projects

Two gigantic submarine cables between Spain and Italy, among the large European electrical interconnection projects

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The European Union is immersed in a full energy transformation at two levels: the transition towards renewable sources and a structural change deep, so that success depends less on each country’s individual generation and more on the ability to move that energy efficiently across borders. In this framework, the European Network of Electricity Transmission Network Operators (ENTSO-E) works on a continental grid that eliminates technical bottlenecks. An example: the energy island called the Iberian Peninsula. The objective is for energy to flow from areas with surplus to others with deficit, preventing it from being trapped without a commercial outlet due to lack of transportation capacity. With that logic, the ENTSO-E just published its complete portfolio of the Ten-Year Network Development Plan 2026 with almost 200 transmission projects, 22 of them completely new. Among these novelties there are two particularly important for the Iberian Peninsula: they connect Spain with Italy. The cables. Apollo Link and Iberia Link are two high-voltage direct current submarine cable projects that would cross the Mediterranean to connect the Iberian Peninsula with northern Italy. They are independent of each other but share the same mission: to create a direct electric highway between an area with great renewable generation capacity such as Spain and one of the industrial regions with the highest electricity consumption in Europe, northern Italy. None of the projects has support from the transport network operators of each state, Red Eléctrica and Terna, respectively, but rather They are initiatives of private investors of Italian origin whose identity has not been revealed. Why is it important. The emerging continental grid is vital for the decarbonization of the continent as it allows the full use of renewable energy surpluses: Spain is one of the leaders in solar and wind energy (Italy stands out in solar, but not so much in wind) and this interconnection makes it possible that when there is excess production in the Iberian Peninsula, that clean energy can supply Italian demand instead of being left without a commercial outlet due to lack of transport capacity. The foreseeable net flow would be predominantly from west to east, although the connection would also allow energy to be imported from Italy in times of shortage on the Peninsula. But for the Iberian Peninsula it is even more relevant: this future east-west corridor allows its surpluses to be evacuated to the rest of Europe, thus ending its limited interconnection capacity. And also something essential: this connection provides security of supply (as evidenced the blackout) and the possibility of coupling markets to reduce electricity prices for the final consumer. Context. The Iberian Peninsula is considered an energy island within Europe. Its interconnection capacity with France round 3,000 MW, far below of the 15% target of installed capacity established by European regulations. And this has consequences: in times of high renewable generation, prices become negative within the peninsula and surplus energy cannot be exported. In times of scarcity, it cannot be easily imported either. This is just one of the projects that seek to end the energy isolation of the peninsula: they are also on the table the Bay of Biscay submarine cable planned for 2028 and included in all PCI lists since 2013. And under construction is a new northern interconnection of Portugal with Galicia which will add an extra 1,000 MW of exchange capacity. On the other hand, the trans-Pyrenean projects in Navarra and Aragon they are still blocked and with no date on the horizon to unclog them. Retail. Some technical curiosities of both cables: Apollo Link is the more ambitious of the two. It consists of an interconnection between Spain and northern Italy with a capacity of 2 GW planned to enter service in 2032. It would implement the most modern standard for long-distance underwater transmission for bidirectional control and minimize losses, bipolar HVDC technology with VSC converters. It would operate with the standard adopted by the European industry of 525 kV, facilitating interoperability. Its capacity allows it to supply several million homes. According to its promoters, it would generate more than 300 million euros annually in net social benefits. Iberia Link shares the same technology and operating voltage, but has a lower capacity: 1.2 GW. What distinguishes it is its length: 1,034 kilometers of submarine cable between southern Spain and northern Italy, which would make it one of the longest underwater electrical links in the world. It has no published entry into service date. Specifications of both cables. TYNDP map Yes, but. That they are included in the TYNDP 2026 is the prerequisite to qualify for the status of Project of Common Interest that opens the doors to community financing and an accelerated regulatory framework, but for the moment the situation of both is “under consideration”, which means that they are in the study phase and do not yet have European regulatory approval: they will have to pass the cost-benefit analyzes of the ENTSO-E to take the first step to materialize (we will know in the last quarter of 2026). And furthermore, they do not have the support of state operators, nor permits or approved layout because they are in preliminary phases. Likewise, the history of blocking similar projects invites caution. But even if they became a reality, these projects would only partially mitigate the electrical isolation of the peninsula: they are only 3.2GW of the 10-15GW of total interconnection necessary to truly influence the European market. In Xataka | The submarine cables belonged to the teleoperators, and now the big technology companies are controlling them In Xataka | The first great Atlantic submarine cable that connected us to the internet says goodbye for a simple reason: it was too expensive to repair it Cover | ENTSOE

what it is, what it is for, prices and how you can get one to use in your projects

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Let’s explain to you What is it and how to get an API qwen. This is essential code to be able to link your production models. artificial intelligence when developing an app or creating a workflow that includes them. And although we have already told you how to get Claude’s, ChatGPT’seither that of DeepSeekwe are also going to tell you about the AI ​​belonging to Alibaba. We are going to start this article by explaining what it is and What is an API key for? from Qwen, trying to make sure anyone can understand the concept. And then, we’ll tell you step by step how you can get yours, as well as their prices. What is the Qwen API and what is it for? Qwen is one of the most powerful artificial intelligence models on the market. It comes from China, and behind it we find the online giant Alibaba, which offers several models with different features and functions. Qwen is on the one hand the name of the chat, whose address is qwen.ai. But it is also the name of the AI ​​model underneath that makes it work. Think of the AI ​​chat as a complete car, and while what drives it is the engine, it is the model. And then, from time to time new versions of these models come out. Each of these AI models occupies many terras, and therefore, if you want to link it to an external application or project you will not be able to install it on your server. Instead, what you will do is connect your project to one of these models, build a bridge between your application and Qwen, and the key that opens the doors of that bridge is the API. An API is a unique key that is used to connect an app and an external service. In this case, the API serves to connect other applications with Qwen, or rather, the artificial intelligence model that powers it. This key, in fact, works for several models, although depending on which one you use, you will consume more or less tokens. The idea would be that when you write something to the bot that you have connected with an API, this bot sends the message to the AI, and that when the AI ​​generates the response it reaches the bot and it can show it to me. And since the bot and the AI ​​are on different servers, possibly in different countries, I’m going to need a bridge. And this bridge is the API. The Qwen API is paid. You pay for each token consumedwithout a fixed monthly fee. First you will have to buy credit packsand then these will be spent as you use the API. When you make a request, depending on the processing it requires and the task involved, you will spend these tokens or tokens, and when you run out you will have to buy more. But in exchange, what you have is the possibility of use Qwen in your projects to create your own chatbot or assistant, to automate tasks, to analyze texts, videos or audio and make transcriptions and summary, generate code, and ultimately for whatever you need. You will have the AI ​​within the application, but not natively, but you will have connected both. Token types and API prices The price of Qwen APIs depends on several things. For a start, It depends on the model you want to use.. If you are going to use the most powerful model it will be more expensive, since it is a model that consumes more resources. Meanwhile, the lighter models will have lower prices. There are two types of tokenthe input ones (Input) and the output ones (Output). Input tokens are the consumption of the text that you send to the model with a prompt. And the output is the response it generates. The price of the tokens is per million of them. As for the price, it depends on whether you use a full or lighter model. This is a table with prices of current flagship models. Remember that prices correspond to each million tokens. Model Input (for 1M tokens) Output (per 1M tokens) Qwen3.5-Plus 0.4 dollars 2.4 dollars Qwen3.5-Max 1.2 dollars 6 dollars Qwen3-Coder-Next 0.3 dollars 1.5 dollars Qwen-Plus 0.4 dollars 1.2 dollars Qwen3.5-Flash 0.1 dollars 0.4 dollars How to get your Qwen API To generate a Qwen API, the first thing is create an account on Alibaba Cloud. For that, go to alibabacloud.com and choose the option to register. In the process they will ask you for a payment method so that invoices are charged there when you use the API and spend tokens. Once you have an account, you have to go to the APIs section of Alibaba Cloud Model Studioentering directly in this link. Once inside, press the button Create API Key that will appear at the top right. This will open the window to generate the API, where you will have to choose the workspace where you want to have it and give it a description to differentiate it from the others. The ideal is to use an API for each project where you want to link Qwen. And that’s it. Only with this you will have created your API, and you will be able to see it in the list that appears on the Alibaba Cloud Model Studio APIs website. You can now use this code to link Alibaba AI wherever you want. In Xataka Basics | The best applications to have local artificial intelligence on your mobile or PC, without needing a connection and with greater privacy

China needs to manufacture cutting-edge chips to challenge the US for global supremacy. To achieve this it has two “Manhattan projects”

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China is putting everything on the table. You have no choice. Either it develops its own cutting-edge semiconductor manufacturing technology or it will lose its fight for world supremacy with the US. Without 100% Chinese advanced chips its military capacity, the development of its models of artificial intelligence (AI) and the competitiveness of its technology companies will suffer in the medium term. Huawei and SMIC are making advanced integrated circuits, but they use machines from the Dutch company ASML and a technology known as multiple patterning that compromises its competitiveness. This scenario has caused the Chinese Government support with very juicy subsidies to companies that have the capacity to develop cutting-edge photolithography equipment, such as YesCarrierShanghai Yuliangsheng, Shanghai Micro Electronics Equipment (SMEE), Huawei or SMIC. However, its most compelling commitment has taken the form of two extraordinarily ambitious projects that seek to put the capacity to produce cutting-edge semiconductors in China’s hands before the end of the current decade. Shenzhen Hybrid SVU Machine Exactly one year ago, in March 2025, it was leaked that Huawei was testing the first extreme ultraviolet (EUV) photolithography equipment designed and manufactured entirely in China. Over the last twelve months information about this machine has been arriving very slowly, but currently we know enough to take this project very seriously. Its purpose is to place in the hands of Chinese integrated circuit manufacturers the possibility of producing highly integrated chips without using ASML equipment. However, unlike the EUV machines of this company from the Netherlands, the prototype of the project led by Huawei It uses an LDP (laser induced discharge) type ultraviolet light source, and not an LPP (laser generated plasma) class. On paper the LDP source is capable of generating UVE light with a wavelength of 13.5 nmso this Chinese prototype should be able to compete head-to-head with ASML’s UVE photolithography machines. The LDP radiation source is less powerful and simpler to implement than an LPP source, although it has been leaked that the Harbin Institute of Technology, which is located in northeastern China, is testing a 100 watt LPP source. The Changchun Institute of Optics, Mechanics and Physics appears to be able to manufacture the mirrors required for an EUV machine using atomic polishing techniques The most interesting thing about this project is that, if we stick to what we know, it seems to have shaped a hybrid photolithography machine which combines solutions developed by China by reverse engineering ASML’s deep ultraviolet photolithography (UVP) equipment in its possession and innovations devised by Chinese research centers. The Changchun Institute of Optics, Mechanics and Physics appears to be able to manufacture the mirrors required for an EUV machine using atomic polishing techniques with performance close to that of the mirrors produced by ZEISS for ASML. On the other hand, Tsinghua University has recently presented advances in polyteluoxane photoresists designed specifically for interact with the wavelength of 13.5 nm. Furthermore, Xuzhou B&C Chemical, which is one of the leading photoresist materials manufacturers in China, anticipates that in at most five years will have the capacity to produce large-scale advanced KrF photoresists (Krypton Fluoride) and ArF (Argon Fluoride). Be that as it may, the leaks maintain that the first test integrated circuits will be produced by this machine in 2028so that large-scale manufacturing will begin no later than 2030. Tsinghua University’s SSMB-UVE project continues to advance Each of ASML’s UVE machines incorporates its own ultraviolet light source, but Tsinghua University and the Chinese Academy of Sciences seek to generate this radiation, which is so important for produce advanced chips using a synchrotronwhich is nothing more than a circular particle accelerator that is used to analyze the properties of matter at the atomic level, such as various types of materials, or even proteins. It’s called HEPS (High Energy Photon Source o High Energy Photon Source). China’s plan is to place several semiconductor manufacturing plants around the particle accelerator to which the synchrotron will deliver the SVU light. SSMB-UVEwhich is the name of this project, comes from the English name Steady-State Micro-Bunching-UVEwhich we can translate as Microclustering in steady state for the generation of UVE radiation. A priori we may think that a particle accelerator has nothing to do with the manufacturing of integrated circuits, but we would be overlooking something very important: the HEPS synchrotron has the capacity to produce high power UVE light. In fact, it is a source designed to generate a large amount of radiation. China’s plan is to place several semiconductor manufacturing plants around the particle accelerator to which the synchrotron will deliver EUV light in the same way a power plant delivers electricity to its customers. The leaks ensure that this project has already completed the verification phases of the particle beams, although in principle nothing seems to indicate that this synchrotron will be able to be used to produce large-scale integrated circuits in the short term. Presumably the Shenzhen hybrid EUV machine will be ready before the SSMB-UVE project, but the path of the latter, if it finally comes to fruition, it will be much longer because it aspires to put a next-generation UVE radiation source in China’s hands. Image | Generated by Xataka with Gemini In Xataka | TSMC acknowledges that it has considered taking its factories out of Taiwan. It’s impossible for a good reason. In Xataka | The looming bottleneck in AI is neither RAM nor gas: it’s that TSMC’s N3 node is absolutely saturated

what it is, what it is for, prices and how you can get one to use in your projects

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Let’s explain to you what it is and how to get a DeepSeek API. This is essential code to be able to link your production models. artificial intelligence when developing an app or creating a workflow that includes them. And although we have already told you how to get Claude’s either ChatGPT’sthat of DeepSeek It stands out for being much more economical. We are going to start this article by explaining what it is and What is an API key for? from DeepSeek, trying to make sure anyone can understand the concept. And then, we’ll tell you step by step how you can get yours, as well as their prices. What is the DeepSeek API and what is it for? DeepSeek is one of the most powerful artificial intelligence chats on the market. It comes from China, and competes with Western AIs by offering for free what others save under a paid subscription. DeepSeek is the name of the chat, but it is also the name of the AI ​​model that makes it work. Think of the AI ​​chat as a complete car, and while what drives it is the engine, it is the model. And then, from time to time new versions of these models come out. Each of these AI models occupies many terras, and therefore, if you want to link it to an external application or project you will not be able to install it on your server. Instead, what you will do is connect your project to one of these models, build a bridge between your application and DeepSeek, and the key that opens the doors of that bridge is the API. An API is a unique key that is used to connect an app and an external service. In this case, the API serves to connect other applications with DeepSeek, or rather, the artificial intelligence model that powers it. The idea would be that when you write something to the bot that you have connected with an API, this bot sends the message to the AI, and that when the AI ​​generates the response it reaches the bot and it can show it to me. And since the bot and the AI ​​are on different servers, possibly in different countries, I’m going to need a bridge. And this bridge is the API. The DeepSeek API is paid. You pay for each token consumedwithout a fixed monthly fee. First you will have to buy credit packsand then these will be spent as you use the API. When you make a request, depending on the processing it requires and the task involved, you will spend these tokens or tokens, and when you run out you will have to buy more. But in exchange, what you have is the possibility of use DeepSeek in your projects to create your own chatbot or assistant, to automate tasks, to analyze texts, videos or audio and make transcriptions and summary, generate code, and ultimately for whatever you need. You will have the AI ​​within the application, but not natively, but you will have connected both. Token types and API prices The price of DeepSeek APIs depends on several things. For a start, It depends on the model you want to use.. If you are going to use the most powerful model it will be more expensive, since it is a model that consumes more resources. Meanwhile, the lighter models will have lower prices. There are two types of tokenthe input ones (Input) and the output ones (Output). Input tokens are the consumption of the text that you send to the model with a prompt. And the output is the response it generates. The price of the tokens is per million of them. As for the price, it depends on whether you use a full or lighter model. This is a table with prices of current flagship models. You will also be able to generate APIs for older models, which will have cheaper prices. Model Input cache hit (by MTok) Input cache miss (by MTok) Output (by MTok) DeepSeek-V3.2 (Non-thinking Mode) $0.028 0.28 dollars 0.42 dollars DeepSeek-V3.2 (Thinking Mode) $0.028 0.28 dollars 0.42 dollars How to get your DeepSeek API To obtain the DeepSeek API, you have to enter its Platform developer website. The address is platform.deepseek.com. Once there, log in with your user account. Once logged in, in the left column click on the section API Keys. When you do, you will see the screen with the list of API keys that you have created. Here, press the button Create new API key to create a new one. This will open a window where you just have to name your API to be able to identify it among others that you create, and click on Create API key. And that’s it, with this you will have created the API and all you need to do is start buying tokens to use them. In Xataka Basics | DeepSeek Guide: 36 functions and things you can do for free with this artificial intelligence

what it is, what it is for, prices and how you can get one to use in your projects

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Let’s explain to you what is it and how to get a Claude API. This is essential code to be able to link your production models. artificial intelligence when developing an app or creating a workflow that includes them. Because if you want a project or application to use Claudem’s AI, you will need this key to link it to the AI. We are going to start this article by explaining what it is and what it is for. API by Claude, trying to make sure anyone can understand the concept. And then, we’ll tell you step by step how you can get yours, as well as their prices. What is the Claude API and what is it for? Claude is the name of Anthropic’s AI chat. It is like the complete car, and underneath it can use different artificial intelligence models, such as Opus 4.6 or Haiku 4.5. These models improve with new versions from time to time, and they are what make Claude work. Each of these AI models occupies many terras, and therefore, if you want to link it to an external application or project you will not be able to install it on your server. Instead, what you will do is connect your project to one of these models, build a bridge between your application and Claude, and the key that opens the doors of that bridge is the API. An API is a unique key that is used to connect an app and an external service. In this case, the API serves to connect other applications with Claude, or rather, the artificial intelligence model that powers it. The idea would be that when you write something to the bot that you have connected with an API, this bot sends the message to the AI, and that when the AI ​​generates the response it reaches the bot and it can show it to me. And since the bot and the AI ​​are on different servers, possibly in different countries, I’m going to need a bridge. And this bridge is the API. Claude’s API is paid. You pay for each token consumedwithout a fixed monthly fee. First you will have to buy credit packsand then these will be spent as you use the API. When you make a request, depending on the processing it requires and the task involved, you will spend these tokens or tokens, and when you run out you will have to buy more. But in exchange, what you have is the possibility of use Claude in your projects to create your own chatbot or assistant, to automate tasks, to analyze texts, videos or audio and make transcriptions and summary, generate code, and ultimately for whatever you need. You will have the AI ​​within the application, but not natively, but you will have connected both. Token types and API prices The price of Claude APIs depends on several things. For a start, It depends on the model you want to use.. If you are going to use the most powerful model it will be more expensive, since it is a model that consumes more resources. Meanwhile, the lighter models will have lower prices. There are two types of tokenthe input ones (Input) and the output ones (Output). Input tokens are the consumption of the text that you send to the model with a prompt. And the output is the response it generates. The price of the tokens is per million of them. As for the price, it depends on whether you use a full or lighter model. This is a table with prices of current flagship models. You will also be able to generate APIs for older models, which will have cheaper prices. Model Input (by MTok) Output (by MTok) Claude Opus 4.6 5 dollars 25 dollars Claude Opus 4.5 5 dollars 25 dollars Claude Opus 4.1 15 dollars 75 dollars Claude Sonnet 4.6 3 dollars 15 dollars Claude Sonnet 4.5 3 dollars 15 dollars Claude Haiku 4.5 1 dollar 5 dollars How to get your Claude API To get your Claude API, you have to go to the developer console website. To do this, go to platform.claude.com and use the email you have registered with to use normal Claude. The first time you do it you will have to choose that you want it for individual use, although you can also do it for business use. On the main screen of the website, you have to click on the option Get API Key. This will take you to the section, which you can also access with the left column, clicking on the section API keys of the section Manage. This will take you to your APIs screen, where you will see the ones you have created. To create a new one, press the button Create Key that will appear to you. This will take you to the create API window. In it, you can link it to a project that you have created with the option Create in Workspace. You will also have to give it a unique name that identifies it from the others. And that’s it. This will create the API code that you will have to use to link the model. Now you can use it, and go to section billing to configure the payment method and purchase the first tokens. In Xataka Basics | What is Claude Cowork, how it works, and what things you can do with this AI assistant on your computer

what it is, what it is for, prices and how you can get one to use in your projects

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Let’s explain to you what it is and how to get a ChatGPT API. This is an essential code to be able to link the models of artificial intelligence GPT when developing an app or creating a workflow that includes them. Because in order for a third-party project to use GPT, you will need this key. We are going to start this article by explaining what it is and what it is for. API of ChatGPT, trying to make sure anyone can understand the concept. And then, we will tell you step by step how to get your OpenAI API to use GPT models in your projects. What is the ChatGPT API and what is it for? ChatGPT is the name of OpenAI’s artificial intelligence chat. But basically, it is an intermediary to interact with their artificial intelligence model, which is called GPT. With each new version of GPT, ChatGPT gains new features and power. We can say that GPT is the engine, and therefore you will also be able to link it to other third-party services, in addition to your applications. Thus, these apps or services will be able to knock on GPT’s door and return results to you. However, for a service to use GPT, a bridge is needed, an intermediary, and that is where an API or application programming interface comes into play. APIs are a kind of communication bridge between an app and an external servicein this case the API serves to connect other applications with ChatGPT, or rather, the artificial intelligence model that powers it. To give an example, imagine that I want to create an artificial intelligence bot. Within this bot I would need an AI model, an engine that processed my requests. But of course, an artificial intelligence model can weigh gigas or terabytes, and I can’t afford to include it within the app. Then I will have to connect the bot with an external AI hosted on its own servers. The idea would be that when you write something to my bot, this bot sends my message to the AI, and that when the AI ​​generates the response it reaches the bot and it can show it to me. And since the bot and the AI ​​are on different servers, possibly in different countries, I’m going to need a bridge. And this bridge is the API. The GPT API is paid. You can create it for free, but then you will need to purchase token packs. This is like purchasing credit packages to use the API. When you make a request, depending on the processing it requires and the task involved, you will spend these tokens or tokens, and when you run out you will have to buy more. But in exchange, what you have is the possibility of use ChatGPT in your projects to create your own chatbot or assistant, to automate tasks, to analyze texts, videos or audio and make transcriptions and summary, generate code, and ultimately for whatever you need. You will have the AI ​​within the application, but not natively, but you will have connected both. Token types and API prices The price of GPT APIs It depends on the model you want to use.. If you are going to use the most powerful model it will be more expensive, since it is a model that consumes more resources. Meanwhile, the lighter models will have lower prices. There are three types of tokensso it is advisable to know them all. Entry tokens They are the ones that you send to the model with prompts, instructions, texts to analyze or contexts that you add. For example, the prompt “Summarize this article on artificial intelligence in 5 lines” has 200 tokens, and costs 200 entry. Exit Tokens They are what the model generates as a response. Come on, what consumes the text or image with which you are responded to. If an answer has 500 tokens, these are how many you spend. These tokens are more expensive because the model has to generate the new text, which involves a computational calculation. Cache entry tokens are when you repeat the same context in multiple calls. When you have a conversation in the same chat and on the same topic, the system temporarily saves everything you said before so as not to process everything completely. As for the price, it depends on whether you use a full or lighter model. This is a table with prices of current flagship models. You will also be able to generate APIs for older models, which will have cheaper prices. Model GPT-5.4 GPT-5mini Description Our most competent model for professional work A faster and cheaper version of GPT-5 for well-defined tasks Entry tokens $2.50/million tokens $0.250/million tokens Output tokens $15/million tokens $2/million tokens Tokens cached entry $0.25/million tokens $0.025/million tokens When you generate an API, you will be able to buy token packs of the three types, which They will be spent as you use the API. So, when the tokens of one of the types run out you will have to proceed to buy more. How to get your GPT API To obtain your GPT API you will have to enter platform.openai.com/chat and log in with your ChatGPT account. Here in the left column press where it says API keyswithin the section Manage. Inside this page press where it says Create new secret key. This will take you to a screen where you can configure your API, linking it to a project, giving it a name or configuring its restrictions if you want them to have them. When you have it to your liking, click on Create secret key. And that’s it. with this you will create an APIor as the platform calls it, Secret key or secret key. This is the key you will have to enter when you want to link GPT to a third-party service. In Xataka Basics | ChatGPT apps: what they are and how to use them to give … Read more

what it is, what it is for and how you can get one to use in your projects

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Let’s explain to you what it is and how to get a Gemini APIthe artificial intelligence from Google. It is a kind of essential key or bridge if you want to develop an app or create a workflow that includes artificial intelligence, and in which you decide that this AI is Gemini. We are going to start this article by explaining what the Gemini API is and what it is for, trying to help anyone understand the concept. And then, we’ll tell you step by step how to get your Gemini API to use in your projects. What is the Gemini API and what is it for? Gemini is the name of Google’s artificial intelligence chat, but it is also the name of the AI ​​model, of the engine underneath processing your prompts and looking for a response. And being an engine, it is an element that you can use both in Gemini apps and in other applications, as long as they can connect with Gemini to use it. And this is where Gemini having an API or application programming interface comes into play. APIs are a kind of communication bridge between an app and an external servicein this case the API is used to connect other applications with Gemini. To give an example, imagine that I want to create an artificial intelligence bot. Within this bot I would need an AI model, an engine that processed my requests. But of course, an artificial intelligence model can weigh gigas or terabytes, and I can’t afford to include it within the app. Then I will have to connect the bot with an external AI hosted on its own servers. The idea would be that when you write something to my bot, this bot sends my message to the AI, and that when the AI ​​generates the response it reaches the bot and it can show it to me. And since the bot and the AI ​​are on different servers, possibly in different countries, I’m going to need a bridge. And this bridge is the API. The Gemini API that you can create for free is a key, and it’s like the key to the bridge to connect any service to Gemini. In this way, with the API you will be able to include Gemini in your projects, or link it to third-party pages where you are creating an application or a workflow. API keys can be paid, but Google also allows you to have a free one for Gemini. The free API has certain limitations in the speed and number of requests, with numbers like 5 requests per minute or 100 per day for Gemini 2.5 Pro. And so, each model has its limits. But in exchange, what you have is the possibility of use Gemini in your projects to create your own chatbot or assistant, to automate tasks, to analyze texts, videos or audio and make transcriptions and summary, generate code, and ultimately for whatever you need. You will have the AI ​​within the application, but not natively, but you will have connected both. How to get the free Gemini API To get the Gemini APIyou will have to go to the Google API management website. For that, go to the website aistudio.google.com and sign in with your Google account. When you do, in the bar on the left at the bottom click on Get API Key. Now you have to click on the option Create API key that appears at the top of the screen you have created. This will open a window where you have to create the project for which you are going to use it to be able to identify it. When you create the project, you can now create the API. When you have created the API, you will see that it appears in the list of API keys. You just have to click on the left, below where it says Clueand a window with the API will open, starting with “AIza–“. Now you have the API, and you can link it to third-party services to access Gemini. In Xataka Basics | How to Improve Gemini Answers: 14 Steps to Ensure Higher Quality and Better Sources

the projects that still keep the free and free web alive just as we dream of it

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The Internet has never had so many users or so much content, and yet it increasingly looks like a handful of repeated screens. Much of what we read, watch or search for goes through the algorithms of a few large platformswho compete for our attention and they convert many of our clicks into measurable data. In the midst of this standardized landscape, projects survive that operate with a different logic, such as Wikipedia, OpenStreetMap or the Internet Archivewhich are not financed by ads, do not sell detailed profiles of their users and continue to support a simple and demanding idea at the same time: that information and knowledge should be a shared good. The web did not begin as a showcase for large platforms, but rather a dispersed and almost artisanal laboratory. In the early nineties, those who published on the web They did it from university serversinstitutional or domestic, using open standards such as HTML, HTTP and URIs. They were fundamental pieces of a network designed so that information could circulate without depending on technological owners or closed systems. This technical architecture fueled the idea that the Internet could be an open and accessible space. The Internet was not born to sell data: the market found how to do it That enthusiasm, however, lived with obvious limits. As we say, participation was concentrated in universities, research centers and a minority of enthusiasts with technical knowledge and resources. The figures of the time show that just one minimum fraction of the world’s population had access to the Internet, which means that this supposed openness was real in technological terms, but not socially widespread. Starting in the mid-nineties, and especially at the end of that decade, the Internet began to receive more attention. Companies saw economic potential in a network that connected millions of people and allowed information and services to be distributed on a global scale. Commercial providers, popular browsers and the first portals emerged, and with them came the logic of the market: there was traffic, there were users and, therefore, there were business opportunities. Access to the web stopped being an experiment and began to become a massive, measurable and profitable activity. This change promoted a model that would quickly consolidate: segmented advertising. It was not just about showing ads, but about analyzing user behavior and obtain data about your interestshabits and preferences. It was the moment when human attention began to acquire a concrete economic value. Clicks, dwell time and browsing patterns ceased to be technical traces and became raw material for a new digital market. In this increasingly commercialized context, some projects maintained another way of understanding the Internet. They were not born to attract traffic or to compete for attention, but to build public information infrastructures. Wikipedia was launched in 2001 with a goal that seemed unrealistic at the time: to create a free, collectively written encyclopedia available to anyone with an Internet connection. OpenStreetMap began its journey in 2004 with a similar idea, but applied to the territory, collaboratively documenting the streets, roads and places of the world. Since 1996, the Internet Archive had been preserving pages, documents, audio and video so that they would not disappear over time. Two decades later, these projects are not only still active, but are central pieces of the current web. Millions of people consult Wikipedia every day to check a fact, understand a context or learn something new. OpenStreetMap maps power everything from mobile applications to public services and humanitarian projects. And the Internet Archive has become a long-term digital memory, a place where the web is not deleted, but preserved. They are initiatives collectively built that have achieved global impact without adopting the dominant business model. Wikipedia is supported by millions of small donors, most of them are readers who contribute small amounts, usually around ten euros a year. The Wikimedia Foundation manages these resources and maintains the technical infrastructure, including servers, software development and security systems. He also manages the Wikimedia Endowmentan independent fund created in 2016 to ensure that the project can continue operating even if revenue drops one year. Since 2021, there is also Wikimedia Enterprisea way for organizations that intensively reuse content, such as search engines or artificial intelligence companies, to access structured and stable versions of the data. Financed on the backs of the people OpenStreetMap has a different and much more decentralized structure. The OpenStreetMap Foundation is responsible for servers and general coordination, but much of the work comes from local communities organizing events, training and collaborative mapping tasks. The financing comes in the form of voluntary duestechnical sponsorships and support from organizations that use the data in logistical, humanitarian or educational projects. In the case of Internet Archive, the costs fall on an infrastructure that stores millions of pages, documents and files, financed through individual donations, grants from foundations and public organizations, and archiving and digitization services for institutions. When we talk about open projects, we can confuse openness with absence of organization. However, its operation is based on explicit rules and distributed structures. Wikipedia exemplifies this better than anyone. Editorial decisions are not made by a small group, but by thousands of people who apply public standards such as neutral point of view or verifiable content. The profile of the person contributing does not matter, but rather whether their contribution meets those criteria. Administrators can intervene to protect pages or resolve disputes, but their role is primarily technical and maintenance, with no hierarchical editorial authority over content. OpenStreetMap works with a similar logic, but on geographic data: the information is built from the local and is review collectively to ensure consistency. There are regional communities They coordinate tasks, organize meetings and define practices, but the base remains open. In the case of Internet Archive, the process is not so much editing as cataloging and preservation, and external collaboration focuses on improving the quality of records and avoiding the loss of digital documents. Living with the technological giants … Read more

What if we have made a mistake with the orientation of the panels? Two projects in the Valencian Community are testing it

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For decades, solar panels have looked to the sky with an almost religious inclination. But, what if the error was precisely that? What if the future of solar energy lies in putting them on their feet? Position is everything. The Norwegian company Over Easy Solar and its Spanish partner Albricias Energía have installed the first two vertical solar systems in the Valencian Community: one in the Elche business park and another on the roof of a residential building in Bétera. The idea of ​​raising the panels is not only aesthetic: it responds to a practical need. In cities there are more and more flat roofs and fewer sloping roofs, and in the countryside, agrivoltaics seeks to free up soil for crops. In this context, verticality is becoming a solution that is as logical as it is efficient. The logic behind the vertical panel. Its promise is as simple as it is disruptive: assembly in 15 minutes per kWp, without tools or ballasts, and with a design that does not pierce the roof or alter its tightness. The panels, manufactured with heterojunction (HJT) cellsreach an efficiency of 22% and a bifaciality of 92%, that is, they capture solar radiation on both sides. In addition, being in a vertical position, they dissipate heat better, which translates into better thermal performance. At the Elche facilitythe modules were placed with an east-west orientation, so that one side receives the morning sun and the other the evening sun. That generates two daily production peaks —one around 10:00 and another around 8:00 p.m.—, just when domestic electricity demand is usually highest. While traditional panels reach their maximum at noon and fall when more energy is needed, the vertical ones fill those production “valleys”, reducing dependence on batteries or the electrical grid. Production curves of the Elche facility Source: Over Easy Solar Beyond the angle. Furthermore, their shape and geometry make them almost immune to dirt, hail or wind, and as they do not require screws or ballasts, they can be easily dismantled if the roof requires maintenance. The Fraunhofer ISE Institute has endorsed that this configuration does not compromise structural stability, which reinforces its technical feasibility. According to Over Easy itselfvertical solar installations are becoming a value option for both urban rooftops and large-scale or agrivoltaic projects, and offer competitive capture rates and payback periods compared to conventional photovoltaics. The vertical spin expands. It is not an isolated idea. In California, the Sunstall company has developed Sunzauna system of vertical bifacial panels designed to combine agriculture and energy. The project, installed in a vineyard in Somerset, uses modules that generate electricity on both sides and allow cultivation under partial shade, reducing UV stress on the plants and taking advantage of the land for both uses. The principle is the same: more usable surface area, less heat, less maintenance and a more stable production curve. And, furthermore, with added value: keeping the land available to produce food. In urban environments, verticality also makes its way. The Canadian Mitrex SolarRail has launcheda bifacial solar railing system that turns balconies into small energy generators. With transparent and opaque versions, these modules integrate photovoltaics into the architecture without altering the design of the building or taking up additional space. The technology that makes it possible. With twist or without it, all recent proposals point in the same direction: bifaciality. HJT (heterojunction) cells combine crystalline and amorphous silicon to make better use of reflected light and reduce temperature losses. This symmetrical structure allows energy to be generated from both the front and rear of the panel, something essential for vertical systems or systems integrated into facades. And it doesn’t stop there. New advances, such as bifacial perovskite panels developed by the Indian Institute of Technology (IIT) Dharwad, could make these solutions even cheaper and better. Will the future be vertical? Verticality does not seek to replace traditional photovoltaics, but rather to complement it. It allows energy to be produced when it is needed most, reduces the visual footprint and increases generation on already saturated roofs or in buildings without inclination. In the words of Pablo Sánchez-Roblesfounder of Albricias Energía: “Over Easy systems can complement already executed installations, increasing generation without changing the inverter.” Maybe in a few years we will look at the sloping roofs and think that the panels always wanted to be standing. After all, the sun rises in the east and sets in the west. Image | Over Easy Solar Xataka | Quantum find in Cambridge points to solar ‘Holy Grail’: single-material solar panels

Morocco has started one of the most ambitious projects in the history of Africa

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Morocco has begun to build its stretch of the Nigeria-Charuecos gas pipeline (NMGP), a megaproject of 25,000 million dollars that stands out not only for its scale, but for its geopolitical implications. The energy map of Africa and its connections with Europe will change. A 6,000 km corridor. Moroccan Energy Transition Minister Leila Benali, announced the start of the works. The stretch of Morocco will cost about 6,000 million dollars, and will serve as the future dorsal spine of the Kingdom Gasist Network. This initial segment will connect the port of Nador, on the Mediterranean coast, with the city of Dajla, to the south of the country. The entire Transaphrican gas pipeline will be extended through the Atlantic coast to connect Nigeria’s vast gas reserves with Morocco. From there, it will be exported to the European market, confirming Rabat as a first level energy hub. A pharaonic project. The infrastructure is designed to transport up to 30,000 million cubic meters of natural gas per year and guarantee the supply of 13 African countries. The gas pipeline will leave from Nigeria, crossing the coasts of Benin, Togo, Ghana, Ivory Coast, Liberia, Sierra Leone, Guinea, Guinea-Bisáu, Gambia, Senegal, Mauritania and Morocco. In addition to promoting industrial development and access to the energy of 400 million people, NMGP foresees Extend the supply to the European Gasist Network Already African countries without coast: Niger, Burkina Faso and Mali. Engineering studies They ended in 2024the environmental and social impact analysis of the southern section are missing. And the Algeria gas pipeline? The project directly rivals the Transaharan gas pipeline (TSGP), The initiative backed by Algeria to bring the same Nigerian gas to Europe through Niger. However, political instability in Sahel, especially after the coup d’etat in Niger, has put the viability of the Algerian corridor in serious trouble, granting a strategic advantage to the Atlantic route of Morocco. Where 25,000 million will come from. For Nigeria, the gas pipeline is the cornerstone of its “Gas Decade” initiativea strategy to monetize national reserves of six billion cubic meters of natural gas. For Morocco, the project is the spearhead of its “Atlantic Initiative”, which seeks to turn the country into a strategic corridor between Europe, Africa and the Atlantic. Ensuring 25,000 million dollars is the main obstacle. The project will make a final decision on the investment at the end of 2025 that will be the fire test, although it has already aroused the interest of entities such as the Islamic Development Bank and the European Investment Bank. How to protect thousands of kilometers of pipes that will cross 13 nations, some with unstable political environments and doubtful security, will be one of the great discussion points. The fact that investing in fossil fuel infrastructure In full green transition it is the elephant in the room. Image | NNPC In Xataka | The US has had an idea to feed its AI: build its data centers next to natural gas deposits

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