aims

DeepSeek no longer wants to compete only with models. Its new front aims directly at NVIDIA’s business, according to Reuters

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In just over a year, DeepSeek has stopped sounding like a rarity in the Chinese industry to become one of those names that already appear every time we talk about the global race in artificial intelligence. First we look at it for its models, for its efficiency and for the shock it caused beyond China. Now the question begins to move to another terrain: what happens when a company that competes in software understands that the next advantage may be in the chips that make it possible to execute that AI on a large scale. The jump to hardware. The information that opens this new front comes from Reuters. The agency assureda, citing three people familiar with the matter, that DeepSeek is developing its own artificial intelligence chip, aimed at inference tasks and not training new models. We will see the technical nuance immediately, because it changes the reading of the movement quite a bit. For now, caution is mandatory: DeepSeek has not publicly confirmed the project would be in an early phase and the company did not respond to the agency’s request for comment. The key is in inference. The easiest way to understand this is to think about what happens after training. Once the model is built, every question we ask and every answer we receive requires putting it to work again. It is not an isolated operation, but a routine that is repeated millions of times if the product works. That is why a chip designed for that phase does not aim so much at technical prestige as at something more earthly: making using AI cheaper, faster and less dependent on third parties. The move is best understood if we look at what DeepSeek has depended on so far. The company has used chips from NVIDIA and Huawei to train and run its models, including the base that held R1, trained on NVIDIA H800a chip designed for the Chinese market whose export to China was banned by Washington at the end of 2023. Since then, DeepSeek has increasingly relied on Huawei: In April it launched its V4 model adapted to Ascend and Huawei said its processors were used in part of V4-Flash training. DeepSeek is no longer a footnote: Until not so long ago, the global debate on AI seemed to revolve almost entirely around American companies such as OpenAI, Google, Microsoft, Meta or Anthropic. DeepSeek changed part of that conversation by demonstrating that China could also produce models capable of circulating outside its domestic market and force the industry to look towards Hangzhou. Recall that the company was widely celebrated in China as a national AI champion. The trend is already seen in a good part of the sector. Google has been developing its TPUs for years, Amazon has Inferentia for inference payloads, Microsoft has Maia and Meta works at MTIA. Reuters also cites two recent movements especially close to the case: OpenAI announced its Jalapeño chip with Broadcom in Junealso oriented to inference, and Anthropic was considering designing its own chips. The pattern is quite clear: large AI companies want to rely less on third-party providers and better control the cost, performance and availability of the computing that powers their services. The big obstacle is manufacturing it. Designing a competitive chip is not the same as wanting to have it. Developing an AI accelerator typically requires years, a lot of capital, and a network of design, foundry, and memory partners. For a Chinese company, furthermore, the problem does not end at the technical level: US export controls limit access to the most advanced foreign factories and also to high-bandwidth memory, a key component for this type of chips. Times change. NVIDIA arrived at the AI ​​boom with an advantage built over decades: in 1999 it launched the GeForce 256, presented by the company itself as the industry’s first GPU, and in 2006 launched CUDAthe architecture that helped take the parallel processing of its chips beyond graphics. When the models started requiring massive amounts of compute, I already had the hardware and ecosystem in place. For years, for much of the industry, competing in AI meant going through its chips. What the DeepSeek case suggests, with all caution, is that this dependency is beginning to have cracks. Images | Xataka with Nano Banana In Xataka | Samsung earns 19 times more than a year ago. Investors have reacted by sinking the stock 7%

Nvidia’s solution to reduce water consumption in data centers to zero aims to be genius: use hot water

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Nvidia has announced a system of liquid cooling very special. Above all, because the concept of “refrigeration” is a bit confused here. The company has managed to reinvent this type of systems, and according to those responsible “the challenge of water consumption for data centers it is practically solved.” That’s saying a lot… or isn’t it? Jacuzzi cooling. The own Nvidia engineers They begin the description of their system by talking about how in jacuzzis the water is usually between 38 and 40 ºC, a temperature that makes most people last about 15 minutes in them. And the funny thing is that Nvidia’s new AI servers can use liquid cooling with water that is even hotter: up to 45ºC (113ºF). That is precisely the key to making the entire system efficient. Goodbye to fans. Nvidia’s new Rubin architecture claims to be the first in the world with an end-to-end liquid cooling system. At Nvidia they seal the server boards and eliminate noisy fans that shoot noise levels above 85 decibels. Elementary physics. The concept behind this idea is counterintuitive, but also brilliant. The chips generate so much heat that a liquid composed of 75% water and 25% propylene glycol entering at 45ºC is capable of absorbing the thermal load dissipated by these chips. The fluid absorbs that heat and ends up leaving the circuit at around 55ºC without the performance of the processor degrading at all. Good for 45ºC. The key is that Nvidia starts from that starting temperature of the water, which is 45º. In a liquid cooling circuit in PCs, the liquid is usually between 25 and 30 ºC. Here Nvidia manages to ensure that with this initial temperature the thermal difference with the outside air is high enough for the system to work passively in most temperate climates. The heat is expelled by gigantic external radiators. Water is only needed on the first fill. Even more interesting is the fact that this water circuit only needs to be filled once for the entire useful life of the plant, at least in theory. This eliminates traditional systems that use evaporative cooling towers. These systems consume enormous amounts of water, and according to Nvidia this makes it possible to cut water consumption of data centers by almost 100%. But. Although Nvidia’s idea is promising, the company only talks about what happens within the four walls of data centers. The impact internally in the data center is extraordinary, but what about outside? The problem, they explain on TechCrunchis that data centers they need a lot of energyand both the generation of that energy and the creation of the chips themselves used in data centers can fold either triple to the consumption of the data center itself. The gas and coal bill. Although renewable energies are increasingly covering a greater part of the needs in these data centersthe use of coal and natural gas will continue to be very notable in these facilities. According to the International Energy Association (IEA), these two sources will continue to represent 40% of the total used in AI data centers until at least 2030. And the generation of both types of energy requires vast quantities of water: natural gas plants they use 1.17 liters of water for every kWh of electricity they generate. Coal ones are even worse, requiring 2.2 liters per kWh. Good news, but not so good. The system devised by Nvidia can solve the problem within data centers and is even promising when it comes to reduce noise levels generated by these facilities. However, there are still equally important challenges to ensure that water consumption in other phases of this cycle is not so colossal. It is a good step, without a doubt, but the room for improvement is still notable in this area. In Xataka | Jensen Huang has taken a look at the idea of ​​putting data centers in space and has come to one conclusion: let’s not freak out

Mercedes believed that the new electric motor in its AMG GT was “barely feasible.” Now it aims to be the future of all electric vehicles

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A few days ago, Mercedes finally announced the start of serial production of your axial flux motor at the historic Berlin-Marienfelde plant. This has serious implications for the future of electric cars, as the technology that powers this engine promises to redefine what a high-performance electric vehicle can do. That is why under these lines we are going to tell you all the details. What exactly happened. On June 9, Mercedes confirmed the start of serial production of this new engine in Berlin-Marienfelde, the historic factory founded in 1902 that has now been converted into the center par excellence for the brand’s high-performance electric motors. The first production model to debut is the new Mercedes-AMG GT 4 Door Coupea car that has also been left in the background in the conversations of recent weeks due to Ferrari and its first electric, Luce. However, this new vehicle will be the very first host of Mercedes’ new axial flow engine, which enters large-scale industrial manufacturing in a 30,000 square meter plant, three pavilions and seven production lines. Why is this engine different?. The vast majority of current electric cars use radial flux motors. In these, the magnetic field goes from the center outward, like the spokes of a bicycle wheel. In an axial flux motor, this field runs parallel to the axis of rotation, which allows the internal components (rotor, stator, etc.) to be coupled in flat layers facing each other, something like a sandwich. This arrangement makes the engine much more compact and lighter for the power it is capable of generating. Where does this technology come from?. The story begins in 2009, when engineers from the University of Oxford They founded the British company YASA with the aim of developing axial flux electric motors. Before arriving at Mercedes, YASA already supplied its engines to manufacturers such as Ferrari, Koenigsegg and Lamborghini. In 2021, Mercedes acquired the company seeing the potential these engines could have in their future AMG models. From there, the challenge was to transfer this technology from the laboratory to the mass production chain, something that, according to the company itself“for a long time it was considered barely feasible due to its complexity.” Figures. In its development phase, YASA presented an engine weighing just 13.1 kilos capable of generating 550 kW, which is equivalent to 738 HP, with a power density of about 42 kW per kilogram. It is no small feat, since if we compare these figures to those of the best radial engines, it practically doubles them. In more recent iterations, that same concept, weighing only 12.7 kilos, reached 750 kW of peak power, close to 1,000 HP. What comes out of those production lines. The AMG GT 4 Door Coupé mounts three axial flux motors grouped in modules called High Performance Electric Drive Units, which integrate motor and reducer in the same housing. One is on the front axle, less than 9 centimeters wide, and two on the rear axle, just 8 centimeters wide. Despite these dimensions, in its most powerful version (the AMG GT 63) the set adds 1,169 HP and 2,000 Nm of torque, with acceleration from 0 to 100 km/h in 2.1 seconds and a maximum speed of 300 km/h with the specific high-performance package. The challenge of manufacturing it. Making this engine in series has required processes that did not exist before. And just as account Mercedes in its official publication, of the 98 stages that make up manufacturing, 65 are used for the first time within the Mercedes group and 35 are completely unprecedented worldwide, generating more than 30 patent applications. According to the brand, one of the most technically demanding steps is what the factory calls “the wedding”, the moment in which the stator is placed between the two magnetic rotors. The magnetic forces are equivalent to about 900 kilos, and the margin of error allowed is less than a tenth of a millimeter. To do this, a control algorithm sends adjustments in the last 0.5 seconds of the process to ensure alignment. Mbeyond the AMG GT. The axial flux engine has not arrived in Berlin just to power an electric supercar. From Autoblog they point out that, given its compact and modular design, the technology is easy to adapt to different platforms. The usual industry logic also applies here, as when production volumes increase, costs fall. So there is hope that these types of engines will end up reaching more accessible models in the future. We will have to wait to find out if it really ends up being like this. For now, ArenaEV point to the CLA as a possible future candidate. It should be noted that Mercedes is not the only one working on axial flux engines, but it is the first to bring them to mass production in a series vehicle. Manufacturers such as Ferrari, BMW, Koenigsegg or Alpine are already investigating this technology. After all, electric cars are heavy by nature, so a lighter and more compact engine helps offset that burden without sacrificing performance. Tim Woolmer, CEO and founder of YASA, affirms that this technology “will change the game in the high-performance automotive sector.” We’ll see if it ends up being that way. Cover image | Mercedes-Benz In Xataka | Michael Leiters, CEO of Porsche: “We rushed with the Taycan, a 911 will never be an electric car”

NASA just passed a milestone with the X-59. What comes next aims to change commercial aviation

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Commercial aviation has been pursuing a difficult promise for decades: flying faster than sound without making that progress a problem for those on the ground. The obstacle is not only the speed, but the shock waves that generates a supersonic aircraft and that can be perceived as a sonic boom. He X-59 was born to test an alternative: reaching those speeds with an acoustic signature that NASA hopes will be much more discreet. NASA is not yet talking about commercial routes, but it is about a step designed to address one of the great barriers to this type of flights. The most recent advance came last Friday, when the X-59 exceeded the speed of sound for the first time during a test flight within the Quesst mission. According to NASApilot Jim “Clue” Less took off and landed at Edwards Air Force Base, California, on an 81-minute mission. The plane reached an approximate maximum speed of Mach 1.1, which the agency places in this flight at about 1,150 km/h, at an altitude of about 13,200 meters. It was an important milestone, but still within a testing phase focused on testing its flight qualities. The test of the most discreet supersonic flight enters its decisive phase The important thing, therefore, will not only be what happens inside the plane, but what is heard from below. Quesst is designed to demonstrate a technology capable of softening this phenomenon until it becomes a lighter sound knock. The next part of the plan involves flying over American communities and collecting the reaction of people exposed to that sound. The agency will then share those results with national and international regulators to inform future data-driven noise standards. That is why the first supersonic flight is not an arrival point, but rather the beginning of a more demanding phase. The next step will come in the following days: a first test in “mission conditions”, with a cruising speed of Mach 1.4, which NASA places around 1,490 km/hand an altitude of about 16,800 meters. The data matters because these are the basic conditions that the agency contemplates for future flights over inhabited areas in the United States. Before asking people what they have heard, the aircraft has to demonstrate that it can operate stably in that regime. Behind the X-59 there is not just a striking shape or an isolated commitment to recover supersonic flight. NASA remembers who has been studying this field for more than seven decades, with special attention to the noise associated with these flights and ways to make it more discreet. The Quesst mission combines advanced simulations, wind tunnel testing, schlieren photography and computational fluid dynamics to anticipate how the air around the aircraft behaves. The current phase has to verify something very specific: whether this entire design works in flight with a full-scale supersonic aircraft. The ultimate goal is not for the X-59 to end up transporting passengers, but for its data to help open a door that has been practically closed for decades. The information collected will be shared with national and international regulators to contribute to news noise standards based on data, not just the historical experience of the large noises associated with supersonic flight. The agency also plans to provide design tools and technology for future quieter supersonic aircraft. If the plan works, manufacturers would have more confidence to explore commercial concepts capable of flying fast without disturbing the ground as much. As we can see, the X-59 has crossed an important line, but the Quesst mission still has its most relevant tests ahead. First you will have to get closer to the conditions planned for these test flights over inhabited areas, and then you will come to the verification that really matters for the future of the program: knowing if that sound shock is acceptable. A good part of the value of NASA data will be played there. Images | POT In Xataka | Airbus has just made the most autonomous commercial aircraft in the world fly. Your goal: 22 hours straight without a stopover

aims to automate almost everything

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For years, when we talked about robots serving people, Japan almost always appeared in the foreground. Now the focus has shifted. The race to bring robotics and artificial intelligence to everyday life has accelerated, and China has just put a striking proposal on the table: a hotel where reception, delivery, cleaning or surveillance are left in the hands of machines. They assure that it will be the first of its kind in the world. The signature. Shenzhen Culture and Tourism and Pudu Robotics, a Chinese company specializing in commercial service robots, announced on May 31 an agreement to build this hotel on the western artificial island of the Shenzhen-Zhongshan link. The two parties present it as an establishment where the machines will not only be there for a specific demonstration, but to cover real day-to-day tasks. The place is not coincidental. The hotel is projected on the western artificial island of the Shenzhen-Zhongshan link, a piece built in the waters of Lingdingyang within an infrastructure of about 24 kilometers. The context helps understand the choice. This city, today converted into a huge technology center, had been just a few decades before a small fishing town north of Hong Kong. The island officially opened to the public on December 29, 2025 after a test phase with almost 10,000 visitors. The promise. The project wants to cover the most visible tasks and also some of the ones that we normally don’t see as much. According to official information, the robots would be in charge of receiving guests, guiding them with luggage, bringing food, serving rooms, cleaning, security patrols and accompanying or interacting with visitors. Pudu completes the picture with more catalog examples: machines capable of transporting heavy loads or coordinating services from automated points. The calendar. The company places the first visible step at the end of this year, with a test that would open some rooms and robotic services to the first guests. Then would come the rollout in phases, with the goal that the hotel can receive visitors at the beginning of 2027. It is an ambitious roadmap, but we are still at that delicate point in which the announced deadlines must become real operations. The difference they want to make. The most relevant technical point is not in the number of robots, but in how they are organized. Pudu maintains that its system allows different types of machines to operate on the same intelligent basis, with PuduFM 1.0 and PuduAgent as proper names for that architecture. The promise is that there are no individual pieces solving isolated problems, but rather a common layer capable of coordinating the service. The Japanese mirror. The idea of ​​a hotel staffed by robots is not born from scratch. Guinness World Records recognizes to the Henn-na Hotel Nagasakiopened on July 17, 2015 inside the Huis Ten Bosch park, as the first hotel staffed by robots, albeit with some human helpers. There were humanoids at the reception, an industrial robot to sort luggage, machines for domestic tasks and even a robotic dinosaur to serve guests in English. The problem came later: Business Insider picked up in 2019 that the hotel reduced more than half of its robotic workforce after not reducing costs or workload. Images | Pudu Robotics In Xataka | Anthropic’s AI already writes 80% of its own code because it was inevitable that AIs would improve themselves

The Chuwi Unibook is the $450 Windows laptop that aims to take down the MacBook Neo. The problem is not the specifications

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The Chinese manufacturer Chuwi has given the surprise with the presentation of its Chuwi Unibook, a mid-range laptop that surprises with its price of $449 and that has undoubtedly been created to compete with the new rival to beat: the MacBook Neo from Apple. The truth is that on paper the proposal seems really attractive, but the problem is precisely that: that this computer, like all those that will soon appear based on Windows with similar specifications, will have to comply with what is important. The user experience will be everything. The MacBook Neo still has no response. The PC industry was used to not having too many concerns in the mid-range. The manufacturers had accommodated themselves and proposed proposals without much ambition, modest but functional. Then came the MacBook Neo from Apple and revolutionized the sector: For the first time it was possible to access the Cupertino laptop ecosystem and its experience for a much more affordable price. There are sacrifices to the MacBook Neo, of course, but the device’s appeal is evident to many users. Apple has the A18 Pro, Intel has Wildcat Lake. The striking thing about the MacBook Neo is that Apple demonstrated that the iPhone chip was more than enough for a mid-range laptop. To compete with it, Intel has launched a new family of low-cost processors called Wildcat Lake. These chips, made with Intel 18A photolithography, are promising, and according to some benchmarks one of their variants It is 21% more powerful than the Apple A18 Pro of the MacBook Neo. The spec sheet rocks. If we look at the pure specifications of the Chuwi Unibook, the difference is notable. The equipment is not only cheaper, but it surpasses the Apple model in almost everything. For example, it has a theoretically more powerful processor, keyboard backlighting, better connectivity and more battery. The sacrifices required by the MacBook Neo are fewer sacrifices in this equipment. On paper, the Chuwi Unibook is really promising. On paper. Source: VideoCardz Project Firefly. Intel’s Chinese division recently announced this initiative. With it, they hope to help manufacturers reduce manufacturing complexity by offering reference designs that reduce production costs. Intel has already done things like this in the past (I’m sure many of you will remember both the Centrino branding and its Ultrabook program), and the idea here is precisely to provide certain tools to manufacturers to develop more competitive models in a market. shaken by the Apple model. Manufacturers wait their turn. The launch of Intel processors from the Wildcat Lake family has caused several manufacturers to begin announcing laptops based on these chips. Lenovo is already preparing some models IdeaPad Slimand so much Asus as HP They also prepare their plays. The Chuwi Unibook seems to be just another variant of those proposals, and in all of them the specifications, although modest, seem to surpass those of the MacBook Neo. Lots of advertising, little real product. Almost all major manufacturers have shown their intention to develop mid-range laptops that compete with the MacBook Neo in that price range. The announcements have been varied, but none of them have communicated the price or availability date of these devices, probably because everyone is waiting to see how the memory crisis evolves. It is reasonable to think that the imminent Computex fair is the perfect occasion to definitively present all these proposals. But. The problem with the Chuwi Unibook, like that of other manufacturers waiting their turn, is not the specifications. The problem will be the benefits and above all the real experience that these teams offer. Windows PC manufacturers have not done well with cutting features in the past, and if that experience is not good we could witness a new phenomenon like netbooks: affordable equipment, but too limited and that ended up condemned to oblivion. In Xataka | “We arrived too soon, but we were right”: The MacBook Neo is everything Microsoft dreamed of with the disastrous Windows 8

The next Mercedes-Benz model aims like a missile to fully enter the war

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In the middle of World War II, while Allied bombing destroyed German factories and consumed resources at an impossible rate, many plants that until then manufactured cars, engines or civil machinery began to transform hurriedly to produce military vehicles, aviation parts and weapons. Some of the most recognizable brands in the European automotive industry they then discovered something that decades later resonates strongly again: in times of geopolitical tension, an assembly line can change purpose much faster than it seems. The unexpected twist, or almost. For decades, the future of the European automobile seemed to come down to a single discussion: electric, hybrid or gasoline. However, the German industrial crisis and the accelerated rearmament of Europe are opening a possibility completely different. Mercedes-Benz, like before Volkswagenhas just made it clear that it is willing to enter the defense industry if the business makes economic sense. This has been confirmed through an interview in the Wall Street Journal of its CEO, Ola Källenius, and it is much more important than it seems because it reflects a profound change within the German automobile industry: the big brands are no longer only looking at the car of the future, they are also beginning to look at war as a new industrial opportunity. In a Europe increasingly obsessed with drones, missiles, air defense and military production, car factories are beginning to be seen not only as car plants, but as possible centers strategic manufacturing. The perfect storm. The context explains why this idea is beginning to seem reasonable even for companies historically far from the military business. The German automobile industry is going through one of its most delicate moments in decades: falling profits, pressure from Chinese manufacturers, high energy costs, lower European demand and tariff threats from the United States. Mercedes-Benz, for example, suffered a strong profit drop in 2025, while practically all major German manufacturers have announced cuts or adjustments labor. At the same time, the defense industry is experiencing exactly the opposite situation. European rearmament after the war in Ukraine has fired orders, investments and military contracts to historic levels. For many German industrial companies, the military sector is beginning to represent something very different from a marginal business: stability, growth and guaranteed public financing for years. From cars to artillery. The case of Mercedes is not isolated and we have been counting. Volkswagen is also exploring possible military collaborations as defense companies such as Rheinmetall study reuse factories of automobiles or absorb part of its industrial infrastructure. The message is clear: Europe is beginning to discover that many capabilities necessary to produce modern cars (advanced metallurgy, electronics, robotics, complex logistics chains or highly skilled workers) are also extremely useful to manufacture systems military. The border between both industries begins to fade little by little. It is no longer just about producing tanks or ammunition, we are talking about radars, drones, autonomous vehicles, electronic systems and air defense platforms that require technologies very similar to those of the modern automobile. The new European war economy. As we said, the ukrainian war It has caused an enormous psychological change within Europe. For years, much of continental industry assumed that globalization and stability made a large military capacity of its own unnecessary. Now the opposite happens: European governments are increasing defense budgets at speeds not seen since the Cold War. This transformation is pushing traditionally civil companies to reconsider their role within the new geopolitical context. The CEO of Mercedes himself insist that any military activity would remain dwarfed by its core business, but at the same time recognizes something revealing: can become a growing and profitable niche. That is to say, the German automobile industry is beginning to assume that part of future European growth could come directly from rearmament. The car of the future may not be a car. If you like, the most striking thing of all is the symbolism of change. For a long time, the automotive debate revolved around batteries, autonomous driving and sustainability. Now, some of Europe’s most iconic companies are beginning to speak openly on anti-drone defensemilitary production or collaboration with weapons manufacturers. The idea that the next big European industrial business could be closer to war than sustainable mobility would have seemed absurd just a few years ago. However, the combination of economic crisis, Chinese competition and continental rearmament is slowly pushing giants like Mercedes-Benz itself into completely new and unexpected terrain. And that reveals the extent to which Europe is entering a stage where the economy, industry and security are beginning to mix more and more. Image | Nara, RawPixel, Julian Herzog In Xataka | Europe wants to make more weapons and faster. Your biggest obstacle is not money: it is finding qualified welders and technicians In Xataka | In the midst of rearmament, Spain has just surprised Europe: 5,000 million for 34 warships and four submarines

“Slaughterbots” are no longer science fiction in Ukraine. Russians wear masks to avoid the drone that aims at their heads

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A few years before the start of the war in Ukraine, a Berkeley computer science professor presented at the UN a short called “Slaughterbots”a piece where small drones with facial recognition chased people autonomously. Many saw it then as another technological exaggeration in the style of the Black Mirror series. A few years later the short… has fallen short. Drones that search for tanks, search for people. For much of the Ukrainian war, drones were seen as a support weapon intended to destroy armor, correct artillery fire or monitor enemy movements. That phase has gone disappearing quickly. What is now emerging is something much more disturbing: cheap drones, produced by the millions, designed specifically to hunt down and kill soldiers. individually. They counted in Forbes that the Russian military channels themselves they are warning of Ukrainian FPVs equipped with thermal vision, reconnaissance systems and munitions capable of firing explosive projectiles at a distance directly against a human body. The detail that is generating the most fear is not the weapon itself, but the possibility that these drones are already learning to identify Where to hit to maximize lethality. The idea of ​​small autonomous devices “hunting” specific people no longer belongs to technological dystopias or viral YouTube videos: it is beginning to form part of the front line’s routine. A gigantic aerial hunting area. The most profound consequence of this revolution is that huge parts of the front have been transformed in “kill zones”those corridors where any human movement can be detected and destroyed from the air in a matter of minutes. Ukraine has especially perfected this model around cities like Kostyantynivka or Chasiv Yarwhere small Russian groups are identified long before approaching the defensive lines. The result has been devastating for classical Russian doctrines: large armored columns and mechanized assaults have become too visible and vulnerable. In response, Moscow is trying to create their own “drone racers”infiltrating small teams of operators hiding in basements, destroyed buildings or tree lines to build temporary bubbles of local air dominance. In other words, war is no longer just about controlling the terrain, it is about controlling the sky just a few meters above each soldier’s head. The true technological leap. The most important thing about these new systems is not the size of the explosive charge, but intelligence that begins to guide them. Many Ukrainian FPVs already integrate autonomy modules capable of continuing the attack even when the operator loses signal due to electronic interference. Western companies and civilian developers have created relatively inexpensive kits that turn commercial drones into smart munitions capable of automatically locking on and pursuing targets. Until recently, that autonomy was mainly used against vehicles; now the focus shifts to the infantry. Some models use EFP loadsformed explosive projectiles that do not need to hit directly to penetrate protection and kill the target from a distance. That eliminates many of the defenses improvised measures that had proliferated on the front, from metal nets even the famous Russian “turtle tanks”. The problem for soldiers is that hiding no longer guarantees survival: the drone can continue observing, wait for the exact moment and attack when it detects vulnerability. “Slaughterbots” stopped seeming over the top. We said it at the beginning, in 2017 Professor Stuart Russell launched the short film “Slaughterbots” as a warning about autonomous drones with facial recognition capable of murdering specific people. At the time it seemed like a futuristic hype designed to open ethical debates about military artificial intelligence. Nine years later, the parallels are beginning to be uncomfortable even for those fighting on the ground. Russian soldiers develop countermeasures that seem straight out of a science fiction movie: using masks to confuse recognition systems, throwing helmets as decoys, hiding their heads behind obstacles or remaining completely still to avoid thermal tracking. Obsession reflects a huge psychological change. For centuries, a soldier could attempt to protect himself from enemy fire using cover, armor, or distance. Many fighters now feel that there is a camera constantly watching them from above, capable of deciding when to attack and possibly where to do it to ensure death. The industrial and algorithmic battle. The great Russian fear is that Ukraine will manage to combine mass production, autonomy and precision on an unprecedented scale. kyiv aims to manufacture millions of FPVs a year, and that completely changes the mathematics of combat. Whether a relatively cheap drone can chase soldiers with hit rates close to 80%human wear and tear begins to take on industrial dimensions. That is why Russia is desperately trying to build its own drone racersdeploy interceptors and saturate local airspace before moving larger troops. However, Ukraine maintains an advantage in both quantity and technological sophistication, especially in optics, autonomous navigation and aerial interception. What is being seen in the Donbas is not simply a tactical evolution of drone warfare: it is rather the birth of a new form of combat where thousands of semi-autonomous machines continually compete to detect, pursue and eliminate individual human beings. And the most disturbing thing is that this transformation is just beginning. Image | Defense Ukraine In Xataka | Satellite images reveal how much Russia fears Ukraine’s drones. 7,000 km away they are covering their nuclear missiles In Xataka | Ukraine has resurrected one of the oldest tactics of warfare. And he is isolating Russian cities without the need for soldiers

RAM aims to become even more expensive

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For years we have accepted that mobile phones were rising in price in exchange for better cameras, better screens, faster processors and, so to speak, increasingly refined designs. We have also begun to assume that on-device AI does not come free: it usually requires more power, more storage and more memory. The surprise is that one of the next blows may come precisely from there, from mobile RAM, a component that usually goes unnoticed, but is very present in the real cost of each smartphone that hits the market. The clearest signal comes from the LPDDR5Xone of the most relevant mobile memories on the current market and which was already coming from an unusual movement. According to TrendForce datathis type of report registered a quarter-on-quarter increase of between 58% and 63% in the first quarter of 2026. This is the largest quarterly increase in its history. What is striking is that this jump does not seem to have closed the cycle: the forecast for the second quarter points to an even more intense rise. If we focus on the forecast for the second quarter, the scale of the problem changes. A projection attributed to TrendForce, shared Jukan Choipoints out that mobile DRAM contract prices will grow between 93% and 98% in quarter-on-quarter terms during that period. In other words: we are not talking about one more increase in a stressed market, but rather a jump close to doubling the price in just three months. For the smartphone industry, a figure like this is not background noise. It should be noted that TrendForce works with paid reports aimed mainly at institutional investors, analysts and companies in the sector, so the full document is not openly available. The relevant part for this article has emerged through Choi, a semiconductor analyst at Citrini Research. The expert accumulates more than 100,000 followers on X and his comments have been cited by media such as The Economistwhich included them in an article about the impact of AI on consumer electronics. The impact on the price of RAM in mobile phones Here we are not talking about the price that a user sees when looking for memory in a store. Mobile DRAM is negotiated in another area: that of contracts between memory manufacturers, such as Samsung, SK Hynix or Micronand large customers who buy enormous volumes to integrate these chips into their products. This world is made up of mobile brands, server manufacturers and other OEMs. That is why the data matters: it does not describe a specific purchase, but rather the base cost with which the industry begins to manufacture its next devices. The rise doesn’t appear out of nowhere either. SemiAnalysis noted at the beginning of April 2026 that DRAM prices could more than double this year and record another double-digit increase in 2027. The same firm noted that the contract price of LPDDR5 had risen more than 3 times since the first quarter of 2025, and that it was likely to exceed $10/GB on the open market during the first quarter of 2026. That is, the second quarter does not inaugurate the tension: the accelerates. DRAM prices could more than double this year and see another double-digit increase in 2027. The backdrop is AI. HBM memory, key to powering the GPUs that power many artificial intelligence data centers, remains in a situation of structural scarcity and absorbs a good part of the sector’s investment. The consequence is easy to understand: if a good part of the money, productive capacity and attention of manufacturers is directed to that high-bandwidth memory, there is less margin to alleviate strain on other DRAM families. Among them is mobile memory, which now competes in a much more demanding supply chain. Added to this is another important detail: smartphone-class memory no longer lives only within the smartphone. NVIDIA uses LPDDR5X in its Grace and Vera processorsdesigned for AI-linked server systems. The reading for the mobile market is clear: a technology used in phones and compact devices is also part of architectures that compete for resources at the center of the race for artificial intelligence. The difference with the PC world helps to understand it better. If we build a computer, we can choose how much RAM to buy, look for an offer and install the module ourselves. It doesn’t work like that with cell phones: we buy a complete device, with the memory already integrated and no real margin to intervene later. That makes the rise of the LPDDR not seen directlybut it doesn’t mean it disappears. It is incorporated into the cost of manufacturing the phone and, from there, it can end up influencing the price we pay. Counterpoint helps convert that increase in price in a figure that is much easier to visualize. For a high-end configuration, with 16 GB of LPDDR5X HKMG and 512 GB of UFS 4.1 storage, the firm projected an increase in BOM between 100 and 150 dollars for the second quarter of 2026. We are talking about the cost of materials, not the sales price, so it is not advisable to mechanically transfer that figure to the consumer. Even so, it is a sign that does not go unnoticed. The bad news, therefore, is not that all mobile phones are going to increase in price automatically or in the same proportion. That will depend on each manufacturer.their contracts, their margins and how they configure each range. But the factor is there: if mobile memory becomes more expensive with this force, the cost of manufacturing a smartphone inevitably changes. And in a market that was already getting us used to increasingly demanding prices, RAM is emerging as another obstacle for those who expected a price drop in the short term. Images | PR MEDIA | Samsung In Xataka | Apple had been able to maintain prices despite the crazy rise in RAM. That’s over

It is the promise of a Chinese startup that aims to revolutionize the sector

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There is a whole world in this synthetic fuels. And it is no wonder, since whoever can develop a renewable fuel, without harming the environment and with elements that we have in abundance, has won heaven. And in this regard, there is a Shanghai startup that promises to have taken a significant step. And if his claims hold up, it could change the rules of the game. We tell you the details. Context. China imports more than 70% of the crude oil it consumes, and a considerable proportion comes from the Middle East. If you have been paying attention to this region of the planet in recent weeks, you will have seen that the thing is not very there. And at a time when conflicts in the Persian Gulf generate volatility in the markets and threaten energy supply chains, Beijing has been looking for alternatives to conventional fossil fuels for years. It is in this scenario where Carbonology emerges. What exactly has he announced. Just like share SCMP, the company, co-founded in 2024 by a former Tesla vice president, claims to have developed a process to convert carbon dioxide (extracted from air and water) into synthetic fuel using solar and wind energy. The products it claims to be able to manufacture include gasoline, diesel, aviation kerosene and naphtha, all of them at competitive prices with those on the market. The company also reportedly announced that it is preparing a deployment to produce its product on a large scale in China. How this technology works. The process the startup describes is based on direct air capture, known in the industry as DAC (Direct Air Capture). This technique consists of extracting CO₂ from the atmosphere and combining it with hydrogen, in turn obtained through electrolysis of water using renewable energies, to synthesize liquid hydrocarbons. The result is fuels that are practically identical to those derived from petroleum, but whose carbon cycle is closed: the CO₂ they emit when burned is the same as that captured to manufacture them. It is really not a new process, as it has been developed for years in laboratories around the world and There are pilot projects underwaysuch as the Haru Oni ​​plant, in southern Chile, promoted by companies such as Siemens and Porsche. What is still unclear. The bad thing is that Carbonology’s claims lack details. According to the mediuma company spokesperson confirmed the information but declined to offer more information on the matter. As SCMP shares, the company has a registered capital of just over 14 million yuan (about $2 million) and completed a first round of financing last year. In January it opened a 300 million yuan R&D center in Shanghai, along with a synthetic kerosene production line. In any case, the company recognized that its future commercial operations will probably have to be located near large solar and wind energy facilities in western China, since it is a process with high energy demand. A problem that persists. Synthetic fuels produced from renewables remain expensive. The medium refers to paper published in January 2025 in the journal Energy Conversion and Management, where some of the obstacles to its commercialization were identified, including high capital intensity, low energy efficiency in the conversion and absence of infrastructure and regulatory frameworks that allow its large-scale deployment. About Repsol. In Spain, the main company that has promoted renewable fuels in its gas stations has been Repsol, although the concept in this case is different. Repsol comes from a process that reuses used cooking oilremains of agricultural processes and forestry waste to develop its Nexa fuel, which is already sold in hundreds of gas stations in the country. However, the company is also studying the DAC technique to produce synthetic fuels. It does this through a cutting-edge project in the Port of Bilbao (Petronor). At the moment what they have is a demonstration plant, so we will have to wait to see if it has an outlet. for the car. That a Chinese startup barely a year old claims to have solved the cost problem that has blocked the entire industry is, at the very least, interesting, but there is a lack of data to support it. DAC technology exists and is maturing, but most of the CO₂ captured so far is stored underground, not converted into fuel. That the announcement was made under these circumstances is curious, to say the least. So we will have to wait to see if this project ends up materializing and fulfills what it promises. Cover image | ADIGUN AMPA In Xataka | 115 million barrels released and a fear on the horizon: that gasoline in Spain will go to €2/liter

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