enemy

Samsung joins the trillion dollar club. AI has made it possible, but it has also made it its enemy

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Samsung has reached a market capitalization of one trillion dollarswith its shares soaring more than 15% in a single day. There is only one other Asian company in that club: TSMC. And it is no coincidence that both manufacture chips. Of course, Samsung’s reality is a little more complex. Why is it important. AI is changing the hardware hierarchy. Who controls the memory that powers data centers largely controls the rate at which the world can scale its AI models. Samsung has been the largest memory manufacturer on the planet for almost a decadeand that, in 2026, is literally worth a trillion. The context. The memory chip business has long been quite cyclical, alternating periods of shortage with periods of overproduction and plummeting prices. But AI has introduced a new variable. Data centers require huge amounts of HBM memory (High Bandwidth Memory) to run their workloads, and the bottleneck is structural: building new manufacturing capacity takes two to three years. That means the shortage isn’t going to be resolved anytime soon, and prices are going to remain high. In figures. Samsung’s first quarter numbers: The operating profit has multiplied by eight that of the same period of the previous year. Revenue has reached an all-time high of 133.9 trillion Korean won. The semiconductor division has generated more than 90% of the company’s total profit. Yes, but. The paradox that makes Samsung different from TSMC or NVIDIA is that it also manufactures smartphones and televisions. And those businesses buy the same memory chips that are now scarce and expensive. He boom that enriches its semiconductor division is cutting the margins of its consumer divisions. Samsung has become, in a way, its own internal rival. Between the lines. This week’s stock market jump is not explained only by the quarterly results. An article from Bloomberg has made public that Apple has held talks with Samsung and Intel to manufacture chips for its devices on US soil, diversifying its dependence on TSMC. If Samsung manages to win that contract, the impact on the semiconductor supply chain would be more than notable. The big question. How long does this last? The bullish memory cycle has an expiration date: as soon as the construction of new factories increases the available supply, prices will fall again. The only scenario in which this does not happen is if demand for AI continues to grow faster than installed capacity. Until now, that’s how it has been. But Samsung has fully sold out production capacity for this year alone, which gives an idea of ​​the pressure on the system. In Xataka | Samsung has just achieved a milestone that has not been recorded for eight years. The problem is that it is a mirage Featured image | Max Whitehead

the true enemy has the face of a “friend”

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Tas the downing of the flight Malaysia Airlines Flight MH17 In 2014, international investigators analyzed the remains of the missile involved and discovered that many of its parts came from production lines distributed in different countriessome originally designed for completely different uses. That analysis left an idea that is difficult to ignore, and in Ukraine hasn’t stopped to repeat again and again. A new missile, a “new” surprise. When Ukraine has been able analyze in detail one of the latest models of missiles used by Russia has happened to him like with dronesthe surprise has not come only because of its design or its capabilities, but because of what it had inside. The S-71Kone of Moscow’s most recent bets to sustain its offensive, has revealed an uncomfortable reality that is repeated on the front: beyond direct confrontation, part of the technology that makes it possible does not apply only from Russia. This realization introduces a different dimension to the conflict, one in which the origin of the components becomes a key clue to understanding how current weapons are being built. A weapon to mass produce. The S-71K is part of a new generation of air-to-ground missiles designed with a clear objective: reduce costs and facilitate volume production. Integrating existing elementslike a Cold War bomb adapted to a structure with discrete shapes to reduce its detection, the system combines relatively simple solutions with specific improvements in range and survivability. With a compact engine, a basic guide and an optimized design, it fits into a strategy that prioritize quantity available on the battlefield versus the extreme sophistication of previous models. The air intake of the S-71K engine Global and “friendly” technology. However, the most striking aspect is not in its architecture, but in its bowels. He ukrainian analysis indicates that the vast majority of its electronic components come from abroadincluding countries in Europe, especially Germany, but also in Asia and the United States. As we have been countingthis pattern is not isolated, but that repeats in other Russian systems, suggesting that, despite sanctions, Moscow continues accessing international technology through civil markets, intermediaries or indirect routes. The paradox is more than evident: in the middle of a war, part of the operation of these weapons depends on parts manufactured in countries that, in theory, seek to limit that same capacity. The real challenge. He findFurthermore, it focuses on the real difficulties of controlling the global flow of technology. Sanctions, although broad, do not always completely block access to critical components, especially when these They have civil uses and circulate in complex supply chains. For Ukraine and its allies, the problem is no longer just stopping Russian production at source, but identify and close those cracks that allow key pieces to continue arriving. In that sense, the battlefield extends far beyond the front, reaching factories, distributors and international markets. A war in supply chains. If you will also, the S-71K case illustrates how modern conflicts depend as much on global logistics as on direct military capability. As Russia seeks cheaper, more scalable solutions to keep up the pressure, Ukraine faces not only new weapons, but a system that continues to feed on distributed technology all over the world. The image that remains at the end is, to say the least, complex: the visible adversary launches the missile, but part of its effectiveness is built with pieces that travel much wider routes and are sometimes difficult to control. from “allied” territoriesturning the global economy into an indirect actor in the conflict. Image | GUR In Xataka | The war in Ukraine continues to make science fiction useless: we already have drones that kill like a hunter In Xataka | Russia has an unprecedented enemy in the Ukrainian war: Japan has just landed with a weapon to take down its shaheds

Google will invest up to $40 billion in Anthropic because the new normal for AI is investing in your enemy

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May the rhythm not stop. Amazon announced an investment of 25,000 million in Anthropic a week ago, and four days later Google went even further. The Mountain View Company spoke on Friday of an investment of up to $40 billion in that same company. We insist: this is non-stop. The money doesn’t stop flowing. In less than a week, two of the largest “cloud providers” in the world have committed to investing up to $65 billion in a company that, attention, is a direct competitor in the AI ​​segment. None have done it out of generosity, and here there is a lot of covering one’s back and, of course, circular financing. This is the Google agreement. Google will invest $10 billion now considering that Anthropic’s valuation is between $350 billion and $380 billion. From there, it can invest another $30 billion linked to company performance milestones that have not been detailed. What Google gains. In exchange for that investment, Google Cloud will provide an additional 5 GW of computing capacity from 2027, expanding the agreement that Anthropic had already announced with Google and Broadcom to contract 3.5 GW of computing in the form of access to their TPUs. Google already invested 300 million dollars in Anthropic in 2023, but months later he put it on the table another 2,000 million more and in 2025 another 1,000. Anthropic is already worth a fortune. It is estimated that before this agreement its participation in Anthropic was around 14%, and with this new agreement that participation will evidently increase. Anthropic’s valuation has grown dramatically in recent months, and according to Bloomberg There are offers for a new investment round that would place its value at 800,000 million dollars, already at the level of the 850,000 million valuation that OpenAI is around. Its growth is overwhelming, and it is clear that today She is the pretty girl of the industry. No one could wait. The speed with which these announcements have occurred is motivated in part by the competitive fear between Amazon and Google. Anthropic uses Trainium chips from Amazon and TPUs from Google: it needs both and they both know it. Every dollar those companies put into Anthropic is a business case for Claude’s clients to use AWS or Google Cloud, so it makes sense that both want to solidify that “preferential relationship” with the company that is conquering the enterprise market. The circular financing model as a standard. This week’s agreements consolidate what many already consider as the new normal sector: hyperscalers invest in AI startups, and AI startups spend that money on the infrastructure of those hyperscalers. For example: Google Cloud grew 36% in revenue last year to $58.7 billion and Anthropic was most likely one of its heavy clients. The money Google invests in Anthropic comes back in the form of invoices, and the same goes for Amazon and Trainium. But the investment has another reason. These investment agreements not only seek to strengthen ties with the most promising AI startup of the moment, but also have a significant stake in its shareholders. That’s even more striking, because both OpenAI and Anthropic They hope to go public before the end of the year and if so, Google and Amazon will have “bought cheap” their stake in a startup that is expected to skyrocket exceptionally once it becomes a public company. Once again, this is a bet for the future. But there is also the other big reason: the majority of investors (be they funds or companies) do not want to be left behind in this race and are betting because everyone else is doing it too. It doesn’t matter that AI companies are losing money non-stop: the promise is that there will come a time (2029 or 2030) in which the trend will change. It is not certain that this will happen, of course, but OpenAI or Anthropic play with that card and use it to their advantage. We have the last example in Mythos, an Anthropic model that it’s so good (or so they say and some others) who prefer not to make it public. It’s once again selling expectations… and it works. In Xataka | DeepSeek has just released a model that competes with Opus 4.6. It costs seven times less and runs on Chinese chips

Amazon is clear about its strategy for the AI ​​war: if you can’t beat your enemy, invest in them

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Just two months ago Amazon announced a astronomical investment of $50 billion in OpenAI. Today he made a movement very similar to the announce which will invest $5 billion in Anthropic and could invest an additional $20 billion “tied to certain commercial milestones) in the future. There are counterparts and some circular financing, of course, but also a clear pattern: Amazon has no winning horse in the AI ​​race, so it is betting on its competitors. More circular financing. Amazon now has alliances in the form of active investment with the two leading AI companies in the world. In return, both OpenAI and Anthropic commit to huge spending on their services on AWS. There is a lot of circular financing here: me I lend you the money so that you spend it on me. Those houses of cards that OpenAI and Anthropic are building have clear risks, but the industry is totally immersed in that maelstrom. In Xataka OpenAI is making the tech industry unite its destiny with yours. For the sake of the global economy, it better work Analysts warn. There are concerned analysts here and others who defend this type of agreement. M. Mohan asked in X why regulators are not on top of these types of financially dangerous agreements: the domino effect if OpenAI or Anthropic fall could be terrible. For others like the well-known Jim Cramer this is not circular financing. According to him, circular agreements are designed to inflate profits, and here no one’s profits are being inflated. Their argument is that Amazon has real computing, Anthropic needs real computing, and the value of the investment is genuine. History repeats itself. The same debate occurred in January with OpenAI, and the conclusion was the same then: the image of circular financing is there but it does not necessarily imply fraud, it implies that Amazon has found a way to monetize the AI ​​​​craze without betting on any particular model. Or for the two who seem to be winning the race. But everyone is doing it. The numbers of the agreement with Anthropic. Amazon puts up $5 billion immediately, taking advantage of the company’s current valuation of $380 billion. It is also committed to investing up to an additional $20 billion linked to “certain commercial milestones” that have not been specified. In exchange, Anthropic commits to using Amazon technology, and specifically its Trainium and Graviton chips, for the next decade. No less than 5 GW of computing capacity is secured, which is more or less the capacity consumed by New York City. This is perfect for Anthropic. He Anthropic statement about the agreement contains an interesting paragraph. In it, the company admits that the demand for AI by companies, developers and users is generating “inevitable tension” in its infrastructure. Or what is the same: they can’t do everything, so they are resorting to measures that “penalize” the excessive use of their AI models. They restrict session limits during peak hours, change the pricing model in companies to a “pay as you go”, or change the level of effort of their models and they sign up for token inflation. The agreement with Amazon makes it possible to mitigate the problem of computing shortages. The race for gigawatts. The truth is that Anthropic has been moving for months to try to avoid more and more problems with the computing capacity they can access. In a few weeks we have seen how Amazon’s 5 GW have been secured and also “multiple gigawatts” computing teams contracted with Google and Broadcom. What Amazon is actually building. Viewed as a whole, Amazon’s strategy is simple and elegant. You don’t need to win the AI ​​modeling race, which is unpredictable and extraordinarily expensive. It only needs that whoever wins it depends on it and its infrastructure. By investing at the same time in two rivals like Anthropic and OpenAI and securing massive spending contracts from both, it achieves something striking. Turn uncertainty into an asset: it doesn’t matter who wins, because she will end up getting paid. This also reinforces the relevance of its Trainium and Graviton chips, something that validates its commitment to its own chips. {“videoId”:”xa4n2g8″,”autoplay”:false,”title”:”An initiative to secure the world’s software ｜ Project Glasswing”, “tag”:””, “duration”:”349″} Win-Win. The agreement seems perfect for both parties. Amazon ensures, as we say, consumption in its infrastructure for the next ten years, and Anthropic achieves an investment that increases its market value again. The same happens with OpenAI, and in both cases these agreements and financial support only reinforce expectations about their imminent IPOs. Image | Fortune Brainstorm TECH In Xataka | OpenAI and Anthropic have proposed the impossible: lose $85 billion in one year and survive (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 Amazon is clear about its strategy for the AI ​​war: if you can’t beat your enemy, invest in them was originally published in Xataka by Javier Pastor .

Drink water right before going to sleep? Science has finally clarified whether it is a good idea or a terrible enemy of sleep

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Before going to sleep, some people may have an almost standardized ritual in which they should drink one or two glasses of water, and also have a backup on the bedside table in case they get thirsty in the middle of the night. But there are also many questions about whether it is positive to drink water before sleeping for eight hours or if it is counterproductive by forcing us to get up in the middle of the night. And here science has something to say. It has benefits. What is clearly known is that during the night our body does not go into a total pause, but rather continues with an active metabolism even though it is attenuated. That is why we lose approximately half a liter of water simply due to evaporation when breathing and sweating, and to compensate for this, hydration can be the best ally. It is investigated. A Japanese studio published this same year analyzed a group of middle-aged men to conclude that drinking 280 ml of water just before going to bed significantly reduces morning depressive mood and improves well-being upon waking up. But it is not the only one, because a 2025 crossover trial with 15 healthy adults found a relationship between drinking fluids before sleeping and the duration and quality of sleep. REM phasewhich is what makes us truly rest. And it makes sense, because adequate hydration favors the release of vasopressin, a key hormone for regulating the biological clock and preventing tissue dehydration during deep sleep. And it is essential, because it can translate into less fatigue and headaches in the morning. He has problems. It will not always be beneficial to have this habit, since the main enemy of drinking water at night is nocturiawhich is the need to wake up to urinate during the night. And although the total time we spend awake is not drastically altered, because it is only a few minutes, there is an interruption in sleep. It depends on the quantity. Logically, drinking a glass of water is not the same as drinking a whole bottle before going to sleep. That is why when you go over half a liter of water there is a possibility that some pre-existing problems such as chronic insomnia will worsen or even increase the risk of falls when getting up in the dark. How to do it. There are a series of tips that we can follow to stay hydrated during sleep and they are summarized in the following points: You should limit yourself to drinking around a quarter of a liter of water in the final part of the day to avoid overfilling your bladder. The last glass of water should be drunk two hours before going to sleep. Maintain good hydration throughout the day to avoid reaching the end of the day with a major hydration problem. Images | krakenimages.com on Freepik In Xataka | There are people obsessed with magnesium as a supplement when the best way is to put it directly into your diet

They have become your biggest enemy

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The generation that has been born and raised with internet in your pocket is showing signs of being up to the top of the AI. The initial enthusiasm sparked by the massive arrival of AI tools among young people of Generation Z has given way to something much less glamorous: distrust, anger and, in the work environment, an active resistance to using AI that is catching many companies off guard. A survey of 1,572 young people of that generation carried out by Gallup, the Walton Family Foundation and GSV Ventures records a change in attitude among members of Generation Z that contradicts the image of a technology-enthusiast digital native generation. The great disappointment in numbers. According to the study According to Gallup, the share of Gen Zers who say they are excited about AI plummeted from 36% in 2025 to 22% in 2026, a decline of 14 percentage points. Those who describe themselves as optimistic increased from 27% to 18%, while those who express anger or rage towards AI grew from 22% to 31%. Anxiety, which already had high percentages in the 2025 data, has remained stable, going from 41% to 42%. The unrest of young people has a very specific trigger: the fear of the lack of employment opportunities. According to the data published by The New York Times48% of young people from Generation Z consider that the risks of AI in the labor market outweigh its benefits. Only 15% perceive this technology as a benefit. Additionally, 80% of young people surveyed believe that relying on AI to complete tasks faster is an obstacle to long-term learning, revealing a distrust that goes beyond employment and affects how young people perceive their own development. They use AI, but reluctantly. Despite the great disappointment expressed by the genzers51% continue to use AI weekly, although that percentage has only grown four points compared to 2025, being an obvious symptom of a slowdown in the adoption of AI. Zach Hrynowski, a senior education researcher at Gallup, attributes this continuity not to enthusiasm but to pragmatic acceptance: Young people use AI because they understand they can’t ignore it, not because they like it. The researcher also points out that the oldest members of that generation are the ones who express the most anger, precisely because they are the ones who are entering a labor market in which AI threatens the jobs they have. they must occupy. Silent office sabotage. Generation Z’s discomfort with AI is not limited to statistics. a report Prepared by the business AI company Writer and the consulting firm Workplace Intelligence, based on interviews with 2,400 workers in the US, the United Kingdom and Europe, it revealed that 29% of employees admit to having actively sabotaged their company’s AI implementation strategy. Among Generation Z workers, that percentage rises to 44%. Forms of sabotage range from introducing sensitive information into public AI tools, using unauthorized applicationsrefusing to use imposed AI tools, or manipulating performance evaluations to make AI appear less effective. 30% of those who admit these behaviors say they act this way because fear of losing your job. Adapt or fall behind. The research in Harvard Business Review also point to why resistance to succumbing to AI has increased among this generation: when AI frustrates basic psychological needs such as the feeling of being competent, autonomous or having meaningful connections at work, employees not only reject it, but perceive it as an existential threat. Companies, for their part, do not seem willing to wait: 60% of managers surveyed by Writer acknowledge that they are considering letting go of employees who refuse to adopt AI, and 69% have plans to make layoffs related to this technology in the coming months. In Xataka | “I’ve worked every day for the last three years”: the price of becoming the youngest AI millionaire Image | Pexels (cottonbro studio)

The US tried to treat Anthropic as if it were an enemy company for refusing to arm its AI. The judge just stopped him

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There is a new chapter in the clash between Anthropic and the Pentagon, and it is one that must not have sat well with the Trump administration. After declaring it “a risk to the supply chain” (put her on the blacklistOh), Anthropic went to court and now the judge has just agreed with them, so the order has been paralyzed. what has happened. The Trump administration sought to punish Anthropic after refuse to let their AI be used in lethal autonomous weapons and mass surveillance, but Judge Rita Lin, of the Northern District of California, just blocked the order. The judge has asked the government for a report, which they must present before April 6, in which they detail how they have complied with their resolution. The government has seven days to appeal. “Orwellian idea”. The judge is quite harsh with the government’s decision. He considers that it is an “arbitrary and capricious” move and that “no provision of the applicable law supports the Orwellian idea that an American company can be branded as a potential adversary and saboteur of the United States for expressing its disagreement with the Government.” Furthermore, he indicates that if the problem is that they do not trust Anthropic’s AI “the War Department could simply stop using Claude.” It’s not going to sit too well with the Trump administration. In his order he also mentions the “financial and reputational prejudice” to which Anthropic would be exposed if this measure is applied, arguing that it could leave the company paralyzed. Why is it important. It is the first time that a restriction of this caliber has been applied to a domestic company. Supply chain risk is defined as “the risk that an adversary could sabotage or subvert a covered system,” but what has happened here is that it has been used as a punishment for disagreement. Furthermore, if the order were implemented, Anthropic would be commercially isolated by being prohibited from working, not only with civilian agencies, but also with private companies that wanted to work with the defense department. And now what. Several legal experts They already warned that the decision would not survive legal scrutiny and it has. This decision represents a victory for Anthropic, which in a statement assured that “Our goal remains to collaborate constructively with the Government to ensure that all Americans benefit from safe and reliable AI.” The question now is what will be the next step of the Trump administration, which has not yet commented on the matter. In Xataka | OpenAI says its deal with the Pentagon is secure. Seriously, really, you have to believe it, trust it, it assures you Image | Anthropic, edited

The number one enemy of the Spanish mountain is called climate change. And we have data to prove it.

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In 2024, they burned 47,700 hectares. In 2025, 340,000 were exceeded. And honestly, the reasons are manyalmost too many. Well, Marco Turco, from the University of Murcia, just demonstrated something that we already sensed: at a global level, the days of extreme fire risk They have increased 65% since 1980. That’s 12 more days a year. And, if that were not enough, the Mediterranean region is where lthe signs are clearer. What does all this mean? In general terms, this means that although the causes of the fires remain human (in Spain between 80 and 95% of firesin fact; the intentional ones there are many less), climate change has a lot to do with its spread. Increasingly. Why is it interesting? Because this study is the first to apply formal climate fingerprinting techniques on a global scale to fire risk. That is, that figure of 11.66 more days of extreme risk in 44 years is achieved with the most advanced methodology that we have at our disposal. And if the global data is bad, the Mediterranean data (where the days have doubled in these almost five decades) they are horrifying. But it’s not all bad news. After all, as Turco points outdespite the increase in risk, the burned area has not increased proportionally. And the reason, according to him, is the improvement of the means of extinction. However, “when extreme conditions coincide with ignition, the resulting fires are more virulent and extensive.” Why is it news now? Besides because the article has just been published in Science Advances, because the precedent of 2025 (a rainy spring and a terrible summer) It resonates a lot with what we have in 2026. We don’t even have to remember that we are talking about a handful of months with truly incredible accumulated rainfall and that is generating an amount of material in the field that can easily be end up turning Spain black. Because the core of Turco’s work is that the conditions that allow fire to spread and become a big fire They are stronger than ever. Furthermore, human exposure to these types of fires is increasing: according to recent work in Cataloniabetween 42 and 138% for each area burned since 1992. The great debate of the future. As we have repeated on several occasions, there is no debate about the effect of climate change on increasing the risk of fire. The work is summarized in how much, how and where. Therefore, the central debate is another: what. What we do with the cards that nature is dealing us. And the truth is that there is a lot to cut: whether to bet on extinction or preventionif investing more in the landscape management or begin to integrate the entire territory into urban planning schemes more ambitious and extensive. Etc, etc, etc. The debate is endless and we are always late. Because what is clear thanks to Turco is that the distance that separates the spark from the megafire is increasingly shorter. Image | Mikhail Serdyukov In Xataka | In Ourense there are towns that fear running out of water in the middle of the rainy season. The reason: the hangover from forest fires

that an F-35 not only detects the enemy, but also gets rid of it on its own

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In 1991, during the Gulf War, a good part of the air missions depended on uploaded threat maps before takeoff and analyzes that could take hours to update after each departure. In the following years, the digital revolution allowed the integration of sensors, data links and information fusion systems that forever changed situational awareness in the cockpit. But even the most advanced fighters continue to carry a legacy from the past: they react to what they already know better than to what has just appeared. Until now. From advanced sensor to autonomous hunter. For years, the F-35 has been presented as a platform able to see everything thanks to its fusion of sensors and to your powerful suite of electronic warfare, but was still dependent on pre-loaded threat libraries and updates that could take days or weeks. The appearance of unknown emissions or radars operating in unforeseen modes required identifying the signal, downloading the data after the mission and reprogramming the system before the next flight. That logic, although effective, left a dangerous margin in scenarios saturated with changing air defenses. With Project Overwatchthe United States has taken a decisive step to close that gap and transform the role of the F-35 on the battlefield. AI enters the cabin. Lockheed Martin has tried successfully in flight a model AI integrated into the system of the F-35 combat identification, one capable of resolving ambiguities between emitters and generating an independent identification that appears directly in the viewfinder of the pilot’s helmet. During testing at Nellis, the algorithm not only distinguished dubious signals, but allowed label new emissionsretrain the model in a matter of minutes and load the updated version within the same planning cycle. The information from the classic system and that from the new model coexisted on the screen, reducing latency in decision-making and relieving the pilot of part of the cognitive load in an environment where every second counts. The big problem. It happens that modern air defense systems they no longer broadcast always the same signature. They can alter radar modes, frequencies and patterns to confuse enemy electronic warfare, as seen with variants of the S-300/SA-20 that operated in unforeseen configurations and generated doubts in identification. Until now, the plane pointed out the anomaly, but the in-depth analysis depended on a subsequent human cycle. Plus: in an environment where the proliferation of AI also accelerates the evolution of defenses, that dependency could become a vulnerability. And this is where cognitive electronic warfare appears, which seeks precisely to break that bottleneck and react to unprecedented signals. without waiting to the next mission. The “holy grail” of aerial combat. If you like, Lockheed Martin has achieved the “holy grail” of combat in tests: that an F-35 not only detects the enemy, but also how to get rid of it on your own. The ultimate goal of cognitive electronic warfare is to the system is not limited not only register an unknown threat, but analyze it, determine the best response and adjust its own parameters in near real time, even in the middle of combat. This involves detecting a new release, characterizing it, deciding whether to avoid it, interfere with it, or exploit a weakness, and update the threat library without immediate external intervention. In this scenario, the plane stops being a simple executor with predefined software and becomes a platform that learns and adapts your survival on the go. Towards mid-flight updates. It will be the next step. Previous experience with rapid updates of the Aegis system on US ships and the effort to shorten F-35 reprogramming times from months to days, and eventually hours, point to an architecture where data flows almost in real time between platforms. They count at Lockheed Martin that the ambition is for the improvements derived from a mission to be quickly integrated into other aircraft or even into compatible naval systems, creating a defense ecosystem that evolves in a distributed manner. While the Block 4 package promises a new generation of electronic capabilities, Project Overwatch It already anticipates a deeper transition: that of the fighter that not only sees and shoots first, but also learns before anyone else and survives on its own. Image | RawPixel In Xataka | Europe has asked its military experts how to become independent from the US for the next war. The answer is déjà vu: the F-35 In Xataka | The Netherlands has just activated panic in Spain and the US allies: the F-35 can be “released” like an iPhone

TCL will make Sony’s next TVs in a deal to confront a common enemy: Samsung and LG

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If you have felt an earthquake and you don’t know where it is coming from, the easiest thing is for it to come from Japan. Specifically, from the headquarters of a Sony that has been associated with excellence in image quality for decades and that ends of ceding control of its Bravia brand to the Chinese company TCL. Since the time of Trinitron technology (so currently sought after to play on retro consoles) until Wega and the current Bravia, the Japanese giant had earned a deserved space in the premium range. They did not manufacture their panels (they bought them from Samsung and LG), but they did fine-tune them to offer very purist cinematic experiences. On the other side of the pond, in China, TCL has grown in recent years until it became one of the largest panel manufacturing companies. Now, China and Japan are joining their paths thanks to a joint venture that will take advantage of “the high-quality audio and image technology that Sony has cultivated over the years.” And the accounts are favorable for TCL: while the Chinese will control 51% of the joint-venture, the Japanese will keep 49%. It makes… quite a bit of sense. Movement that sounds more like a win-win than a retreat Although Sony televisions have extremely high-quality panels and modes that are very suitable for both movies and, above all, for video games in conjunction with a PlayStation 5the market has become increasingly complicated. Sony’s brand value and its name make its televisions more expensive than those of the competition, and that competition (led by Samsung or LG), is tighter than ever thanks to its OLED and QD-OLED technology. TCL is not far behind. After a huge investment in plants within China, the company has specialized in manufacturing Gen 10.5 panels. This implies that they have an enormous production capacity, which in practice translates into an ability like few others to flood the market with large-inch televisions at rock-bottom prices. That’s where this joint venture makes perfect sense. In its statement, Sony has confirmed that the company will operate globally and carry out the entire process: development, design, manufacturing, logistics, sales and customer service for both televisions and home audio equipment. We believe this strategic partnership with Sony represents a unique opportunity to combine the strengths of Sony and TCL – Du Juan, President of TCL Electronics That name of ‘Sony’ and ‘Bravia’ is a perfect opportunity for a TCL that will see how it can operate a brand of international prestige. For its part, Sony gains muscle that it did not have until now thanks to the most powerful companies when it comes to producing large-scale panels. Of course, apart from that 51% over Sony’s 49%, and the possibility of using its name, TCL gains something else: penetration in Japan, a protectionist market that prioritizes Japanese brands, especially against arrivals from China. The Japanese company has commented that it will be at the end of 2026 when the binding agreements between the two will be closed in order to begin operations in April 2027. And although this is an interesting operation as a whole, TCL is the clear winner: it gains premium credibility without having to build it from scratch, while Sony dilutes precisely what made its brand valuable. Images | TCL, Xataka In Xataka | The next big chip crisis is beginning. And this time copper and water are responsible.

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