Model

If you are looking for a good iPhone, a lot of eye at Mediamarkt’s last offer in this model compatible with Apple Intelligence

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Mediamarkt has launched a new campaign, this time called “April, save“, in which we can find very good offers in mobiles. One of the best is the one that has the iPhone 16since by 839 euros We are facing a new minimum historical price of the store in its 128 GB configuration. Not bad considering that recently arrived Apple Intelligence To this mobile. * Some price may have changed from the last review A minimum historical price in Mediamarkt For this price, the iPhone 16 It is, together with him iPhone 16Eone of the best ways to launch ourselves to the current generation of Apple mobiles. Among its specifications we find some interesting sections, such as your screen Super Retina XDR OLED of 6.1 inchesan ideal size for those looking for a compact mobile. Internally we have the Apple A18 which offers good performance and great power in practically all times. To this we must add that it comes with 128 GB of storage and that it is Compatible with Apple Intelligence. In addition, it has a load for MagsafeDynamic Isand and IP68 certification. As for its photographic section, by the front it comes with a 12 MP True Dept Front camera, while we find ourselves so much with a main 48 MP sensor as with an ultra wide -angle sensor of 12 MP. Other iPhone that we can find very cheap in the Mediamarkt outlet Apple iPhone SE (3rd Gen.) – Restored article – Article Temporary Exhibition, can contain slight brands * Some price may have changed from the last review Apple iPhone 11 – TEMPORARY EXPOSURE ARTICLE, may contain slight brands * Some price may have changed from the last review iPhone 15 Plus – Open, unused, exhibition article * Some price may have changed from the last review Apple iPhone 14 – Exhibition unit, in perfect condition. 88% battery * Some price may have changed from the last review You may also be interested in these accessories for the iPhone 16 Jetech Mate found for iPhone 16 6.1 inches, antigolpes Protection against military grade falls, translucent shear rear housing, antihuellas (blue storm) * Some price may have changed from the last review Apple Airpods 4 Active noise cancellation, wireless headphones, Bluetooth, adaptive audio, ambient sound mode, custom space audio, USB-C load case and wireless load * Some price may have changed from the last review Some of the links of this article are affiliated and can report a benefit to Xataka. In case of non -availability, offers may vary. Image | Pedro Aznar In Applesfera, Apple In Xataka | Best iPhone. Which to buy in 2025 and recommended models based on budget, tastes and quality price In Xataka | The best mobiles (2025), we have tried them and here are their analysis

The new Meta Model took a very good score at the benchmarks. Maybe too good

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We had been waiting for the new family calling 4 artificial intelligence models for a long time. Last weekend the company finally revealed those models and Everything seemed promising. The problem is that the way of announcing them is generating some controversy and an uncomfortable conversation: that perhaps they have cheated in the benchmarks. Call 4 seems great. As soon as they appear on the scene, the new models call 4 goal surprised by their excellent performance in Benchmarks. They were second in the ranking LMARENAonly below Gemini 2.5 pro experimental. However, suspicions soon appeared, because the flame 4 version that is available to all audiences was not the same as it was shown in that ranking. Trucada version? As indicated in the advertisement As a finish line, that flame 4 version was an “experimental” that obtained a 1,417 points in LMarenawhile Gemini 2.5 Pro experimental had obtained 1,439 points. Some experts pointed out that this experimental flame version 4 was a version that cheated and had been specifically trained with data sets used in Benchmarks to be able to score well in them. We have not cheated.Ahmad al-Dahle is the head of the generative division in the finish line, and therefore is in charge of the flame launch 4. This manager has denied sharply The rumors that point to what goal would have cheated to get better scores in the benchmarks. These rumors “are false and we would never do that,” he said. But it was “optimized”. As indicated In TechCrunchin that official announcement Meta did pointed to the experimental flame 4 model that had scored very well was “optimized for conversation.” In Lmarena They indicated What a goal should have explained better what type of model had sent to include in the ranking. The same calls 4 is not so good. Some experts who They analyzed flame performance 4 with synthetic or conventional tests They already warned that performance It didn’t seem so good As they claim in goal. The publicly available model showed a behavior that He did not adjust to the quality that pointed its score in LMarena. Not quite consistent. Al-Dahle himself confirmed that some users were seeing “different quality” results of Maverick and Scout, the two flame versions 4 available, depending on the supplier. “We hope that some days are late when public implementations are adjusted,” and added that they would continue working to correct possible errors. A rare release. What a goal this model will launch a Saturday is strange, but when asked about it Mark Zuckerberg He replied that “is when it was ready.” That also the model used in LMarena is not the same as people can use is also worrying, and it may begin to distrust us from benchmarks and companies that use them to promote their products. It is not the first time that This happens Not much less, and it will not be the last one. In Xataka | Openai is burning money as if there were no tomorrow. The question is how much can endure like this

The traditional couple model is in crisis. And it has translated into more people eating alone in restaurants

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Eating is a necessity, a pleasure … and also (in your own way) A social act. Around the tables we celebrate, remember and honor. We remain for dinner in our first events, to celebrate birthdays and promotions, the arrival of the New Year or say goodbye to that friend who moves to another city. Eating has always been synonymous with sharing, especially if we do it in a bar, where it also becomes a public act, exposed to unknown looks. Or at least so it was until now. Table for one, please. It is very simple. He arrives with any restaurant at rush hour and observing the room: There are more and more people eating alone. And not by obligation or because he does not have anyone to share dinner. On the contrary. We do it by choice, to enjoy loneliness and backs to the stigma that until not so long persecuted those who sat alone at tables that were designed precisely to gather large groups. Impressions … and data. As with most trends, there are studies and percentages that help us better understand their scope. Although finding a site to eat alone It is not always simplein the OpenTable US calculates that the reserves for a single diner 64% have shot Since 2019. Moreover, between 2022 and 2023, Resyanother New York reservation platform, calculates that requests of this type increased by 21%. They are forceful percentages and it is not unreasonable to think that they are short. After all, both opening and resy register only those who reserve in advance, not those who appear in the premises without calling before. Is there more data? Yes. And although there may be variations from one study to another, most point in the same direction. In 2024, opening calculated that the alone dinners in the United Kingdom had experienced a year -on -year increase of 14%percentage that in the case of Manchester stretched until reaching 23%. Other studies They also talk that the ‘Only Dining’ He has gained weight in Germany and Japan or that the number of Americans who recognize having recently has grown by 53% In just two decades, between 2003 and 2023. And Spain? There are some indicators that suggest that Spain does not remain oblivious to that trend. In 2022 Mapfre published A FOOD REPORT in which he revealed that, although most of the Spaniards continue to enjoy the family meals, between 2017 and 2022 the number of people who sit at the table without company, especially during working days, increased 5%. In 2020, in full pandemic, Thefork also perceived that the reserves for a single person had grew by 4% In our country. Of course, they were still a minority. In an attempt to go further in 2024 Reasonwhy did A poll Among several restaurant chains with presence in Spain that showed that, at least in part of them, it is increasingly common to see customers without company. Well because they are more or because those who already ate alone before do it now more often. Alsea, behind Vips, Ginos or Foster´s Hollywood, requires that 7% of Foster´sy customers 18% of those of VIPs eat without anyone next. And what is the reason? The right thing would be to talk about reasons, in plural. When analyzing the trend, so much The sector As analysts usually coincide in certain factors that have clearly influenced customers. Above all there are two: pandemic, with its restrictions and fear of infection; and a cultural change that leads us to look with other eyes to those who sit in a restaurant without a company. “That a person was lonely has always been might, but now that taboo to exhibit loneliness has broken,” Notice in The country José A. González, anthropologist. “It was growing before pandemic, but now it has been strengthened because we have become accustomed to being alone,” agrees Chef Lola Marín. “In addition, it was unthinkable that a woman was alone to eat or take a wine to a bar. Luckily it is now more common.” Even in networks They can be found Videos of people who presume that: to enjoy their dinner alone. Generational issue? There are those who believe that there is another factor that has influenced so much or more than the COVID: the change of mentality that accompanies the Z generation and the Millennials. Whether or not the truth is that the trend is accompanied by a transformation of Spanish society itself, in which It is increasingly common meet people living alone. If the INE forecasts do not fail in 2039 there will be some 7.7 million of unipersonal homes, 33.5% of the total. Question of loneliness (s). That we normalize loneliness does not mean that all loneliness is the same or all its positive effects. In fact it also carries certain challenges, as I collected recently An article of The New York Times in which a curious relationship is pointed out: in the US the increase of the people who eat alone has coincided with a worsening of the country’s general happiness index. The reason: not all loneliness is deliberate. The professor of the University of Oxford Jan-Emmanuel de Neve even It goes further and reflect on the implications that excessive isolation can have. “That we are increasingly socially isolated also assumes that we do not test our ideas about the world with other people,” he says. The result, in his opinion, is an amplification of echo chambers and polarization. Image | Ismail Hamzah (Unspash) In Xataka | More and more Spanish bars refuse to pay at the table. Its objective is very simple: greater rotation

will launch a model that was not going to see the light

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If you use Chatgpt frequently, most likely you are interacting with GPT-4O, the model that is activated by default. However, it is not the only one. When displaying the model selector, several alternatives appear: from specific versions of GPT-4O Designed for programming up to GPT-4.5, options centered on reasoning and other models in the test phase that are not directly available in the chatbot. The problem is that this growing variety is generating some confusion: The nomenclature has become little intuitive And many users are not clear which model is the most appropriate for each task. Sam Altman, CEO of the artificial intelligence startup (AI), recognized the problem in mid -February and announced a road map focused on simplifying its product offer. Now we know that this plan has encountered obstacles. The original promise. Although Openai presented the O3 family in December last year, only the O3 Mini variant, focused on offering better performance, ended up reaching the public. In its new road map, the company said that the full version of O3, capable of obtaining scores similar to those of human programmers in certain tests, would not be launched as an independent model. According to the updated plan month and a half ago, GPT-5 would integrate part of the technology developed by the company, including the O3 reasoning capabilities. In theory, that would help order the models ecosystem. As part of that strategy, GPT-4.5 would mark a turning point: the latest model without “chain of thought”. That is, from there, all new OpenAI models would have integrated reasoning. There come the changes. Part of what we have just seen in the previous lines will no longer be fulfilled. And it is not a filtration or a rumor: It has been Sam Altman himself Who has confirmed it in a message posted in X. “Change of plans: after all, we will probably launch O3 and O4-mini in a couple of weeks, and then we will do GPT-5 in a few months,” he said. In summary: O3, which was discarded as an independent model, you will see the light. Click to see the original message in x The executive has also dropped some interesting details. On the one hand, as can be seen from the previous message, both O3 and O4-mini will be available soon. In addition, he confirmed that GPT-5 will not take long to arrive, presumably this year. Of course, there are no concrete dates, and it remains to be seen if in that margin of time we will attend another unexpected turn, such as the one we are witnessing now. What is behind the change of plans? The big question is what has happened in OpenAi to produce this new unexpected turn. It is not a radical change, but it arrives at a delicate time: the American company is building a solid reputation around its ads and its real ability to fulfill them. Such a movement can weaken that trust, as valued by both users and investors. In relation to change, Altman explained that “there are many reasons for this, but the most exciting is that we will be able to make GPT-5 much better than we originally thought.” Far from staying in an optimistic statement, he also admitted that integrating everything without problems was “more difficult than we thought” and that they wanted to make sure everything tied, especially because they expect “an unprecedented demand.” More challenges in Openai. It is no secret that Openai is subject to increasing pressure. The startup, which initially grew with the support of Microsoft, competes to maintain its leadership position in the development of AI and to ensure the necessary financing to sustain its ambitious rhythm. To all that is added a challenge not less: guarantee access to the computing capacity that your projects require. Images | OpenAI | Screen capture In Xataka | In Anthropic they have become obsessed with some trivial but key appearance for AI: that Claude will pass ‘Pokémon’

That a model of AI is stuck playing something as basic as ‘Pokémon’ seems worrying. It is not at all

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It was 2013 and almost no one had heard of Deepminda small artificial intelligence startup. His researchers came up to make their AI system learn to play (already win) video games, and They trained her with some titles of the old Atari console. Among them was ‘Breakout’ (in Spain it appeared as ‘Arkanoid’), and A video of the time It shows how after 10 minutes playing the machine did not know just anything. After two hours of play, yes, I already played as an expert. But at four o’clock something amazing spent: The machine discovered a “trick” To maximize the effort: it made the ball end up creating “a tunnel” and then cast the ball through that tunnel so that it would not stop bouncing and ending almost the entire level effortlessly. Since then using video games to train AI models or to check if they are able to adapt to them and complete them is common in the industry. It is precisely what Anthropic tried when a few weeks ago Claude 3.7 launched. This hybrid model of AI has proven to be a notable advance in areas such as programming and reasoning, but in Anthropic they wanted to test it with a singular test: To play the ‘Pokémon’ video game. The AI ​​is stuck In this experiment those responsible for Anthropic wanted to evaluate whether the AI ​​systems “can face challenges with increasingly complex competences, not only through training, but of generalized reasoning.” Claude’s previous versions had a bad time even trying to start playing from the video game’s beginning screen, but Claude 3.7 Sonnet’s “expanded thinking” allows the new model «Plan in advanceremember their objectives and adapt when the initial strategies fail »in a way that their predecessors did not do. For those responsible for Anthropic these improvements will end up helping to solve real world problems. It is something we are also seeing With the benchmark arc -agi 2which is precisely aimed at measuring the ability of the Ias to do things that are easy for us (controlling a video game, solving a visual puzzle) but these models are especially difficult. Source: Anthropic. The advance of Anthropic here is remarkable, but is far from being able to be considered a success. In fact and how they comment In Ars Technicathousands of spectators have proven On the Twitch Channel created by Anthropic how Claude stayed totally stuck in Mount Sléniteone of the video game sections. In that channel you can also see how Claude is still trying to solve the problem and advance. “Think” and “reason” and even shows what “thinking” and “reasoning”, but the model still does not overcome that video game. And despite everything, this is a great achievement of AI Taking into account that the video game is oriented to children, it seems easy to despise the achievement of Anthropic, but these advances must be valued very positively. To start, Claude 3.7 model used to play was not “pressed” to play the video game: I had to learn about the march and adapt to the game. Here also Claude “sees” the screen and what happens to react based on that analysis. And the problem is that The ‘Pokémon’ graphics are very basic and pixelatedwhich raises an even greater challenge for the Anthropic model: with better graphics it would probably behave much better, explained one of those responsible for the experiment. Even so, Claude behaves especially well in the parts of the game in which text is shown, something that allows this model to better recognize what he needs to do in that phase of the video game. But if there is a serious problem, that is also that of memorization. Claude has trouble remembering everything you have learned: It has a limited “memory” Of 200,000 tokens and when they exhaust Claude, they resort to summaries and condense the information, which can lead to eliminate small details that are important to advance in the game. Be that as it may, the achievement of Anthropic remains remarkable, and points to a future in which these models can play autonomously and do so exceptionally to all kinds of games. As Deepmind already did it with that simplistic version of the ‘Arkanoid’, but in a big way. In Xataka | The latest Google is an AI that plays video games. THE KEY: DOES IT UNDERSTANDING NATURAL LANGUAGE

Runway promises to overcome her with her latest Gen-4 model and challenges Sora de Openai

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Than the generative modelss are achieving increasingly shocking images and videos is no surprise. A few years ago, producing something similar would have required a great manual effort. But it should not lose sight of a reality: although this technology advances at high speed, it still drags important limitations that hinder its use in certain professional environments. One of the great challenges for creators is to maintain visual coherence in the results. In ambitious projects, the generative AI usually has difficulty representing consistently to the same character or object in different planes or environments. Although changes may seem subtle, they are not always easy to manage. Of course, there are those who work to solve it. Runway Gen-4 arrives with coherence as a key piece Runway returns to the load. The Startup based in New York has presented Gen-4its new video generation model. The great novelty: a significant improvement in visual coherence, One of the weak points of models like OpenAi Sora. With this advance, the idea is that creators can build longer narratives without fighting with visual jumps between plans. Gen-3 Alpha, the previous model, already offered a notable level of detail and control. But with Gen-4, the proposal rises level. It is now possible to generate characters, locations and consistent objects throughout multiple scenes. Once the appearance, style and atmosphere are defined, the model maintains those elements unchanged, frame by frame, and in multiple scenes. Gen-4 allows you to use visual references combined with instructions to generate images and videos with styles, locations and topics coherent. In addition to this continuity, the model seeks to highlight for its ability to create dynamic videos, with realistic movements and a remarkable consistency in characters, objects and style. According to Runway, his understanding of the world is “the best of his class.” The best example is found in the video that accompanies this article, one of the many shared by Runway to show Gen-4 capabilities. If we refine our eyes, it is evident that these are synthetic scenes, both in the image and in movement. Even so, it represents a remarkable leap for audiovisual productions that are willing to accept this type of aesthetics. Gen-3 Alpha had already made its appearance in productions such as ‘House of David’, by Amazon Prime Video, and in Puma ads. Now, GEN-4 begins to deploy in Runway’s payment accounts, allowing to generate five-second and ten seconds clips In 720p resolution. Prices range from $ 15 to $ 95 per month, with an Enterprise option for companies, whose cost has not been revealed. Images | Runway In Xataka | The fever for the chatgpt images is “melting” the OpenAi GPUs: the company has already begun to limit access

Meteorological forecasts are a private preserve. A new AI model wants to democratize the prediction of time

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A group of researchers has just raised a most striking option: democratize meteorology. Your new weather prediction system challenges traditional systems, very expensive in computational resourcesand make use of AI so that (almost) any of us can become a meteorologist who performs his own personalized predictions. Aardvark Weather. This is the name of a new system of weather predictions that according to those responsible will make any researcher with a desktop PC in a full -fledged meteorologist. The system makes use of AI algorithms and raises an alternative to the conventional systems they use thousands of times more computing capacity. Homemade predictions. The normal thing is that a weather forecast platform takes several hours to process a prognosis. For this, it also needs supercomputers and a team of experts who develop, maintain and display those forecast systems. Aardvark Weather allows you to train an AI model with data from Meteorological stationssatellites, ships or airplanes worldwide and then make predictions based on that data. The investigation. The study Published in Nature this week comes from a group of researchers from the University of Cambridge, the Alan Turing Institute, Microsoft Research and the European Center for Medium-Russian Weather Forecasts (ECMWF). In it they explain how the numerical weather prediction (NWP) is being replaced For automatic learning and neuronal networks that allow “improving the speed and precision” of the prediction. Hyperlocalized forecasts. Among other things the system would allow to offer hyperlocalized forecasts and adapted to specific industries. Richard Turner, automatic learning professor at the University of Cambridge, explained In The Guardian how this model could be used to predict temperatures for agricultural crops in areas of Africa or The wind speeds For a renewable energy company in Europe. The time in the next eight days. Turner adds that the model could be able to generate precise forecasts for a range of up to eight days in the future, when it is normal for precise forecasts to only be guaranteed to five days. Rapid. This system is capable of generating a complete forecast from observational data in a second when processing it in four NVIDIA A100 GPUS, when 1,000 hours-nodo is normally taken in the HRES model of the ECMWF. Ideal for developing countries. There are regions in which these types of forecasts are especially important, and having a “personalized” system would be very useful. Aardvark Weather offers that option according to its creators, because both its implementation and its use is much more accessible. Previous attempts. At the end of 2023 Deepmind precisely Graphcast announceda meteorological prediction system based on AI that had an operation up to 1,000 times cheaper in energy consumption. Its precision was in fact greater than the best of current systems, but it does not seem that development has been implemented in practice. A few months ago Deepmind researchers presented their evolution, called Gencastanother prediction based on automatic learning that improved its predecessor and that of course competes with Aardvark Weather. Everything therefore points to this type of systems are gaining ground and interest, but remains to be seen if they apply massively. Image | Brian McGowan In Xataka | Meteorological prediction will improve a lot in Spain: Aemet has invested 25 million euros in it

The O1-PRO model of Chatgpt Pro is 140 times more expensive than the Chatgpt O3-mini. What is not clear is that it is much better

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Paying $ 20 per month for accessing Chatgpt Plus did not seem too serious. The thing began to get interesting when Openai launched its chatgpt pro subscription at 200 dollars a month. But now there is an even more expensive version of these models, and this again shows that we are at the beginning of a worrying slope: that of AI prices. What happened. OpenAI He has just announced That O1-Pro, the most powerful version of its reasoning model, is now available through its API. Until now it was only possible to enjoy it in a limited way through the subscription to Chatgpt Pro, but now the developers can also create services with it. The striking is not really that the company offers this version, but the price at which it is available. 140 times more expensive than O3-mini. As we said, O1-Pro is only limited to Chatgpt Pro users. If someone wants to use it intensively through the API, prices They are really high: O3-mini O1 O1-PRO Price for 1m tokens input (dollars) 1.10 15 150 Price for 1m tokens output (dollars) 4.40 60 600 As can be seen, O1-Pro is 10 times more expensive than O1, and about 135 times more expensive than O3-mini, which is the version of the reasoning model that for example we can use (limitedly) in the free version of Chatgpt. Gold Price Tokens. That cost imposes an important barrier for those who want to use this AI model for projects in which we introduce a lot of text and want to obtain a lot of text. For example, if we want to analyze a lot of documents and We saturate The input context window (200,000 tokens) and the output (100,000 tokens), we will have a cost of $ 90 … for a single question and an answer (an API request). But is it really so good? Preliminary O1-Pro impressions in Chatgpt Pro They were not especially striking according to whom They have tried italso They have protested for one falling quality. According to Openai O1-PRO, it offers “responses that are better consistently”, and highlight that it is an O1 version that uses more calculation power to “think more and offer even better responses to the most complex problems.” For asking not to be. IA companies are losing a money training their models, but they hope to recover it with a simple technique: increasingly faces. Data leaked in The Information also pointed out how Openai were already raising how an AI agent could replace a “human doctorate” to investigate, the cost would be $ 20,000 per month. They seem faces, but maybe they don’t. Of course, the price of these subscriptions and these accesses to the API may seem expensive, but they can also be a true bargain. What matters here is the profitability that we can get out of these models of AI: if they help us generate many more income, we will end up having “robotic employees” who work 24 hours a day, seven days a week and also do so with a productivity and quality of theoretically extraordinary work. But of course, we will first have to use them like this … and ensure that these results are effectively valid, something that for now does not seem so clear. In Xataka | AI agents are promising. But as in Tesla’s FSD, you better not take your hands from the steering wheel

The European model will never be the same

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The European Commission has required Apple to open nine basic functions of iOS to developers and external manufacturers, transforming the iPhone experience in Europe. As we explain in Xatakathis decision represents the first great coup of authority of Commissioner Teresa Riberawho has also rebuked Google to favor their own services in the search results. Beyond the news, We are facing a turning point: The iPhone in Europe will never be the same. Why is it important. This intervention will directly affect the experience of millions of European users. Functions that have defined the exclusivity of the Apple ecosystem – as Airdrop, AirPlay or absolute synchronization with Apple Watch – will soon be available for competition products, altering the very essence of the iPhone as we know it. We are not facing a simple legal requirement, but before a forced redefinition of what an iPhone in Europe means. Between the lines. The European Commission has accurately identified where the opening hurts more. The selected functions are not casual: they are precisely those that create the “Blocking effect“That keeps users within the Apple ecosystem. When opening these characteristics, the EU not only seeks to encourage competition, but systematically dismantle the barriers that Apple has built for years to retain users. It is a direct attack on the company’s strategy. What is happening. For the first time, regulators are specifically dictating how IOS should function, with a detailed implementation calendar: Notifications should be shown in third -party watches by the end of 2025. The automatic device change will work with third -party headphones for June 2026. And the alternatives to AirPlay must be available by the end of 2026. This means that iOS 19 and 20 will include functions and APIS that Apple would never have voluntarily implemented, creating a very different operating system from that in the rest of the world. The big question. Is this “open” iPhone better or worse for European users? The answer depends on what we value the most. On the one hand, interoperability will allow greater freedom of choice and potentially more competitive prices. A user can buy third -party headphones that work as well with their iPhone as the AirPods, or a clock that access the same functions as the Apple Watch. On the other hand, Apple warns that forced opening compromises privacy and security. The non -encrypted transmission of notifications to external devices, for example, could expose sensitive information. In addition, the resulting fragmentation could degrade the integrated experience that many users value. However, in the past we have seen movements that seemed unthinkable ( options for sharing in iOS 8the recent arrival of emulators wave forced appearance of third -party stores) that they have not had the dire consequences that were raised. The threat. The greatest risk for European users is to become second -category digital citizens. Apple has already demonstrated its willingness to delay functions in Europe, as happened with Apple Intelligence in general or with iPhone Mirroring in particular, and could intensify this strategy. If the company considers that the EU requirements compromise its platform too much, it would not be surprising that future innovations arrive first – or exclusively – to less restrictive markets. Or to the rest of the world. European users could face a dilemma: more options but less innovation. In summary. The European iPhone will never be the same again. The question is whether that will be for better or for worse. What is clear is that we are witnessing a historical transformation in which regulators have decided to actively redesign the most influential product of what we have of the century. The result of this experiment will define not only the future of the iPhone, but possibly that of all technological regulation. In Xataka | Apple has been trying the idea of ​​an “without ports” for years. Right now is more a utopia than a reality Outstanding image | Wikimedia, Apple, Xataka

Germany gets serious with nuclear fusion. His energy model shouts that this ‘Stellarator’ reactor works

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The experimental reactors of nuclear fusion of type Stellarator They represent a very solid alternative to Tokamakas ITER either JET. And they are not precisely the result of a recent investigation. In fact, both designs were designed During the 50s of the last century. He Stellarator It was designed by the American physicist Lyman Spitzer and exercised as the foundations on which the Plasma Physics Laboratory of Princeton University (USA) was built. The design TokamakHowever, it was devised by Soviet physicists igor Yevguénievich Tamm and Andréi DMítrievich Sájarov from the ideas proposed a few years before by his colleague Oleg Lavrentiev. Both reactors were conceived with the purpose of confine Stellarator He received great support from the scientific community in the West due to its enormous potential. However, when Soviet and American scientists published their results and compared them, they realized that Tokamak design performance It was one or two orders of magnitude better than that of Stellarator. From that moment on, this last design was largely marginalized. The most obvious difference between one and the other lies in its geometry, but it is enough to investigate both to realize that the reactors Stellarator They still have a lot to say. Proxima Fusion has put a date to its demonstration fusion plant Type reactors Tokamak They have a toroid form (or donut), and Stellarator They have a more complex geometry that resembles them to a twisted donut on itself. However, the fundamental difference between these two designs is that the reactors Tokamak They require that the magnetic fields that confine plasma be generated by coils and induced by plasma itself, while in the reactors Stellarator Everything is done with coils. There is no current within the plasma. This means, in short, that the latter are more complex and difficult to build. In February 2023, the Wendelstein 7-X reactor managed In Europe we have a type fusion reactor Stellarator extraordinarily promising: el Wendelstein 7-X. It is installed in one of the buildings that the Max Planck Institute has for Plasma Physics in Greifswald (Germany), and its construction concluded in 2015. The first tests carried out in this fusion reactor between 2015 and 2018 came out as planned, so in November of this last year An important moment arrived in his itinerary: It was necessary to modify it to install a water cooling system that was able to evacuate more effectively the residual thermal energy of the vacuum chamber walls, as well as a system that allowed the plasma to reach a higher temperature. The works that required these modifications concluded successfully in August 2022. And in February 2023 the Wendelstein 7-X reactor reached an important milestone: it managed to confine and stabilize the plasma for 8 uninterrupted minutes in which it delivered a total energy of 1.3 gigajultos. During the last two years everything learned in the development and the first tests carried out in this machine has been used by the German emerging company Proxima Fusion. In fact, its founders come from the Max Planck Institute for Plasma Physics. His work is being financed by Germany, the European Union, and also by several private entities of venture capital. And it’s going very well. In fact, fusion physicists and engineers have published a scientific article in Fusion Engineering and Design which has already been reviewed by pairs and in which they detail the design of Stellaris, its reactor prototype Stellarator commercial. Your next step requires Build a demonstration power plant From its design that should be ready in 2031. Yes, in just six years. I hope you get it. If Alpha, which is what this test power plant will be called, the commercial fusion energy will be a reality before the next decade is completed. This is the authentic purpose of next fusion. Image | Proxima Fusion More information | Fusion Engineering and Design In Xataka | In France, an alternative to Iter in Nuclear Fusion is being cooking: a commercial ‘Stellarator’ reactor

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