Carrefour offers two 50 and 65-inch QLED TVs at outlet prices and none of them reach 400 euros

Carrefour usually constantly launches offers on a wide range of televisions, and shortly at the end of February we can find two very attractive discounts on Daewoo and Toshiba models. Both have QLED panel technologybut the interesting thing lies above all in the price drops that will occur until next March 11. Daewoo 50DM75QV The first model is Daewoo 50DM75QVa television that, for 211.65 euroshas a very competent technical sheet. First of all, it incorporates a 50-inch QLED screen, includes several image modes for games, cinema and sports (among others) and is compatible with Dolby Visiona format that adjusts the brightness, color and contrast of the content being played. It also includes a speaker system that offers good sound power, is compatible with Dolby Audio for a more immersive sound experience and comes with several audio modes, such as one dedicated to sports. In addition, it has a function to mirror the screen from your mobile. The price could vary. We earn commission from these links Toshiba 65QV3463DG The second television that is on sale is the Toshiba 65QV3463DGa model that, for 381.65 eurosit is especially interesting if you are looking for a larger diagonal. It incorporates a 65 inch QLED panel. Its VIDAA operating system is the same as that of Hisense televisions and its screen is compatible with Dolby Vision and its speakers with Dolby Atmoswhich further improves immersion in movies and series. Its speakers also offer good power and are signed by Onkyothus offering more powerful and clear sounds with improved bass. It also includes a function to mirror the screen from a mobile and is compatible with Alexa to open apps using voice commands. The price could vary. We earn commission from these links You may also be interested Hisense AX5125H – 5.1.2 Sound Bar, 500W, Subwoofer and Wireless Rear Speakers, Ceiling Speakers, Dolby Atmos, Hi Concerto, 7 EQ Modes, 4K Pass Through, Bluetooth 5.3 The price could vary. We earn commission from these links Amazon Fire TV Stick 4K Plus, compatible with Wi-Fi 6, Dolby Vision, Dolby Atmos and HDR10+ The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Carrefour and Compradicción (header), Daewoo, Toshiba In Xataka | Best home theater projectors. Which one to buy and five recommended models from 299 to 18,000 euros In Xataka | Mega-guide to set up a home theater: projector, screen, sound system and more

the power is ready, but the cables do not reach

While the country breaks renewable generation recordsits nervous system – the transportation network – suffers an administrative thrombosis that threatens to stop reindustrialization and access to housing in its tracks. The diagnosis we’ve been counting for days: We have the power, but we have nowhere to plug it in. The problem is more about papers than cables. The main person accused in this crisis, Red Eléctrica (REE), has decided to break its technical silence to point directly at the bureaucracy. As explained by the CEO of Redeia (REE parent company)Roberto García Merino, the company does not suffer financial or supply restrictions; The problem is that “he does not have permission to invest more.” The gap between administrative times and physical execution is abysmal. As detailed by El Economistawhile building a substation barely requires one year of work, its prior processing can take between three and six years. In the case of long-distance lines, the scenario is even more bleak: six to twelve years of “paperwork” for only two years of actual construction. The “waiting room” in data. This paralysis has left a worrying x-ray: 130 GW of renewable generation have access permissionbut they wait for the infrastructure to expand so they can pour their energy. It is a figure equivalent to the entire current generation fleet. 20 GW of industrial demand and data centers await a connection that does not arrive. REE’s investment in 2024 reached a record of 1.5 billion euros, but the company insists that every project with construction permit is already underway. A collapse that extinguishes brick and industry. The situation is not just an office debate; It has direct consequences on the street. The Spanish electrical system has suffered an administrative “heart attack”. As we have explained in Xatakathe CNMC has been forced to postpone the publication of the capacity maps for three months (from February 2 to May 4, 2026) due to fear that 90% of the network nodes would appear “red”, blocking everything from factories to 350,000 new homes that, according to the Asprima employer’s association, are at risk due to lack of power. Given this, García Merino calls for shock measures: the application of “positive silences” or “responsible declarations” that allow work to begin while the bureaucracy continues its course, a strategy that is already beginning to sound loudly in Brussels. The Pyrenean wall. As the internal grid collapses, Spain produces so much cheap energy that it is forced to throw it away (curtailment). The Peninsula registers a surplus of renewables that plummets prices to levels close to zero or even negative. However, this wealth cannot be exported towards the rest of Europe. The culprit, according to various analysts and the CEO of Redeia himselfit’s France. The neighboring country acts as a “buffer” to protect its nuclear industry, preventing Spanish solar and wind energy—much more competitive—from sinking its prices. With barely 2.8% interconnection, Spain continues to be an energy island that wastes its green potential. The price of modernization Spain’s electrical future not only depends on volts, but on politics and bills. To finance this “reinforced mode” of operation and unlock investments, it is expected that in 2026 citizens will assume an increase in tolls and charges on their bills. As industry sources conclude“the plans are very nice, but they have to be built.” Spain has everything to be the battery of Europe, but as long as the processing of a cable lasts a decade, that potential will continue to be trapped in an endless bureaucratic waiting room. Image | freepik Xataka | The great electrical jam in Spain: we have plenty of electricity, but there are no cables to build houses and invest more

This year more will be invested in data centers than what the US spent to reach the Moon

We are witnessing live a technological race that is no longer measured only in announcements or demonstrations, but in tangible investments that grow at a speed that is difficult to ignore. In the United States, and also in other regions, large companies are allocating increasing amounts of money to build and expand the infrastructure that supports the current deployment of artificial intelligence services and the expansion of computing capacity that these companies pursue. Some speak of excessive enthusiasm and even a possible bubblebut the money already invested is part of the economic reality of the sector, while the projected figures point to an even larger scale. The question, therefore, is not whether the bet exists, but how big it really is. The numbers. If the first step is to assume that the investment exists, the second is to quantify it precisely. Data collected by The Wall Street Journal They suggest that Meta, Amazon, Microsoft and Alphabet (Google) could concentrate a joint expenditure of up to $670 billion in 2026 aimed at artificial intelligence infrastructure. We are talking about capital outlays associated with data centers, hardware and capacity expansion, not just “brick”. When a single annuity reaches that order of magnitude, the conversation shifts from expectations to measurable economic consequences. Dollars are not compared. What the analysis proposes is not a direct equivalence between amounts spent in different times, but rather a way of measuring the economic weight of each effort in its own historical context. Instead of adjusting old figures to current prices for inflation, the article uses the percentage of gross domestic product (GDP) as a common reference for separate projects over time. That shift in focus shifts the conversation from absolute money to relative magnitude within the U.S. economy. And it is precisely there where the investment associated with artificial intelligence acquires a historical dimension that is difficult to ignore. The investments. Among the great economic milestones that are often used as historical references in the United States, there are episodes as different as the Louisiana Purchase, the railroad expansion of the 19th century or the construction of the interstate highway system, all of them with different relative weights within the economy of their time. Using that same metric, this effort has been estimated around the following magnitudes: Louisiana Purchase: 3% of GDP Railway expansion: 2% of GDP Interstate highways: 0.4% of GDP Apollo Program: 0.2% of GDP As we can see, the planned investment in artificial intelligence infrastructure is around 2.1% of GDP. It’s not the same, but. Historical parallelism functions as a scaling tool, not as institutional equivalence. The large projects with which the current moment is compared were, in many cases, public initiatives financed directly or indirectly by the federal State, while investment in AI infrastructure corresponds mainly to corporate spending. That distinction is important, however, from a strictly economic perspective, the relative size of the effort remains comparable. The State does not pay the main bill. That the bulk of investment is private does not mean that the public sector remains on the sidelines. It’s no secret that the U.S. government influences the pace and shape of deployment through regulatory decisions, permitting, energy planning, and federal land use for new data center infrastructure. This set of levers is not a substitute for corporate capital, and at the same time it fits with a broader strategy aimed at preserving American leadership in the global race for AI. Historical comparison. This ends up pointing out something deeper than a simple number: it indicates the type of priority that a society decides to give to certain technologies at a specific time. When investment in AI infrastructure reaches a relative weight comparable to that of major American economic milestones, reading transcends the technology sector and enters the strategic realm. Images | POT | freepik In Xataka | Daniela Amodei, co-founder of Anthropic: “studying humanities will be more important than ever”

OpenAI will start placing ads on ChatGPT. We already know who this first test will reach

For years, ChatGPT It has functioned as one of the most accessible gateways to artificial intelligence, an assistant that many people use daily without a subscription. That model, which helped popularize generative AI at a speed that is difficult to match from the end of 2022is now beginning to show its limits. Maintaining that promise of mass access has an increasing cost, and OpenAI has decided to explore an avenue that had been on the table for some time: will start testing ads in the chatbota movement that puts back on the table how the AI ​​we use every day is financed. ChatGPT is about to change. OpenAI says that ads will only be shown on the free and Go plans, while users of ProBusiness and Enterprise will be left out. The decision introduces a clear separation between plans aimed at the general public and those designed for professional or business use. As we can see, in this pilot, advertising is associated with the cheapest access levels, while higher subscriptions maintain an ad-free experience. This is what ChatGPT ads will look like Where the advertising will appear. There are also details on how advertising will be integrated into the user experience. In this first phase, ads will appear at the end of ChatGPT responses when there is a sponsored product or service related to the ongoing conversation, always separated from organic content and, as the company promises, clearly labeled. Therefore, we should be able to know why we are seeing that specific ad and we will have the option to hide it. What about conversations. Along with the announcement of this test, OpenAI wanted to establish in writing the principles that, according to the company, will guide its advertising approach. It insists that ads will not influence ChatGPT responses, which will continue to be optimized based on what is most useful to the user, and emphasizes that conversations will not be shared or sold to advertisers. It also promises control: we can disable personalization and delete data used for ads. For adult users only. Not all users or all conversations are included in this test. The firm points out that the ads will only be shown to adults who are logged in, and that both accounts in which the user indicates, or the system estimates, that he or she is under 18 years of age, as well as content linked to sensitive areas, will be excluded. Health, mental health and politics are among the topics prohibited from appearing in advertisements. Someone has to pay for AI. Generative AI has become an extremely expensive technology to operate, while, as is often the case with services with a massive free plan, converting those users into subscribers is not easy, even with cheaper paid plans. OpenAI earns revenue from subscriptions and its API for developers, and in that context testing ads fits as one of the ways the company puts on the table to expand revenue without closing access. The financial hole. The economic context is best understood by looking at the numbers published at the end of 2025. According to financial documents seen by The Wall Street JournalOpenAI assumes that it will continue to accumulate very high losses for several years before achieving significant profits towards the end of the decade. The projection for 2028 is even more demanding, with operating losses that would reach $74 billion, driven mainly by the cost of computing. The competition is getting fiercerz. Added to this financial pressure is a competitive context much more demanding than that of ChatGPT’s first months. OpenAI’s initial leadership is no longer as undisputed as in 2022 and 2023, with rivals such as Google with Gemini and Anthropic with Claude reinforcing its offer and gaining presence. Staying ahead requires constant investment, not only in research, but also in infrastructure and operational capacity. The announcement does not close the debate, it opens it. OpenAI insists that this is a limited test with no long-term commitments, but the simple fact of introducing advertising sets a precedent. It remains to be seen if this model is limited to the United States or if it ends up spreading to other markets, and how users react to this change. Ultimately, the question is broader and affects the entire industry: who pays the real cost of artificial intelligence that aspires to be in the hands of everyone. Images | OpenAI In Xataka | If we ask Spaniards how they feel about AI, the answer is simple: more productive

This does not reach two euros per month and comes with three extra months

After Black Friday, this pre-Christmas season we are in is one of the times of the year when we most often buy online. The search for the perfect gift is not easy, but having the Internet It allows us to access many different stores to find even original gifts with which to truly surprise. Buying online (like any other online activity) can carry certain risks, especially if it involves stores that we don’t know much about or if we do it on a WiFi network about which we don’t have much information, such as that of a hotel. The simplest way to protect ourselves is by using a VPN and we have quality like Surfshark for very little: only 1.99 euros per month. Surfshark Starter Subscription – monthly The price could vary. We earn commission from these links A VPN is one of the best tools there is to protect ourselves on the Internet As we usually tell you, a VPN is a very useful tool that never hurts to have installed on our devices (be it a PC, mobile phone or tablet, among others). Maybe at this moment you are wondering if it is worth paying for one if there are free ones and the truth is that yes. Although there are free options, these are not recommended in the long run because They are not as safe as they say they are.. Now, is it worth using it when shopping online? When using a VPN, what we do is pass all our Internet traffic through a secure and encrypted tunnel, so that no one can see what we are doing. Thus, we will protect our transactions and purchases by keeping things like, for example, our credit or debit card safe. The fact of encrypting our Internet traffic is also ideal when using a public WiFi network or some type of establishment, such as a hotel or a shopping center. Plus, with a VPN too we will keep our IP address safewhich can fall into the wrong hands and be used, among many other things, to impersonate our identity. Now let’s talk about Surfshark, which is with its Winter Sale active. Thanks to them, as we said above, we can get hold of it for 1.99 euros per month if we opt for its two-year modality. With it, in addition, we will take three extra months (same as with the rest of the plans). In this way, to sum it up, we would have 27 months of VPN for a total of 47.46 euros. If we are looking for a tool that offers more and we have a larger budget, then we can opt for the plan Surfshark One. This one, which has a price of 2.29 euros per month in its two-year modality, it comes with VPN and other additional tools such as antivirus or an alert system that notifies us if our data is leaked on the Internet. Surfshark One Subscription – monthly The price could vary. We earn commission from these links Finally, we have to talk about the most powerful plan that this company has, called Surfshark One+. This one, what does it cost? 4.19 euros per month in its two-year modality, includes everything from the previous plan and an exclusive tool called Incogni, thanks to which we have the possibility of delete personal information from databases. Regardless of the plan we choose, we will have more Internet security at a very good price. Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Image | Money Knack, Arun Kuchibhotla In Xataka | Why it is dangerous to connect to public Wi-Fi and what you should do to protect yourself In Xataka | Free VPN and security: what’s the problem, why you should be careful

The Madrid-Barcelona AVE will reach a peak speed of 350 km/h. And it will do so thanks to new sleepers of Spanish design

While in China they are already thinking about trains that reach 4,000 km/hIn Spain we are looking for an AVE that reaches 350 km/h that could be reached without problems if it were not for one detail: the tracks. And for something much more specific: the sleepers. The solution is a new design called “aerotraviesa” that will increase the speed of the BIRD. The problem is that theory is one thing, and practice another. a physical problem. Spain plays in the high speed major league and, in it, Renfe opera four types of trains. The Alvia and Avant reach 250 km/h. The Avlo and the AVE reach 300 km/h. However, the machines are prepared to reach higher speeds, the aforementioned 350 km/h. The problem is in physics. When a train exceeds a certain speed, 300 km/h, a phenomenon called ‘ballast flight’ occurs. This implies that the underside of the train generates turbulence that creates areas of low pressure on the track. This causes the passage of the train to vibrate the stones, the ballast, lifting them and causing them to collide against the underside of the train or settle on the tracks and sleepers themselves. Furthermore, at more than 300 km/h, the possible bumps on the journey increase. Air traverses. That’s where a new sleeper design comes into play that the company itself Adif presented a few years ago. Instead of a flat crossbar, a traditional rectangle, the central part of it has a more rounded design. Adif affirms This modifies the velocity field on the ballast in the area between the sleepers, minimizing the presence of ballast particles, and the key points are: Reduces 21% of the aerodynamic load in the space immediately above the ballast bed. The design allows increasing the distance between the ballast level and the upper face of the sleeper. It has no higher manufacturing or handling costs (they are still molds). And most importantly: the aerodynamic load generated by a train at 330 km/h on a track with current sleepers is equivalent to that generated by the same train at 370 km/h, but with aero sleepers. AV350 Plan. In short, the aerocrossers improve the aerodynamic performance of the infrastructure and there is another important fact: their use allows an increase of 12% in the operating speed of the train. And it is not just theory, since Spain wants to start installing overhead traverses to improve the speed of the AVE. A few weeks ago, Óscar Puente, Minister of Transport and Sustainable Mobility, advertisement that the Madrid-Barcelona line will be the first to have these overhead traverses. The result? Reach the maximum speed of the original design of the infrastructure, which is 350 km/h. Currently, the AVE reaches those 300 km/h due to the physical limitations mentioned above. This will allow us to go from the two hours and 37 minutes of the AVE that currently takes the least time to less than two hours. Puente highlighted that the design of the aerocrosses is pioneer in the world. The Polytechnic University of Madrid, Adif and SENER constituted a consortium to develop this technology and obtained the patent in March 2014, achieving international protection in Europe, Saudi Arabia and the United States. There are countries that have faced the ballast problem in other ways, Germany covering the ballast with concrete, for example. Arching an eyebrow. Increasing the speed of the train by changing the sleepers sounds great. The problem is that there are some aspects to consider. On the one hand, the cost-benefit debate not only because of what the investment will mean in changing all the sleepers, but also because of the maintenance of certain train materials that will suffer more than now. Driving at 350 km/h exponentially increases the wear of both the wheels and the catenary, regardless of whether the ballast causes no damage to the train, or causes less. On the other hand, not only the sleepers come into play, but also the own land. A bump at 300 km/h can be annoying, at 350 km/h it can be something more. Or two. And, beyond whether it is worth the investment to gain half an hour or what will happen with those possible technical problems, the big question is what happens with the rest of Spain. It is estimated that the Madrid-Barcelona section in which these air crossings begin to be applied will take about two years to complete. At a rate of 800 sleepers changed per day and 1,666 sleepers per kilometer, the work is of great magnitude. And it is clear that it is a congested route and that it is seeing a boom in the number of travelers, but while that line is reinforced, the connection with other parts of the peninsula remains neglectedlike the train to Soria, Teruel or the perennial case of Extremadura. Images | Xataka, Adif In Xataka | AVLO’s departure from Madrid-Barcelona seemed like another problem for Renfe. He has left us an unexpected winner

The elite of the open models spoke in Chinese. Mistral has just placed Europe at a level that not even the US managed to reach

Over the last year, the elite of open models for assisted programming, at least in benchmarks as SWE-Bench Verifiedhas spoken with a Chinese accent. Names like DeepSeek, Kimi either qwen They had settled into the top positions in testing and were setting the pace in complex software engineering tasks, while Europe was still searching for its position. The arrival of Devstral 2 alters that distribution. It does not displace those who were already at the top, but it places Mistral at the same level of demand and turns a European company into a real contender in a field that until now seemed reserved for others. League change: the technical leap that had been brewing for some time. During recent months, the open models developed in Europe and the United States had shown constant evolution, although still without the performance necessary to compete in the most demanding tests. The progress was evident, but there was a lack of a project capable of consolidating it at a higher level and demonstrating that this path could give results comparable to those of the sector. Devstral 2 in data: performance, size and licenses. The new Mistral model reaches 123B parameters in a dense architecture and offers an expanded context of 256K tokens, accompanied by a modified MIT license that facilitates its adoption in open environments. Its compact version, Devstral Small 2, reduces the model to 24B licensed parameters Apache 2.0. In the SWE-Bench Verified figures published by the companyDevstral 2 obtains 72.2%, a mark that places it in the most competitive section of the open models evaluated and that confirms its presence among the most advanced alternatives in the segment. It is reflected by a panorama concentrated in the upper part of the benchmark. Among the open models, DeepSeek V3.2 leads the group with 73.1%, followed by Kimi K2 Thinking with 71.3% and for proposals such as Qwen 3 Coder Plus and Minimax M2, which are around 69 points. At lower levels GLM 4.6, GPT-OSS-120B, CWM and DeepSWE appear, with more moderate results. In the closed commercial environment (proprietary models), the graph incorporates higher scores: Gemini 3 Pro reaches 76.2%, GPT 5.1 Codex Max rises to 77.9% and Claude Sonnet 4.5 scores 77.2%, all of them above the best brands registered for open models. What SWE-Bench Verified Really Measures and Why It Matters. SWE-Bench Verified is a test designed to evaluate whether a model can solve real programming tasks, not synthetic exercises. Each case presents a bug in an open source repository and requires a patch to pass the previously failed tests. The evaluation seeks to measure whether the system understands the structure of the project, identifies the cause of the problem and proposes a coherent solution. It is a useful and demanding metric, although limited to Python repositories and a specific set of situations that do not cover the full breadth of software work. From co-pilots to agents who act on the project. The arrival of Devstral 2 coincides with a broader change in the way of working with programming tools. It is no longer just about receiving suggestions in the editor, but about having agents capable of exploring an entire repository, interpreting its structure and proposing changes consistent with its real state. In this context, Vibe CLI appears, a tool that allows Devstral to analyze files, modify parts of the code and execute actions directly from the terminal, bringing these capabilities closer to the daily workflow of developers. Cost and deployment: what each type of user can do with Devstral. The model will be available for free for an initial period and will then cost $0.40 per million tokens for input and $2.00 per million for output, while the Small 2 version will be priced lower. Its deployment also makes a difference: Devstral 2 requires at least four H100-class GPUs, aimed at data centers, while Devstral Small 2 is intended to run on a single GPU and, according to Mistral documentation, the Devstral Small family can also run in CPU-only configurations, without a dedicated GPU. This variety allows both companies and individual developers to find a suitable entry point. The appearance of Devstral 2 introduces an unexpected element in a space where Chinese companies set the pace and where not even the United States, despite its leadership in artificial intelligence, had an open model in this high performance range in SWE-Bench Verified. Mistral does not displace those who were already at the top, but it does broaden the conversation and shows that Europe can compete in a field where it did not appear until now. It is a movement that does not alter the general hierarchy, although it does open a new margin for the evolution of assisted programming tools. Images | Xataka with Gemini 3 In Xataka | OpenAI and Google deny that they are going to put ads in ChatGPT and Gemini. The reality is that accounts do not come only with subscriptions

That the US authorizes Nvidia’s H200 to reach China is not a concession, but a plan. They prefer money to competition

The chip war between China and the US has mutated from a blockade to a commercial transaction. Donald Trump has announced that he will allow Nvidia export its high-performance H200 chips to China. The authorization carries an unprecedented condition: the US government will receive a 25% commission about these sales. This “reverse tariff” transforms China containment into a source of income, breaking with the strategy of total suffocation and offering a lifeline to Nvidia in its most critical market. End of free blocking. The decision is a direct result of a meeting last week between Trump and Jensen Huang, CEO of Nvidia. The White House’s logic has changed: it argues that this measure is carried out under strict national security conditions, extending the model to competitors such as Intel and AMD. It is a movement that formalizes what was already intuited a few months ago, when Nvidia managed, after a first meeting with Trump, lift veto on bottom H20 chip. At that time, a precedent was already established of transferring 15% of income to the country, a figure that now scales to 25% for the most powerful hardware. Tap on the image to go to the original post A dose for China. That they chose this chip is no coincidence: the H200 is significantly more powerful than the H20—the trimmed model that China had started to boycott— but it is still behind the cutting-edge Blackwell architecturewhich is still banned. According to advisors such as David Sacks, the North American country seeks to keep China addicted to its technology: if they are denied all access, they are forced to look for alternatives of their own. In fact, Huawei has already admitted that it will take two years to match the performance of the H200, making this chip the perfect tool to slow down Chinese development while monetizing its need. Cracks and black market. The reality is that the total blockade was failing. Recent investigations showed how Chinese companies used shortcuts through Indonesia to access the power of banned chips. Furthermore, the second-hand market had become the main avenue for China get H100 and A100 GPUs off the radar. By allowing the sale of the H200, the US is trying to regain control over a flow that already existed, but in the shadows. At the same time, the Department of Justice announced “Operation Gatekeeper” to dismantle smuggling networks in countries like Hong Kong. China’s response. The great unknown is precisely this, the reception of the news in Beijing. Although Trump claims that Xi responded “positively,” the reality on the ground seems different. China has been for months banning your local businesses buy Nvidia chips to promote its domestic industry. The CAC (Cyberspace Administration of China) came to investigate the H20 looking for rear doorssomething that generated a climate of mistrust that not even the previous July agreement managed to completely dissipate. Jensen Huang, who warned about the danger of an “AI silk road” If the US continued to block sales, with this pact it gets a golden opportunity to not lose a market that represents 13% of its income, although its Chinese clients must now pay the price of American geopolitics. Cover image | Composition with images from Nvidia and RawPixel In Xataka | China has just redrawn the map of strategic minerals: its new rules on rare earths target the United States

In the search for a supersonic train, China tests a Maglev that will reach 4,000 km/h. The problem will be maintaining it

China’s conquest of the high-speed train field is impressive. In the 2008 Beijing Olympicsthe country had just 120 kilometers of high speed between Beijing and Tianjin. 17 years latermanage more high-speed kilometers than any other countrya very long distance from Spain or Japan. They are not only building kilometers to unite the entire country: they are developing technologies so that the plane is no longer necessary. As? With Maglev trains at speeds of 1,000 km/h. And a specific model, the T-Flight, which dreams of 4,000 km/h. Maglev + Hyperloop. China is one of the countries, along with Japan, that is investing a lot of money in the development of the magnetic levitation trainsor Maglev. This technology allows trains not to rest their wheels on the rails, but rather to float thanks to a series of powerful magnets and an electromagnetic field. This allows us to exceed the 250 km/h that has been set as a standard for high speed and, for example, China has the fastest Maglev in the worldone that reaches 431 km/h. It is already operational between Beijing and Shanghai, but in Japan is testing one that will exceed 600 km/h. It’s a speed that will seem slow compared to what CASIC is preparing. It stands for “China Aerospace Science and Industry Corporation,” a state-owned tactical missile company that announced the T-Flight project in August 2017. The idea? Combine magnetic levitation trains with Hyperloop-style vacuum tubes. T-Flight. In short, it is putting a Maglev in a vacuum tube, eliminating air pressure and resistance as much as possible, but there is much more. For example, the idea of CASIC is that magnetic levitation is enhanced thanks to superconductors that will raise the train up to 100 mm above the rail. Conventional Maglevs are raised by about 10 mm, and the idea is that the higher the train is, the more stability it will have at extreme speeds. On the other hand, the tube itself, with a system that extracts air from it to create a low pressure environment, reducing aerodynamic resistance to the maximum. This partial vacuum and levitation that eliminates the physical resistance of the wheel and track is what will allow unprecedented speeds to be achieved. Achievements. In 2024 they already achieved one first validated test as a world record by reaching 623 km/h, but in the summer of this year, in a low pressure environment, The train reached 650 km/h in seven seconds in its laboratory. They were strange tests, since the track was a kilometer long when the usual thing is much longer, but that also gives us a clue of what brutal which is both the acceleration and braking of the train. That is, think that, in seven seconds and in just one kilometer, the train accelerated to 650 km/h and stopped. The team’s idea is to reach 800 km/h as the top speed this year, but the ambition goes much further. Ambition. Currently, the team is in Phase 1, which is the one that aims aim that speed of 1,000 km/h. To do this, and to validate the speed in real conditions, they want to extend the test track to 60 kilometers. However, the thing does not stop there and, when the project was born, it was already said that Phase 2 and Phase 3 would have as aim 2,000 km/h (almost double the cruising speed of a traditional commercial airplane) and 4,000 km/hsupersonic speeds that would compete with the fastest planes in the world. This would allow large urban centers in China to be linked in a few minutes, leaving aside the need to take planes to cover long distances. In fact, this high speed is already showing in Europe that short flights do not make sense if we combine the waiting time at the airport with the flight itself and compare it with the comfort of access to the train. A major challenge. Now, the goal will not be easy. Maglev technology works and is proven, but what they want to achieve with this T-Flight not only complicates things because, in addition to a track, a tube must be built. And, of course, maintain it. Extending this partial vacuum over hundreds of kilometers of tube represents an enormous technical challenge because it implies that the joints must be perfectly sealed, without the cold and heat dilating them so that there are no leaks. It is estimated that a 600 km pipe requires an expansion joint every 100 meters, and each one of them represents a potential point of failure. Furthermore, at 300 km/h appreciate vibrations in the seats. Air system to reduce pressure inside the tubes Furthermore, any decompression would be catastrophic and perhaps most importantly: there is no certification standard or safety protocols for something like this. In any case, T-Flight continues to take steps at a good pace and, although it seems difficult to see it working in the short term, if a country can achieve it right now… it is China. Images | Geely In Xataka | After 20 years, the definitive one arrives: Brazil prepares the first high-speed train in South America

that the Russian hypersonic missiles do not reach the target believing that they are in Peru

He Kinzhalpresented by the Kremlin as a hypersonic missile “invincible” capable of overcoming any Western defense, has experienced a series of technical improvements designed to further increase their lethality and reduce the possibilities of interception. In fact, until three months ago it was a real toothache for Ukrainian defenses. Until they have come up with an idea… and a song. Evolution of a missile. Derived from Iskander-M and launched from aerial platforms such as MiG-31K or the Tu-22M3the missile combines speeds that can approach Mach 10 with a deeply maneuvered terminal profile, capable of executing abrupt descents, sudden lateral changes and trajectories designed to break the radar lock of Ukrainian Patriots. Its ability to hide within mixed salvos, blending in with slower missiles, has drastically reduced interception rates: from 37% in August to just one 6% in September. This has made, in theory, previously interceptable missiles become threats that are very difficult to stop, especially when they are used in massive attacks that combine hundreds of drones and dozens of ballistic or cruise missiles. The hidden weakness. However, despite its speed and maneuverability, the Kinzhal has a technical Achilles’ heel: it depends on the navigation system. GLONASS satellite to correct the natural errors of the inertial system, whose precision tends to degrade over time. TO INS differencethe satellite link can be manipulatedinterfered with or supplanted. And here lies the Ukrainian advance. Although the missile incorporates controlled pattern receiving antennas (taking their number from 4 to 8, 12 and now 16 elements in a Russian attempt to counter interference), these electronic defenses have proven to be insufficient against systems designed specifically for front-line conditions. Ukrainian unity Night Watch has shown that, despite Russian improvements, the Kometa receivers They are still based on technology inherited from the Soviet era, unable to resist a spoofing well executed. This combination of high kinematic complexity and electronic vulnerability creates a tactical paradox: Russia’s fastest and theoretically most advanced missile can be diverted by manipulated digital signals if they manage to infiltrate its navigation cycle. A kind of electronic optical illusion. Music as a weapon of precision. Before the fall of the Patriot effectivenessUkraine has opted for a completely different weapon: Lima, a electronic warfare system which not only blocks the Kinzhal’s satellite communications, but also replaces its navigation stream with false data. This system creates a large zone of electronic denial in which missiles lose their spatial reference, but does so with sufficient precision to induce highly controlled errors. Their spoofing technique is more sophisticated than simple jamming: it does not turn off navigation, but rather manipulates it. Lima sends a signal in binary format that can include any content, but operators have chosen to embed the ukrainian anthem “Our Father Is Flag”both for technical and symbolic reasons. This deceptive signal, once accepted by the missile’s receivers, allows it to believe that it is thousands of kilometers to the west, specifically in Lima (Peru), forcing it to abruptly correct its trajectory. At speeds above Mach 5, these changes generate structural stresses that overcome the resistance of the fuselage, causing the missile to break up in flight or crash without detonating. In this way, Ukraine has managed to divert or destroy more than about twenty Kinzhales in a few weeks, a much more significant achievement given its scarcity and its cost to Russia. The controlled diversion. The results of the Lima system are visible in the impact patterns: craters that appear in dozens or even hundreds of kilometers of the planned objectives, sometimes up to 200 km off course. The change in accuracy is drastic. Although Russia claims that the Kinzhal’s CEP is around 10 meters, leaked images by military analysts show missiles falling with errors of more than 140 meters even in recent attacks. There is no doubt, when a weapon designed to penetrate underground bunkers ends up hitting an open field, the effectiveness of spoofing is demonstrated. In many cases, the missile does not even activate the explosive charge because the impact sequence depends on parameters that are altered by the confusion generated in the guidance system. Night Watch Operators they underline that Lima does not act on a single receiver, but on all of them simultaneously, which nullifies the Russian strategy of multiplying antennas to “jump” between signal sources. Each missile receiver, upon entering the affected area, interprets the false data as valid, which turns spoofing into a kind of “enveloping trap” that is impossible to avoid. A constant evolution. This confrontation between hypersonic missile and spoofing techniques illustrates the character of “cat and mouse” that defines contemporary electronic warfare. Russia adjusts software, redesigns terminal profiles and multiplies antennas, and Ukraine responds by creating systems that replace the entire satellite data constellation by a corrupt flow impossible to filter. In fact, the United States and Western companies are already working on technologies capable of detecting or neutralizing spoofing, as Russia explores more robust guidance systems. For now, however, the electronic advantage is Ukrainian: the weapon that Putin called as “invincible” and “capable of overcoming any Western defense” is falling into empty fields, breaking up in mid-flight, or drifting harmlessly away. At the same time, the technique also affects other russian missiles that transit through the interference zone, expanding the defensive range without the need to intercept one by one. The strategic lesson is clear: in a conflict where Russian industry produces only between 10 and 15 Kinzhales a month, losing them to electronic manipulation is a disproportionate blow to the Kremlin’s offensive capacity. Speed ​​vs information. In short, the confrontation between the Kinzhal and the Lima EW system is a reminder that military superiority no longer depends only on speed, armor or explosive power, but on who controls the flow of information. The missile can fly at Mach 10 and be almost impossible physically intercept, but if its guidance system interprets that it has been “teleported” to Peruall its kinetic energy turns against itself. For Ukraine, this achievement represents the opening of … Read more

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