Model

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

What is, news, differences, and how to access the new artificial intelligence model of ChatgPT

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Let’s explain What is and what news brings GPT 4.5the new artificial intelligence model launched by OpenAI for Chatgpt. Two years after a GPT 3.5 that revolutionized the industry and the technological world, this transition model between GPT-4O and GPT-5 arrives. We are going to start this article explaining what GPT-4.5 is, in case you still don’t know what this type of technology is. Then, we will tell you the novelties that it brings and how it differs with ortho models. And then, we will tell you how you can access him and those who can do it. What is GPT-4.5 GPT-4.5 is the artificial intelligence model of GPT-4 successor. GPT models are the artificial intelligence engine under chatgpt, The technology that makes it work. Over time new versions are coming out, and each of them have improvements that then apply to Chatgpt. Therefore, you don’t change chatgpt, but you can choose between the different engines that make it work. Of course, some are free and others are paid, and some work in one way and others from another. In the case of GPT-4.5, It will be the last model without a chain of thought. Some alternatives such as GPT-4O They are able to reflect on your question and how to face the answer before answering. However, this new version does not, so it looks more like GPT-4 than to other later models. GPT-4.5 is The largest and most advanced language model Posted by Openai to date. Not only is it more natural, but it has A much higher knowledge base with which to be able to face more complex challenges in scientific disciplines. It also improves its ability to solve logical problems. But one thing you have to know is that we have a version of GPT-4 freefor now GPT-4.5 is going to be paidand only subscribers can use it. The logical thing would be to think that they later take out a “mini” version somewhat more limited to use free of charge, but for now there is no date for it. How is GPT-4.5 As we have advanced a little higher, GPT-4.5 continues to advance in the resolution of tasks, and thanks to having a greater knowledge base improves the responses of their predecessors in logical problems, and is able to answer better questions in scientific disciplines. In general, The less hallucin modeland it is more truthful in your answers, a logical improvement for each new version that is coming out. But one of its most differentiating characteristics is in Emotional intelligence. This model is able to detect the tone in which you write a message, and respond in a consistent way. For example, if you notice frustration in your message the answer will be calmer and diplomatic. In addition to this, shows more solidity in complicated questions whose answer is not clear. For example, if you ask what the language would tell you that Nolo knows, and will explain that scientists do not believe we know it because they were invented before written records. Then, it will give you a series of points about what is currently known. To get this, OpenAi has added New supervision techniques for the learning of your model, which bind to traditional methods such as the supervised fine adjustment (SFT) and learning by reinforcement based on human feedback (RLHF). In short, we have a model that will significantly improve the answersand also the tone with which it responds in the cases in which you write in an emotional way. How to access GPT-4.5 For the moment, GPT-4.5 is going to be a payment model. The first who can start using it are the subscribers of Chatgpt Prothe company’s 200 dollars plan. But from next week it will also begin to be available in the subscription Chatgpt plus of $ 20 and Team. For the moment Nothing has been said about a free version. Normally Openai always leaves their best models for those who pay, so it is logical to think that it will take a few months to launch a free version, and that it will have some type of limit when it arrives. In Xataka Basics | How to improve chatgpt responses: 9 steps to guarantee higher quality and better sources

Openai steps on the accelerator in the AI ​​race with its new and advanced language model

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The career for the development of artificial intelligence does not stop accelerating. In November 2022 we witnessed the launch of GPT-3.5the model that laid the bases of Chatgpt and marked a turning point in the The conversational. Almost two years later, we are facing the arrival of GPT-4.5a new evolution that aims to continue expanding the limits of this promising technology. We are facing a transition model between GPT-4O and GPT-5, but with a key role in OpenAi’s strategy. The company has decided that GPT-4.5 will be the last without incorporating “chain of thought”, giving way to a new generation with incorporated reasoning capabilities. This change seeks to improve the clarity of your family of products, that has become complex over time. A more advanced model, with greater emotional intelligence AI is reaching a point where we no longer settle for having models capable of solving complex problems. That improve in programming, science, engineering and mathematics is very good, but we look for models that can interact with more spontaneous way With humans. This makes us understand OpenAi with GPT-4.5. His new language model is presented as the greatest and most advanced published by the startup to date. The researchers affirm that it is not only more natural, but their knowledge base has expanded to face complex challenges in various scientific disciplines, while improving their ability to solve logical problems. GPT-4.5 wants to stand out for its emotional intelligence, and in a recent test it has proven to live up to it. A member of the OpenAI team tested his abilities by sending him a message full of emotion. With a natural tone and Without hiding your anger, He explained that a friend had canceled him at the last minute and asked for help to write a message that reflected his discomfort. Chatgpt with GPT-4.5 detects that the user is frustrated and, instead of enlivening the anger, he suggests a calmer and diplomatic message to express his discomfort without damaging friendship: “Hello, the truth is that it has annoyed me a lot that the plans have been canceled again, I really wanted to see you. Can we talk about what is happening?” To achieve this change, Openai has modified its focus on creating models. Not radically, but incorporating New supervision techniques Together with traditional methods such as the fine supervised adjustment (SFT) and learning by reinforcement based on human feedback (RLHF), which were already fundamental in the development of GPT-4. In development. Images | OpenAI In Xataka | Alexa+, first impressions: the explosion of AI feels great to the Amazon assistant. But there are also many unknowns

Anthropic launches Claude 3.7 Sonnet, a “hybrid” model that is better than ever. Not only that: also “reason”

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Anthropic has announced The launch and availability of Claude 3.7 Sonnet, its new model of founding. The jump is promising, but stands out especially for one thing: they point to reasoning models. It is not Claude 4.0, it is Claude 3.7. The number of the new version confirms once again that the jump of benefits does not justify a more “round” number. Many expected Claude 4.0, but in Anthropic they make it clear that this is a much more evolutionary version than revolutionary. A hybrid model. In Anthropic they presume from having a hybrid model that does not differentiate between whether to talk and answer questions quickly, reason or any other application, because everything is based on the Claude 3.7 founding model, which does everything and behaves in that way Multidisciplinary. And as it does everything, it is somewhat more expensive than the competition: its API costs $ 3 per million input tokens and $ 15 per million departure tokens Claude can already “reason”. In a separate announcement Anthropic told us about his new mode of reasoning, called “Extended Thinking Mode”, which now becomes a more option among which we can display when using its model. If we activate it, the model “will think more deeply about complex questions.” As those responsible explain, this mode uses the same AI model, but does so by giving it more time and investing more effort to reach an answer. How Claude thinks. This mode of reasoning offers the possibility of seeing what the model is thinking when processing those answers. Here they warn that this information can be surprising, because we can see how AI can “think” incorrect things, but also show that process does not mean that the answer is only based on it. “Our results suggest that models often make decisions based on factors that are not explicitly discussed in their reasoning process.” Things are saved. That is: the model seems to keep things for yourself while thinking, but it is not clear which or why. There is another reason not to show everything: that raises security problems, since having all that information potentially gives resources to bad actors to take advantage of the model of inappropriate forms. Source: Anthropic You can play Pokémon alone. The new Anthropic model is also more “agéntico” than ever. It responds better to changes in the environment and continues to act until an open task has been completed. That makes The “Computer Use” function which allows AI to control our computer to be increasingly promising. They demonstrated it with Pokémon: Claude 3.7 came much further than previous models. Claude Code arrives. The Anthropic model has always highlighted in the scope of programming, and now they wanted to promote that capacity with Claude Code, a BASDA tool in Claude 3.7 Sonnet but specifically focused on helping programmers to develop their projects. A programming agent. This could also be considered as Anthropic’s first agent, because Claude Code is able to complete programming projects autonomously without needing user interaction. Thus, Claude can search between basis with code on which to base, read and edit files, write and execute tests, publish the code in Github repositories and execute commands on a console while informing developers of the entire process. He Anthropic demonstrative video It allows you to check some of those functions. Similar to Grok3 in performance. The new Grok 3 presented these days by XAI showed one more step in its performance in the most demanding benchmarks today, and Claude 3.7 is also in that line, which means that It is something superior In those tests to models such as O1 and O3-mini (from OpenAI) and Deepseek R1. In Xataka | I have tried Deepseek on the web and in my Mac. Chatgpt, Claude and Gemini have a problem

What is and main novelties of the new artificial intelligence model of Xai

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Let’s tell you The novelties of Grok 3the new artificial intelligence model launched by XAI. This is the passage of Elon Musk’s company in the war to get the best chatbot of AI, and with which he adds to Grok reasoning capabilities. We are going to start explaining what exactly Grok 3 is, so that if you had never heard of it you can understand it. Then, we will explain the main differences of this model and why it is important. What is Grok 3 Grok is the name of the XAI artificial intelligence model, Elon Musk’s company. It is a model of AI like Gemini of Google or GPT of OpenAi. In the case of Grok, it is the model that uses the Chatbot Grok (yes, they have the same name) linked to the social network X, so much so that to be able to use it you need to have an account in this social network. As each artificial intelligence model, Grok 3 is the version released in February 2025, and that at the time of writing this article is the most modern version. So, It is a version that improves the characteristics of Grok 2and that offers more advantages. Just as other AI models are also evolving and improving, Grok does the same, trying not to be left behind in the frantic career of this technology. Elon Musk had promised a true revolution with this new version, although finally it is simply at the height of the competition. Another thing you should know is that Grok 3 is a family of models, with Grok-3 and Grok-3 Mini. The first is the complete model with all functions, and the second is a smaller one that offers balance between speed and quality of responses. What news brings Grok 3 The first difference is that while Grok 2 became free for all users, Grok 3 is going to be a payment modeland you will need to pay a subscription to use it. It will be available in the premium+ subscription of X, which costs 22.08 euros per month, or on an official new website that is not yet available in Europe. As for the model itself, the main novelty is that This model is able to reasonsomething we have already seen in the rest of the AI ​​models. With this, the AI ​​can generate more precise answers by analyzing the different response options before offering the final result. This reasoning capacity, as in other models, is optional. But if you choose it, another difference is that Grok 3 will hide the reasoning processesbeing less transparent than competition. Even so, it offers the possibility of generating multiple candidate responses. The other great incentive of this AI is that it allows Offer answers without filtersso some can be politically incorrect. This means that there will be very little self -censorship, and that you can ask almost anything. According to the companyGrok 3 has surpassed several competition models in benchmarks or test banks used to measure the AI ​​capacities. It has been above models such as GPT-4O, Deepseek V4 and Gemini 2 Pro in non-reasoning tasks Grok also improves in computational capacity, training with 10 times more computing capacity than Grok 2, and has been trained with a powerful 100,000 GPUS NVIDIA H100 cluster. In parallel to Grok 3 we have Deepsearch, which becomes the artificial intelligence -based search engine, and that Grok 3 will use. It is a tool that functions as a chatbot capable of reasoning, and that can navigate online and create Detailed reports to offer in -depth information on topics you ask. In Xataka Basics | Grok guide: 32 functions and things you can do for free with X artificial intelligence

The owner of a Tesla Model and has filled his roof of solar panels to load “up to 100 km”. It is not a good idea

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He Solar car It’s like gold for the electric car. There, all wishes will be fulfilled: we will load our cars free of charge. End of the bonds of electric and oil forever. But we are so far from getting something like the gold appears in our lives. Different companies have proposed to experiment with the solar car and even sell their own models. Toyota, with the PRIusit filled the roof of it so that its plates would help the electrical components of the car. Mercedes, in his EQXX visionhe has played with the same idea. And, despite everything, from Sttutgart to Silverstone, a trip in which they toured more than 1,200 kilometersthey barely managed to extend the autonomy of the vehicle in less than 50 kilometers. But the Marketing From a solar car is very far. In the PRIus He contributed little. The Mercedes is a prototype designed to look for the limits of efficiency, both in aerodynamics and in chemistry of its batteries and consumption of its engines, so it is not too representative either. The 3.57 kWh recovered by the solar panels yielded much more in a vehicle of these characteristics than in a street car. Sono Zion, one of the most advanced projects, He ended up canceling. Those responsible for Lightyear, who said they were able to travel for free 70 kilometers daily with their solar car, have also ended by Lower the blind. In fact, since the vehicle was announced in 2019, its managers did not stop lowering expectations and, with them, the number of kilometers per year that the car could travel thanks to its solar panels. But all this has been no impediment to the owner of a Tesla Model and that ensures in Reddit having made your electric SUV a much more efficient vehicle thanks to some solar panels distributed along the ceiling. Figures that, of course, you have to take with tweezers. Putting it in quarantine As he has counted in a thread of Redditthis owner of a tesla model and ensures that he has designed a system of Foldable solar panels that allow you to load every day between 30 and 100 kilometers a day. In the presentation of his project, the user explains that the panels are folding and installed on the roof baca. He assures that in this first version, the panels stand out about 27 centimeters from the ceiling of the vehicle but that, in a new version in which he is working, he will reduce the height to about 15 centimeters, improve the flush and create a carbon fiber support To lighten the set. In total, the Tesla Model and can carry in the future, always according to the user, 4,000 W packaged On the roof, which once deployed can recover part of solar energy, transform it into electricity and recharge the car while it is parked. But many doubts arise here. First, he assures that He is working So that the solar energy is transformed into electric and goes directly to the car battery so, we understand, for now the energy is stored in a battery that subsequently recharges the vehicle. The other great doubt that arises is about the true efficiency of the whole. In 2019Toyota created a prototype of the PRIus that filled the entire roof, the rear window and the hood of the solar panel car. A surface that generated 860 W. With them, Toyota said he could travel some 45 extra kilometersbut they were based on the Japanese homologation cycle, much more lax than Europeans. In the case of Tesla Model and, the weight of the panels touches the maximum of 75 kg that in the United States can move on the ceiling, so it will irremediably affect consumption. First of all, those 75 kg of weight, which is more or less like going with one more person in the car. And, much more critical, for the impact on automobile aerodynamics, which would be very damaged. The creator says that he has not calculated the latter but believes that consumption worsens at 10%. All this has led some Work reviewers To affirm that the car can barely travel a little more than 40 kilometers under real circulation conditions. That without entering into the impact that the solar panels have on the dynamics of the vehicle and the march comfort, because it must be difficult to ignore the generated noise. In Xataka | The accounts (impossible) to get an autonomous solar car that is recharged only with sunlight In Xataka | This electric SUV moves only with solar energy. And just arrived at the Sahara after traveling 1,000 kilometers Photo | Somid3 *An earlier version of this article was published in January 2024

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