The real long-term bogey FCC head Brendan Carr tells Europe to get on board with Starlink Author of Project 2025 chapter says EU regulators have “bias” against US tech firms. Kieran Smith and Peggy Hollinger, Financial Times – Apr 15, 2025 9:27 am | 59 A Starlink satellite dish in Oriximiná, Brazil on August 9, 2023. Credit: Getty Images | Tarcisio Schnaider A Starlink satellite dish in Oriximiná, Brazil on August 9, 2023. Credit: Getty Images | Tarcisio Schnaider Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only   Learn more One of President Donald Trump’s top officials has warned European allies hesitant about working with Elon Musk’s satellite Internet company that they needed to choose between US and Chinese technology. Federal Communications Commission Chair Brendan Carr told the Financial Times that “allied western democracies” needed to “focus on the real long-term bogey: the rise of the Chinese Communist party.” His comments come as European governments and some European companies consider whether Starlink—which is owned by Musk’s SpaceX and provides satellite broadband and limited mobile services—is a reliable partner after Washington threatened to switch off its services in Ukraine. Carr, a longtime ally of Musk who Trump tapped to run the agency after his re-election as president, said it was “unfortunate” that politics appeared to be influencing long-term decisions. “If you’re concerned about Starlink, just wait for the CCP’s version, then you’ll be really worried,” he said. UK telecoms companies BT and Virgin Media 02 are among the companies trialling Starlink’s technology for mobile or broadband services—although neither has yet signed a full agreement with the provider. Carr has previously argued in favor of Musk’s businesses in the US, claiming they had been targets of “regulatory harassment” ever since the billionaire took over Twitter in 2022. He has also repeatedly suggested that Joe Biden’s administration discriminated against Starlink by denying it US government subsidies for rural broadband. Carr told the FT that he believed Europe was “caught” between Washington and Beijing and warned of a “great divide” opening up between “CCP-aligned countries and others” in artificial intelligence and satellite technology. The FCC chair—who authored a chapter of Project 2025, the conservative blueprint for a Republican presidency published by the rightwing Heritage Foundation—said European regulators had a “bias” against US technological companies. He also accused the European Commission of “protectionism” and an “anti-American” attitude. “If Europe has its own satellite constellation then great, I think the more the better. But more broadly, I think Europe is caught a little bit between the US and China. And it’s sort of time for choosing,” he said. The European Commission said it had “always enforced and would continue to enforce laws fairly and without discrimination to all companies operating in the EU, in full compliance with global rules.” Shares in European satellite providers such as Eutelsat and SES soared in recent weeks despite the companies’ heavy debts, in response to the commission saying that Brussels “should fund Ukrainian [military] access to services that can be provided by EU-based commercial providers.” Industry experts warned that despite the positivity, no single European network could yet compete with Starlink’s offering. Carr said that European telecoms companies Nokia and Ericsson should move more of their manufacturing to the US as both face being hit with Trump’s import tariffs. The two companies are the largest vendors of mobile network infrastructure equipment in the US. Carr said there had been a historic “mistake” in US industrial policy, which meant there was no significant American company competing in the telecom vendor market. “I don’t love that current situation we’re in,” he said. Carr added that he would “look at” granting the companies faster regulatory clearances on new technology if they moved to the US. Last month, Ericsson chief executive Börje Ekholm told the FT the company would consider expanding manufacturing in the US depending on how potential tariffs affected it. The Swedish telecoms equipment maker first opened an American factory in Lewisville, Texas, in 2020. “We’ve been ramping up [production in the US] already. Do we need bigger changes? We will have to see,” Ekholm added. Nokia said that the US was the company’s “second home.” “Around 90 percent of all US communications utilizes Nokia equipment at some point. We have five manufacturing sites and five R&D hubs in the US including Nokia Bell Labs,” they added. Ericsson declined to comment. © 2025 The Financial Times Ltd. All rights reserved. Not to be redistributed, copied, or modified in any way. Kieran Smith and Peggy Hollinger, Financial Times Kieran Smith and Peggy Hollinger, Financial Times 59 Comments

John Edwards, Technology Journalist & AuthorApril 15, 20255 Min Readeverything possible via Alamy Stock PhotoFew IT leaders dispute the fact that AI is this decade's breakthrough technology. Yet this wasn't always the case. In fact, until relatively recently, many AI cynics failed to recognize the technology's potential and, therefore, fell behind more astute competitors. As they begin to make up for lost time, business and technology leaders should focus on key readiness areas: data infrastructure, governance, regulatory compliance, risk management, and workforce training, says Jim Rowan, head of AI at Deloitte Consulting. "These foundational steps are essential for success in an AI-driven future," he notes in an email interview. Rowan cites Deloitte's most recent State of Generative AI in the Enterprise report, in which 78% of respondents stated they expect to increase their overall AI spending in the next fiscal year. However, the majority of organizations anticipate it will take at least a year to overcome adoption challenges. "These findings underscore the importance of a deliberate yet agile approach to AI readiness that addresses both regulation and talent challenges to AI adoption." Getting Ready The key to getting up to speed in AI lies in hiring the best advisor you can find, someone who has expertise in your company's area, advises Melissa Ruzzi, AI director at SaaS security firm AppOmni. "Some companies think the best way is to hire grad students fresh out of college," she notes via email. Yet nothing beats domain expertise and implementation experience. "This is the fastest way to catch up." Related:Many organizations underestimate the amount of cultural change needed to help team members adopt and effectively use AI technologies, Rowan says. Workforce training and education early in the AI journey is essential. To foster familiarity and innovation, team members need access to AI tools as well as hands-on experience. "Talent and training gaps can't be overlooked if organizations aim to achieve sustained growth and maximize ROI," he says. Every company has multiple projects that can benefit from AI, Ruzzi says. "It's best to have an in-house AI expert who understands the technology and its applications," she advises. "If not, hire consultants and contractors with domain experience to help decide where to get started." Many new AI adopters begin by focusing on internal projects tied to customer delivery timelines, Ruzzi says. Others decide to start with a small customer-facing project so they can prove AI's added value. The decision depends very much on the ROI goal, she notes. "Small projects of short duration can be a good starting point, so the success can be more quickly measured." Related:Security Matters AI security must always be addressed and ensured, regardless of the project's size or scope, Ruzzi advises. View developing an initial AI project as being similar to installing a new SaaS application, she suggests. "It's crucial to make sure that configurations, such as accessibility and access to data aren't posing a risk of public data exposure or, worse yet, are vulnerable to data injection that could poison your models." To minimize the security risk created by novice AI teams, start with simple implementations and proofs of concepts, such as internal chatbots, recommends David Brauchler, technical director and head of AI and ML security at cybersecurity consulting firm NCC Group. "Starting slow enables application architects and developers to consider the intricacies AI introduces to application threat models," he explains in an email interview. AI also creates new data risk concerns, including the technology's inability to reliably distinguish between trusted and untrusted content. "Application designers need to consider risks that they might not be used to addressing in traditional software stacks," Brauchler says. Related:Organizations should already be training their employees on the risks associated with AI as part of their standard security training, Brauchler advises. "Training programs help address common pitfalls organizations encounter that lead to shadow AI and data leakage," he says. Organizations that aren't already providing guidance on security issues should incorporate these risks into their training programs as quickly as they can. "For employees who contribute to the software development lifecycle, technical training should begin before developing AI applications." Final Thoughts As organizations gain experience with GenAI, they will begin to understand both the rewards and challenges of deploying the technology at scale, Rowan says. "The need for disciplined action has grown," he observes. As technical preparedness has improved, regulatory uncertainty and risk management have emerged as significant barriers to AI progress, particularly for newcomers, Rowan says. "Talent and workforce issues remain important, yet access to specialized technical talent no longer seems to be a dire emergency." Although tempting, Brauchler warns against rushing into AI. "AI will still be here in a few years [and] taking a thoughtful, measured approach to AI business strategy and security is the best way to avoid unnecessary risks," he concludes.About the AuthorJohn EdwardsTechnology Journalist & AuthorJohn Edwards is a veteran business technology journalist. His work has appeared in The New York Times, The Washington Post, and numerous business and technology publications, including Computerworld, CFO Magazine, IBM Data Management Magazine, RFID Journal, and Electronic Design. He has also written columns for The Economist's Business Intelligence Unit and PricewaterhouseCoopers' Communications Direct. John has authored several books on business technology topics. His work began appearing online as early as 1983. Throughout the 1980s and 90s, he wrote daily news and feature articles for both the CompuServe and Prodigy online services. His "Behind the Screens" commentaries made him the world's first known professional blogger.See more from John EdwardsWebinarsMore WebinarsReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like

Last week, I spoke with two US Marines who spent much of last year deployed in the Pacific, conducting training exercises from South Korea to the Philippines. Both were responsible for analyzing surveillance to warn their superiors about possible threats to the unit. But this deployment was unique: For the first time, they were using generative AI to scour intelligence, through a chatbot interface similar to ChatGPT.  As I wrote in my new story, this experiment is the latest evidence of the Pentagon’s push to use generative AI—tools that can engage in humanlike conversation—throughout its ranks, for tasks including surveillance. Consider this phase two of the US military’s AI push, where phase one began back in 2017 with older types of AI, like computer vision to analyze drone imagery. Though this newest phase began under the Biden administration, there’s fresh urgency as Elon Musk’s DOGE and Secretary of Defense Pete Hegseth push loudly for AI-fueled efficiency.  As I also write in my story, this push raises alarms from some AI safety experts about whether large language models are fit to analyze subtle pieces of intelligence in situations with high geopolitical stakes. It also accelerates the US toward a world where AI is not just analyzing military data but suggesting actions—for example, generating lists of targets. Proponents say this promises greater accuracy and fewer civilian deaths, but many human rights groups argue the opposite.  With that in mind, here are three open questions to keep your eye on as the US military, and others around the world, bring generative AI to more parts of the so-called “kill chain.” What are the limits of “human in the loop”? Talk to as many defense-tech companies as I have and you’ll hear one phrase repeated quite often: “human in the loop.” It means that the AI is responsible for particular tasks, and humans are there to check its work. It’s meant to be a safeguard against the most dismal scenarios—AI wrongfully ordering a deadly strike, for example—but also against more trivial mishaps. Implicit in this idea is an admission that AI will make mistakes, and a promise that humans will catch them. But the complexity of AI systems, which pull from thousands of pieces of data, make that a herculean task for humans, says Heidy Khlaaf, who is chief AI scientist at the AI Now Institute, a research organization, and previously led safety audits for AI-powered systems. “‘Human in the loop’ is not always a meaningful mitigation,” she says. When an AI model relies on thousands of data points to draw conclusions, “it wouldn’t really be possible for a human to sift through that amount of information to determine if the AI output was erroneous.” As AI systems rely on more and more data, this problem scales up.  Is AI making it easier or harder to know what should be classified? In the Cold War era of US military intelligence, information was captured through covert means, written up into reports by experts in Washington, and then stamped “Top Secret,” with access restricted to those with proper clearances. The age of big data, and now the advent of generative AI to analyze that data, is upending the old paradigm in lots of ways. One specific problem is called classification by compilation. Imagine that hundreds of unclassified documents all contain separate details of a military system. Someone who managed to piece those together could reveal important information that on its own would be classified. For years, it was reasonable to assume that no human could connect the dots, but this is exactly the sort of thing that large language models excel at.  With the mountain of data growing each day, and then AI constantly creating new analyses, “I don’t think anyone’s come up with great answers for what the appropriate classification of all these products should be,” says Chris Mouton, a senior engineer for RAND, who recently tested how well suited generative AI is for intelligence and analysis. Underclassifying is a US security concern, but lawmakers have also criticized the Pentagon for overclassifying information.  The defense giant Palantir is positioning itself to help, by offering its AI tools to determine whether a piece of data should be classified or not. It’s also working with Microsoft on AI models that would train on classified data.  How high up the decision chain should AI go? Zooming out for a moment, it’s worth noting that the US military’s adoption of AI has in many ways followed consumer patterns. Back in 2017, when apps on our phones were getting good at recognizing our friends in photos, the Pentagon launched its own computer vision effort, called Project Maven, to analyze drone footage and identify targets. Now, as large language models enter our work and personal lives through interfaces such as ChatGPT, the Pentagon is tapping some of these models to analyze surveillance.  So what’s next? For consumers, it’s agentic AI, or models that can not just converse with you and analyze information but go out onto the internet and perform actions on your behalf. It’s also personalized AI, or models that learn from your private data to be more helpful.  All signs point to the prospect that military AI models will follow this trajectory as well. A report published in March from Georgetown’s Center for Security and Emerging Technology found a surge in military adoption of AI to assist in decision-making. “Military commanders are interested in AI’s potential to improve decision-making, especially at the operational level of war,” the authors wrote. In October, the Biden administration released its national security memorandum on AI, which provided some safeguards for these scenarios. This memo hasn’t been formally repealed by the Trump administration, but President Trump has indicated that the race for competitive AI in the US needs more innovation and less oversight. Regardless, it’s clear that AI is quickly moving up the chain not just to handle administrative grunt work, but to assist in the most high-stakes, time-sensitive decisions.  I’ll be following these three questions closely. If you have information on how the Pentagon might be handling these questions, please reach out via Signal at jamesodonnell.22.  This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

Thomas Dohmke, the CEO of GitHub, believes AI "democratizes" access to software development. GitHub 2025-04-15T14:20:46Z Save Saved Read in app This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? GitHub CEO Thomas Dohmke believes coding should be taught as a core subject in schools. In a recent podcast interview, he said AI "democratizes" access to software development. Current developers should every tool available to keep sharpening their skills, the CEO added. You should still learn to code, says GitHub's CEO. And you should start as soon as possible."I strongly believe that every kid, every child, should learn coding," Thomas Dohmke said in a recent podcast interview with EO. "We should actually teach them coding in school, in the same way that we teach them physics and geography and literacy and math and what-not."Coding, he added, is one such fundamental skill — and the only reason it's not part of the curriculum is because it took "us too long to actually realize that."Dohmke, who's been a programmer since the 90s, said he's never seen "anything more exciting" than the current moment in engineering — the advent of AI, he believes, has made the field that much easier to break into, and is poised to make software more ubiquitous than ever."It's so much easier to get into software development. You can just write a prompt into Copilot or ChatGPT or similar tools, and it will likely write you a basic webpage, or a small application, a game in Python," Dohmke said. "And so, AI makes software development so much more accessible for anyone who wants to learn coding."AI, Dohmke said, helps to "realize the dream" of bringing an idea to life, meaning that fewer projects will end up dead in the water, and smaller teams of developers will be enabled to tackle larger-scale projects. Dohmke said he believes it makes the overall process of creation more efficient."You see some of the early signs of that, where very small startups — sometimes five developers and some of them actually only one developer — believe they can become million, if not billion dollar businesses by leveraging all the AI agents that are available to them," he added.Dohmke isn't the only tech leader to have identified the potential for leaner workforces — Garry Tan, CEO and president of famed Silicon Valley incubator Y Combinator, previously said he believes AI-assisted coding, or "vibe coding," now allows 10 or so engineers to build what would've once required the efforts of "50 or 100." Shrinking tech teams, however, could mean even fewer openings in software development, leading to anxiety around job replacement."The anxiety is understandable, but time and again, developers have discovered how to channel the new capabilities into entire domains of innovation that didn't exist before," Dohmke wrote in a January blog post. "They have always used automation to make their life easier."Though the tools are new, the mindset that GitHub's CEO said will best allow programmers to take advantage of them is anything but. For those already in the industry, Dohmke advises retaining a sense of curiosity and using everything on hand to continually sharpen their skills."You got to keep rehearsing. You got to keep training. You got to keep learning. You're never done with learning," he said. "If I look back 30 years of what development looked like back then and what it looks like now, I would have been very behind if I hadn't constantly read blogposts, literature, and tried out things myself." Recommended video

Donald Trump’s “Liberation Day” tariff policy, in which he declared trade war on the entire world simultaneously, was a bizarre and nonsensical undertaking, seemingly shaped only by the president’s own whims.But since that initial announcement, the policy has been modified to bear at least a little bit more of a resemblance to what Trump’s more sophisticated advisers wanted.That is: Now, the toughest tariffs by far are on China, and they’re paired with relatively much lower (but still significant) tariffs on the rest of the world while the administration seeks trade deals with various countries in hopes of forming a trade coalition against China.Trump’s advisers hope that this policy will achieve several things at once: bring manufacturing (and manufacturing jobs) back to the US, address national security concerns about dependence on China, boost US exports, raise revenue to help address the US national debt — and maybe even pave the way toward a restructuring of the global currency system.If all that sounds fanciful, that’s because it’s extremely fanciful. Many of those hoped-for benefits are quite implausible and extremely difficult to achieve. Tariffs, meanwhile, bring extremely significant costs and downsides that could very easily wreck his team’s hopes of trying to achieve those lofty aims.Furthermore, even Trump’s revised tariff policy isn’t at all well-tailored to achieve those aims — it’s still beating up allies we’d need against China, and targeting goods and industries it would make little sense to produce in the US. And his erratic implementation gets in the way even more by ruining businesses’ attempts to plan.In practice, the only thing Trump is really doing is economic damage – by making things more expensive, chilling investment in the US, reducing confidence in the US’s stability, and casting a pall of uncertainty over everything.What Trump’s relatively more sophisticated advisers say they’re trying to doIt’s hard to find any defenses of Trump’s actual “Liberation Day” as implemented that pass the laugh test, since the policy was so obviously incoherent and the repudiation by the markets was so scathing.But there’s been much bipartisan agreement in recent years that something has gone awry in the global trading system, and that the US needs to do something about it.Trump has his own peculiar instincts on what exactly the problem is (he is fixated on the US’s bilateral trade deficits with other countries, believing they signify other countries are beating us). However, some of his advisers and outside defenders — Treasury Secretary Scott Bessent, Council of Economic Advisers chair Stephen Miran, and ubiquitous pro-tariff conservative commentator Oren Cass — have tried to put forward a more intellectually sophisticated plan for tariff and trade reform.They believe that the US needs to revitalize manufacturing at home, for a variety of reasons. There’s the “making things” argument: that being a global leader in manufacturing advanced technologies would be strategically and economically beneficial. There’s the jobs argument: that new manufacturing jobs would be good for Americans “left behind’ by globalization. There’s also a national security argument: that the US’s dependence on China for critical goods, materials, and supply chains would be quite dangerous if the two nations come into serious conflict. The anti-China security case intertwines with the belief that they’re undercutting (or outcompeting) us economically. The argument goes that tariffs, by making foreign goods newly expensive, will help incentivize a new US manufacturing boom that provides jobs for Americans and puts critical industries back under our control. But to some Trump advisers, tariffs are just phase one in the plan. Truly revitalizing US manufacturing and exports, they say, requires much more sweeping change — and the key to unlocking this change is revaluing the US dollar.In recent years, the dollar has been strong, which makes it more expensive for foreigners to purchase US-made goods. They argue that the ultimate endgame of the trade war should be to bring countries to the table to forge a global accord to weaken the dollar. This, they believe, could truly help US exports compete on a global playing field again. And a weaker dollar would have the added benefit of making the federal government’s sizable interest payments on its debt more affordable.What could go wrong?Will new high tariffs bring sunshine, lollipops, and rainbows to the American economy?To put it mildly, completely restructuring the global economy is easier said than done. But trying to do so mainly through tariffs seems extremely risky and likely to backfire.In practice, the main thing tariffs do is make imports more expensive. That applies to imports that US consumers buy. But it also applies to imported parts and materials that US manufacturers use. So the price of US-made products will go up too.Generally, when a lot of things suddenly get more expensive, people and businesses cut back their spending. Economic activity drops: growth and investment slow down. The stock market selloffs starting the day after “Liberation Day” — and the rally when Trump announced a 90-day pause on many tariffs the following week — show that investors are very scared about the impact on businesses.The more sweeping and severe the tariffs, the more painful the economic damage will be. And it will be quite hard to conjure up a new US manufacturing boom if both investors and consumers are cutting back their spending due to recession fears.The flipside to that is that the weaker the tariffs are and the more temporary they appear to be, the less likely they are to achieve the Trump’s team’s ambitious aims of revitalizing US manufacturing and reducing dependence on China. It is quite difficult for the US to compete with poorer countries on manufacturing labor costs — exorbitantly high tariffs would be necessary to change this basic math. (That’s not even getting into the problem of who is going to take all these American manufacturing jobs.)Furthermore, every time Trump blinks — with his 90-day pause, and with this weekend’s exemption of electronics from his incredibly high China tariffs — he feeds investors’ hopes that many of his tariffs are simply negotiating ploys and unlikely to be permanent. And if they’re not permanent, businesses won’t make permanent changes to their business models.There are many other problems. If the US was all along hoping to build a global trade coalition against China, as Bessent claims, it is quite odd that Trump spent the first few months of his term making belligerent attacks on Canada, Mexico, and the European Union. If the goal is to reshore advanced manufacturing to the US, it seems odd that we’ve slapped tariffs on heavily imported foods like coffee and avocados, or on Canadian building materials like steel and lumber, or that Trump advisers are talking about reshoring clothing and shoe manufacturing.Just about the only thing that’s been going according to Trump advisers’ plan is that the value of the US dollar has indeed dropped. But it’s not dropping as the result of a new global agreement — it’s dropping because investors (accurately) view the US president as erratic and view the country as a less stable place for investment.Terrifying investors and wrecking business confidence can indeed have a major impact on the global economy — just not in the way the Trump team wanted.See More:

Nintendo Switch 2 is packed with NVIDIA tech, but one thing we didn't know was that the system will feature Auto Low Latency Mode (or Game Mode) – here's all we've learnedTech13:30, 15 Apr 2025Switch 2 is just a couple of months away(Image: AFP via Getty Images)We've played the Switch 2 after Nintendo invited us to a hands-on event with the console last week, and it's looking very promising indeed.From a multitude of launch games, those intriguing mouse control options and more, there's an awful lot we learned about the console – but it seems Nintendo has been keeping its cards close to its chest.‌Article continues belowWe know that the console is leaning on some NVIDIA tech (potentially including DLSS), notably including G-Sync to allow for games like Metroid Prime 4 and Mario Kart Tour to run at frame rates of 120 FPS.And, as it turns out, there's one feature Nintendo hasn't told us about just yet.Powerslides will be even smoother(Image: Nintendo)‌Tweaktown spotted the following wording on the Switch 2 website:"Connecting to a TV is easy - Compatible TVs can automatically turn themselves on when they detect the Nintendo Switch 2 system powering on while docked."The system supports Consumer Electronics Control (CEC), where the TV automatically detects and changes to the correct input. And with Auto Low Latency Mode (ALLM), you can even have your compatible TV automatically change to its game-mode setting."‌The key point here is that confirmation of ALLM, which essentially ensures your connected TV will be switched to its 'Game Mode' settings when you power up the Switch 2.The advantage is that this doesn't require digging through menus, and is ideal for anything that benefits from lower lag, and is essentially part of the HDMI 2.1 standard.So, what's the big deal? Well, the original Switch didn't have Auto Low Latency Mode, so Nintendo packing it into the Switch 2 should mean a much more fluid experience and frame rate even for more casual gamers.‌It's also something PS5 and Xbox Series consoles have had since 2020 and shows Nintendo looking to close the technological gap.It's just another feature in the Switch 2's arsenal that could be beneficial with just about any TV, whether it supports variable refresh rate (VRR) or not.For more on Nintendo Switch 2, be sure to check out what the console was almost called, as well as the one surprising game we hope gets a second chance at success on the platform.Article continues belowFor the latest breaking news and stories from across the globe from the Daily Star, sign up for our newsletters.‌‌‌

All that’s left is for Microsoft to admit it (Bethesda) After months of rumours, tangible evidence of a remaster of The Elder Scrolls 4: Oblivion has surfaced online. There have been rumours of The Elder Scrolls 4: Oblivion getting the remaster or remake treatment as far back as 2023, but they’ve grown much louder over the past few months. Although no mention of it was made at the Xbox showcase in January, it’s been claimed an Oblivion remaster is on track to launch this year and potentially as early as this month. More recent rumblings have suggested a shadow drop launch at some point in the coming weeks and those rumblings seem to be corroborated by some pretty blatant evidence of the remaster’s existence: screenshots. The screenshots come directly from the official website of Virtuos, the Singaporean developer that was rumoured to be helming development of the remaster. If you check the website now, the screenshots are no longer there, but this is the internet, so of course people were quick to save them elsewhere. You can easily find them on Imgur and other social media sites. This project boasts a clear graphical upgrade over the original, but despite this overhaul, an official logo reveals it’s being titled as The Elder Scrolls 4: Oblivion Remastered – rather than a remake. A previous leak claimed that changes have been made to certain gameplay mechanics and systems, which pointed to it being a remake. But the line between remaster and remake has long since become blurred, with even many publishers using the terms incorrectly. Other details that people noticed before Virtuos nuked their website are that the remaster is being co-developed alongside Bethesda and that it will be a multiplatform launch for Xbox Series X/S, PlayStation 5, and PC (there’s no mention of the Nintendo Switch 2 though). More Trending Although a release date wasn’t mentioned anywhere, a deluxe edition is being planned and will include extra weapons, as well as the infamous horse armour that was sold as DLC for the original game in 2006 and is considered to be the start of the industry’s obsession with microtransactions. As for when fans can expect the game to launch, only yesterday Giant Bomb’s Jeff Grubb claimed to have heard that the plan is for the Oblivion remaster to shadow drop the week of April 21, which is next week. Why the remaster is being treated with such secrecy, or why Bethesda thinks it would benefit from a shadow drop, is unclear. The original Oblivion is still fondly remembered and Microsoft could have easily drummed up a lot of hype ahead of time. They also missed the obvious opportunity of announcing it on the game’s 19th anniversary, on March 20. What’s not so strange is that Microsoft is remastering Oblivion in the first place. The Elder Scrolls 6 is still years away from coming out and Bethesda can only re-release The Elder Scrolls 5: Skyrim so many times. Time really is a flat circle (Bethesda) Email gamecentral@metro.co.uk, leave a comment below, follow us on Twitter, and sign-up to our newsletter. To submit Inbox letters and Reader’s Features more easily, without the need to send an email, just use our Submit Stuff page here. For more stories like this, check our Gaming page. GameCentral Sign up for exclusive analysis, latest releases, and bonus community content. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Your information will be used in line with our Privacy Policy

By Kyle Barr Published April 15, 2025 | Comments (0) | Nvidia's RTX 5060 Ti will come from multiple brands, including Asus, PNY, Sapphire, and more © Nvidia Finally, after a supposed delay, Nvidia is ready to unveil the graphics cards the rest of us can afford, or at least we could if Trump tariffs don’t make them untenable. On Tuesday, Nvidia showed off the $300 GeForce RTX 5060 and $430 5060 Ti. They are supposed to offer many times the performance of the 4060, though they’re even more reliant fancy AI tricks like DLSS and “fake frames.” But their launch comes as a tricky tariff time which means those prices are “subject to change,” and you can thank Trump for the uncertainty. The RTX 5060 Ti is the real star of the show. The titanium-edition desktop-level graphics card has two versions, one at $380 with 8 GB of GDDR7 VRAM and another at 16 GB. What’s the difference? The one with more memory, or RAM, is going to work much better for higher resolutions. When asked why Nvidia didn’t offer a 12 GB VRAM option, company reps said they couldn’t offer that option with the current memory bus.  The cheaper Nvidia GeForce RTX 5060 will launch sometime in May. In case you were wondering, no, there won’t be a Nvidia-made Founders’ Edition 5060 or 5060 Ti this time around. Also, these cards will either use one or two 8-pin power connectors, not the 12-pin used for all of the company’s other GPUs. So check your power supply cables before pulling the trigger. The 5060 Ti is working off a 2.57 GHz boost clock on a 128-bit memory bus. Nvidia did not provide clock speeds for the RTX 5060. The 5060 Ti will compete with Nvidia’s own RTX 5070 for best graphics card for 1440p. The 5060, on the other hand, will inevitably be relegated to 1080p resolutions though it may manage to hold its own in some less-demanding titles at 1440p. That’s mostly due to the limited VRAM which is necessary for processing higher-quality textures. Blackwell, Nvidia’s current GPU microarchitecture, is all about AI processing, as seen previously with the $550 RTX 5070, $750 RTX 5070 Ti, $1,000 RTX 5080, and $2,000 RTX 5090. The RTX 5060 can do 614 AI TOPS (trillions of operations per second, which is a derived value for determining AI performance) while the Ti will supposedly do 759 TOPS. The next step up with the 5070 is 988 AI TOPS. The 5060’s shader cores produce 19 TFLOPS (representing one trillion floating-point operations per second, a measure of how many calculations it can perform) while the 5060 Ti outputs 24 TFLOPS. The RTX 5070 hits 94 TFLOPS. All those TFLOPS and TOPS should be good for training AI models, but Nvidia also says it should make its game upscaling technology, DLSS 4, more capable too. One of the cool features of DLSS 4, and the Blackwell microarchitecture, is the ability to insert multiple AI-generated frames between rendered frames, effectively increasing in-game framerates. At CES earlier this year, Nvidia CEO Jensen Huang promised the RTX 5070 could churn out similar framerates to the RTX 4090, the last-gen flagship. It was a big promise, and one that didn’t pan out when reviewers actually got their hands on those cards. Now, Nvidia claims that with DLSS 4 enabled, the 5060 Ti is able to output many times more frames than a base 4060, even if its native rendering performance isn’t nearly as dramatic. A 4060 Ti (which launched for $500 MSRP) may do 87 simulated FPS in Hogwarts Legacy at max settings with 1440p resolution, but the 5060 Ti should do 171 simulated FPS. Unfortunately, didn’t offer offer any real insight into the native rendering performance of both cards, and users will have to wait for reviews to find out more. Nvidia claims you only need to have around 40 FPS natively in order for frame generation to kick in and emulate a much higher framerate, but for truly smooth performance without any hint of awkward visual artifacts, you really need closer to 60 FPS. The company is essentially claiming that DLSS will go hand-in-hand with the lower-cost GPUs to truly push their performance. That may only hold true if these graphics cards remain at their lower prices. Nvidia’s GeForce desktop GPU product manager, Justin Walker, told reporters that the 5060 prices didn’t include “any regional BAT or Tariffs.” He added, that the company has no plans to delay release, but “it is reasonable to say that pricing is subject to change because of tariffs.” Nvidia has an effective monopoly on high-end GPUs, and that lack of competition is a big reason the RTX 5090 sells for $2,000 MSRP (though with stock woes most cards costs much more than that). For lower-end graphics cards, the competition has never been more fierce. Last year, Intel debuted its Battlemage series of graphics processors that competed in the $200 to $300 range. Just a few months ago, AMD rocked Nvidia’s price scaling with the $550 Radeon RX 9070 and $600 9070 XT. The base RX 9070 was solid for most 1440p and some 4K scenarios, but the XT was in a class of its own, offering solid 4K performance for far less than the 5070 Ti. There’s a fair few cards hovering in the midrange market, but the 5060 Ti seems to be competing directly for 1440p stardom with the RX 9070 and RTX 5070. It’s one to watch, especially if GPU stock issues persist. With tariffs being such a clusterfuck, it’s nearly impossible to guess how much these graphics cards will go for in a few weeks’ time. Both versions launch April 16. So its time to make sure you have comfy shoes for the line at Microcenter. Daily Newsletter You May Also Like By AJ Dellinger Published April 12, 2025 By Thomas Maxwell Published April 9, 2025 By Thomas Maxwell Published April 4, 2025 By Thomas Maxwell Published March 28, 2025 By Kyle Barr Published March 20, 2025 By Sherri L Smith Published March 15, 2025

Kalle Neukoelln Department Store Revitalization / Max DudlerSave this picture!© Stefan Mueller•Berlin, Germany Architects: Max Dudler Area Area of this architecture project Area:  40 m² Year Completion year of this architecture project Year:  2024 Photographs Photographs:Stefan Mueller More SpecsLess Specs Save this picture! Text description provided by the architects. The "Kalle Neukölln" project revitalizes the former Quelle department store on Karl-Marx-Straße in Berlin. This large-scale building, including a 1970s parking garage, is a key Neukölln landmark. Berlin-based developer MREI is transforming the site into a creative hub, while Max Dudler is redesigning the façades. The concept follows the principle of "rethinking instead of demolishing," preserving the building's embodied energy. The result is a contemporary space for work, culture, and social interaction—serving as a model for the sustainable repurposing of retail properties.Save this picture!Save this picture!Covering 40,000 m², "Kalle Neukölln" integrates collaboration, culture, and enjoyment. The project includes 26,000 m² of office space, 4,000 m² of retail, 4,000 m² of rooftop gardens, and a 6,000 m² market hall with gastronomy and event spaces. This transformation signals the reinvention of Karl-Marx-Straße as a dynamic urban center. The diverse mix of uses benefits tenants, visitors, and the entire neighborhood. By activating spaces from the basement to the rooftop, the project serves as an inspiration for reimagining neglected urban sites.Save this picture!The façade design divides the complex into two distinct sections: The Karl-Marx-Straße side features a bright stone loggia, while the former parking garage on Ganghofer Straße is clad in bronze-colored metal. The site of the old spiral parking ramp is being repurposed as a "Winter Garden"—an event space that connects both buildings. The redesign ensures better integration into the surrounding architecture while making the transformation visibly striking.Save this picture!The original 1970 Quelle department store, designed by Hendel-Haseloff-Hotzel, was a brutalist megastructure. However, its utopian spirit was lost when it was converted into a SinnLeffers store in the 1990s, and the parking garage became increasingly obsolete. The original concrete structure, with spans of up to 24 meters, remains exposed, showcasing its monumental aesthetic. Retaining this structure significantly improves the project's CO₂ balance compared to a new wooden building, making it a sustainable model for urban renewal.Save this picture!Save this picture!The transformation of retail requires rethinking public spaces and reshaping urban centers. Many city department stores occupy crucial urban locations, yet there is often no clear strategy for their future. Successful redevelopment requires close collaboration with social and political stakeholders. The Berlin-based firm Realace developed the initial concept, which was refined in partnership with local authorities. Key aspects such as usage models, mobility, and cultural integration were carefully considered. While Max Dudler led the architectural transformation, Aukett + Heese managed the interior realization.Save this picture!"Kalle Neukölln" is also designed for extraordinary events. MREI has established strong ties with local groups, facilitating temporary uses such as the "48h Neukölln" art festival. The unique mix of tenants further reflects the project's distinctive appeal. The building is now home to the CODE University of Applied Sciences, SoundCloud, Rough Trade, the startup accelerator Delta, and flexible "Kiez" offices for freelancers and small businesses.Save this picture! Project gallerySee allShow less About this officeMax DudlerOffice••• Published on April 15, 2025Cite: "Kalle Neukoelln Department Store Revitalization / Max Dudler" 15 Apr 2025. ArchDaily. Accessed . <https://www.archdaily.com/1028480/kalle-neukoelln-department-store-revitalization-max-dudler&gt ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否 You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream

The polarizing side dish and topping might help protect intestinal cells. Deposit Photos Get the Popular Science daily newsletter💡 For some tastebuds, sauerkraut is the perfect compliment to a hot dog on a hot summer day. For others, it’s a sour stomach-churning mess. Whether you like to eat it or not, this tangy fermented cabbage might help protect the gut, support digestion, and potentially stave off illnesses. The findings are detailed in a study published April 7 in the journal Applied and Environmental Microbiology. Sauerkraut is a dish made of finely chopped cabbage and salt that has been allowed to ferment. According to The Ohio State University College of Food, Agricultural, and Environmental Sciences, the fermentation process generally takes three to six weeks depending on the air temperature. In that time, the lactic acid bacteria (the same microbes that make yogurt) grow in the high-salt environment. During fermentation, the lactic acid bacteria produces a variety of flavorful byproducts. The most important is lactic acid itself, which contributes to the tartness and preservation that sauerkraut lovers enjoy. [ Related: You should make fermented veggies—for science. ] In the study, a team of microbiologists from the University of California, Davis looked at what happens during the fermentation process. They primarily focused on how the sauerkraut’s metabolites–any substance that is produced during digestion or other metabolic processes–compare with those found in raw cabbage.  They tested whether the sauerkraut’s nutrients could help protect intestinal cells from inflammation-related damage. The team compared raw cabbage, sauerkraut, and the liquid brine left over from the fermentation process, using both store-bought sauerkraut and fermented cabbage cooked up in the lab.  The sauerkraut helped maintain the integrity of intestinal cells, which play critical roles in digestion. The raw cabbage did not maintain this cell integrity as well as the sauerkraut did and there was no noticeable difference between the store-bought sauerkraut and the one the team made in the lab. “Some of the metabolites we find in the sauerkraut are the same kind of metabolites we’re finding to be made by the gut microbiome, so that gives us a little more confidence that this connection we found between the metabolites in sauerkraut and good gut health makes sense,” study co-author and microbiologist Maria Marco said in a statement. “It doesn’t matter, in a way, if we make sauerkraut at home or we buy it from the store; both kinds of sauerkraut seemed to protect gut function.” Additionally, the chemical analysis revealed that fermentation changes the cabbage’s nutritional profile. It appears to increase the beneficial metabolites such as lactic acid, amino acids, and plant-based chemicals that are linked to gut health. These changes could explain why some fermented foods, including pickles and miso, are often associated with digestive benefits. The team identified hundreds of different metabolites that were produced during fermentation and are currently working to figure out which metabolites play the biggest role in supporting gut health in the long-term. “Along with eating more fiber and fresh fruits and vegetables, even if we have just a regular serving of sauerkraut, maybe putting these things more into our diet, we’ll find that can help us in the long run against inflammation, for example, and make our digestive tract more resilient when we have a disturbance,” Marco said. While fermented vegetables and foods are a staple in many diets, this new research suggests that they could be even more than just a side dish or topping. According to the team, the next step is to conduct human trials to see if the gut-protective metabolites they found in sauerkraut could have the same positive effects when they are included in everyday diets, the way that they did in the lab. “A little bit of sauerkraut could go a long way,” she said. “We should be thinking about including these fermented foods in our regular diets and not just as a side on our hot dogs.”   More deals, reviews, and buying guides The PopSci team has tested hundreds of products and spent thousands of hours trying to find the best gear and gadgets you can buy. SEE MORE GEAR