Mobile Tech & Gadgets

Select the model to use between Claude, GPT, Gemini, Kimi, Grok or Sonar

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Let’s tell you how you can choose the artificial intelligence model What are you going to use with? Perplexity in a prompt. This is a chatbot known for allowing you to access many cutting-edge models from third-party companies, something it does automatically depending on the request you make. However, if you are going to use Perplexity, it is advisable to know one of its functions basic, being able to choose by hand which model you want to use. And yes, every time Google, Anthropic or OpenAI launch a new model of artificial intelligenceat Perplexity they are going to add it to their catalog. The results will not be exactly the same as if you use the paid versions of ChatGPT, Grok, Claude or Gemini, because Perplexity may modify them a little. However, you will be able to take advantage of the reasoning power of these models. Choose the AI ​​model to use in Perplexity To choose the AI ​​you want to use in Perplexity, you have to look at the box where you write the prompt. In it, you must click on the option AI modelwhich will appear with the icon of what appears to be a chip. It is to the far left of the series of icons that appear at the bottom right in the prompt writing field. When you click on that button, it will appear a list of all models of artificial intelligence that you can use. Both the best and the latest available from Gemini, GPT, Claude, Grok, Kimi or Perplexity’s own Sonar will appear. This is something that you can do in its web version or in its mobile or computer applications. Here, you should know that you can choose the model with each prompt within a conversation with Perplexity. Come on, you can ask a question with one model, and then ask the next question with another. Also, below the list you will see the number of queries you can make with the most modern models. In Xataka Basics | The best prompts to save hours of work and do your tasks with ChatGPT, Gemini, Copilot or other artificial intelligence

If the US attacks Iran like Venezuela, it will be a drain in both directions.

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In recent weeks, the United States has concentrated hundreds of aircraft and support assets around the Middle East, while commercial satellites captured unusual movements around the Iranian capital. That combination of deployments and repositioning It has raised tension and forced us to rethink calculations about what a direct collision would really entail. The temptation to copy Caracas. I remembered this morning the new york times that when Donald Trump compared an eventual offensive against Iran with the lightning operation which allowed Nicolás Maduro to be captured in Caracas, raised the idea of ​​rapid, surgical and decisive action. The problem is that the parallelism is quite misleading from its strategic basis. Venezuela offered a aging airspace and weakly defended, in addition to an accessible political objective, while Tehran is supported by a theocratic structure consolidated for almost half a century, a Revolutionary Guard of some 150,000 troops and a regional network of militias that can open multiple fronts. There is no “clean” or low-cost option, and any attempt to decapitate the regime would involve a sustained campaign with real risk of American casualties and regional escalation. And not only that. Satellite images. The latest images commercial flights from space through Airbus and Planet Labs have shown something that changes the calculus: the relocation of S-300 systems long-range around Tehran and Isfahan, accompanied by the Cobra-V8 electronic warfare in key positions south of the capital. This combination combines interceptors capable of hitting targets hundreds of kilometers away with powerful jamming capabilities in critical bands for radars, satellite links and designation pods, which points directly to the US “kill chain” before the missiles even enter their range. The signal is clear: Iran not only wants or can fire, it also wants blinddegrade and force attackers to operate closer and with greater exposure. A shield that complicates air attack. He S-300PMU-2with high-speed missiles and three-dimensional radars optimized for detect targets at low altitudesuch as drones and cruise missiles, constitutes the hard shell of the Iranian system, while the Cobra-V8 system seeks to erode and wear down the sensory advantage of American platforms like AWACS or even electronic suppression aircraft. Although there are doubts about the full integration of these systems and the absence of advanced fighters that act as overhead sensors, their deployment near the capital suggests an architecture designed to survive the first wave of attacks and force Washington to devote additional resources to suppression and electronic warfare. In other words, it is no longer just about dropping bombs, but about winning a previous battle in the electromagnetic spectrum. Missiles and multiple fronts. Added to this defensive armor is one of the missile arsenals wider Middle Eastwith medium-range systems capable of hitting US bases and allied cities more than 2,000 kilometersin addition to drones, anti-ship weapons and recent sea-based air defense tests in the Strait of Hormuz. In fact, it is entirely plausible that Iran could scale quickly through its so-called “axis of resistance”, activating Hezbollah, the Houthis or Iraqi militias to disperse the cost and expand the theater of the conflict. All this, of course, while threatening a road along which nearly a fifth of of world oil and gas. The logic, therefore, is dissuasive: any blow against Tehran would have an immediate echo in Israel, in the Gulf and in the planet’s energy trade. An indentation in both directions. The result of this equation is that the comparison with Caracas is diluted facing a scenario where the Iranian capital has become a strongly defended and electromagnetically contested space. The satellite images do not show a disarmed country, but one that has strengthened its core strategic in anticipation of a modern aerial suppression campaign. In short, if the United States plans to attack as he did it in Venezuelayou will not face an operational vacuum, but rather an environment saturated with missilesinterference and possible regional retaliation, a full-blown clash that threatens to become a combat with casualties in both directions from day one. Image | Airbus, Planet Labs In Xataka | If the US attacks Iran with drones, it will find a surprise: Russia has shielded its sky with an explosive weapon, Verba In Xataka | It is so small that it can barely be seen from space, but this secret island is the main problem for the US to attack Iran

Mercadona suppliers have invested 1.7 billion euros. That gives you an idea of ​​what a huge business it has become.

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when you want present your model Mercadona’s business strategy usually cites five pillars: “the boss” (the word used to refer to customers), its staff, society and capital. The fifth is his wide network of suppliers. That the Valencian chain includes them on that list is no coincidence. If it has managed to lead the sector until it has gained a business share that is already close to 30%, it is thanks largely to its bet on white labela wide catalog of articles impossible to articulate without a “industrial cluster” with 2,100 suppliers. As Mercadona grows they do it too, but that link is not free. In order not to lose step, they are forced to invest millions. One figure: 1.7 billion. The data has revealed it Expansion. Last year, Mercadona suppliers made investments in Spain and Portugal worth 1.7 billion euros. The figure is not only interesting for its volume, it is also interesting when put into perspective: it represents 31% more than the previous year, when the sum of investments amounted to 1,300 million. If compared to 2023, when ‘only’ 500 million euros were mobilized, the increase in investment is much greater, close to 240%. Of course, not all suppliers have spent the same nor do all the projects in which they have invested have to be 100% focused on Mercadona, although it is true that the chain is the main client of some of its suppliers. Who has invested the most? Mercadona has not yet presented its 2025 report, but we do have that of the previous yearwhich details the suppliers that mobilized the most investment and generated the most employment. At the head was Casa Tarradellas, which supplies Mercadona with ready-made pizzas and fuets for the Hacendado brand. In 2024 the Catalan company invested 104 million to build two new factories, dryers and production lines. The published data by Expansion show that in 2025 it once again led investment in the Mercadona supplier ecosystem, with the mobilization of 117.6 million. At the beginning of last year the firm presented a new mill for wheat flour in Gurb (Barcelona) that required 25 million of euros and throughout the year it also promoted a storage center of species. In 2024 Casa Tarradellas achieved increase 12% its profits to reach 38.4 million euros, consolidating the positive trend already registered in 2023. The result was largely possible due to the increase in income. An investment cluster. The list The greatest investment effort is completed by companies such as Vall Companys (70 million euros), Incarlopsa, Avinatur, Essity and Cañigueral, all four with investments close to 60 million, Covap (42.5 million) and Entrepinares (27 million). Names such as Familia Martínez, Huevos Guillén (50) and Elaborados Naturales (40) also stand out. Not all of that money has had to be allocated to projects focused on supplying Mercadona, but a review of the reports deposited in the Commercial Registry reveals that the supermarket chain has become the main client of its suppliers. In some cases the company founded by Roig actually represents more than 50% of all his income. “Joint planning”. The data is interesting because it does not only tell us about the resources that Mercadona suppliers have dedicated to strengthening their infrastructure and productivity. It also suggests that these companies are forced to make this effort to keep up with the Valencian chain, which in 2024 increased its turnover by 9%, to exceed the 38.8 billion euros. Looking ahead to 2025, it expected to continue growing and reach 40.1 billion. Although Mercadona has not yet presented its report for the past year, we do have studies that show that it has achieved increase your quota of business, moving away from rivals such as Carrefour or Lidl. As its sales grow and its catalog of private labels and ready-to-eat foods triumphs, the Valencian firm needs to rely on its “industrial cluster” of suppliers. Hence the urgency for them to strengthen their production capacity. “These investments are possible thanks to trust and joint planning,” they explain from Mercadona when remembering the 1.7 billion mobilized. Investment… and something more. That these companies are willing to dedicate millions and millions of euros to modernize their facilities, gain production capacity or expand is explained by a very simple reason: keeping up with the Valencian chain has become quite a lucrative business. Recently Five Days he wondered how the companies that supply it with products are doing and, after investigating the Commercial Registry, it found out that in 2024 the 20 main suppliers of the chain increased their sales figures by 18% to exceed 12,000 million euros. In total, aggregate profits grew by 5%, exceeding 360 million. Curiously (or not) at the top in billing volume were Casa Tarradellas, Incarlopsa, J García Carrión and Covap, with sales increases ranging from 12 to 29% between 2022 and 2024. Images | Mercadona and Wikipedia In Xataka | Mercadona and the rest of the supermarkets have realized something worrying: they spend a million dollars on printing paper

Amazon is discounting high-end mobile phones, sound bars and more with discounts of more than 40%: the best deals today

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Amazon has become one of these online stores that we first turn to when we want to buy something. If you are looking for deals on technological devices, these are the best technology deals on Amazon that we found today, February 24. WiFi 6 system Cudy ZX3000 2 by 122.19 euros: Allows you to connect up to more than 200 devices. smart plug Tenda Beli SP3 by 5.99 euros– Compatible with Alexa and Google Assistant. sound bar Ultimea Poseidon D60 by 171.47 euros: with a power of 410 W and Dolby Atmos. Wireless headphones Google Pixel Buds Pro 2 by 149 euros: with noise cancellation and up to 30 hours of autonomy. smartphone Huawei Pura 80 Pro: 6.8 inches and with telephoto lens. Cudy ZX3000 2 WiFi 6 System Nowadays, having a good Internet connection at home is essential since we have a multitude of devices connected (mobilestablets, computers, smart TVs and even some appliances). To receive the best signal, a good WiFi 6 system is a solution. Now, on Amazon you can get this one on sale cudy ZX3000. It has gone from costing 229.90 euros to 122.19 euros. Its 2.5 Gbps multi-gigabit WAN port offers Ethernet speeds, ideal for Internet connections faster than 1 Gbps. Allows connect more than 200 devices And if there is something it stands out for, it is its easy configuration. CUDY AX3000 2.5G Wi-Fi 6 Mesh System, 3-Pack The price could vary. We earn commission from these links Tenda Beli SP3 smart plug If you want to control any device in your home remotely, even if you are away from home, this smart plug from Tenda is one of the essential bargains on Amazon today. Normally it costs around 10 euros, but now it has a 40% discountbeing able to buy it for 5.99 euros. To control it, you can use the app available for smartphones. Thanks to this smart plug you can schedule schedules and timers and it has an away from home mode that will be very useful when you are on vacation, for example. Likewise, it stands out for being compatible with Alexa and Google Assistant. Tenda Beli SP3 Wi-Fi Smart Plug The price could vary. We earn commission from these links Ultimea Poseidon D60 Soundbar Do you want to set up your own home theater and are looking for a sound bar good, pretty and cheap? This Ultimea one is now a bargain on Amazon, thanks to the 43% discount that has been applied. Now you can get it for 171.47 euros. This is best selling sound bar on Amazon and it is a 5.1 channel model. It offers an RMS power of 410 W and has Bluetooth 5.3 connectivity. It is compatible with Dolby Atmos and also incorporates HDMI eARC. ULTIMEA Poseidon D60 5.1 Sound Bar with Dolby Atmos The price could vary. We earn commission from these links Google Pixel Buds Pro 2 wireless headphones Google’s Pixels have become one of the most successful smartphone models lately. The brand also has wireless headphones and they are now very well priced. On Amazon, you can get these Google Pixel Buds Pro 2 with 100 euros discountsince they have gone from costing 249 euros to 149 euros in these moments. These wireless headphones from Google have noise cancellation and are small, light and comfortable. Your brain is Tensor A1 chipwhich has Artificial Intelligence. They also incorporate conversation detection and their battery offers up to 30 hours of autonomy. Google Pixel Buds Pro 2 – Wireless Earbuds with Active Noise Cancellation The price could vary. We earn commission from these links Huawei Pura 80 Pro smartphone If you are looking for a mobile high-end, this Huawei Pura 80 Pro It is a terminal that you can now get discounted on Amazon. It has gone from costing 1,099 euros to 899 euros in these moments. The Huawei Pura 80 Pro stands out for its ultra-illuminated camera with telephoto lensmaking it a perfect mobile phone to take good photos. Its screen is 6.8 inches and its design is very elegant. Regarding its battery, it supports fast charging SuperCharge 100W wired and 80W wireless. HUAWEI Pura 80 Pro Mobile Smartphone, 12GB+512GB 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 | Javier Penalva (Xataka), Google, Huawei, Ultimea, Tenda and Cudy In Xataka | Home alone: ​​buying guide for smart devices to take care of your home when you go on vacation In Xataka | Best iPhones. Which one to buy and recommended models based on budget, tastes and quality-price

15 Chinese car manufacturers are going to produce humanoid robots. They will use the same advantage that made them leaders

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China is not late to humanoid robotics: it arrives with factories, suppliers, engineers and software already amortized, an advantage that is difficult to overcome. The supply chain of an electric car (sensors, motors, batteries, chips, perception algorithms…) overlaps by more than 60% with that of a humanoid robot, according to CITIC Securities estimates. XPeng, one of the most technological manufacturers in the sector, It also ensures that its robot reuses 70% of the same AI software as its cars.. If those numbers are real without many asterisks, the Chinese manufacturers of electric vehicles are not that they are aspirants to robotics, it is that they are clear favorites. The panoramic. Fifteen Chinese car brands have announced humanoid robot programs, according to the analysis firm Kaiyuan Securities. China already manufactures 70% of the components of “classic” industrial robotics, and the jump to humanoids takes advantage of the same factories, the same suppliers and the same talent that have given it leadership in electric vehicles. The parallel with what Tesla is doing with Optimus is inevitable, but China is running it with dozens of companies in parallel, at a speed that no single company can match. Between the lines. The bets diverge as much as the companies: Yes, but. There are dark clouds on the sunny day that is humanoid robotics for China. XPeng’s IRON robot crashed in a shopping mall in Shenzhen a few days ago. The company has been in robotics for six years. Driving on roads and moving through the rooms of each parent are very different problems. Roads have lanes, signs, and fairly predictable physics. The rooms have stairs, dozens of small objects, people moving, doors to open, intricate locations or chargers with a cable on the floor. The manual dexterity and dynamic balance required by a humanoid robot have no equivalent in the control architecture of any car. And the most talented engineers in the sector know it: several former XPeng executivesLi Auto and Huawei have left their companies to found their own robotics startups. When the path seems clear, the best are not afraid to go it alone. The contrast. Unitree, a pure robotics company with no ties to the automotive industry, distributed 5,500 robots in 2025. Agibot is approaching 1 billion yuan in revenue, about 122 million euros. These companies built from the ground up for robotics are already delivering their product while car manufacturers are still in the reorganization phase. The technological overlap between cars and robots is real in sensors and perception software, but it quickly thins out when the robot has to manipulate objects with great precision, maintain balance on uneven terrain, or work alongside humans. That last “frontier”, the 30% that does not transfer, may be where it is decided who dominates the industry. In Xataka | China manufactures 90% of the world’s humanoid robots and the reason is not its industrial policy: it is crossing the street Featured image | Xpeng

Anthropic just accused DeepSeek and other Chinese companies of “distilling” Claude

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For months we have talked about the race between the United States and China to dominate artificial intelligence as if it were only a question of who trains the most powerful model or launches the next version first. But the pulse begins to move to another, more delicate area: that of the rules of the game. When one laboratory accuses another of extracting capabilities from its system to accelerate its own development, the discussion goes beyond the technical. That’s exactly what Anthropic just did by denounce “distillation” campaigns against his model Claude. The complaint. In a text published this Monday, the company claims to have detected “industrial-scale campaigns” aimed at extracting Claude’s capabilities. According to their version, the activities attributed to DeepSeekMoonshot and MiniMax reportedly involved more than 16 million queries, question and answer interactions, and were channeled through approximately 24,000 fraudulent accounts, in violation of their terms of service and regional access restrictions. The race and the suspicion. The announcement by the firm led by Darío Amodei occurs in a context of growing tension around the progress of Chinese AI. Let us remember that DeepSeek altered the Silicon Valley landscape a year ago with the launch of R1, a competitive model that was presented as Developed at a fraction of the cost of American alternatives. The impact was immediate on the markets and revived the political debate in Washington about the technological advantage over China. Distilling is not always cheating. Anthropic itself recognizes that distillation is a common technique in the sector. It consists, in simple terms, of training a less capable model using the responses generated by a more powerful one, something that large laboratories use to create smaller, cheaper versions of their own systems. The problem, according to the company, appears when this practice is used to “acquire powerful capabilities from other laboratories in a fraction of the time and at a fraction of the cost” that developing them independently would entail. In that case, distillation would cease to be an internal optimization and would become, always according to Anthropic, a way of taking advantage of the work of others. Recognizable pattern. The three laboratories would have used fraudulent accounts and proxy services to access Claude on a large scale while trying to avoid detection systems. The company details infrastructures, what it calls “hydra cluster”, extensive networks of accounts that distribute traffic between its API and third-party cloud platforms, so that when one account was blocked, another took its place. Anthropic maintains that what differentiated these activities from normal use was not an isolated query, but rather the massive and coordinated repetition of requests aimed at extracting very specific capabilities from the model. Three campaigns. Although Anthropic presents the campaigns as part of the same dynamic, it distinguishes relevant nuances. DeepSeek would have focused its more than 150,000 queries on extracting reasoning capabilities and generating safe alternatives to politically sensitive questions. Moonshot, with more than 3.4 million queries, would have been oriented towards the development of agents capable of using tools and manipulating computing environments. MiniMax would concentrate the largest volume, more than 13 million queries, and according to Anthropic’s account, it reacted in a matter of hours to the launch of a new system, redirecting its traffic to try to extract capabilities from its most recent system. A geopolitical issue. The company states that illicitly distilled models may lose safeguards that seek to prevent state or non-state actors from using AI for purposes such as the development of biological weapons or disinformation campaigns. It also argues that distillation undermines export controls by allowing foreign laboratories to close the gap in other ways, while at the same time recognizing that executing these large-scale extractions requires access to advanced chips, thus reinforcing the logic of restricting their availability while, at the same time, remembering that the risk would grow if these capabilities end up being integrated into military, intelligence or surveillance systems. Images | Xataka with Nano Banana Pro In Xataka | Seedance is the greatest brutality we have seen generating video. And it has an uncomfortable message: it has surpassed Sora and Veo without NVIDIA chips

Telefónica is already selling its minicenters to compete in the era of real time

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For years they have told us that the future of artificial intelligence lies inincreasingly larger data centersmore powerful and more demanding in energy consumption. And it’s true that computing muscle matters. But there is an equally determining factor that is talked about much less: distance. In the era of real time, it’s not just how much you process that matters, but where you do it. Every millisecond that data takes to travel can disrupt the ability to react instantly. This nuance, apparently technical, is beginning to become a strategic issue for Spanish companies. Telefónica’s bet. The company has activated the commercialization of its edge computing services for B2B clients in five Spanish cities, Madrid, Valencia, Seville, Bilbao and A Coruña, as part of a broader deployment that includes 17 nodes in this initial phase. This means that companies and administrations can now hire these processing and storage capacities close to the point where the data is generated. Closer data. Edge computing involves processing information where it is generated, rather than constantly sending it to distant data centers. As Microsoft explainsis about moving computing and storage capacity to peripheral network locations, such as factories, stores, offices or distributed infrastructures. In practice, local devices and servers analyze and filter data on site and only send what is relevant to central systems. The goal is to reduce latency, alleviate network traffic and enable real-time responses, complementing rather than replacing traditional cloud. The deployment. Telefónica’s Edge Plan plans to reach 17 nodes in this first phase throughout this year. According to the company, 12 infrastructures are already deployed: to the five with active B2B services, other nodes are added in Madrid, Barcelona, ​​Málaga, Palma de Mallorca, Valladolid, Terrassa and Mérida. This same year, the incorporation of Zaragoza, Las Palmas de Gran Canaria, Gijón, Santa Cruz de Tenerife and Santiago de Compostela is planned. Many of these facilities are located in old copper plants converted into Edge centers, adapted to availability and security requirements. Basic and Smart. Telefónica does not sell “edge” in the abstract, but rather two concrete ways of using it. The first is Basic Edge, a stable layer that brings computing capacity closer to the territory and focuses on data control and compliance with national, regional or local regulatory frameworks. Each node acts as an availability zone, allowing applications to be deployed with additional guarantees of continuity and resilience. The second is Smart Edge, which introduces dynamism: selection of the most appropriate node at all times, creation of instances on demand and operation with FTTH or 5G SA connectivity depending on the scenario. Beyond physical infrastructure. Telefónica integrates computing capacity with GPUs into its portfolio for artificial intelligence loads, available as a service and deployed in Edge nodes. This allows companies and institutions to run high-performance models without purchasing their own hardware and maintaining processing within the defined regional environment. The company also mentions the incorporation of RAG agents and capabilities to adapt models to specific contexts. Overall, the strategy seeks to bring AI closer to data under criteria of sovereignty and regulatory compliance. When the millisecond rules. An example helps to dimension the scope of this architecture. Telefónica developed with CAF a pilot that combines Edge and 5G Stand Alone for the railway sector, providing artificial vision solutions that process data close to the asset instead of depending on centralized infrastructure. According to the company, this approach avoids installing processing nodes in each car and keeps responsiveness at levels compatible with real-time operations. Images | Xataka with Gemini 3 Pro In Xataka | We had suspicions, but Sam Altman has confirmed it: AI is just an excuse to fire

to use AI you don’t need a machine

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When we think about artificial intelligence we usually imagine two very clear paths: paying a monthly subscription to a large chatbot in the cloud or setting up a powerful computer capable of running local models, with all its limitations. That is the mental photo that many of us have. However, what is happening these days with Raspberry Pi forces us to qualify that idea. According to Reutersits shares have recently registered a rise of up to 43% in parallel with the interest in OpenClawan AI agent that does not require very expensive equipment to get started. And that’s where the really interesting thing begins. The OpenClaw effect. Before going into the technical detail, it is worth clarifying what we are talking about. OpenClaw is not a typical chatbot, but an AI agent, that is, a system capable of executing actions on its own, from launching scripts to interacting with external services. The idea that is circulating is that, if autonomous agents become popular, many users could end up resorting to these physical devices, as also reported by Bloomberg. The key is that, in these types of configurations, the large model usually runs on cloud servers and the local device acts as a coordinator: calling APIs, keeping the session active and executing tasks in the user’s environment. Although there are also configurations that allow small models to be run locally using tools such as Ollama or llama.cpp, with models like a Pi 4 or 5 with enough RAM. Isolate the risk. Beyond the enthusiasm, the conversation has also revolved around security. From Raspberry they explain that giving deep system access to an agent can pose a real risk, precisely because it can interact with local files and services, and even browse websites or fill out forms. This coincides with warnings from experts who consider that these algorithms are not without dangers. This is where the idea of ​​a dedicated device makes sense: using a Raspberry Pi as a separate environment allows you to contain possible failures and maintain a certain distance. skeptical voices. In The Register they point out that the idea of ​​using a Raspberry Pi for OpenClaw “does not make sense” and they emphasize that the historical appeal of the device was its low price, something that, according to the media, has been eroded with the rise in memory costs. He cites as an example that an advanced model of Raspberry Pi 5 with 16 GB can exceed $200, which increases costs for those who want to make this type of investment. We have to wait to see if the movement that the market has just anticipated will finally become a reality. Images | Raspberry Pi In Xataka | AI agents have indeed changed work and the economy forever. But for now only in one sector: programming

The return to the Moon is delayed again and now helium is to blame

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If at this point someone tells you that NASA has delayed the mission again Artemis IIthe most logical thing is to think that they are playing a joke on you, since the list of accumulated postponements begins to border on comedy. And the last one is not for less, since after announcing that the last tests had been a success, hours later we knew that the mission scheduled in the window that opened on March 6 has been postponed again and the rocket returns to its ‘garage’. The new culprit. If one of the great enemies was hydrogen, which already forced delay the first date that we had for 2026, now the focus has been on helium. And, after the second general test with fuel that we saw last fridayengineers have detected a new technical problem in the propulsion system of the SLS superrocket. Specifically, it is an interruption in the flow of helium in the intermediate cryogenic stage. AND it’s not a minor mattersince this gas is absolutely essential to purge the engines and pressurize the cryogenic fuel tanks in order to ensure mission safety. And although everything worked well in the previous tests, during the post-test the system said “enough.” To the starting box. As confirmed by NASA itself on its official blog this February 21, as well as Jared Isaacman, current administrator of the agency, via Xthe team is evaluating the situation, but the decision has already been made: rollback. Repairs cannot be done outdoors on the launch pad, forcing the behemoth SLS to be returned to its garage, technically known as the Vehicle Assembly Building (VAB). The possible causes of this failure range from a blocked filter to a failure in the umbilical interface or the check valve, which are technical ghosts that are dangerously reminiscent of the problems that already tortured Artemis I in 2022 and that generated a situation of constant delays that took away all the seriousness of the mission. The new window. With March completely off the calendar, everything points to April, if it resolves quickly enough and passes the next general test. Although, given what we have seen, fixing one problem causes a completely different problem to arise, so saying a date is real nonsense. The chronology. Making a list of all the critical points in the mission that was to put four humans back into lunar orbit is almost a titanic and memory challenge, but we are going to illustrate it to make clear the context of delays that we have seen in this mission that has been going on for years. It all starts in November 2024, which was the original launch date. Throughout 2024, the mission was scheduled from September 2025 to April 2026 after discovering severe damage in the heat shield of the Orion capsule during Artemis I. In March 2025, a little light was seen when it was pointed out that the mission could be brought forward until February 2026. January 2026: a winter storm delay transfer to the launch pad. February 2, 2026: the first dress rehearsal is aborted with 5 minutes left due to a hydrogen leak liquid. February 21, 2026: After fixing the leak, the second rehearsal is a success and announces the date of March 6 with great fanfare… and in the end the helium fails, throwing March overboard. Doubts about the future. The bad experience with Artemis I and II already makes us doubt everything that NASA has planned in the future. Artemis III is the next major space project that aims to land at the south pole of the Moon and for man to set foot on lunar soil again. A mission that has already been delayed until 2027 in order to further perfect the capsule and the suits space. But the real focus is on Mars with the goal of humans setting foot on the red planet for the first time. A much more complex mission as it involves a much greater distance and a mission time that requires the astronauts to travel for many more days, with all the security implications that this entails. China. The great competitor of the United States in this space race, which has a great political component behind it. And while NASA turns its calendars into wet paper, on the other side of the world the Chinese space program follows a methodical rhythm, opaque in its crises, but at the moment relentless in its dates. Right now the goal is to put taikonauts on the lunar surface by 2030, and although the United States there is still room for temporary advantagethe image contrast is brutal: while the SLS suffocates between hydrogen leaks and helium failures under the spotlights around the planet, the Chinese space agency (CNSA) continues to chain millimeter successes with its Chang’e robotic missions. Images | POT In Xataka | Two Spanish space giants have joined forces to take 5G defense satellites into space: PLD Space and Sateliot

AI is just an excuse to fire

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For months, layoffs at big tech have been justified under the umbrella of AI as if it were the great devourer of jobs. Sam Altman, CEO of OpenAI, assures that these companies have used AI as a scapegoat to carry out unpopular cuts which have nothing to do with, in fact, anything to do with the actual use or implementation of this technology. This trick, known as “AI washing“ or AI laundering, has allowed companies to make up workforce adjustments to readjust to a new market situation after overhiring during the pandemic and save costs, while at the same time imbuing themselves with a technological innovation patina. The perfect excuse. In an interview for the American network CNBC On the occasion of the India IA Impact Summit, Sam Altman attacked those who were using AI as a pretext to fire their staff. However, the founder of OpenAI described a two-pronged scenario: on the one hand, there are companies that rely on the AI ​​narrative to justify unpopular cuts. “I don’t know what the exact percentage is, but there’s a bit of ‘AI washing’ where people blame AI for layoffs they would do anyway.” However, the manager also recognized that the arrival of AI was indeed displacing some profiles due to the automation of certain administrative tasks, although he justified this displacement as part of the natural technological evolution.​ “We will find new types of jobs, as we do with each technological revolution.” Altman acknowledges that “the real impact of AI on employment in the coming years will begin to be palpable,” but he does not believe that the current impact of AI on the labor market is so severe as to be the direct cause of the hundreds of thousands of layoffs which were executed in 2025. The data does not fit the narrative. A study of the National Bureau of Economic Research (NBER) revealed that almost 90% of the 6,000 managers of companies from the US, United Kingdom, Germany and Australia who participated stated that AI has not affected employment in the three years after the launch of ChatGPT. Other report Prepared by The Budget Lab at Yale University, it analyzed data from the Bureau of Labor Statistics until November 2025 and found no significant variations in unemployment in the occupations most exposed to the impact of AI. Martha Gimbel, co-director of the laboratory that prepared the report, assured to Fortune that “No matter what perspective you look at the data, at this very moment it doesn’t look like there are any major macroeconomic effects here.” According to the report data of the Challenger, Gray & Christmas labor platform, in 2025 were attributed directly to the AI ​​some 54,836 layoffs, out of a total of 1,206,374 layoffs in the US during 2025. This implies that the AI ​​was really behind 0.045% of the total of all layoffs for the year. The threat is real. Although AI is not the real reason behind the current layoffs, its impact on the labor market in the coming years is undeniable. Dario Amodei, CEO of Anthropic, stated a few days ago to Business Insider that “half of office jobs could disappear in the next five years.” Sebastian Siemiatkowski, CEO of the Klarna payment platform, which has already dispensed with part of its staff to implement AI customer service agents, spoke along the same lines. in an interview. The manager assured that by 2030 his company will be able to do without 30% of the 3,000 employees who currently make up the payment platform’s workforce. On the other hand, as how he published he Financial Timesthe data are already beginning to show the first effects of the increase in productivity derived from technological investment with a relative drop of 13% in the employment of junior workers in positions highly exposed to AI. Don’t call it AI, call it dropping ballast. However, the incipient arrival of AI in the coming years does not justify that the layoffs that have been carried out throughout 2025 are as a direct effect of AI or because an AI has replaced the worker. In a statementAmazon linked the dismissal of 16,000 employees to AI, saying it would need “fewer people for some jobs done today.” Days later, at a conference with investors, Amazon CEO Andy Jassy disassociated the layoffs from AI, stating that “The announcement we made a few days ago didn’t have a real financial boost, it’s not even driven by AI, at least not right now. It’s a cultural issue.” Microsoft and other companies have followed the same pattern of justification for dismissals making excuses for AI, when in reality AI is not implemented enough in companies to be a reason for dismissal in rounds of tens of thousands of employees. Call it business strategy, but don’t blame AI. In Xataka | “The world is in danger”: Anthropic’s security manager leaves the company to write poetry Image | Wikipedia

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