We already know how ads work on ChatGPT. If you don’t like them, go to checkout

He who warns is not a traitor. From December 2026 ChatGPT hidden code showed the imminent arrival of advertising. It’s something that has just become a reality. OpenAI recently published that it is already testing ads in the United States, something that will affect all users of the free version and some of the paid version. Announcements come to ChatGPT. USA firstbut no one will be free of them. The ads have officially arrived for the free version of ChatGPT and the Go plan. Taking into account that the cost of Go is 8 euros per month, the debate is revived as to whether a paid app is legal or not to have advertising load. Users of the Plus and Pro plans are saved from ads. At the moment, they are in the testing phase, hoping that they will reach the rest of the world in the coming months. Because. Because OpenAI needs moneyit’s that simple. The company’s accounts are not working out, and it stands out in its press release that in order for ChatGPT to continue improving and offering free features, it is necessary to start showing ads. If you want to use ChatGPT for free without any type of advertisement, it will be possible, in exchange for limiting the number of free daily messages. How ads influence responses. They don’t, according to OpenAI. The responses will continue to be oriented to the user’s demands and the training we have done on the model. Ads will always be labeled as sponsored content, and visually separated from the GPT response itself. If you’re wondering how the ads you’ll see will be selected, according to OpenAI they will match ads sent by companies to conversation topics. If you’re searching for a recipe, you may be shown food-related ads. About privacy. Advertisers will not have access to our chats, history or personal data. They will only receive information about the performance of their ads. Products from sensitive categories related to politics or health may also not be advertised. Likewise, from the app’s own settings, we can configure whether we want to personalize the ads (whether our history and chats are used to improve the suggestions or not). The party is over. Advertisements on ChatGPT were simply unavoidable. The key now is whether OpenAI, faced with Antrophic’s explicit refusal to introduce advertising in Claude and a Google that can afford not to depend on it, will be able to integrate ads without degrading the product or breaking the perception of neutrality. Image | OpenAI In Xataka | ChatGPT pretends to know everything even when it has no idea. Stanford University believes it has the solution

Russia has a tank so ugly it seemed like a joke. And the most surprising thing is that Ukrainian drones don’t know what to do

Since the first months of the invasion, the war in Ukraine has become in a laboratory military “tuning” in real time: armored civilian trucks with steel doors, cars with improvised cages against anti-tank missiles, artillery protected with logs or bars welded in haste. As in other long conflicts, when technology does not arrive or is not sufficient, armies resort to bungle creative. From this ecosystem of ugly, urgent and desperate solutions is born the story of the strangest tank of this war… and also one of the most disconcerting for its enemies. Strange but armored. It we have counted other times. On the Ukrainian battlefield, Russia has led improvisation to an extreme almost cartoonish, deploying tanks covered in cagesspikes, cables, rods and metal layers that have earned them nicknames such as “turtle”, “hedgehog”, “furry” or, now, “dandelion”. At first glance they seem like a joke or a symptom of industrial decay, grotesque artifacts closer to scrap than to modern military engineering, but their proliferation responds to a brutal reality: Ukraine’s FPV drones have made classic armor insufficient, forcing Russia to add outer layers whose sole objective is to gain centimeters, time and confusion against attacks that were previously lethal. Origin and evolution. These protective screens, popularly known like “cope cages”began to be seen months ago, when the proliferation of drones transformed land warfare. Initially they were installed only on battle tanks and armored vehicles, but soon they spread to a wide range of systems. Your designs vary greatly: Some structures are crude and heavy, others are better planned, incorporating metal cages, steel plates, chains, spikes, camouflage nets and even reactive armor to reinforce the most vulnerable areas. In the Russian case, some tanks have become completely coveredwhich has earned them the nickname “turtle tanks” due to its resemblance to the shell of these animals. The simple principle that unsettles drones. The logic behind these designs is so rudimentary as effective– If the drone explodes before hitting the main hull, the shock wave loses much of its destructive power. In that sense, the “latest” model, the “dandelion tank”, with branched metal rods and tensioned meshes, works as a three-dimensional barrier that detonates the FPV from a distance, while there are already versions with cables, chains or spikes that seek the same effect from different angles. There has even appeared a sort of brush cutter tank Russian. Every extra centimeter between the explosive charge and the armor increases the chances of survival, and in a front saturated with cheap drones, that minimal advantage can make the difference between a disabled vehicle and one that continues fighting. In fact, this Russian anti-FPV system has migrated to its UGVs. In a video Seen on networks, the Russians claim that this “Courier” UGV survived the attack by a Ukrainian FPV and was recovered, although remembering that the additional weight of the cables will reduce the capacity vehicle loading. From the initial mockery to the silent cup. Yes, because what began as an object of ridicule among Ukrainian soldiers laughing at the welded cages and absurd profiles, has ended in imitation. The Ukrainian forces themselves have begun to equip some of their vehicles with similar protections, and the concept has even spread to NATO armies, with Western French vehicles. testing solutions inspired by these “dandelions”. The implicit message is, above all, uncomfortable: it may be ugly, crude and inelegant, but in real war is working better that many sophisticated solutions that have not yet come to the forefront. Hidden costs and obvious limits. There is no doubt, like so many other extravagant designs in the Ukrainian war, these improvised capes are not a panacea. They add weight, raise the profile of the vehicle, reduce mobility and they offer no real protection facing precise artillery or attacks from below, a tactic increasingly exploited by Ukrainian drones. Furthermore, and here the modus operandi of war, the more time passes, the more operators learn of FPV to identify gaps, adapt trajectories or use new techniques to avoid these metal shields. They are temporary defenses, effective but doomed to lose ground as the adversary figures out how to break them. An absurd race that defines modern warfare. Still, the central fact remains: Russia has created tanks so strange that they seemed like a jokeand for a time they have achieved something unthinkable, leaving enemy drones without a clear answer. In a war of attrition, cheap and experimental, where every day they look for emergency solutionsthese grotesque layers symbolize the current conflict better than any doctrine: a constant race of trial and error, in which even the most absurd can become, even for a moment, the best defense available. Image | Telegram In Xataka | The cold is so savage that Ukraine has activated the most kamikaze option: the “50,000 Russians per month” or giving Moscow what it wants In Xataka | “A human safari”: going outside in a Ukrainian city is now equivalent to being a shooting target for drones

They don’t have the AI ​​but they already have the energy

In the AI ​​race, The United States has the chips and China has the energytwo different starting points that make them follow divergent trajectories. But both chips and energy are essential for the technology industry from a broader point of view. Guaranteeing supply is the first step to dominating emerging industries and China has taken it very seriously by stepping on the accelerator in the construction of energy infrastructure. The figures. According to data from the China National Energy Administration of which echoes BloombergIn 2025 alone, the Asian giant added 542.7 GW of capacity to what it already had to reach a total capacity of 3,890 GW. As collects China Newsthis is 16.1% more in just one year. In perspective. The cold data may not give an idea of ​​the magnitude of the Chinese attack, but those 542.7 GW added in the last year is more than the total capacity of powers such as India, Germany or Japan, according to data from the International Energy Agency. Only the United States and its 1,373 GW available on the electrical grid surpass it. However, if we extend the time frame four years ago, we find that in that period China expanded its capacity by 1,515.3 GW, more than everything the United States has today. Among China’s objectives With this ambitious commitment to energy, we are guaranteeing a stable and abundant supply, minimizing dependence on fuel imports and making it a competitive advantage in growth and intensive industries such as AI, robotics or advanced materials technology. Why is it important. From an engineering point of view, what China is doing in recent years is a feat: it has replicated the West’s largest power grid at lightning speed. What took the United States approximately a century, China has only required less than half a decade. But building electrical infrastructure (What happens with Data Centers?) is neither easy nor immediate: it requires planning, logistics and a highly qualified workforce. Not to mention permits or environmental evaluations. This level of manufacturing and installation involves overcoming a learning curve that reduces technology costs for global implementation. How has he done it. Achieving that capacity in record time is difficult, but it is not only how much but how: a good part of this growth comes from solar and wind energy. This type of energy, unlike fossil fuels, is intermittent. That is, it is not limiting itself to installing panels and wind turbines, but it is also redesigning the management of the network in the event of eventual events such as no sun or wind. However, coal and gas thermal power plants are also in record numbers. China has not forgotten nuclear and hydroelectric energy either, with more modest increases. What the graph doesn’t say. That China’s current capacity is immense does not mean that, for example, solar or wind plants are producing 24/7: their plant factor It is lower than those of gas or coal plants. Hence they need to build much more to achieve the same. And to move all that energy from one side of the country to the other, for example from the sunny Gobi Desert to industrial Shanghai, China has set up a kind of energy highway: the High Voltage Direct Current network, with the largest ultra-high voltage transformer in the world. You have another challenge ahead: where to store the excess energy. For now, is investing big time in lithium batteries and also in hydraulic pumping. In Xataka | The race for AI has placed China in an unthinkable scenario: forcing the United States to leave its comfort zone In Xataka | China needs chips and the United States needs energy: in the AI ​​race the two great powers have divergent paths Cover | Raisa Milova and Dominic Kurniawan Suryaputra

Microsoft has finally realized what the community has been shouting at it for months: we don’t want so much AI

The people are fed up with the avalanche of AI that has flooded Windows and Microsoft turned a deaf ear to the numerous community complaints. They have put AI even in Notepadwhich is saying something. Microsoft’s obsession has caused the Windows image to sufferbut finally it seems that they are listening to the users. We are still passing. One of the things Microsoft has been doing in its pro-AI crusade is add Copilot buttons everywhere. It’s in Paint, in Notepad and even they want to put it in file explorer. Although Microsoft has not commented, according to Windows Central fontsthe company is rethinking its AI strategy and one of the things that is under review are these buttons that they have been adding almost indiscriminately. Maybe they end up eliminating some or just being more selective from now on. Windows Recall. “It’s like having a photographic memory.” This is how Microsoft sold what aimed to be the PC+Copilot star feature. What followed were many doubts about your safety and so many criticisms that Microsoft had to delay the project for more than a year. Recall is already implemented, but according to Windows Central the company is not satisfied with how it is working and wants to correct course. How they will do it at the moment is unknown. There will still be AI. Microsoft still has a lot of AI features in the works and nothing indicates that they will stop, so if you were rubbing your hands at the idea of ​​a Windows 11 without AI, that is not the case. Some of the initiatives they have underway are: agentic functions which they announced in November of last year (to which The community flatly refused.by the way) and developer features like Windows ML or semantic search. The complaints have been heard. There will probably still be more AI features than the community would like, but it seems that Microsoft has heard the feedback and they are going to take their foot off the accelerator. The obsession with AI has not been the only reason for discontent, there have also been highly criticized decisions such as force to use an online account to upgrade to Windows 11 or the stability problems after updating. Despite everything, Windows 11 is advancing unstoppably and It is already on more than 1 billion devices. Image | Microsoft, edited In Xataka | I have decided to become independent from all US technology and embrace European technology. This is how I’m getting it

This tool blocks all AI features and other elements you don’t want from your browser: and it does it without installations

Installing a browser is very simple, and companies have taken charge to keep it that way. The really complicated thing is to use it without all the extras that we don’t want and that hinder us when browsing the Internet, which is precisely its original purpose. With that seemingly crazy idea of ​​using a browser only for browsing, a developer has launched “Just the Browser”, a tool that allows you to disable artificial intelligence functions, sponsored content, telemetry and other features that many of us hate in the main browsers. I’ll tell you how it works, because you might be interested. Browsers increasingly saturated with functions The creator of this initiative is Corbin Davenport, software developer and technology writer. Davenport starts from a simple premise: modern browsers have moved away from their basic function to become feature-packed platforms that many users consider distractions. And if you don’t want AI in your browser, it’s becoming increasingly difficult, since both Chrome, Edge and even Firefox They point towards a future full of AI generative, whether you like it or not. Luckily we have measures to solve thisand “Just the Browser” is one of them. The key to Just the Browser: enterprise group policies What’s ingenious about Just the Browser is its approach. And instead of creating a fork of another popular browser (as projects like LibreWolf, Waterfox or Pale Moon do), it uses the group policy settings that Google, Mozilla and Microsoft provide for companies and organizations. These corporate policies allow IT departments to block certain functions on work or school computers. Davenport has taken advantage of this functionality to make it available to individual users who want a cleaner browser. The process does not modify executable files or require additional extensions. It simply applies settings that browsers themselves are designed to honor permanently, something that doesn’t always happen with the settings that companies provide to home users. In Xataka Opera Neon promises to be the future of the browser. It is an ambitious vision yet to mature What exactly does it remove? Just the Browser disables several elements of your browser: Most generative AI features, both cloud and on-premises, with the exception of page translation in Firefox. Shopping integrations: price tracking, coupon codes, loan offers. Sponsored or Third Party Content: Suggested articles on new tab pages, suggested promoted sites. Reminders to set the browser as default. Experiences when launching the browser for the first time and automatic data import. Telemetry and data collection (maintaining crash reporting when the browser allows it as a separate option). Autostart functions with the operating system. According to Davenport, these settings are limited in scope because each user has their own definition of what they consider bloatware. The project does not aim for extreme minimalism or install additional privacy extensions. Simple installation using scripts The tool is available for Windows, macOS and Linux. Your official website offers automated installation scripts that work by running a single command in the system terminal. Users can also download the configuration files directly from their GitHub page to apply them manually. Active policies can be checked at any time by accessing ‘about:policies’ in Firefox or ‘chrome://policy’ in Chromium-based browsers. You may see a “Your browser is being managed by your organization” message, a common browser warning when group policies are applied, but nothing to raise suspicions. The project is completely open source and Davenport hopes the community will help keep configurations up to date as browsers evolve. {“videoId”:”x883ph8″,”autoplay”:true,”title”:”From CHROME to VIVALDI: the 7 BEST BROWSERS to CHOOSE”, “tag”:”webedia-prod”, “duration”:”475″} Limitations At the moment, the tool only works on desktop computers. There is no support for mobile devices, although there are already users who have published requests on the GitHub page to add compatibility on Android and iOS systems. Keep in mind that the effectiveness of Just the Browser depends on browsers continuing to respect these group policies. If Google, Mozilla, or Microsoft decide to remove or modify these business controls, the settings may stop working. However, since these policies are designed for corporate clients, they are unlikely to be removed without notice. Cover image | Denny Muller In Xataka |ChatGPT Atlas: what it is, how it works and how to use this internet browser with artificial intelligence (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news This tool blocks all AI features and other elements you don’t want from your browser: and it does it without installations was originally published in Xataka by Antonio Vallejo .

Vibe coding wants to help Open Source. But developers don’t want AI botches

If you like Open Source software, vibe coding now gives you a fantastic opportunity: to take that code and modify it to your liking with the help of vibe coding and the AI ​​agents that program. Let them tell it to me. You may have good ideas and the AI ​​will solve them with new code generated with these tools, but there is a problem: the quality of that code may not be adequate. what has happened. Steve Ruiz (@steveruizok) is the creator and responsible for TLDrawa nice Open Source application that allows you to turn your browser into a canvas so you can easily draw whatever you want on it. On January 15, Steve posted a message on X in which he announced something very striking: he would stop accepting code contributions (pull requests, PRs) in the TLDraw GitHub repository. We don’t need low quality code. “Due to the influx of pull requests of low quality, we will soon close those requests to external contributors,” said the person responsible for a project in an additional post on the official blog of the project. The message was clear: although people’s intentions are surely good when trying to contribute their ideas to an existing project, this developer soon realized that the code contributed by new programmers, fans of vibe coding, was of low quality. Solution? Ban those contributions made with AI. AI-generated code can serve. In that article I indicated that this was not a measure against vibe coding, but against code (any code, human or AI) of poor quality. Ruiz explained how: “We already accept code written with AI. I write code with AI tools. I hope my team uses those AI tools too. If you know the project’s code base and know what you’re doing, writing great code has never been easier thanks to these tools.” AI Slop, but from code. Although we often talk about “slop created by AI“(AI Slop) in reference to low-quality text, images, music and videos, the term can also be applied to code. Ruiz explained how in September he began to detect many requests for code contributions that seemed correct but that after a deeper analysis, although they worked, could potentially introduce future problems and complexity to the project. I correct here, I correct there. In addition, many of the contributors had profiles in which they could be seen jumping from Open Source project to Open Source project and then disappearing. They simply contributed without following the policies or requirements of the project and moved on to another. This is a plague. In the debates that this decision generated in Hacker News and x Ruiz found himself with a surprise: people not only did not protest, but they valued the measure positively. He commented how “this seems to be the standard experience for all public repository maintainers right now.” He cited the example of Excalidrawanother similar project that “received more than twice as many PRs in the fourth quarter of 2025 than in the third” in your repository. More and more vetoes of low-quality AI code. Other projects are going through that same phase. ghosttya terminal emulator for macOS and Linux, recently published their “AI policy” in the site’s public GitHub repository with important notices. For example, that “PRs created by AI must have been fully verified with human use”, and further that “all use of AI in any way, shape or form must be disclosed.” That’s cheating. Curl, a very popular utility for command line users, had announced the opening of a bounty program to detect bugs and vulnerabilities in its code. What have many people done? Use AI to find them and take the money. Those responsible for the program have announced that They will close it this month in the face of the avalanche of low-quality vulnerability reports clearly generated by AI. Linus already said it. Linus Torvalds, creator of the Linux kernel, admitted to using vibe coding tools for some small personal project. While recognizing that these tools can be great, he warned of the danger of all that AI-generated code: “AI will be a tool, and it will make people more productive. I think vibe coding is great for getting people to start programming. I think (the code it generates) is going to be horrible to maintain… so I don’t think programmers will go away. You’ll still want to have people who know how to maintain the output.” AI code works, but it is not usually “quality”. The developer community has been warning and experiencing this for some time. Although AI tools can help program and solve many routine tasks, the generated code must be reviewed by a human programmer to avoid future problems. It is reasonable to think that this code will be increasingly better and of higher quality, but today in many cases the situation is clear: it may work, yes, but that is not enough for many projects in production, especially when they are used by thousands (let alone millions) of people. In Xataka | Bill Gates and Linus Torvalds had been rivals for 30 years. The funny thing is that they just met and took a selfie

AI saves you eight hours of work a week. As long as you’re the boss and you don’t have to use it yourself

The AI ​​that was going to change everything and revolutionize our work He doesn’t seem to be doing any of that at the moment. What there is is a great polarization between those who believe in that promise and between those They do not see it at all clearly or they fear it. And if there is a place where this love-hate for AI is palpable, it is in companies, where CEOs see things in one way and employees in a quite different way. what has happened. The consulting company Section has conducted a survey of 5,000 workers and managers in US companies with a fundamental question: How many hours of work per week is AI saving you? Survey results, displayed in The Wall Street Journalsay a lot about the vision of CEOs and employees about the impact of AI tools. Source: WSJ. CEOs love her, employees not too much. According to data from that survey, two out of three employees indicated that AI does not save them time at work or that at most it saves them less than two hours a week. These responses contrast with those of managers and CEOs: one third affirm that it saves them between 4 and 8 hours, another third affirms that it saves them 8 or more hours, and the other third affirms that it saves them 4 hours or less. The big difference is precisely in this negative view: 40% of employees say that they do not save any time, and only 2% of CEOs agree with that opinion. AI screws up more than anything else, some say. A user interface designer named Steve McGarvey indicated in that text how managers “automatically assume that AI is going to be the savior (of the business).” His experience is different, however, and he tells how “I have lost count of the times I have looked for a solution to a problem, asked an LLM, and they gave me a solution to an accessibility problem that was completely wrong.” And it’s not that big of a deal. This professional also indicates that he uses Perplexity as an assistant to research on various projects and that it has saved him time. However, part of their job is to ensure that visually impaired users can access websites, and chatbots have not been of help in that task. The employees are somewhat afraid. There’s another important aspect to the findings: Employees were much more likely to report feeling anxious or overwhelmed by AI than excited by it. That 40% who responded that it did not save them time added that because of them they would never use AI again. Employees are the ones who are most overwhelmed by AI, managers are the ones who are most excited about it. Source: WSJ. For now AI is used like Google. But there is another problem and that is that many of these professionals are using AI as an alternative to the traditional search engine from Google. They do not use it for practical applications of their work—perhaps because they do not know how—and, for example, it was used much less for topics such as code generation or data analysis. It saves me time, but like it doesn’t. Software companies like Workday participated in the survey and pointed out an interesting fact: this technology imposes an “AI tax” in terms of productivity. Although 85% of its 1,600 employees surveyed indicated that they save between one and seven hours a week thanks to AI, that doesn’t help them much: Much of that saved time ends up being used to correct errors made by AI or modify content generated by AI. AI isn’t much use (yet). An additional and also recent survey conducted by PricewaterhouseCoopers focused on 4,500 CEOs. The result: only 30% of them were confident that there would be an increase in revenue thanks to AI, although they admit that having a good AI foundation can help boost that return on investment. The adoption of AI, however, at the moment is not compensating them too much, and only 12% of companies claim to have obtained benefits in revenue or costs, while 56% claim to have “not obtained anything” with that investment. These data are in line with those of the MIT study of August 2025 according to which 95% of pilot projects with generative AI were not paying off to companies. But. The data is negative, but there may be factors that point to a change in trend. The surveys do not indicate how much time users are spending learning how to use AI versus the time it saves them. The benefit may be negative now, but in the long term it will be positive. Furthermore, there are sectors in which AI has clearly become a clear tool to assist workers, as in the field of programming. Although there is, of course, a necessary phase of code review that AI generates, the massive use of these tools indicates that productivity may have gained in whole. Image | Redd F In Xataka | “We will lose social permission”: the CEO of Microsoft knows that either they do something valuable with AI or it will have little progress

Micron has emulated TSMC and is spending $1.8 billion on a RAM factory. Don’t clap yet

Taiwan is becoming one of the technological hotspots worldwide. If the country was already at the center of the technology sector because it is the home of TSMCwill now take on more prominence in the new era of AI. Your crown jewel is investing an astronomical sum in the United States and, now, the American Micron ends to close a $1.8 billion deal in Taiwan. And you can guess the goal. Keep feeding the data centers based on RAM memory. Micron. In recent weeks, Micron has been one of the big names in the technology sector. However, Crucial may sound more familiar to you. It is, or was, Micron’s brand for consumer RAM, but also for storage. Their products are very well regarded when it comes to assembling a PC in parts, but They turned off the tap at the end of last year and the last shipments will occur in February 2026. Now, Micron is shifting its focus to something much bigger and more lucrative: artificial intelligence. Specifically, supplying those same components, but to large companies that are setting up gigantic data centers. In the end, a data center It is made up of hundreds of “computers” that need both storage and RAM. The operation. Given the context, we come to the news. As the company itself has confirmedhave just signed an operation worth $1.8 billion to take over the P5 factory of the Powerchip Semiconductor Manufacturing Corporation -PSMC- company in Tongluo, Taiwan. An operation like this must pass several filters, but the company’s intention is for the transaction to be closed by the second quarter of this same 2026. They have stepped on the accelerator, and as soon as they can, they will begin to do one thing: increase the production of DRAM memory. clean room. Micron has confirmed that it is just one of the operations it is contemplating in a global expansion movement “to meet the long-term demand of its customers,” and acquiring a semiconductor factory makes perfect sense. Beyond the fact that the components and machines are different, there is something that factories of this type share: clean rooms. It is an extremely… well, clean facility stripped of any external elements. Suspended particles are kept at extraordinarily low levels, temperature, humidity and pressure are highly controlled parameters and the air is filtered numerous times per hour. Static electricity is reduced as much as possible and, ultimately, it is a clinical space so that no impurities interfere with something as sensitive as the manufacturing of semiconductors. It is, in short, like an operating room (or stricter if possible). Example of a clean room “All in one hour“Creating something like this requires a considerable investment (which is why new companies are entering to compete in the RAM segment, as rumored with Asusit is tremendously complicated), and that is why Micron has taken over existing facilities that they will only have to adapt to their activity. Besides, take the example of TSMC. In Taiwan, all components TSMC needs are “an hour” away. This allows the assembly line to be efficient, minimizing time, maximizing production and saving money. The new Micron factory will be very close to the one they already have in Taichung, being able to emulate that way of working that has led TSMC to excellence. Consumption RAM for when. Micron is expected to begin optimizing the manufacturing process in the new plant by the second half of 2027, but thanks to the context we gave before, we know that these “customers” are not those who want to assemble a PC in parts or even assemblers such as Asus, MSI, Lenovo or Gigabyte: they are the ‘Big Tech’ that are setting up data centers. In a recent interview, Christopher Moore, vice president of marketing for Micron’s client and mobile business, said the problem and the RAM bottleneck is elsewherebut also stated that this growth in data centers has gone from representing 30% of its market to 60%. He also stated that, although Crucial has disappeared, Micron will continue to supply memory to OEM manufacturers, but it is evident that the bottleneck is affecting, that prices are through the roof and that things are not looking good if you had to renew PC.E And, according to Micron’s vice president, it will continue until 2028. At least. Images | Maxence Pira, Hunter Trick In Xataka | Google doesn’t have rockets, but it is going to install data centers in space. SpaceX and Blue Origin rub their hands

now they don’t even move

For decades, the tank was the indisputable symbol of modern land warfare, a centerpiece in doctrines designed to break fronts and decide campaigns in a matter of hours. However, the massive drone outbreak cheap sensors and precision ammunition has gone eroding that role to turning today’s battlefield into an environment where moving or even shooting involves unprecedented risks, forcing major military powers to rethink how (and if) heavy armor can remain relevant. Russia is clear. Drones and stagnation. Despite the diplomatic contacts and rhetoric about a possible negotiated solution, Russia has maintained an offensive sustained to seize key territory from Ukraine, although yes, from a position of clear operational friction. Over the past year, Russian attacks have come in waves dismounted infantrysupported irregularly by motorcycleslight vehicles and even horsesan image that reflects the extent to which heavy armor has been sidelined by the constant threat of FPV drones and Ukrainian bombers. we have been counting: the attempts to return the tanks to the front using nets, improvised cages and other protections have produced limited results. Without effective armored support, assaults progress more slowly, become more exposed to defensive fire, and rack up high casualties with modest territorial gains, pushing Moscow to seek a tactical solution that allows the reintroduction of the armored weapon without repeating recent failures. The last tactic. And here appears the latest russian responsewhich involves a more fragmented and dynamic use of armor, articulated in pairs of tanks continuously supported by drones. In this scheme, the tanks act from a more rearward position, completely stopped and providing fire, while the drones execute a move towards the line of contactresponsible for detecting targets, correcting shots and offering a situational idea in real time. The roles are then alternated to prevent any tank from remaining static long enough to become a predictable target. The objective: to desynchronize enemy sensors and attack systems, generate brief windows of local superiority and force rapid penetrations before the Ukrainian defense can fully react, partly replacing traditional paper of the artillery for a binomial direct fire and persistent aerial surveillance. The breakdown of Soviet doctrine. This approach contrasts sharply with the doctrine inherited from the Soviet era, based on large concentrations of tanks and artillery advancing after massive bombardments to crush weakened defenses. On the current battlefield, dominated by reconnaissance dronesthese types of movements are detected quickly and punished with precision. Furthermore, in urban or semi-urban environments, bottlenecks abound, where the destruction of a single vehicle can block an entire column and turn the rest of the tanks into easy targets, as observed in failed attacks near Pokrovsk at the beginning of 2025. The new tactic recognizes that reality and tries to adapt, but it also highlights the extent to which the drone has gone from being a prop to becoming in the central axis of modern combat. Sensors, communications and logistics. Despite its innovative nature, the new method does not solve structural problems that continue to burden Russian forces. Even dispersed and moving, the tanks remain vulnerable to drones operated from outside their direct fire range, and each shot reveals their position by increasingly easy-to-detect acoustic and visual signals with advanced sensors. The tactic also depends on reliable communication links between tanks, drones and infantry, a weak point compared to Ukrainian capabilities. electronic warfarecapable of degrading or interrupting those connections and increasing the risk of isolation. Added to this is the already fragile logistics, since tanks consume large amounts of fuel and resupply vehicles are priority objectives for Ukrainian drones, making it difficult to sustain armored operations under constant surveillance. Immediate impact and adaptation. In the short term, this controlled reintroduction The armor can provide Russia with the necessary firepower to support limited advances in critical sectors of the almost thousand kilometer front, where it tries to pressure strategic nodes such as Pokrovsk, Kostiantynivka, Chasiv Yar or Toretsk. The infantry assaults have achieved punctual penetrationsbut they usually lack the muscle necessary to consolidate them, and tanks could partially cover that deficit. However, conflict experience suggests that Ukraine will react quicklyfitting their drones with better sensors and prioritizing not only the destruction of tanks, but also their supply lines, in addition to reinforcing obstacles, mines and barriers on foreseeable routes of advance. Thus the probable result is a ephemeral tactical advantage which is unlikely to translate into a lasting change in balance. A scenario that redraws a duality that has been repeated before: that of the Russian capacity for adaptation in a battlefield dominated by drones, and the limits of that adaptation in the face of vulnerabilities that remain unresolved. Image | Ministry of Defense of the Russian Federation, RawPixel In Xataka | “Robots don’t bleed”: the Ukrainian drone that stopped Russia for six weeks with a machine gun and not a single human soldier In Xataka | Russia has reminded the planet that the war in Ukraine is a ticking bomb. And for this he has pressed a nuclear button: Oreshnik

ChatGPT is already our first line doctor (although we don’t want to admit it)

ChatGPT has become one of the biggest attention grabbers in historyand now ChatGPT Health is going to take that further. Not competing with the GP, but yes occupying that space that we have filled with nightly Google searcheswith visits to forums where a stranger tells you that that mole does not have to worry you, or with the brother-in-law who knows a little about those topics. We’ve been delegating our fears to slightly ridiculous spaces for years, and now OpenAI is going to offer one that’s a little less ridiculous. The interesting thing is not that AI knows medicine. The LLMs They have been passing clinical exams for years and have resolved, better or worse, several doubts. The interesting thing is that we trust it more than real institutions or people. Two hundred and thirty million people asking ChatGPT about their health every week is a fact that says a lot about our psychology. We’d rather ask a chatbot than wait three weeks for an appointment or bother a friend at eleven at night. Everything before admitting out loud that that pain scares us. ChatGPT Health presents itself as a kind of “pocket doctor”, but it functions as a confessor. Because “should I worry about this?” It is never just a medical question. It’s existential. And the app never judges you, never gets tired, never makes you feel like you’re overreacting. He responds instantly, in a reassuring tone, citing studies that you will never read but that make you feel informed. Deep down, we know he can skate and invent things, but that doesn’t matter as much to us as gaining peace of mind for a while.and that feeling does manage to convey it. Even though There have been shady cases that have ended badly. OpenAI says this is not a replacement for the doctor. Of course not. But functionally it is already doing it. Not in a serious diagnosis, which is where we still go to the hospital, but in who decides when something is worth worrying about. Who immediately interprets those blood test numbers, or who tells us if we should change our diet or exercise routine. In the daily practice of managing a body, the doctor has become the second option, ChatGPT is now the first line. It may be uncomfortable, it may displease, but it is what is already happening. That is, in fact, the awkward twist: ChatGPT’s competition is not so much with doctors as with the emotional support network we used to have. We asked our mother, our partner, our friend who studied nursing. Now directly to ChatGPT. And with Health, this will go even further. Because it’s immediate, it’s fast, it doesn’t make you feel vulnerable and you can delete the conversation if the response starts to scare you. ChatGPT Health is the consolidation of the symptom of structural loneliness that we have not even consciously chosen. It’s just that annoying someone has become emotionally costly, while asking a machine that simulates empathy (sometimes Claude calls me ‘brother’) is fluid and simple. OpenAI did not invent this dynamic, it just came naturally when people made ChatGPT a habit and now he has optimized it to better monetize it. In Xataka | ChatGPT has been a tool. If you start remembering all our conversations, it’s going to be something else: a relationship. Featured image | Xataka

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