of its Starlink V3 satellites into orbit. SpaceX said that its Starlink team has made contact with all newly-deployed 26 satellites in orbit, which will eventually be used to improve Internet speeds for customers. While previous Starship missions also carried several V3 satellites, they only remained in suborbital space and served as test flights to see if the new satellites would connect to the existing Starlink constellation.
While Starship’s flight 14 marked a major milestone of reaching orbit, the mission also served as a test of the reusability of its Super Heavy rocket. After providing the necessary boost to Starship, Super Heavy landed in the Gulf of Mexico, where it will eventually be retrieved, but not by a launch tower‘s “chopsticks” as previously demonstrated.
Mipmapping is a good way to add a lot more detail to a 3D scene without overburdening the rendering hardware with detail that won’t be seen by the user. This level-of-detail rendering technique was demonstrated on the N64 console hardware a few years ago by [James Lambert] with [Michael Biggins], also known as [PhonicUK], now demonstrating it on the ESP32-S3 using his own Jet rendering engine.
Although level-of-detail rendering really speeds things up, it does also require far larger texture sizes, with [James]’s N64 demo taking up 40 MB of a 64 MB cartridge. To fit it on an ESP32-S3 with 16 MB of PSRAM and no SD card expansion or such the textures were further compressed to use 8-bit indexing, resulting in a mere 5.01 MB of textures.
There’s a demonstration video over on the associated Reddit thread, which shows the camera moving through the scene. Even if not as exciting as the Wipeout port by [Michael] that we previously covered, it does make clear that even without a proper 3D GPU the ESP32-S3 is already a pretty capable gaming machine that can go toe-to-toe with some 1990s consoles.
There are five weeks left until the midterm elections, and extremism is on the ballot in much of the US. A WIRED review of candidates running for statewide and federal positions in November, along with exclusive data on candidates running for state-level positions, reveals hundreds of Republican candidates who openly express virulently hateful ideologies, share racist content online, have close ties to white supremacist and antisemitic figures, and are members of far-right groups online. President Donald Trump and his administration have openly embraced, endorsed and defended many of these candidates.
At a local level, over 500 candidates running for state legislator positions in November are members of far-right groups on Facebook that promote militias, gun rights, and Christian nationalism, according to data collected by the Institute for Research and Education on Human Rights and shared with WIRED.
“The candidates are taking a page out of the Trump administration’s playbook,” Luke Baumgartner, a former research fellow at George Washington University’s Program on Extremism, tells WIRED. Baumgartner claims that many of the candidates running in November have been inspired by those in the White House. “In essence, the executive branch has handed them a permission slip to say and do what would have been unthinkable during the George W. Bush, McCain, or [Mitt] Romney eras of the GOP,” he says.
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Extremist rhetoric has led to real world political threats. In 2025, terrorism and targeted violence incidents rose 19 percent compared to 2024, according to researchers at the University of Maryland; the US Capitol Police reported an increase in “threat assessment cases” against members of Congress for the third year in a row, with a 58 percent increase from 2024; and the US Marshals Service documented threats against almost 400 judges, a roughly 5 percent increase from the previous year.
Here are five races involving candidates who have shared extremist ideologies or have close ties to extremist figures, that WIRED is watching ahead of the November midterms.
The Texas Railroad Commissioner Race
Photo-Illustration: WIRED Staff; Getty Images
Bo French, the GOP candidate for Texas Railroad Commissioner, is so extreme that Republican strategist Karl Rove has said he would vote for a Democrat rather than supporting a “bigot.”
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Roborock Qvero 2 Pro: 30-second review
The Qrevo 2 Pro is the latest robot vacuum and mop combo cleaner from Roborock and includes detachable mop plates to help ensure it doesn’t get carpets wet while cleaning.
Cleaning performance is a match for some of the most expensive options on the market with its mopping being as good as I have ever tested making it a fantastic pick for the price.
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It is relatively tall so it can’t clean under low furniture and its hard floor cleaning isn’t flawless but it is an excellent option, especially when on sale.
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Roborock Qrevo 2 Pro: price & availability
List price: $799.99 / £649.99 / AU$1,199
Launch date: August 2026
Availability: worldwide
The Roborock Qrevo 2 Pro sits right on the line between premium and mid-range robot vacuums, with a list price $799.99 / £649.99 / AU$1,199. However, almost immediately after launch I have already seen it get a significant discount to $549 / £549.99, tipping it firmly into the more affordable category — especially considering the features and performance.
Even at full price it sits below the Roborock’s Curv models and produces similar results (although it doesn’t have the AdaptLift chassis for getting over higher thresholds between rooms) making it an excellent value pick. If you’re looking to spend less, the Roborock Q7 is a good alternative although it has much lower suction power and doesn’t have an auto-empty dock.
A branded floor cleaner compatible with the Qrevo 2 Pro is available on Roborock’s website but they don’t push this hard and after testing it without it, it’s definitely not required.
You don’t have to use Roborock’s own floor cleaner, but you will need to buy disposable dust bags (Image credit: Future)
What you will need to buy are disposable dust bags as these are thrown away once full. A three-pack costs $39.90 in the US, and a six-pack is £31.99 in the UK, so this needs to be considered in the running costs. I have tested Roborocks with cheaper unbranded dust bags in the past and not encountered problems, but check model compatibility before ordering.
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You can also buy replacement brushes, mop pads, filters and other parts in case anything breaks.
Roborock Qrevo 2 Pro review: design
Smart-looking robot and dock
Can’t get under low furniture
Smart home integration
Available in all white or black (currently only available in white in the UK and Australia) it is pretty unfussy in terms of design with the dock a bit squarer than the slightly bulbous base stations of Roborock’s Curv series.
The robot is circular, measuring 14 inches wide with a 6-inch cleaning opening underneath for picking up dirt.
The lidar scanner the robot uses to navigate sits in a cage on top of the robot, increasing its height and reducing its clearance so it won’t be able to vacuum under low furniture like a sofa, unlike Roborock’s Qvrevo CurvX with its retractable lidar scanner.
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Image 1 of 2
The robot’s lidar scanner doesn’t retract, so it can’t fit under low furniture
(Image credit: Future)
The dock is easy to set up, provided you have sufficient space
(Image credit: Future)
Setting the dock up is easy, involving just attaching the ramp to the front of the dock, filling the clean water tank and plugging it in. The more difficult part may be finding a place for it as it needs to sit on a hard floor with at least 1.5 inches either side and 27.5 inches of clear space in front of the dock. It also needs to be within reach of a power socket and somewhere you won’t trip up over it or mind looking at it everyday.
Set up is simple, you will need to find an appropriate spot for the dock on a hard floor with plenty of space either side. You then download the app, pair the robot and then you can send it on a discovery run around your house to build a map.
Once it has scanned the space you can then edit the map to combine or divide spaces into rooms, mark areas as no-go zones, manually designate floor types and mark things like curtains and furniture. I found that aside from ensuring the rooms are divided correctly I didn’t have to make any changes to get it to work well, with the carpeted areas successfully detected.
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The robot has detachable mop pads, which it leaves in its dock after mopping your floors (Image credit: Future)
After setup you can use the app to kickstart cleans of the whole map, one or more selected rooms or a designated zone clean you can mark on the map. As well as ad hoc cleans you can set routines for different types of cleans from deep intensive cleans, to specific after dinner cleans of smaller zones or light maintenance vacuuming without mopping.
As the Qrevo 2 Pro has detachable mops, rather than vacuuming and mopping room by room it first goes around the carpeted areas of the whole space you are cleaning first. Once that is complete it returns to the dock to reattach the mop heads before cleaning the rest of the hard floors.
Obstacle detection was generally good, though the Qrevo 2 Pro did get caught on a USB charging cable (Image credit: Future)
Cleaning performance is OK on hard floors, although it can lead to some spreading of larger debris as the edge cleaning arm sent rice grains skittering across the floor. It did better with fine particles, although there was still some tea visible on a pass on the standard cleaning settings.
It handled larger particles much better on carpet, picking up almost every single grain of rice, although there was some tea left after the first pass.
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As with most robot vacuums, its edge cleaning wasn’t great on carpet, but the sweeping brush does well to move material into the vacuum’s path on hard floors..
During the obstacle avoidance tests it did well to identify the shoe and sock, staying clear as it cleaned around them but it did go over the charging cable, getting it stuck in the cleaning brushes and needing me to rescue it before it could continue cleaning.
During my mopping tests on first pass it did a reasonable job taking up a fair bit of the ketchup although there was a hint of the soy sauce remaining. Trying a second clean on maximum water flow and cleaning settings it did a fantastic job cleaning off even the dried on patches of ketchup.
While the most intensive cleaning took some time and left the floor relatively wet, it was some of the best mopping I have ever seen from a robot. You do need to delve into the settings to get the best performance and it probably is only practical for small zone cleaning but it’s still a lot less effort than getting out a mop and bucket.
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On regular cleaning settings it can manage around five regular rooms before needing recharging so depending on your home it may need to recharge before completing a full clean. Recharging takes around four hours.
It’s not loud in operation, registering around 60db while cleaning on carpet. The dock emptying is a little louder, topping out at 69db (around the level of normal conversation), although this is pretty brief so shouldn’t be too disruptive.
The Qrevo 2 Pro uses dust bags so emptying it of dirt is quick and neat, although that does add ongoing costs to using it. You will also need to empty the waste water and refill the clean water tanks regularly which is easy to do (as long as you leave enough clearance room above the robot) as these lift out of the dock and then can be unclipped open for emptying or filling.
Smart home integration worked well for starting a whole house clean but I did have a little trouble using the room clean function for custom named rooms. Naming a room one of the default names such as Kitchen or Living Room worked fine, but a custom name such as Utility Room sparked a whole house clean instead.
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While custom room names would be helpful, even getting default room cleaning to work is not a guarantee with any of the robot vacuum cleaners I have tested so, relatively, this is a success.
Performance score: 4.5 out of 5
Roborock Qrevo 2 Pro: app
Easy setup
Clear house map
Can set frequent types of clean and schedule cleans
The app is simple to use, although I did find it can sometimes get a little lost if you select your cleaning mode too quickly, meaning you have to move to another mode and back again before getting the options you need.
Once you select the robot you are shown the map of your home and have four tabs to select the type of clean you want, ‘Full’, ‘Room’, ‘Zone’ and ‘Routine’. ‘Full’ starts a clean of the whole map and to the left of the play button there is a button for adjusting the type of clean including whether you want to vacuum and mop, just vacuum or just mop. There are also controls for the level of suction, waterflow, amount of times you want the robot to clean the area and the intensity of the cleaning pattern.
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The app is simple to use provided you don’t hop between modes too quickly
(Image credit: Future)
Select your robot to see a map of your home
(Image credit: Future)
You can adjust the settings for the vacuum and mop independently
(Image credit: Future)
The ‘Routine’ option allows you to schedule different types of cleaning
(Image credit: Future)
Room allows you to select one or more rooms to clean, while Zones lets you pick multiple rectangular sections of your chosen size on the map for it to clean, allowing you to spot clean specific sections of floor.
‘Routine’ is the final option and allows you to create shortcuts for regular types of clean that will then be available from the opening screen on the app. This is useful for setting up things like zone cleans that focus around a dining table following a meal or if you want a predefined deep clean compared with a light maintenance clean.
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Despite the name, ‘Routine’ doesn’t include any scheduling functionality by default. That is hidden somewhat in the settings menu, but can be used with scheduled cleans (if your home doesn’t regularly have bits of Lego on the floor like mine does).
Should you buy the Roborock Qrevo 2 Pro?
Swipe to scroll horizontally
Attribute
Notes
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Score
Value for money
Even at full price the Qrevo 2 Pro represents good value and at a discount price it is a fantastic deal. You will need to consider the price of disposable dust bags in the running costs but you’ll be hard pressed to find these features and performance for less.
5/5
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Design
The design is more focused on function than form but it is unfussy and designed to fit into most homes. The tall mounting of the lidar scanner will stop it from cleaning under low furniture.
4/5
Performance
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Vacuuming performance is good and mopping is excellent although It did have trouble picking up on a charging cable in our object avoidance tests leading it to get stuck.
4.5/5
App
The app makes it easy to control, with simple options for choosing the type and location of cleans as well as a clear map of your home.
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5/5
Buy it if
Don’t buy it if
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How I tested the Roborock Qrevo 2 Pro
I tested the Roborock Qrevo 2 Pro over a period of over two weeks, using it as an everyday cleaner of a busy household.
As well as day to day use I put it through a series of tests, assessing its performance picking up fine particles and larger debris on carpet and hard floor by having it clean an area with a set amount of rice and tea sprinkled on the surface. Edge cleaning was also tested using tea on the edge of a carpet and hard floor area.
Mopping performance was tested by having the robot clean up a spill of soy sauce, as well as tackling a patch of dried ketchup. After an initial pass on regular settings, this was then retested with cleaning settings set to maximum.
The forthcoming iPhone Duo has more features than Apple has revealed, including a whole series of faces for its StandBy mode. Here’s what to eventually look for.
While pre-orders for iPhone Duo don’t start until October 16, and the Xcode betas still don’t show developers everything, one has found many new options coming to iOS 27 for this device.
Developer pdfu reports that the Xcode 27.1 simulator is lacking Rushmore, an app that is for displaying the new StandBy faces. But despite that, they have managed to get certain of the new faces running.
Here’s a deep dive into StandBy mode on iPhone Duo.
Rushmore, the app meant to host the redesigned faces, is missing from the iOS 27.1 simulator.
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But its localization strings reveal unreported faces, and I got some new faces running in the current renderer. pic.twitter.com/lDQHOy5R0e
These working ones are variants on familiar clock and calendar faces as used on the iPhone‘s current StandBy mode. But code references describe several more options.
Here’s a deep dive into StandBy mode on iPhone Duo.
Rushmore, the app meant to host the redesigned faces, is missing from the iOS 27.1 simulator.
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But its localization strings reveal unreported faces, and I got some new faces running in the current renderer. pic.twitter.com/lDQHOy5R0e
Just because something is referenced in code, it doesn’t necessarily mean that it will launch immediately. But those code references show five more faces:
Home Camera: up to nine camera views
Home Module
Flow
Fade
Snoopy
There are no details for Home Modular, Flow, or Fade. But the code for Flow also includes the term ResponsiveArt, which suggests that it will at least be an animated face.
Face editor
The iPhone Duo will also feature a revised editor for customizing these StandBy faces. It’s very similar to the existing one on iPhone and is perhaps more like the Apple Watch face editor.
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Users can swipe left and right to adjust, for instance, the style of an analog clock, its numerals, light mode and dark mode, plus the color of the face and the hands.
Some of these clock faces also have room for two widgets. Then some more are digital instead of analog and there pdfu has found code references for five layouts:
StandBy
Stacked
Top
Middle
Bottom
The presumption is that all but the StandBy one may actually be intended for when the iPhone is opened like a book.
Developer pdfu has a strong track record for examining beta code. They confirmed that the iPhone Duo would use Touch ID, for instance, and most recently uncovered that Siri could be replaced by Claude or ChatGPT.
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