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How to find free, open source or one-time payment alternatives to subscription services with this website

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Do you want to reduce the number of subscriptions you pay? Let’s tell you how to find the best alternatives to programs and applications that require a subscription. Among the alternatives you will have open source services, free or that only require a single payment. We are going to do this with one of those pages that should be saved in favorites. It’s about the web nosubscription.organd we are going to teach you how to use it to find your alternatives. The best alternatives to subscription services NoSubscription is a project with a manifesto in which they believe that users should own their toolsnot renting them with monthly subscriptions. For this reason, those responsible for the website say their mission is to find, verify and promote the best software and services that you buy with a single payment, free and open source. All you have to do is enter nosubscription.organd at the top use your search engine. In it, you can write the name of the subscription tool you want to replacebut also the category of the tool or application. When you type a name, the results will appear with the best alternatives. Notice that below the name it appears which services are alternatives for, because sometimes it can appear out of order. Then, The type of price will appear in green that is, as if it is free or even the total price if it is a single payment. And if you write a category, such as Socialyou will see that alternatives appear and in each one for which service or social network they are a substitute. you will also see What operating systems do you have apps for?with the logos of each one or a globe if used by browser. You can also look for alternatives to other applications popular ones, like Chrome, social networks, operating systems, whatever. When you click on one of the services you will go to its file. In it you will have a description and a list with its key features. On the right you will see its category, the type of application or service it is, where it is available and a button to go to the official website in case you want to find out more. In Xataka Basics | European alternatives to Gmail and Outlook: the best email providers made in Europe

Vibe coding wants to help Open Source. But developers don’t want AI botches

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If you like Open Source software, vibe coding now gives you a fantastic opportunity: to take that code and modify it to your liking with the help of vibe coding and the AI ​​agents that program. Let them tell it to me. You may have good ideas and the AI ​​will solve them with new code generated with these tools, but there is a problem: the quality of that code may not be adequate. what has happened. Steve Ruiz (@steveruizok) is the creator and responsible for TLDrawa nice Open Source application that allows you to turn your browser into a canvas so you can easily draw whatever you want on it. On January 15, Steve posted a message on X in which he announced something very striking: he would stop accepting code contributions (pull requests, PRs) in the TLDraw GitHub repository. We don’t need low quality code. “Due to the influx of pull requests of low quality, we will soon close those requests to external contributors,” said the person responsible for a project in an additional post on the official blog of the project. The message was clear: although people’s intentions are surely good when trying to contribute their ideas to an existing project, this developer soon realized that the code contributed by new programmers, fans of vibe coding, was of low quality. Solution? Ban those contributions made with AI. AI-generated code can serve. In that article I indicated that this was not a measure against vibe coding, but against code (any code, human or AI) of poor quality. Ruiz explained how: “We already accept code written with AI. I write code with AI tools. I hope my team uses those AI tools too. If you know the project’s code base and know what you’re doing, writing great code has never been easier thanks to these tools.” AI Slop, but from code. Although we often talk about “slop created by AI“(AI Slop) in reference to low-quality text, images, music and videos, the term can also be applied to code. Ruiz explained how in September he began to detect many requests for code contributions that seemed correct but that after a deeper analysis, although they worked, could potentially introduce future problems and complexity to the project. I correct here, I correct there. In addition, many of the contributors had profiles in which they could be seen jumping from Open Source project to Open Source project and then disappearing. They simply contributed without following the policies or requirements of the project and moved on to another. This is a plague. In the debates that this decision generated in Hacker News and x Ruiz found himself with a surprise: people not only did not protest, but they valued the measure positively. He commented how “this seems to be the standard experience for all public repository maintainers right now.” He cited the example of Excalidrawanother similar project that “received more than twice as many PRs in the fourth quarter of 2025 than in the third” in your repository. More and more vetoes of low-quality AI code. Other projects are going through that same phase. ghosttya terminal emulator for macOS and Linux, recently published their “AI policy” in the site’s public GitHub repository with important notices. For example, that “PRs created by AI must have been fully verified with human use”, and further that “all use of AI in any way, shape or form must be disclosed.” That’s cheating. Curl, a very popular utility for command line users, had announced the opening of a bounty program to detect bugs and vulnerabilities in its code. What have many people done? Use AI to find them and take the money. Those responsible for the program have announced that They will close it this month in the face of the avalanche of low-quality vulnerability reports clearly generated by AI. Linus already said it. Linus Torvalds, creator of the Linux kernel, admitted to using vibe coding tools for some small personal project. While recognizing that these tools can be great, he warned of the danger of all that AI-generated code: “AI will be a tool, and it will make people more productive. I think vibe coding is great for getting people to start programming. I think (the code it generates) is going to be horrible to maintain… so I don’t think programmers will go away. You’ll still want to have people who know how to maintain the output.” AI code works, but it is not usually “quality”. The developer community has been warning and experiencing this for some time. Although AI tools can help program and solve many routine tasks, the generated code must be reviewed by a human programmer to avoid future problems. It is reasonable to think that this code will be increasingly better and of higher quality, but today in many cases the situation is clear: it may work, yes, but that is not enough for many projects in production, especially when they are used by thousands (let alone millions) of people. In Xataka | Bill Gates and Linus Torvalds had been rivals for 30 years. The funny thing is that they just met and took a selfie

It is an invaluable source for generative AI and at the same time it is what is killing it

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Wikipedia wants to be the last human bastion against AI-generated content. The Wikimedia Foundation removed AI-generated summaries after several cases of hallucinations and the complaint of their editors. It’s not Wikipedia’s only problem with AI, it’s also wreaking havoc on its traffic. What is happening. In a article published on the foundation’s blogproduct manager Marshall Miller details the current situation in Wikipedia traffic. The foundation estimates that there has been an 8% drop in human traffic between May and August 2025. They attribute this to the use of generative AI as a source of information, such as the chatbots themselves or initiatives such as the Google AI Overview that respond to the user without having to click on a link. Why is it important. It poses a risk to the continuity of Wikipedia because people are obtaining the information that its volunteers produce, but without going through the web and without adding visits. It is the same as What’s happening in the media with Google’s AI briefingsalthough the main difference is that the media lives off advertising and Wikipedia lives off donations from individuals. Miller sees it clearly: “With fewer visits to Wikipedia, fewer volunteers will be able to develop and enrich the content, and fewer individual donors will be able to support this work.” A crisis that comes from afar. Wikipedia losing traffic has been in the news for a long time. In 2020 they had a massive drop: They lost 3 billion organic traffic visits and the culprit was Google. The appearance of direct response modules that displayed information directly on the results page, causing many people to not click. Correction. In May of this year, Wikipedia detected an unusual increase in traffic from Brazil. At first they classified the traffic as human, but later they verified that they were bots designed to imitate human behavior. This led them to update their bot detection mechanism and, with the new updated data, they saw that there had been an 8% drop in human traffic. The irony. In the era of generative AI, sites like Wikipedia are an invaluable source of information. It is where the chatbots and Google’s own search draw from to give us those answers, but at the same time they are harming it and not only because of the drop in traffic, the bots and scrapers also have an impact on the operation and represent a noticeable load on the servers. Solutions. The Wikipedia Foundation proposes responsible use by users to seek original sources and highlight the importance of human-created content. It sounds almost like a plea and the truth is that the outlook does not look too good. In the case of AI Overview, the media have warned about the consequences and there are even groups that They have sued Google. There are clues that Google could be raising licensing agreements with large media groupsbut for the moment it has not materialized and its results with AI continue to work as the first day (they have even launched the AI mode). Image | Wikipedia In Xataka | A Wikipedia editor spent years pretending to be Russian Red. He was actually an Indian scammer

Alibaba has one of the best open source AI models. Your next step: use it in robotics

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Alibaba has taken another step in its commitment to artificial intelligence by creating an internal team dedicated to roboticswhich will operate from qwenits AI modeling division. The Chinese giant, owner of one of the best open source AI models, now wants the Qwen team to know how to apply its knowledge in robotics, a sector that is beginning to awaken interest, not only in industry, but also with the arrival of projects in the domestic sphere. Who leads the project. Justin Lin, technology manager at Qwen and expert in multimodal models (capable of processing text, sound and images), was the one who has confirmed the creation of this “small team for robotics and embodied AI” through their social networks. Lin has worked on the development of the Qwen models, which are currently among the most popular in open source globally. The vision behind the movement. According to Linmultimodal AI models are evolving into “fundamental agents” capable of performing complex long-term reasoning tasks thanks to reinforcement learning. “They should definitely make the leap from the virtual world to the physical world,” he said. explained the manager, making clear the intention to apply these technologies in tangible devices. Alibaba’s big bet. This announcement is part of Alibaba’s broader strategy in the sector. Last month, the company led a financing round of 140 million dollars at X Square Robot, a Chinese robotics startup. In addition, its CEO Eddie Wu esteem that global investment in AI will reach $4 trillion in the next five years, a figure that reflects the sector’s expectations. Global competition. Alibaba is not alone in this race. Nvidia and SoftBank are also making significant moves in smart robotics. SoftBank just announced the acquisition of ABB’s industrial robots business for $5.4 billion, while Nvidia CEO Jensen Huang has qualified the combination of AI and robotics as a “multi-billion dollar” long-term growth opportunity. China is also the world’s leading power in the robotics sector. And only in 2024, Chinese factories installed nearly 300,000 industrial robotsa figure higher than the rest of the world combined. The Qwen factor. The choice to place this team within Qwen makes all the sense in the world. Seven models of the Qwen series are currently listed in the top 10 Hugging Facewith the multimodal model Qwen3-Omni occupying first place. This strength in AI provides the company with a solid foundation to develop advanced robotic applications based on the journey they already have with Qwen. Cover image | zhang hui and Possessed Photography In Xataka | AI companies have just encountered an unexpected challenge: insurers have started to turn their backs on them

Qualcomm Buy Arduino. It is a striking commitment to the future of the Hardware Open Source

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In a special event held today, Qualcomm has announced the acquisition of Arduino. Although the financial terms of the agreement have not been revealed, those responsible for both companies have made it clear that Arduino will continue to operate independently. We are facing one Singular Qualcomm Bet For Open Source philosophy that they have always defended in Arduino, both in the development of their hardware solutions and that of their software. Careful: It is not the only movement that Qualcomm has made In this sense in recent years. Not only that: although with this Qualcomm agreement it becomes a logical option to offer some of its chips in the future catalog of Arduino solutions, those responsible for this firm have clarified in an online meeting with journalists that this will not change its way of designing their solutions. Thus, they will continue to opt for chips from other manufacturers as they have always done to raise the hardware solutions that best fit their objectives. For Arduino this is a absolute trust vote in his project and philosophy. Qualcomm gives diversification and a gateway to the community of developers, enthusiasts in this segment and that industrial electronics market that can help diversify your business. Arduino, more and more “pro” This agreement also reinforces a increasingly professional orientation and industrial of Arduino’s solutions, a transition that has been in progress for some years and that from the business point of view seemed inevitable. Arduino was born as an academic project and very oriented to electronics enthusiasts. Soon became Referent of the Maker Movement: Limited but easy but easy to use microcontrollers were used, which allowed a large community of developers to adopt its open approach to popularize and boost the development of the development of the development of the development of the development of the developers. Open Source electronics. Little by little, the project was growing and raising its leap to industrial applications. Of its application for rapid prototype creation was passed to the development of 32 -bit chips plates with greater processing and memory capacity that gave maneuver for more ambitious uses. There began to popular models for IoT and connectivity since 2016 began to strengthen the development of models with industrial applications. Own Arduino launched the Arduino Porta family as part of that new “Arduino Pro” division aimed at industrial automation solutions. These new solutions have not made the original spirit disappear: the solutions for the communities of electronic fans continue to renew, and in fact we have with us a first fruit of that acquisition of Arduino by Qualcomm. Arduino one Q: a full -fledged minipc The announcement of this operation has coincided with the launch of a new plaque they have called Arduino one q. We are facing a singular product that represents an important qualitative leap in the Arduino family. And it does it above all because the new Arduino plaque is based on a striking combo. On the one hand, the microcontroller (MCU) STM32U585. On the other, the microprocessor (MPU) Qualcomm Dragonwing QRV2210. This microprocessor that has A CPU Quad-Core with Cortex-A53 nuclei Up to 2.0 GHz, 2/4 GB of RAM, 512 kB of L2 cache, but also an Adreno 702 to 845 MHz monitors and audio devices. This plate allows for example to develop and work with AI applications, making a camera connected to this plate can be used for image and people recognition. To develop all this type of customs solutions It has its appa specifically oriented development environment to create applications in a simple way for these plates. This little minipc is in fact just that: a team that can operate in a totally autonomous way. Although we can use the Arduino one that connected to a laptop or desktop PC to work with this plate, also We can use it as if it were a PC itself. Just connect it to a monitor, keyboard and mouse to interact with your Debian Operating System and with Lab app to develop applications directly in this minipc. We are thus facing a product that makes a remarkable leap in benefits and also maintains the same original principles: both hardware —esquemas and design – and software —app Lab, Cli, Bricks have a GPL3 and MPL license – continue to be Published with Open Source licenses. Qualcomm may have bought Arduino, but the essence of this project that democratized the electronics next to Raspberry and others seems to remain intact. In Xataka | Google believes to have the key to compete with Windows, Linux and macOS in laptops. That key is called Android

The new King of the AI ​​Open Source is Alibaba. And its strategy is simple: to be tired

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Alibaba qwen3 -omni has become the new jewel of the AI ​​Open Source segment. This model, launched last week by the Chinese giant, manages to compete in various benchmarks with some of the best models of OpenAi or Google. But the important thing is not so much as the fact that it alibba Not stop taking AI models at a frantic pace and almost strenuous. QWEN models succeed. The QWEN3-OMNI-30B-A3B-INSTRUCT model is one of the variants of the QWEN3-OMNI family newly launched by Alibaba. This version has become the most popular model in the Ranking of available models in Hugging Face. Since it appeared there, almost 100,000 times has been downloaded, but it is not alone. The new QWEN3-Max-Thinking manages to match or overcome models such as Grok 4 or GPT-5 Pro. They do not stop launching models. As they point out In SCMPto date Alibaba has published more than 300 Open Source models that have served for other developers and companies to launch their own. In fact, it is estimated that there are more than 170,000 derived models, which seems to have managed to have Alibaba right now the world’s largest ecosystem. The data were shared in The APSARA conference Organized by Alibaba Cloud in Hangzhou last week. Some recent examples of that frantic rhythm: Alibaba Copa the ranking. Although they were released in April, the QWEN3 models have not stopped renewing in recent months with new capacities in the generation of text, images, audio and even video. The improvements in multimodal behavior have helped create this new “OMNI” family – which precisely handles all kinds of entrances and exits – and with it with it returns that yield They even rival with the best proprietary models of firms such as Google and Openai. Models for all tastes. If one looks That rankingfive of the first 10 models are from Alibaba. Tencent has two others, IBM Granite surprises in fourth position and also We have Deepseek-V3.1-terminus Already a voice text model called VoxCPM. Source: The Atom Project. Llama, missing. Meanwhile, the traditional dominator of said scope, The Meta Llama Modelis totally missing from the first positions of this ranking and appears in position 41. OpenAI and its GPT-Oss-20b model It is also quite displaced (position 30). The responsible for The Atom (American Truly Open Models) Project recently revealed A study in which they highlighted how accumulated discharges of Open Source models already come from Chinese models than US models. Llama was the most downloaded open model until recently. Now that position is occupied by the Models of the Qwen family of Alibaba. Source: The Atom Project. Be careful, downloads are something else. It must be said that the ranking focuses on “trending” models, that is, those whose recent popularity is high. The Openai model has in fact downloaded 6.71 million times, while Alibaba’s most downloaded model is QWEN3-Next-80B-A3B-Instruct, with 2.63 million downloads. Llama-3.1-8b-Instruct surpasses both (for now) with 7.18 million. In The Atom Project, yes, they point out that the accumulated discharges of the different flame variants have just fell below those of the Qwen variants. The reason is simple. Alibaba does not stop getting more and more models. Alibaba’s strategy has been overwhelming, and since in April it launched the first QWEN3 models, it has not gone from maintaining a frantic pace of launching of improved and derived versions such as QWEN3-Next, QWEN3-OMNI or QWEN3-MAX, in addition to specific models for generation of images as qwen-image-editordirect competitor of the famous Nano Banana, from Google. In Xataka | There are many “internal” races within the great AI race. And the Open Source is winning Alibaba

Alibaba is becoming the Ai Open Source sponator. Your family of Qwen models is putting the market above

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The Chinese giant Alibaba has launched Officially QWEN3-OMNI, an open source artificial intelligence model that can process text, images, audio and video simultaneously. In fact, it is the first model that unifies these four modalities natively and does it completely free, something that none of its US competitors offers. Bet on the Free Code. While Openai and Google charge for using their most advanced multimodal models, Alibaba gives theirs under Apache 2.0 license. This means that any company can download it, modify it and use it commercially without any cost. This open source approach It is the trend that multiple Asian giants are adopting to cause global interest in their language models and that multiple developers around the world want to contribute to their evolution. It is part of China’s strategy to remain relevant in the AI ​​career. Image: Alibaba What can you do exactly. As points The company, QWEN3-OMNI simultaneously processes text in 119 languages, recognizes voice in 19 languages ​​and can speak in 10 different languages. Its “thinker-speaker” architecture separates the reasoning of the audio generation, promising real-time responses with latencies of just 234 milliseconds for audio and 547 milliseconds for video. Benchmarks. In 36 reference tests, QWEN3-OMNI exceeds open source models in 32 of them and establishes new general records in 22. In advanced mathematics (Aime25) obtains 65 points compared to 26.7 of GPT-4O. In writing tasks (Writingbench) 82.6 points, exceeding 75.5 GPT-4O points. While it is true that it is not being compared to Openai’s most avant-garde model to date (GPT-5), it is a real achievement what giants like Alibaba are doing with their free and open source models. Strategy. Alibaba is running a risky but intelligent play: democratize the multimodal AI to gain market share. “This could bring some changes to the panorama of the OMNI open source models,” explained The Qwen team. The announcement occurs just when Nvidia announces Investments of 100,000 million dollars in data centers for OpenAI, while Alibaba and the rest of Asian giants prefer to dispute technological leadership in AI from another angle. What does it mean. Great American technology have opted for proprietary models that generate direct income. Alibaba wants to change the rules by giving instant access to its technology to millions of developers. Even if they offer it for free, they are building an ecosystem that gives them competitive advantage In the long term. And now what. China is not the only one that launches free code models. OpenAi has GPT-Oss And Google has Gemma. Two options that developers have on hand to deploy their ideas, modify them, contribute to their evolution and others, although they are not the main approach of both companies. In the case of Alibaba models, Deepseek either Tencentthe idea does revolve around the open source, and the pulse does not tremble when offering their most powerful models for free (despite the fact that some more complete and specific options are reserved for special agreements). QWEN models A great reputation have been carved Throughout these last years, and this new evolution in his family marks a new ribbon for the rest of the companies, not only in efficiency, but in the deployment of this business model. Cover image | Alibaba and Growika In Xataka | Eight people. An hour of work. A budget dollar. 5,000 new podcasts thanks to AI

Baidu has just launched a new AI model that competes with the best. The surprise: it is not Open Source

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Baidu has presented Ernie X1.1, a new generative model that represents a promising qualitative leap and that seems to compete from you to you with their rivals. That is not so surprising. What it is is that we are facing a model that goes against the Chinese trend: it is closed. Why is it important. Being “the Chinese Google” worked very well for Baidu for more than two decades, but in recent times this Chinese technological giant is trying to Do not lose commits in the AI ​​race. His last movement goes in that direction: Ernie X1.1 has just presented, the latest version of a reasoning model that earns whole. The model can be easily tested in the Official Chatbot Website (You have to display the option to use the Ernie X1.1 model if you are not selected). The new Ernie X1.1 competes from you to you with Depseek-R1, Gemini-2.5 Pro and even GPT-5 in various benchmarks Promising. The internal tests published by BAIDU reveal that their new reasoning model offers “significant advances” in terms of precision of the answers (34.8% better than Ernie X1), instructions monitoring (12.5% ​​better) and agricultural capacities (9.6% better). Not only that: its performance in Benchmarks exceeds Desepseek R1-0528, the reference AI model for months in China. It is also able to compete in performance with GPT-5 and Gemini 2.5 Pro, two of the most advanced models today. But closed. While the trend in China is to offer open models in which at least the weights with which these models have trained, Baidu has decided that at the moment Ernie X1.1 will be closed. The model has been offered to corporate clients already developers through the Baidu cloud platform, called Qianfan (via API), in addition to its aforementioned availability in Ernie.baidu.com. Meanwhile, other models open. What it has done is to open the Ernie-4.5-21B-A3B-Thinking model, a version that is somewhat less capable but that has reasoning capacity and that supports a context window of 128,000 tokens. This model uses a MOE (Mixture of Experts) architecture with 21,000 million total parameters although only 3,000 million of them are active to make it more efficient. The model is for example available Through Hugging Face. An AI that accompanies the elderly. As they point out In SCMPduring the presentation of this wang haifeng model, Cto de Baidu, advertisement The launch of an AI agent destined to accompany the elderly. The objective is to help the more than 310 million Chinese who are over 60 years offering information that for example can help them with their health status and also allows us to discern whether the information they find on the Internet can be harmful to them. Counting Erres. In Xataka we have been able to use Ernie X1.1 for a few hours and the first impressions are very positive. The reasoning model is especially careful when answering, and for example when asking “how many” R “does the phrase ‘the San Roque dog has no tail because Ramón Ramírez has stolen it’?” The model correctly replied that 9, when Ernie 4.5, also available on that website, replied quickly but badly: 8. We also ask you to create a table with the 10 countries that had won the most football, and once again The answer It was perfect, something we had not seen in almost any previous model. In other interactions – for example, when creating and analyzing Python code – the performance was also remarkable. In the absence of trying it in depth, these small tests point to a really remarkable behavior of the model. But rivals squeeze. We are therefore before a striking step by Baidu, both for that promising performance and for the fact that the company has given up not opening it for the moment. In front of Ernie X1.1, yes, the competition is fierce. Both QWen3-Max-Preview (Alibaba) and Kimi-K2-0905 (MoNshot) have achieved enter the list Of the 10 most powerful models on the market According to LMarena. There for those who lead are Gemini-2.5 Pro, Claude Opus 4.1, O3 and GPT-5-High, but the advance of these Chinese models is remarkable. It remains to be seen if Ernie X1.1 will also sneak that list. In Xataka | Deepseek has given the starting gun in the race for a cheaper AI. And China starts with advantage

There is a renewable energy source that works 24 hours a day, and Japan has opted for it: osmotics

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Omnipresent wind and solar energies have the same problem: intermittency. The wind does not always blow and the sun does not always shine. This dependence on weather conditions It forces us to look for storage solutions OA depend on a 24/7 available source to have a constant supply. But what if that other source was also renewable energy? Japan bets on osmotics. In August, the Japanese city of Fukuoka launched the First osmotic energy center in the country. It is just the second installation of this type in the world and represents more than a pilot test for a technology that promises to revolutionize the energy mix. “I hope it extends not only in Japan, but throughout the world,” said Akihiko Tanioka, an expert in the field of the Tokyo Science Institute. The plant will generate about 880,000 kilowatts-Hora a year to feed part of the desalination plant that supplies fresh water to the city. Although it may seem like a modest figure, equivalent to the consumption of about 220 Japanese homes, its true value is that it works continuously. It is not affected by the weather or time of day, and does not emit carbon dioxide. The power to mix fresh and salted water. Osmotics is a new generation renewable energy based on A natural phenomenon that we all study at the institute: osmosis. When two solutions with different salt concentration are separated by a semipermeable membrane (which lets the water pass, but not the salt), the water of the less concentrated solution flows naturally towards the most concentrated to try to balance the mixture. Fukuoka’s plant places fresh water (treated wastewater) on one side of the membrane, and salt water (sea water) to the other. Fresh water crosses the membrane to the salt water side, increasing volume and pressure on that side. The conression is used to move a turbine that, connected to a generator, produces electricity. Therefore, this renewable source is also known as saline gradient energy or “blue energy”. From the initial promises to the first problems. This technology is not exactly new. Already in 2017, in Xataka we echoed its enormous potential: The studies suggested that it could generate up to 40% of the world energy demand if it would be used in the mouths of all rivers. The challenge was the efficiency of the membranes and the cost of the facilities. The first systems, such as delayed pressure osmosis, suffered bioincructing problems: bacteria blocked membranes, drastically reducing their effectiveness. Other systems, such as “inverse electrodialysis”, were more durable but generated very little energy. The Fukuoka plant, like the first in the world inaugurated in Denmark in 2023 by the Saltpower company, demonstrates that progress in membrane technology is allowing to overcome these obstacles. Nanotechnological membranes. In France, the company Sweetch Energy has developed Much more efficient nanometric size membranes, capable of generating between 20 and 30 watts per square meter. In comparison, the most advanced systems to date generate 12.6 watts. The company seeks to install its first real -scale generator, Osmorhône 1, at the mouth of the Rhone River. The potential of this unique river would reach 500 MW, equivalent to mid -nuclear reactor capable of supplying two million people. And it would be just the beginning. All deltas and estuaries in the world release 30,000 energy from each year, a figure similar to world demand of electricity. Salina bachata in Fukuoka. In addition to the friction of the membranes, the osmotics also loses energy in water pumping. But, as he explains The Guardianthe new Fukuoka plant uses the concentrated brine that remains of the desalination process to increase the salinity difference and, thus, the energy potential available. The inauguration of the Japanese plant and the advances of companies such as Sweetch Energy mark a turning point for the osmotics. They are the first steps to stop being a laboratory promise and become an industrial reality. In a clean, permanent energy, which does not depend on the climate and that can be integrated into existing infrastructures such as ports, desalination makers or locks. Japan has made its bet: the mixture of fresh and salted water will be part of its energy mix. Image | Umi-No-Nakamich Desalination Plant (Obayashi) In Xataka | Japan has just made a monumental bet for Perovskita’s solar panels: they are his best chance against China

Send files among all my devices was a roll. Then I found this free application, Open Source and Multiplatform

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Airdrop and Quick Share (before Nearby Share) They are two sensational inventions, but they have a problem: they are not multiplatform. Airdrop only works in the Apple and Quick Share ecosystem alone in Android and Windows, so we have a problem if we mix devices. If you have an Android Mac and mobile, sending files from each other is a pain. If you have an iPhone and a Windows or Linux PC, the same. The solution? How could it be otherwise, an application Open Sourcefree, multiplatform and that works at one thousand wonders. My case. I have a Windows computer, an Android mobile and an iPad. I use the iPad to read and design, the mobile for all the things of day to day (but mainly take photos) and the PC for everything else. One can imagine how complex the file sharing is. To date, the simplest solution I had found were Telegram saved messagesbut it did not seem to me the most efficient way to send files, especially heavy, from one device to another, particularly from and from the iPad to others. LESS Airdrop. Whoever has an iPhone and a Mac will know the comfortable and above all, how fast is it sending any file through Airdrop: you share it, the devices are among themselves and wait a few seconds. Is there no alternative that works on any device, regardless of the brand? There are several, but the one that has managed to convince me for a matter of ease of use, for being free, multiplatform and Open Source His name is LocalSend. Localsend interface on Android | Image: Xataka LocalSend? It is an application that allows you to send files between devices through a local network without the need for Internet connection. To do this, use an API Rest and HTTPS encryption. It does not require external servers, but connects the devices with each other. The app has been developed by Tien do Nam and Your code is available in githubin case someone wants to take a look. And how does it work? Surprisingly well. The transfer is fast, stable and agnostic to the device. And if that were not enough, there is not a single ad, no data is not collected or data with third parties are not shared. A unicorn, go. Can be downloaded in Android, iOS, Windows, Linux and macOS From the official website. Patient potato (my mobile) sending files to Bright Melon (my PC) | Image: Xataka The only handicap is that both devices must be connected to the same Wi -Fi network, something that is not a problem if we are at home. Unfortunately, it is not compatible with Wi -Fi Directat least for now. If we had to use it away from home, it would be enough to create a local Wi -Fi network from the mobile and connect the devices to it. What can it serve. He has come to me to pass the brutes of the videos he recorded For Tiktok from the mobile to the PC (before I climbed them to Amazon Photos and downloaded them on the computer, like the beasts). It has also been good for me to spend some heavy designs from the PC or to send files to my mobile partner (Android) to yours (an iPhone). If you usually transfer heavy files between devices, localsend can be a great ally. Images | Xataka In Xataka | How to send large files: 9 free services with unlimited size

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