Mobile Tech & Gadgets

The Spanish business that Vodafone sold as ballast is now worth three times as much. Zegona has shown that the problem was the owner

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according to further Populi Voicea medium with a good track record in telecom exclusives, Telefónica has started talks with Zegona to acquire Vodafone Spain. The negotiations are recent (just a few weeks) and it was Movistar who picked up the phone first. Telefónica wants to close the operation in the first half of 2026. The rumors come from months ago. The problem is that arrive late, and that has a price. A little more than two years ago, Zegona bought Vodafone Spain for about 5,000 million euros. Vodafone (the British parent) was selling a problematic asset: It was the third operator in a market of four. He was caught between the scale of Telefónica and the agility of the low-cost He inherited a network that required constant investment. And he also inherited a tarnished reputation after years of complaints. For the British group, Spain was a drain of money and effort. For Zegona, a poorly managed gold mine. And in just two years, the fund has proven that he was right: Has returned to its shareholders 1.4 billion euros in dividends (28% of what was paid by Vodafone Spain). Has reduced the number of shares in circulation by 69%. And yet its current capitalization is around 3.6 billion. For fund shareholders, the return has been spectacular: The stock went from 345p when they bought Vodafone (less than 100 when they announced their intentions) to over 1,565p now. It has multiplied by 4.5 in two years. Vodafone Spain generates around 4.5 billion annual revenues and, with more focused management than before and without the bureaucracy of a global giant, it has become a profitable operation that Zegona can continue to exploit… or sell to the highest bidder. Telefónica is now negotiating from a weak position. It needs the operation (Marc Murtra has repeated that Movistar must lead the consolidation of the Spanish market) and the market knows it. An ERE of 4,500 people has just closed. And while Telefónica prepared the house to add more furniture, its price has fallen 27% since the end of October. Zegona, however, its value has skyrocketed. The price of this indecision is between 2,000 and 7,000 million extra euros. regarding what the purchase of Vodafone Spain would have cost in 2023. Zegona is in no hurry. It can wait, it can squeeze, it can even stay as it is. Telefónica now cannot afford that luxury because buying Vodafone Spain is not an expansionist move, it is an almost defensive necessity: needs critical mass before Europe forces further consolidation where Movistar is the main course, not the diner. But when negotiating is a necessity and the other side knows it, the price stops being a variable and becomes a toll. If the operation crystallizes, it will create a giant with more than 45% of the Spanish market, great cost savings by eliminating duplications (headquarters, networks, contracts…) and intense regulatory scrutiny from Brussels. Although not as brutal as it would have been with Vestager because Ribera has another look. Telefónica knows it and so does Zegona. The difference is that one is late and the other can afford to wait. That changes everything in a negotiation. In Xataka | The great dilemma of Spanish telecos: either they become giants or China swallows them Featured image | Vodafone, Telephone

There is a material on which the future of the iPhone and AI depends. And almost everything is manufactured by the same Japanese company.

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More than 100 years ago two Japanese textile companies called Fukushima Boseki Co., Ltd., and Katakura Seishi Iwashiro Bosekisho they joined forces to become Nitto Boseki Co. Ltd, also known as Nittobo. A century later we have encountered a giant on which a critical material for the future of our chips depends: glass fabric. Technological glass artisans. The Japanese company was the first in industrially producing carbon fiber. They did it in 1938, almost right at the same time as Owens Corning Fiber Glass in the US. Later, in 1969, they developed the “crystal fabric” or “glass cloth” (glass cloth), a material that began to be used in printed circuits Hello, T-glass. That material evolved and in 1984 they launched their T-glass, an even more specialized glass fabric that began to be used as a substrate in chips of all types. This material is different from the common fiberglass like that used in surfboards or in insulation solutions. Thus, it has a very low coefficient of thermal expansion, which ensures its good performance even when the chips are operating at maximum performance. Japan, we have a problem. As indicated on Nikkeiexperts warn that the lack of this material has become a major obstacle to chip manufacturing and the advancement of AI in 2026. Nittobo is practically the only company in the world capable of manufacturing this glass with the necessary quality. Its glass fabric is extremely thin, bubble-free and heat-resistant, which has made it a fundamental part of chips such as those used in iPhones. Apple, in fact, was one of the first major technology companies to reach an agreement with Nittobo to use this material. Everyone loves Nittobo. The good performance of this material has now made companies like NVIDIA, Google or Amazon also demand T-glass for their chips, and that has generated a worrying competition due to inventory that is quickly depleted and it is not clear that it can cope with demand. Apple asks for help. The situation is so tense that Apple has sent some managers to Japan and has even asked the Japanese government to intervene to ensure supplies from Nittobo. Once again the objective is to guarantee the launch of its key products, and at Nikkei they point directly to the expected foldable iPhone. The fiberglass fabric is a critical layer on the chip substrate and ensures that everything works perfectly even under heavy workloads. Source: Nikkei. Capacity will grow, but not immediately. At Nittobo they know very well what the situation is like, but they can’t do anything to remedy it, at least in the short term. A company executive quoted in Nikkei indicates that “if we do not have additional capacity, it means that we do not have additional capacity no matter how much pressure is put on Nittobo. The way I see it, the situation will only improve significantly when Nittobo’s production increase becomes a reality in the second half of 2027.” Looking for alternatives. Apple and Qualcomm are looking for plans B, and their initiatives to find new suppliers in China or Taiwan are already underway. However, the demand for the quality of this type of material is very high: an error in the quality of the glass of the chip substrate cannot be repaired, and would ruin entire batches of components. AI causes chaos again. We already saw it with memories: the AI ​​industry needs immense quantities of DRAM and NAND memory chips, and that has now meant that the rest of the world is suffering from a huge rise in prices. The same thing is happening with this glass fabric: AI chip manufacturers have an exaggerated demand for this material, which harms the rest of the “traditional” chip manufacturers and, therefore, the users. bad business. And as happens with memories, in the end the material is sold to the highest bidder, which are usually companies like NVIDIA that have exceptional profit margins. That leaves consumer electronics manufacturers in a vulnerable position and with declining sales forecasts. Nittobo does not want to saturate the market. And as happened with the memory market, Nittobo does not want to oversize its business in the face of this demand and prefers to be cautious. Japanese suppliers already suffered losses from overstocks in 2022, so they are now reluctant to expand their factories aggressively. It is precisely the same speech that Micron made, which already suffered from excess inventory after the pandemic: although they could now manufacture more memory chips, for them that means risking history repeating itself. In Xataka | A thousand-year-old mystery allowed us to put nanotechnology into modern screens. Today the discovery has a Nobel Prize

Chinese startups have been relying on NVIDIA chips to train their models for years. That is already changing

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The name of the Chinese startup Zhipu AI (Z.ai) may not sound familiar to you, but perhaps GLM, its AI model, does a little more than its latest version, GLM-4.7already competes with Claude Sonnet 4.5 or GPT-5.1. The real surprise of this “Chinese AI tiger” is the launch of GLM-Image…and not so much for what he does, but for how he has managed to do it. what has happened. GLM-Image is a multimodal generative AI model that focuses on image generation. The idea, of course, is to compete with options like Nano Bananafrom Google. That’s interesting, but even more striking is the fact that the model has not been trained with conventional chips. Trained with Chinese chips. According to those responsible for Z.ai, this model is the first developed in China that has been fully trained with “local” chips. Specifically, it has been trained with Huawei’s Ascend chips thanks to the use of servers Huawei Ascend Atlas 800T A2 and a framework called MindSpore. Thus, traditional NVIDIA AI chips, which are usually the usual choice for AI model developers in Chinese startups, have not been used. Turning point? This milestone demonstrates the real feasibility of training high-performance generative AI models on a platform developed entirely in China. We are not dealing with something minor: it is validation that it is possible to continue innovating in this area despite the restrictions imposed by the US. In fact, Zhipu AI — included last year on the US blacklist — has intensified its collaboration with other local manufacturers, such as the promising firm Cambricon that has risen from the ashes thanks to tariffs. Threat to NVIDIA. The news comes at a unique time, because NVIDIA has not stopped pressuring the US government to once again allow it to sell its advanced AI chips to Chinese companies. He has obtained that permission—which It won’t be free—, but now the one that might not be interested is China, which he hasn’t said anything at all. That chips from companies like Huawei are a valid alternative for training quality AI models can change many things in this area. Zhipu goes like a shot. The Chinese startup has also just gone public, and since it has done so its shares they have shot up more than 80%. Investors see the company no longer as a rival to Google or OpenAI, but as a banner. One that shows that it is possible to compete without depending on the US and its companies. Huawei, great beneficiary. If the trend continues, Huawei can become the Chinese NVIDIA, and the company prepares an increase in production of its AI chips. It is not the only one: Cambricon plans triple your production by 2026, which seems to make it clear that the Chinese industrial machinery is moving quickly to neutralize the impact of US vetoes. Challenges…Despite everything, Zhipu already has warned that the price war in the AI ​​sector will become international. If Chinese companies end up controlling the entire chain (or rather, their chain), they could offer AI services at much lower costs than their Western competitors, who must pay NVIDIA’s margins and Big Tech’s cloud infrastructure. …and unknowns. This technological achievement raises other questions. One of the most important is how powerful and capable Huawei chips are compared to NVIDIA’s in these processes: is training much slower? Is it more expensive in time and resources? The efficiency of the MindSpore framework compared to Pytorch or TensorFlow is another of the key components of these developments. In Xataka | Faced with the US strategy, China has a plan to revive its technology industry: that AI belongs to everyone

Michel Foucault was convinced that “visibility is a trap.” And without knowing it I was talking about our lives with AI

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I never thought I’d write this, but I’ve been thinking about it for days. Michel Foucault more than I would like. And a back pain is to blame. It was a couple of weeks ago, it was one in the morning and the house had been quiet for a while. That’s where the puncture came. I could have woken up my wife who was 30 centimeters away and, well, she is a doctor; I could have searched on Google; I could have even asked on an Internet forum. And yet, I opened ChatGPT, asked what was bothering me, and shortly after turned off my phone to go to sleep. And I fell asleep right away. But a few days ago, this analysis by Javier Lacort about ChatGPT Health It left me thinking. Not because AI was fully entering the world of health and “medical advice” (something that, on the other hand, I knew firsthand); but because of something that was commented on in it: that “we prefer to ask a chatbot have to wait three weeks for an appointment or have to bother a friend at eleven at night. It hurt a little. There was something interesting there. Eleven at night; one in the morning “The ChatGPT Competition”, Lacort continued“it’s not so much with the doctors as with the emotional support network that we used to have. We asked our mother, our partner, the friend who studied nursing.” But for some time now, “upsetting someone has become emotionally costly.” That last phrase is devastating because it contains the key to something that goes far beyond chatbots with medical uses. Something that goes through Millennials’ problems with calls, with the fishmongers, with sex or with any interaction that is not mediated by a screen: the deep cultural aversion that the modern world has generated to ‘social friction’. And it is curious because, although only in recent years do we see the most striking consequencessociology and cultural analysis have been pointing out what was happening for decades. We have Norbert Elias, for example, who I was convinced that (as part of the prolongation of the civilizing process) the thresholds of shame and discomfort are shifting. What fifty years ago was perfectly normal—calling without warning, asking a favor from an acquaintance, interrupting someone with a question—today borders on the intrusive. What’s more, today we have internalized it. Sennet spoke of the decline of the public sphere (we know how to handle ourselves in privacy and in public transactions, but not in the middle ground); the sociology of emotionstalks about the success of therapeutic lexicon and how that has changed the way we relate; Hartmut Rosa cblame social accelerationprecariousness and lack of time, the loss of effectiveness of reciprocity networks. That is to say, we have many theorists thinking about the same thing: that we are a new type of subject. A subject who has internalized the rules, who manages himself, who evaluates his relationships in terms of emotional cost-benefit and who, above all, experiences direct reciprocity as something frictional, uncomfortable and potentially invasive. And, just then, chatbots appear. I’m not talking about the technology behind it, nor its ultimate nature: I’m talking about the same historical process that has created subjects like this, has created something that “listens to them”, that “is empathetic”, that does not judge them and that helps them as and when it can. Honestly, it would be strange not to throw ourselves into his arms. Can Foucault help us understand all this? Google DeepMind That’s where, I’m afraid, Foucault becomes interesting. In his courses at the Collège de France from the late 70sthe French philosopher explored a whole series of different dimensions of power that, although not obvious, were inseparable from the Modern State. In the past, the State was mainly about controlling borders and collecting some money. But not anymore: now the State manages populations (what it called ‘biopolitics‘ and includes things such as vaccination programs or birth policies) and, at the same time, deals with each subject in its particularity (the so-called ‘pastoral power‘ who through family doctors, social workers, school counselors or psychologists listen to us, advise us and “lead us”). He called the combination ‘governmentality‘: a power that (excuse the ‘expletives’) is at the same time totalizing and individualizing. And those, totalizing and individualizing, are features that seem half-made of technological solutions such as ChatGPT Health. A chatbot that, on the one hand, advises users about their problems, listens without judging, guides us in micro-decisions and knows us (or ‘pretends to know us’) in our particularity; and, on the other, it performs triage, implements protocols, normalizes thresholds, generates aggregate data and, in a short time, will integrate with insurers and health systems. Pastoral and biopolitical, at the same time. And with an incredible infiltration capacity. The difference, and this Foucault could not foresee, is that now this power does not depend on the State, but on a corporation. What was previously a community or ecclesiastical function, then partially state, is now outsourced to private, for-profit infrastructures. It is a privatization of power. The tentacles of the State In the previous section I said that “Foucault could not foresee it”, but I think that is not accurate. It is true that when this thinker theorized about “pastoral power” or “biopolitics,” he was thinking about public officials operating in state institutions. But the wickers were there. After all, Foucault himself, in his last courses (especially in ‘Birth of biopolitics‘, dedicated to analyze ‘neoliberalism’ as arts of government), described a decisive mutation of our time: the State no longer thinks of itself as a provider of services but as a guarantor of the conditions for the market to function. The functions that were previously assumed directly (educate, heal, advise, care) can be outsourced to private agents. In this sense, chatbots are neither an accident nor a distortion; are the logical culmination of the historical process of the development of modern power. From a very specific formulation of … Read more

AI steps on the accelerator while everyone else puts on the brakes

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AI is not only turning the economy upside down, politics and, in general to society. But it is also generating a salary gap between those technological profiles oriented to their development and implementation of AI and those who simply contribute to maintaining current technologies. At least that is one of the clearest conclusions drawn from the Salary Guide 2026which produces the technological employment portal every year Manfred, prepared with data from more than 120,000 profiles in its database, which, this year, has also been reinforced with data from the salary platform prosfy. Manfred’s guide shows that there are positions that have appreciated strongly, while others have lost traction and some have stagnated. Profiles on the rise: AI drives the market The big winners, without a doubt, are those roles linked to data, infrastructure and deployment of AI models, as well as their integration into the operations of companies. He AI engineer already starting from a median salary of 52,250 euros per year for a profile with between five and ten years of experience, with the 75th percentile close to 68,500 euros. This is a key hybrid profile in the deployment of AI as it navigates between the backend, MLOps and artificial intelligence, being very scarce and demanded by companies. For seniors with more than ten years of experience, the salary range is between 71,000 and 90,000 euros. He Data Scientist It has been the profile that has been most revalued since the popularization of AI. Their median salary reaches 55,400 euros, and the most experienced professionals easily exceed 70,000 euros. The shortage of specialists in AI models and architectures explains this jump towards 2026. Even higher up appears the MLOps Engineer (Machine Learning Operations), a key figure in bringing AI models to production. Their median salary is 60,125 euros and the 75th percentile is 80,000 euros. It is one of the most coveted profiles in large companies that seek to take the models they have been training in laboratories to production. In parallel to these profiles elevated by AIthe salary grows in profiles related to the structure for AI. For example, the profile of data engineer has increased its median salary by nearly 10,000 euros in recent years, already marking a median salary of 52,720 euros, with seniors above 65,500. Likewise, the roles of Data architect They already move at a median of 67,455 euros, exceeding 85,000 euros in the highest percentiles and with more than 10 years of experience. Advanced infrastructure profiles are also revalued, with the role of SRE/DevOps (Site Reliability Engineering and Development Operations) marking a median salary of 58,500 euros. As highlighted by Manfred, this profile is one of the most demanded by companies, but only a small number of senior professionals meet the requirements, which explains why their salary almost triples between those who have less than two years of experience and those who accumulate more than 10. Profiles that lose weight: less demand, less salary On the opposite side are the roles that companies are stopping hiring or, directly, doing without. One of the most punished is that of Mobile Engineeras a reflection of the stagnation of companies in the development of new projects based on this segment. The median of their salaries falls to 40,500 euros, with a clear contraction in the high percentiles limited to 50,500 euros. Only the more specialized professionals In very specific frameworks, such as React Native or Flutter, they remain in the highest percentiles with salaries that are around 65,000 or 70,000 euros for the most senior. More pronounced is the decline in the role of Product Designerwith a median salary of just 35,575 euros for professionals with more than five years of experience. Its cut has occurred due to a combination between the equipment cutting and excess supply, which has pushed the market downward. Something similar happens with the profiles of QA&Testinga role that is being assumed by the development teams that are directly automating with AI agents. The case of Tech Lead lives a somewhat ambiguous situation. On the one hand, his status as an intermediate position has placed him as a target in the structural flattening strategies that technology companies have implemented to cut costs. On the other hand, the senior development employees They have been acquiring the functions of this role “unofficially” so their demand has reduced in recent months. In any case, their median salary is 58,755 euros, but with fewer positions to fill. The stagnant: necessary roles, but not decisive Among the profiles that do not fall, but also do not grow, are those related to classical development functions. That is to say: the Front-End and Back-End, the largest group, on the other hand. The salary of a Back-End Engineer It is around 45,654 euros and the sections below the 50th percentile and with less experience even regress. This behavior highlights that new hires or those with less experienced staff have lower salaries than those who have been working for years. Something similar happens with the Front-End Engineerswhose median salary drops in all percentiles, standing at 42,570 euros, weighed down by the abundance of junior profiles and a lower volume of hiring. The underlying message that emerges from the salary study prepared by Manfred reflects that the Spanish tech sector is no longer increasing uniformly, but that AI has created a salary economy at two speedsdifferentiated by the segment in which value is added. Those who are focused on the development and implementation of AI are experiencing a meteoric rise, while the rest, who keep the current technological structure in operation, do so at a much slower pace. In Xataka | A study has compared the gap in public salaries vs. private companies in Europe and has found a problem: Spain Image | Unsplash (Hack Capital)

Carrefour has this 65-inch Samsung TV at an outlet price and gives you a coupon of more than 100 euros for future purchases

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Carrefour has been becoming, for some time now, one of those stores where we can find very good opportunities to buy a TV for our home. Now, it is celebrating its “Save the VAT” campaign and one of the bargains is this smart tv samsung TU65U7025FKwhich is reduced to 499 euros. Plus, you get a worth 104.79 euros for future purchases in your hypermarkets or in your online store. If you want it and you have the Carrefour Pass card (if you cannot request it easily), you can finance this TV in 10 installments of 49.90 euros. Samsung LED TU65U7025FK 65″ 4K UltraHD Smart TV Tizen HDR10 The price could vary. We earn commission from these links A good, pretty and cheap TV This TV from the Korean firm has a 65 inch LED panel diagonal, making it ideal for setting up your own home theater. It offers 4K Ultra HD resolution and is compatible with HDR10+ and incorporates Filmmaker mode. Its speakers offer a 20W RMS power and incorporate Q-Symphony technology. Regarding the operating system under which it works, it is tizenwhich is typical of the Samsung firm. Another thing that this Samsung television stands out for is its compatibility with Apple AirPlay 2 and allows voice control through voice assistants Alexa, Google Assistant and Bixby. Finally, it is worth mentioning its connectivity section, since it has WiFi 5, Bluetooth 5.3, three HDMIs, a USB 2.0 port and Ethernet. Some accessories that may interest you for this TV Amazon Fire TV Stick 4K Plus The price could vary. We earn commission from these links Samsung Sound Bar HW-B450F/ZF 2025 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 | Webedia and Samsung In Xataka | Best home theater projectors. Which one to buy and five recommended models from 299 to 18,000 euros In Xataka | Mega-guide to set up a home theater: projector, screen, sound system and more

Ukraine is proving that kamikaze drones are the future of warfare. And that is why Spain is going to start manufacturing them

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Europe has been talking about defense as an abstract concept for years, but the war in Ukraine turned the threat into something physical and quantifiable: drones, missiles, loitering munitions and a logistics chain under constant fire, forcing NATO to assume that the modern battlefield is a “death zone” where those who do not mass produce are at a disadvantage. And in that equation an unexpected nation has emerged: Spain. The new shield of Europe. To that strategic pressure after the invasion of Russia and the appearance of his ghost fleet An even more uncomfortable factor has been added: the political tension with the United States and the growing sense that the Western security umbrella is no longer It is not an automationbut a negotiation. In this double impulse is born the rush for a European defensive shield (perhaps that repeated drone wall), and not only in radars or interceptors, but in industry, stocks and real response capacity, where manufacturing speed matters as much as quality and where technological sovereignty becomes a survival requirement. The unexpected actor: Spain. In this scenario of rapid rearmament and need for autonomy, Spain aims to go from being a country that buys to being one who producesand also do it with a weapon that defines contemporary war: the kamikaze droneor loitering munition, which watches, waits and strikes with precision at costs much lower than manned aviation or traditional missiles. The move is ambitious because Spain does not compete from the heavy industrial tradition of other European partners, there is no doubt, but from a commitment to the most demanded segmentscalable and urgent of the moment: cheap, numerous, quickly upgradeable platforms and capable of saturating defenses. The political and military thesis seems clear: if Europe’s immediate future is decided by who can produce and replenish drones the fastest, then a country that leads that manufacturing not only wins contracts, also influence. Comparison of UAVs in the international market The Indra-Edge alliance. The core of the movement was in the news yesterday with the agreement between Indra and Emirati giant Edge to create a joint venture focused on the development, production and full lifecycle support of loitering munitions and smart weapons, with an estimated order book of about 2 billion euros annually. There is talk of manufacturing drones and sustained capacity: design, assembly line, maintenance, replacement and scaling, something essential in a type of war where systems are consumed at an industrial rate. Indra relies on experience Edge on suicide drones to accelerate the technological leap, while underlining that the real value for Europe is in pproduce in European territoryfulfilling the logic of sovereignty and reducing dependencies and deadlines in a market that is moving due to urgency and not by comfortable calendars. Castilla y León as a military-industrial hub. The bet has taken concrete form with two plants in Castilla y León: in Villadangos del Páramo (León), a production facility dedicated to drones and loitering munitions will be built, with an investment of about 20 million euros and a forecast of up to 200 jobs at full capacity. Another plant focused on micromotors will be installed in Boecillo (Valladolid), a critical component that defines autonomy, reliability and production capacity. The combination is revealing: it is not only the “final product”, also, and very important, the control of key pieces, which allows manufacture without bottlenecks and sustain a high exit rate when the strategic environment demands constant replacement. The objective is for Spain to not only be an assembler, but also part of the industrial heart that makes war with drones possible. Defense turns it into a state program. The Ministry of Defense has presented the project as part of the Industrial and Technological Plan for Security and Defense approved in May 2025, and has stated that the León factory will produce “the most advanced drones that can operate today in Europe and NATO.” Beyond the owner, what is relevant is that the new company would already be born with valued contracts around 2 billion of euros, with a workload committed to covering the needs of the Spanish Armed Forces and also other European armies, and with a performance horizon in 2026 and 2027. The implicit message is that Spain wants to be in the industrial layer that supports the European defensive shield, not as a secondary actor, but as a real supplier of a capacity that decides tactical survival on the front. Politics gets on the drone. The announcement, furthermore, is made with a staging in the Senate and in a pre-electoral context in Castilla y León, where the local impact (those 00 jobs distributed between León and Valladolid) turns the defense industry into territorial policy tool. The narrative mixes national security and reindustrialization: Small areas such as Villadangos del Páramo appear as recipients of a project of high technological value, while it is presented as a historic turn for the Spanish industrial base. At the same time, it is linked to other military initiatives in the community, emphasizing that rearmament It is not only a strategic debate, but a map of investments, works, infrastructure and employment that reorders public priorities. The real game. Finally, the movement also gives clues about the future of Europe with Ukraine as a mirror: the defensive shield It is no longer measured only in troops and doctrine, but in the ability to produce cheap, intelligent and massive systems, with short innovation cycles and controlled supply chains. Somehow, Russia has imposed the pace of the threat, and Washington has added the political pressure of not depending eternally on an external guarantor. In this scenario, Spain tries to occupy an unexpected gap: become the protagonist of the European loitering ammunition, the tool kamikaze which not only serves to attack, but also to deny space, saturate defenses and impose costs on the adversary. In a Europe that has belatedly discovered that modern war is also won in factories, Spain wants are in their territory. Image | Khamenei.ir In Xataka | Europe faces … Read more

one where we pay 20 dollars a month (if we pay) and another where companies pay up to 200 per employee

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The AI ​​industry is forking into two paths. They are non-binary and actors can be in both at the same time, but it was expected that we would see this branching: Products aimed at the general consumer. ChatGPT wins there and Gemini is growing lately. Tools for companies. Gemini and Copilot from Microsoft stand out more there, but Anthropic is growing a lot thanks to Claude Code. This division also marks something else: who is going to capture the real economic value of AI. Why is it important. Companies pay up to $200 per month per employee for the best model. ChatGPT “domestic” users, one tenth. And in business environments, the difference between the best and the second best matters a lot. At least much more than in domestic environments. Yao Shunyu, who worked at OpenAI and is now at Tencent, sums it up: “If your salary is $200,000 and you have 10 tasks a day, an excellent model does eight or nine. A weaker model does five or six. And when you don’t know what those five or six are, you waste time monitoring it.” according to the newsletter ChinaTalk. The contrast. “If you compare the Today’s ChatGPT with the one from a year agothere’s really no perceptible difference,” Yao points out. “On the other hand, AI-assisted programming has already changed the entire coding industry. “People no longer write code, they talk to their computer in natural language.” Most ordinary people still use ChatGPT as a kind of enhanced search engine. In companies, more intelligence directly means more productivity with a clear economic value. Between the lines. Anthropic has bet everything on this. Claude Code has changed the way developers work. And now just launched Coworkwhich seeks to bring that same idea to office workers, outside of programming. They are not going after occasional users: they want entire teams that depend on AI to work. OpenAI dominates in adoption figures and brand recognition, but it has a problem: many users who pay little on average. Companies are increasingly looking for tools that truly improve productivity. The threat. In the business market, whoever has the best model wins. Companies will always pay for number one if its price is comparable to the rest of the proposals. In consumption, something decent is enough and the price sensitivity is greater. And OpenAI needs a lot of money. Training and operating these models costs a lot. The consumer market has a fairly low profitability ceiling, and that is why they seek to shore it up with advertising revenue and pointing towards those of affiliation. And now what. This year we will see it clearly: OpenAI needs to prove that its enterprise agents are worth the money. Anthropic will continue to refine its position in code and productivity. Google is a little late but has hit the nail on the head with Gemini 3. At the end of the year we will know if OpenAI’s generalist strategy works or if the AI ​​business ends up divided between those who dominate the office and those who dominate the couch. In Xataka | OpenAI fully enters health for a simple reason: ChatGPT is already our front-line doctor (although we don’t want to admit it) Featured image | Anthropic, OpenAI, Xataka

Mexico City began a battle against the last of its markets that sold live animals. And he just won it

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Mexico City says goodbye to a historical image: the stalls dedicated to the sale of live animals in the Sonora Marketa complex of almost seven decades located southeast of the historic center of the capital. Since January 1, CDMX applies a restriction to this type of commerce, which in practice means that stalls with cages of chickens, ducks, sheep pigeons or fish tanks will no longer be seen in the square. The veto also extends to the marketing of dogs or cats. The authorities of the capital warn that the measure aims to mark a before and after in the sector: “There will no longer be the sale of animals in the public markets of Mexico City and the example begins with the Sonora Market.” New times, new approach. “As of today, the Sonora Market begins a new stage, leaving behind the sale of animals and moving towards a model that respects the law and protects sentient beings,” claimed on Thursday the head of Government of CDMX, Clara Brugada. According to the data managed by the Venustiano Carranza district, where the Sonora Market is located, there were 84 locations (out of a total of 400) dedicated to the sale of living creatures. The idea is that they will now refocus their positions towards other areas, such as the marketing of pet accessories and food or herbalism. Precisely for this purpose, the authorities have committed to giving them financial support: about 50,000 pesos (2,400 euros) to each affected person. Why that decision? What matters, but (at least in this case) when matters even more. The decision comes after a court order that responds to a request from the animal rights group. ‘He goes for his rights’ and calls into question the sale of live animals in the capital’s markets. However, the controversy around Sonora goes back much further: in 2021 a fire which affected several locations and has already attracted interest in the situation of their animals. Complaints on the subject can also be traced years back and they explain the ruling that now forces part of the market to refocus. Those who ignore it and continue selling animals risk closing their stores or even losing their concession. Among the affected merchants there are those who consider the measure “unfair.” “We live in a country with double standards: everyone eats chicken, but criticizes those who sell it,” laments in The Country a saleswoman. Why is it important? First, for its impact in Sonora. Second, because the CDMX Government wanted to present the measure as a turning point, a change that will go beyond the venue and extend to other similar spaces. “It is a historic day in which we tell Mexico City that there will be no sale of animals in public markets. And the example is set by Sonora,” claimed on Thursday Brugada. “We are an animalistic city.” The truth is that the Sonora Market has been particularly controversial. In December the Efe agency cited to an animal rights organization that claims to have documented the presence of mutilated dogs, with ailments or even painted to pass them off as exclusive breeds. The agency assures that it is not unusual for animals to be purchased in markets that are then dedicated to unorthodox uses, such as rituals, target shooting or bait. Click on the image to go to the tweet. What does the law say? The legislation already restricts the sale of live animals, as the deputy recalled Manuel Talayero during a speech in the Congress of Mexico City in September, when was banned the exhibition of pets in cages. “Removing animals from display cases is one more step to tell society that they are not things. This initiative is a step to end something that is already in the law: the prohibition on the sale of live animals in markets.” The Animal Protection and Welfare Law of CDMX, reformed in 2023, makes clear the prohibition of “selling live animals in public markets” or places that do not meet certain minimums, which include guaranteeing “good sanitary conditions” and facilities that prevent the spread of pests. Businesses also need a permit to raise and sell pets. Are there exceptions? In case there were doubts about the role of venues like Sonora, in a resolution In November, the Supreme Court of Justice (SCJN) clarified that “the exception to the general rule of allowing the sale of live animals in places that comply with the regulations does not extend to public markets.” The Chronicler was echoed yesterday that the Court declared that the CDMX congress has jurisdiction to legislate on issues related to animal protection. Images | Sasha India (Flickr), Thomas_H_foto (Flickr) and Carlos Adampol Galindo (Flickr) In Xataka | If the question is how to protect bees and other insects, in Peru they are clear: recognizing their legal rights

What is it and how to enter to use AI as if it were Google Translate

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Let’s explain to you how to use ChatGPT translator. No, it’s not about use ChatGPT as a translator as you have been able to do for years. This is a page that is not very well known on its own. artificial intelligence in which you are shown a translator interface. For now, the translator of ChatGPT It is a fairly simple page with two writing fields, one where you write and another where the translation comes out. You can choose between several languagesalthough you do not have Google Translator or DeepL functions such as real-time conversations or translating by voice messages. It is something quite minimal but simple. How to use ChatGPT Translate To access the ChatGPT translator you have to enter the page chatgpt.com/translateCome on, it’s like the normal AI website, but then you have to add the /translate. The translator interface is very simple. In the left box you write what you want to translate, and in the right box the translation will be shown. You can have the language detected automatically or choose by hand the one from which you want to do the translation and to which you are going to translate the text. When you make a translation, in the results field you will have a button to copy the resulting text, and another to listen to how it sounds spoken the translated message. And that’s how easy it is to use. Below the translator you have several options to alter text and rewrite it. These functions are not from the translator, but when you click on them they take you to ChatGPT with the prompt necessary to do that task. In Xataka Basics | How to create a character in ChatGPT and Gemini to use it in all the images you make with artificial intelligence

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