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DeepSeek is good, pretty and very cheap. And above all, the weapon to create a Chinese hardware industry independent of Nvidia

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The arrival of DeepSeek-V4-Pro It hasn’t caused that much of a stir. like the one caused by DeepSeek R1 a year and a half ago, but we may be facing an even more important model. If that version revealed to the world that China was advancing spectacularly in this race, this other one is beginning to allow us to glimpse something else more interesting. What most people see is a very decent model and above all “low priced”. Which hide the company It’s another more important thing: achieve independence from Nvidia and US hardware. what has happened. Last Friday, those responsible for DeepSeek announced something surprising: their promotional offer with a 75% price cut to use their DeepSeek-V4-Pro model will be maintained permanently. That makes this model offer very decent features (but not exceptional) for a really low price: 1M entry tokens 1M tokens output DeepSeek-V4-Pro 0.435 0.87 GPT-5.5 5 30 Opus 4.7 5 25 Gemini 3.5 Flash 1.5 9 Good, pretty and very cheap. It is true that the performance of DeepSeek-V4-Pro is inferior to that of rival models from OpenAI, Anthropic or Google. Artificial Analysis tests indicate that the DeepSeek model is at a very good level, but it is also much cheaper than its competitors. This is especially relevant for agentic tasks that consume many tokens and that with this model become accessible and very affordable. According to Artificial Analysis, DeepSeek is close to the performance of the best models in the industry, and although it is slower in its responses, it is also much cheaper than the frontier models from OpenAI, Anthropic or Google. A different strategy. How is this company going to make money? It does not have subscription plans like its local competition (GLM, Kimi) or the western one (ChatGPT Plus, Claude Pro). It also does not have voice or image models. It does not have an AI agent for programming that competes with Claude Code. It publishes the open weights of its models and shares its technical innovations with the industry (and with its competitors). For those who closely follow the company and these decisions, the strategy is clear. DeepSeek’s goal is not to win the AI ​​model race. Their goal is to build a Chinese AI hardware industry that doesn’t depend on Nvidia or TSMC… and get paid their share in that process. Hardware independence. China has a structural problem in this AI race: sanctions and vetoes imposed by the US make you unable to access the most advanced chips nor to ASML UVE photolithography. And since China cannot currently compete in terms of computing power, what its companies are doing is ensuring that their AI models need less computing power to achieve similar results. Efficient architectures. The Mixture of Experts (MoE) and Multi-head Latent Attention (MLA) architectures are two key weapons in this strategy. The first already existed but was adapted by DeepSeek for their model: with it only part of the total parameters of the model are activated to answer the query without losing precision. What MLA does is compress the attention information (the so-called KV Cache) with which the model maintains the context of a conversation, reducing it by 90%. Both techniques allow us to reduce the need to use high-speed HBM memories, something that is also striking in order to reveal DeepSeek’s probable strategy. The importance of KV Cache. As the GDP analyst explains in Xthat use of MLA allows that for one million tokens, DeepSeek-V4-Pro only needs 5.48 GB of HBM memory. Competitors like Zhipo AI, which develops GLM 5, need 60 GB for the same, while Alibaba’s Qwen 3 needs 89 GB. This advantage allows DeepSeek to offer much lower prices to obtain performances similar to those of its competition, but it also means that DeepSeek models can run on Chinese memory chips that cannot compete in speed with HBM modules. Goodbye HBM, hello NAND and SSD. These innovations open the door to the use of NAND memories and even SSD drives to process this data, and there YMTC enters the scenea Chinese Flash memory manufacturer that is slowly becoming a global giant. Also CXMTwhich manufactures DRAM memoriesbecomes an alternative here and the reason is equally interesting: DeepSeek introduced a memory search module in LLMs called Engram which is also intended to avoid excessive dependence on HBM memories. How to bypass the CUDA monopoly. Nvidia continues to have a fundamental element in CUDA to maintain its market dominance, but here DeepSeek too has proposed an alternative. Is called Tile Kernels and these are software cores created with TileLang (a variant of Python for this field) that allow governing advanced AI chips (GPUs). Huawei as an invisible ally. Those responsible for Huawei recently indicated that its new Ascend AI supernodes fully support DeepSeek v4 models. Precisely this provides another fundamental advantage to the company, which thus avoids (at least in part) total dependence on the use of Nvidia chips and prepares to further strengthen Huawei’s relevance in a market in which until recently Jensen Huang’s company was queen and mistress. Open models to attract the hardware industry. US companies continue to maintain their closed and proprietary models, but DeepSeek is one of the many Chinese startups that publish them with open weights. With this, what she and the others intend to do is not only attract AI developers and users, but also create a hardware ecosystem that adopts these architectures. DeepSeek invites its rivals to use techniques such as MoE or MLA precisely so that all these advances become a de facto standard and hardware manufacturers also adopt them and integrate them in an optimized way into their designs. A round of 10,000 million to advance. The company is also preparing a financing round in which they intend to raise 10,000 million dollars and with which they would achieve a valuation of between 45,000 and 50,000 million dollars. Still far from the mammoth valuations of OpenAI or Anthropic (already close to a billion dollars) but certainly … Read more

How to create a pack of Chibi stickers from your photo with Gemini or ChatGPT and then use them on WhatsApp or wherever you want

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Let’s explain to you how to create a “Chibi” style sticker packthat Japanese style in which a face is caricatured with a big, adorable head. Let’s do this using artificial intelligenceand a prompt that you will be able to use both Gemini as in ChatGPT. Once you have generated your sticker packall you have to do is cut out each one of the image and use it as you want. For example, you can use the methods we have told you to convert any image into sticker directly on WhatsApp. The positive part of the prompt that we are going to tell you is that it will make you a series of stickers defined with pre-established expressions that you will be able to edit together with the prompt. And although it was created by OpenAI for ChatGPT, you can use it by hand both in this and in any other AI that generates images, such as ChatGPT. Create a sticker pack from your photo To create a sticker pack from your photo, you first have to upload a photo in which your face can be seen well and your features. If it’s a selfie, better, because then the AI ​​can use your features to compose the pack. Once you have attached your photo to the ChatGPT and Gemini writing field, write the following prompt. You have to send both things at the same time, the photograph and the prompt. The command to use is the following: Using the uploaded photo, create a pack of adorable, illustrated chibi stickers. Clean white background, vertical format with a thick white border. Create various tender expressions: laughing, crying, sleepy, surprised, confused, eating, grumpy, cute expressions… Each expression must include a tender text, for example: Good morning! Whatee? / Huh? / I remind you! / What a dream / Wow! Approved! / Brilliant! / Hey, you! Achís! / Angry! / Huh??? / Good night :3 / Too cute / Am I cool now?! Once you send the image along with the prompt, AI will create a set of stickers from your photograph, and it will put them all into a single image. Now all you have to do is digitally cut out each one and use it to generate your sticker for your messaging app. In Xataka Basics | How to create a character in ChatGPT and Gemini to use it in all the images you make with artificial intelligence

Microsoft wanted to create a mega data center in Kenya. To function, half the country had to live without electricity

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In May 2024 Microsoft announced what seemed like a historic agreement for Kenya’s technological development. The goal: create a gigantic data center that would be powered by geothermal energy. This center was going to be created in the Olkaria region, but the Kenyan president, William Ruto, has been blunt with Microsoft’s energy claims: to power the total requested 1 GW capacity, the country “would have to shut down half the nation.” too fair. Kenya has an electrical capacity installed capacity of between 3 and 3.2 GW, with peak demand that already reaches 2.44 GW. Microsoft’s project would consume approximately a third of the country’s total capacity. Even the first phase, which requires a capacity of 100 MW, would take a huge bite out of the production of the Olkaria geothermal complex, which generates about 950 GW in total. Kenya seems to be clear that sacrificing domestic consumption was not worth it when most of the project’s profitability will end up in the hands of a large foreign technology company. Financial disagreement. In addition to the energy problems, the negotiations have ended up getting stuck in the economic field. According to sources close to the process cited in BloombergMicrosoft and the investment firm G42 have reportedly asked the Kenyan government for a financial commitment. Specifically, payment for a certain amount of capacity each year, something with which the Kenyan leaders did not fully agree. The project has not been canceled. John Tanui, head of Kenya’s Ministry of Information, explained that his country is still in negotiations with Microsoft and G42, and that the agreement “has not failed or been abandoned. The scale of the data center they needed requires some structuring,” and that includes solving both the energy and economic problems. A project with a lot of geopolitics behind it. This project was not only a technological milestone for Microsoft and Africa, but also a diplomatic one. It is part of a $1.5 billion deal between Microsoft and Abu Dhabi-based G42, which was designed to counter potential deals on this continent with China. In fact, as a condition for the G42 agreement had to divest its Chinese assets and remove Huawei equipment from their systems. While the project is on hold, however, the Chinese company continues to expand in this region and has recently launched new broadband services over fiber with the largest Kenyan operator, Safaricom. Bottlenecks everywhere. The case of Kenya is not the only one that is stopping Microsoft’s plans. The company has announced a capex of 190 billion dollars by 2026 that will be invested in data centers, and the company is adding approximately 1 GW of computing capacity each quarter globally. However, about half of the data centers planned in the US this year have been canceled or delayed due to the shortage of electrical infrastructure. Image | Microsoft In Xataka | In 2024, Big Tech spent absurd amounts of money on AI. In 2025, they managed to spend 77% more

How to create a Telegram bot that summarizes your Google Calendar appointments every morning with AI

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We are going to tell you how to create a Telegram bot that summarize your Google Calendar appointments and events each daymaking him a personal secretary who gives you a summary every morning. To do this, we will make the bot use artificial intelligence as Gemini, ChatGPT, Claude or whatever you prefer. To carry out this task we are going to use two third-party services. First we will use BotFather from Telegram to create the bot, and then we will go to the service Make to create a workflow or workflow that adds an AI, which in the case of our step by step will be Gemini, but you can use any other. But before we start, just one warning. This method is very easy and useful, but in the end you will be giving your calendar information to third parties. Google already has it, but you will also be sharing it on the Make platform, and that is something you should always keep in mind. First you must create the bot The first thing you should do is create a bot on Telegram with BotFather. To do this, write a message to the bot @BotFather and write to you as if you were a new user. Type the command /newbot to create a new bot, to which you have to give a name to identify yourself and a unique username to access the bot whenever you want. When you do it, it will give you two things, first the username and address of your bot to access it, and second an access token with various figures and letters. You have to save this token to use later. In the message that Telegram will return to you, will also give you a link to the bot you createdwhich will basically be t.me/@botname. This will be important for later. Also you can use BotFather options to customize your botputting a profile image, a description or whatever you want. We have explained all this to you in our post about BotFather. Once the bot is created you must enter and run it with the /Start command so that it remains active, even if doing so does not respond to anything. Now get the API of an AI Now you need the API of an AI. We will use the Free Gemini APIwhich although it has some limits in its use, is more than enough for a little use. To get it go to the website aistudio.google.com and sign in with your Google account. When you do, go to Dashboard and click on API keys. in here, click on the option Create API key which you have at the top right. 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 in order to identify it, for example “Secretary Bot”. When you create the project, you can now create the API. And by the way, if you want something more advanced, We have also explained payment alternatives to the Google API. In Basics you have articles where you can see the prices and how to get the ChatGPT APIthe Claude APIthe DeepSeek API wave Qwen API. Now create the workflow Now it’s time to create your workflow. For this, you will have to enter Make.com, and create a new scenario. This will take you to a screen where you just have to click on the add button to add the first module, and then to the right of each module click on + to add another adjacent one. But to do this, you will have to configure each module before chaining the next one. We are going to guide you and explain to you the four modules you should add and how to configure themas well as then scheduling the scenario to run every day at the time you want. 1. Add the calendar module To start, you have to create a new module. On the screen that opens, choose Google Calendarand in the options click on the module Search Events. You will have to sign in with your Google account. In the configuration window, you will have to add the following elements that we are going to list: Calendar ID: Choose the primary calendar or the one where you have the data of the meetings or elements that you want to summarize. Start Date: Paste the following: {{formatDate(now; “YYYY-MM-DD”)}}T00:00:00Z End Date: Paste the following: {{formatDate(now; “YYYY-MM-DD”)}}T23:59:59Z Single Events: In this field, choose the option Yes. When you have everything, click on Save. If you want, click below Run eleven so that Make takes a look at your calendar, and so in the next module you can put options related to the results obtained. 2. Add the text aggregator Now you have to add a next module chained with the calendar. In the applications press Toolsand inside click on Text Aggregator. Now, enter the module, and in the field text you will have to choose the options 1.Summary and 1.Start. If you get confused, just by clicking on the text field a window with suggestions will appear. In it, search for Google Calendar suggestions, and in the results click on the options Summary and startso that when filled in they appear with the number 1. If they do not appear, first do a Run eleven with the calendar module alone so that they appear when creating the Text Aggregator. 3. Add Gemini into the equation With what we have done so far, the automation analyzes your calendar and obtains the events. Now it’s the turn of send it all to Gemini so that it then generates the response. For this, choose the module Geminiand link the AI ​​using the API we obtained before. Once you have done it, it’s time to configure the module. In AI Model you have to … Read more

AI already knew how to create images. OpenAI says it has found the missing piece with the new ChatGPT Images 2.0

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Over the last few years we have seen image generators become increasingly more spectacular, faster and also more popular. The problem is that a striking image is not always useful to work with. It is one thing to ask for an astronaut cat and quite another to obtain a usable marketing poster, a coherent vignette or a graphic that respects what we have asked for. That’s where OpenAI now wants to move the conversation with its new model: not so much towards the pretty image, but towards the useful image. The answer. What OpenAI proposes goes in that direction. The company led by Sam Altman He maintains that his new model is not only created to generate attractive images, but to solve visual assignments with more intention and less trial and error. In the presentation he went so far as to state that “images are a language, not decoration”, a fairly clear way of summarizing where he wants to take the product in a present with quite a bit of competition. The thesis is that: that asking for an image in ChatGPT It’s less like launching a creative prompt and more like commissioning a piece that we can actually use. The missing piece. If the firm wants us to talk about something more than showy images, it had to improve exactly the points where these models usually fail. Here they promise important changes on three very specific fronts: following complex instructions more precisely, better organizing elements within the image and reproducing dense text with greater reliability. In other words, we are not only looking for more beautiful results, but also less ambiguous and more controllable ones. Think before you draw. One of the novelties that OpenAI tries to highlight most strongly is that this is its first image model with reasoning capabilities. Translated into practical terms, the company maintains that, when a model with “thinking” is chosen within ChatGPT, the system can take more time, structure the task better, rely on the web to search for updated information and review its own results before delivering the image. And we have tried it, asking for the image of two people walking along Gran Vía, in Madrid, near Cines Callao, and some notes on activities to do in Spain during May. These are the images that we can see in the cover image. The keys. OpenAI talks about game prototyping, storyboards, marketing creatives, comics, social graphics and other materials where both content and form matter. To sustain that ambition, the company says it has improved on two delicate fronts: the handling of non-Latin text, with advances especially in Japanese, Korean, Chinese, Hindi and Bengali, and the more faithful reproduction of very marked visual styles. It also expands the possible formats, with proportions of up to 3:1 and 1:3, resolution of up to 2K and, in certain modes, the possibility of generating up to ten images within the same request with continuity between characters and objects. The competitive context. This announcement also cannot be read as if OpenAI had suddenly discovered a new market. Midjourney has already become a clear reference for works with a strong artistic charge, Nano Banana has attracted attention for its conversational editing capabilities and FLUX 2 has become strong in photorealism. With that board in front, the company seems to be looking for another angle. Rather than contesting each terrain separately, it tries to present ChatGPT as an environment where the image is not generated in isolation, but as part of a broader flow, something that on paper can be attractive if it really delivers what it promises. It’s already starting to unfold: One of the keys to the announcement is that OpenAI ensures that the model does not remain in the showcase phase, but is beginning to reach a product. The company places its deployment in ChatGPT for all users, including Free and Go, and associates the most advanced results with Plus and Pro, as also reported by Engadget. Additionally, it takes you to the API and Codex, a sign that they don’t want to limit it to casual use within the chat. If your strategy involves turning the image into another work tool, it made sense for the deployment to start precisely there. Images | Xataka with ChatGPT Images 2.0 | OpenAI In Xataka | Amazon wants to win the AI ​​race at any price. That is why it has invested both in Anthropic and OpenAI

why it is useful to have them, how to create them and how to use them

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Let’s explain to you What are they and why is it useful to have .md files with Skills? of Claude. The artificial intelligence Anthropic has this system of skills that can be like the GPTs either Gems of ChatGPT either Geminibut they work in a different way. Claude will search through his skills every time you write him a prompt, and that’s why it’s useful to have some external ones instead of within the Skills system so you can only use them when you want. We are going to explain everything so that you understand it, and along the way we will tell you the best way to do them without having to use any text editing program. Why it is useful to have external skills When you decide to create a Claude’s Skillsthis is saved in the internal memory of the AI, which is normal. But the peculiarity of this system compared to similar ones from other AI chatbots is that every time you write a prompt, Claude will first look at the names and descriptions of all the Skills that you have created in case you can use any, and then, if it understands that what you have requested corresponds to what they do, then it automatically launches them. This can make you don’t have full control of when a skill is used that you have created, and that they are launched without you wanting it. And if you are creating many of them for different tasks, then it can be a problem. The way to avoid this is create very precise names and descriptions for the skills, so that Claude can understand what they are specifically for and not throw them in other contexts. If they are generic descriptions and names, then it might use them unintentionally with similar actions you ask of it. But the method to have better control and have a Skill that can only be used when you want explicitly is to use an external one. Come on, have .md files with these Skillsand attach it only when you explicitly want to use them. Create a skill in a .md file When we explain how to convert GPTs and Gems in Skillswhat we told you was to go into the folder where they are, and copy the name, description and instructions into a Skill. These are also the three key fields when you go to create a Claude Skill from scratch. To do this, you just have to use a text editor in which you explain everything step by step. You can use the same structure, with a name, description and then instructions, or you can go further and expand with other formats. It has to be in Markdown format. You can also create the files with Claude But the most effective way to do it is to ask Claude to create a .md file with a Skill. Here, you can use a prompt structure like this to do it: I want you to generate a .md file with a skill created for Claude. These are the skill data: Name: (Name) Description: (Description) Instructions: (Detailed Skill Instructions) I want you, based on this data, to generate the skill so that it works as best as possible with Claude, and then make a .md file to download it. Here, just by filling in the name, description and instructions you can have a Skill made by Claude, and in fact, when finished you will have a .md file that you will only have to download and save it wherever you want. In Xataka Basics | Claude’s Free Courses Created by Anthropic: 15 Official Certification Courses to Learn and Squeeze Your AI

How to create simple Claude Skills to have your personalized version of artificial intelligence

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Let’s explain to you how to create your own Claude Skilland thus have a personalized version of the artificial intelligence from Anthropic. The Claude’s Skills They are a series of instructions that you can upload to a chat so you don’t have to repeat them every time you want to give a specific compliment. Let’s start the article by reviewing what exactly the skills of Claude. And then, we are going to tell you step by step how to create a skill in the simplest way possible. What exactly are Claude’s Skills? Skills or abilities are a system with which you can create Claude customizations. With them, you can add a command layer to the generic versionand thus be able to use a version of the AI ​​adapted to what you want. A skill is an encapsulated procedurethe way to tell Claude how to perform specific tasks, under what conditions and with what rules you want him to do it, without having to repeat these instructions in every conversation. Imagine that you use Claude to repeatedly do specific tasks. Every time you want to do one of these tasks in a new chat you will have to describe what you want, something that can be tedious, especially when the instructions are longer and more complex. Skills allow you to encapsulate these instructions, so that when you activate one, these instructions are implicit in what you ask of it. When you write the prompt, Claude will first read the ability and take into account what you ask of him there. For example, imagine that you like to analyze the SEO of something you write about. So, every time you go to ask for this analysis you have to give the instructions to Claude, but If you load a Skill you do not need to give the instructionsand you can simply activate it and write the text you want to analyze. How to create your own Skills To create your own Claude skill, you need to open the AI ​​and click on the section Personalize that you have in the left column. Remember that Skills are a paid function. When you click on Personalizeyou will access two different options. On this screen, you must click on the option Skills that will appear next to the connectors. You will enter the Skills page, where by default you will see several examples of those created within Claude himself. Here, click on the + button above, and in the menu that opens choose the option Write the instructions for the skill to create one in the simplest way. This will take you to the screen where you will have to fill out the three fields necessary to create your Skill. You will have to give it a name, instructions and a knowledge base in the event that the latter is necessary. Three fields to define your new Skill The first thing you have to do is give your skill a name. This is the distinctive name it will have, and with which it will appear in your list of created Gems. It is recommended that it be a clear and distinctive name. The name will appear as if it were a file, with hyphens instead of spaces and in lower case. Then you will have to specify description. It’s a short description that will appear overlaid when you mouse over it in the skills list. Therefore, you have to write a short summary of what you do. Claude will look at your skills in each prompt you write, to use it in case he detects that you have referred to one of them with the task you have asked of him. That is why it is important to have useful and direct information in the name and descriptionso that both the AI ​​and you can distinguish what each one is for. Then comes the most complex part, because you will have to write detailed instructions of skill. This is the most important step, because it serves to define the role, tone and rules that this automation must follow. You have to specify everything you can when you are going to write these instructions. These are some of the most important aspects to include in the instructions when you go to create your Skill: Personality: You will have to say what their role is, the character they should play and the tone they should use. For example, you can ask them to act like a rigorous but friendly college professor, or a light-hearted, Reels-focused content writer. Whatever you want, but this personality is important to define to establish behavior. Objective and rules: It is also equally important to specify what the main task of the Gem is, and what rules to use. For example, you can say, “Your job is to review the texts to find spelling and grammar errors and improve the structure,” for example. You can also say things like “Never talk about topics other than…” to make him focus on that specific task. Format: This is optional, but you will also be able to define the structure of the answers. For example, you can ask that I always start with a summary and then list in several points, or whatever you think is necessary. In the end, the point is to define a response structure that is useful and in line with the tasks you want this Gemini customization to perform. If you don’t clarify by writing the instructionsyou have the option of using Claude himself to help you write them. To do this, open the AI ​​in another browser tab, and in a chat ask it to generate instructions for creating a Skill, adding a couple of instructions from which to start. And that’s it. Once you have created a Skill, all you have to do is choose it from the menu from Claude’s new chat. You will have to press the + button, go to Skills, and choose yours. Once … Read more

what these skills are, what they are for, how they are used and who can use them to create their own Claude

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Let’s explain to you What are Claude’s Skills?also called Skills in Spanish. This is a method with which you can create custom versions of Claudean alternative to GPTs of ChatGPT or the Gems of Gemini. Skills are a very powerful feature, and also very open to be shared on the Internet. Its uses are as many as you can imagine. They are a series of instructions that you can add or generate, and that artificial intelligence will read before answering your questions. What are Claude’s Skills? Skills or abilities are a system with which you can create Claude customizationsor own versions of artificial intelligence. The skills are something similar to ChatGPT’s GPTs, but much more complete. They can be simple files like a GPT, but they can also be folders of instructions, scripts, or other resources. What you are going to achieve with this is that instead of using the generic version of Claude, when you use it loading a skill you interact with a version that is much more personalized and adapted to what you need, or that takes into account a specific context. Skills teach Claude how to complete specific tasks in a repeatable manner. In short, a skill is an encapsulated procedurethe way to tell Claude how to perform specific tasks, under what conditions and with what rules you want him to do it, without having to repeat these instructions in every conversation. For example, you can create a specific skill to teach you the rules of a board game you want to learn to play. Or you can also create it to help you improve your writing, to review your texts, or to teach mathematics to your children. They’re like skills that you set up and load whenever you want. When you activate a Skillwhen you make a request to Claude the AI ​​will first read the file for this skill, incorporating its instructions into the context window. If these instructions refer to other files, Claude will also read them, or if the instructions mention executable scripts the AI ​​will also execute them. What are Skills for? To understand what Skills are for, you must first take into account how Claude’s memory works. AI keeps some key data about you and how you want things, but does not remember the contexts from one conversation to another. In a chat you can give detailed instructions to do something, but when you open a new chat you will be starting from scratch. And this is where Skills come into play. If you usually or want to do recurring tasks with Claude, you don’t need to give detailed instructions every time that you are going to do it in a new chat. You can create a skill that contains all the precise instructions you need, and then load it whenever you want or are going to use it. This allows you to do several things. In the most practical case is to create a type of specific applications. For example, imagine that you like to analyze the SEO of something you write. So, every time you go to ask for this analysis you have to give the instructions to Claude, but If you load a Skill you do not need to give the instructionsand you can simply activate it and write the text you want to analyze. You can also use it to maintain your brand’s tone of voice when writing contentsuch as writing emails or making posts on social networks. You can use it to have a specific formula active when analyzing data, or generating code that follows your team’s internal standards. A Skill can be a simple set of instructions, but it can also be much more complex and include dozens of reference files. So, there are many ways you can schedule it. How to use Claude’s Skills In Claude you will find two types of Skills. One is the pre-designed ones, those created by Anthropic itself to give its AI capabilities to do specific things, and which are activated automatically when you ask to do something for which there is one of these skills. And secondly there are custom skillswhich are those created by any user writing instructions in Markdown. It doesn’t require any programming knowledge, because you can create them by typing the instructions, upload one you created outside of Claude, or even ask Claude to create one following your request. There are two methods to use Skills. The first is to mention it, add it explicitly so that what you write next takes these instructions into account. But they will also be activated automatically when you ask it to do something for which there is a Skill, such as creating web artifacts. How Claude’s Skills are created To create a Skill in Claude you have to go to section Personalize from the left column in Claude. Inside, click on the section Skillswhere you will be able to see all the pregenerated ones that the AI ​​has already created. Once you are in the Skills section, click on the + button and a dialog will open with the three available options. This will allow you to create one with Claude, manually write the instructions or load a Skill that you have downloaded or downloaded from somewhere. If you are going to create a Skill by handyou will only have to add a name, a short description and then write all the instructions you want it to include. You can expand all you want. If you decide to upload a skill, you will need to upload the .md file containing that name, description, and the skills in YAML format. You can also upload them with .zip or .skill fileswhere the SKILL.md file is with the instructions, but it also has other files that you should take into account and that are mentioned within the instructions. Who can use Claude’s Skills Anthropic’s pre-designed Skills can be used by everyone users, including free users. These are used … Read more

Spain awarded 20 million euros to Stellantis to create jobs in Galicia. Europe has prevented the money from being delivered

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20,660,434 euros. That was the aid that the Government of Spain granted in 2017 to PSA (now Stellantis after its merger with FCA) as “regional incentives for the correction of territorial economic imbalances.” Just two years later, the European Commission already doubted the appropriateness of this aid. Almost a decade after its delivery, Stellantis will have to return the money. 20.7 million euros. It was the money given by Mariano Rajoy’s Government in 2017 to the automobile conglomerate PSA. The company, then directed by Carlos Tavares, had been looking for money framed within the “Industrial Plan 2014-2020” in which funds from the European Union were available. The Spanish subsidiary of PSA, known as PCAE, requested aid of 392 million euros in 2014 to carry out the necessary actions to modernize the plant and launch a new model. The aid program was expanded, with another 100 million in subsequent years because PSA was going to produce a new vehicle platform and a new SUV car in Vigo. In 2017, shortly before Mariano Rajoy left Moncloa, the Government of Spain provided the aforementioned aid of 20.7 million euros since it corresponded to the maximum percentage allowed with respect to the investment that was planned to be used. many doubts. In 2019the European Commission was already beginning to doubt the legality or compatibility of this aid. In a document submitted thenquestioned whether the subsidies provided were meeting the criteria to create employment in the area. In said letter, PSA was already invited and the Government of Spain has explained the reason for this aid. In that document, the European Commission questioned whether the positive effects of the aid outweighed the negative ones and, therefore, that the decision to financially support the company with those more than 20 million euros was not economically doping its commitment to our country instead of taking production to the Trnava plant (Slovakia) with which Vigo competed. According to the European Commission, it believed that both plants were competing on equal terms and that the socioeconomic context of the Slovaks was no worse than that of Vigo. Furthermore, they pointed out that the defense that this aid helped preserve employment in Galicia in the face of a possible relocation to Morocco (a position defended by Spain) was not sufficient because PSA had already previously relocated other vehicles that were previously manufactured in Spain. Seven years of research. Already in 2020, Europe continued to defend that the Commission had its doubts “regarding the contribution of investment projects to the development of the region in question”, as they stated in elDiario.es. Then it was thought that the company’s true intention was to improve the factory facilities with the sole objective of improving the company’s competitiveness but that it had nothing to do with an improvement in innovation and local investments. There were even doubts about the compatibility of being able to deliver these aid to a company like PCAE (the Spanish subsidiary of PSA). One of the most compelling reasons presented by the European Commission is, as they point out in The Worldthe choice of the Vigo company to the detriment of the Slovaks. And it is considered that opting for a more economically developed region to receive aid contravenes the principles of cohesion of the European Union, which prevents the delivery of this type of subsidies. Case closed. Now, the Government of Spain has notified the European Commission that it is withdrawing the subsidy of 20.7 million euros. He has done it because he cannot prove its legality. As the money has not yet been delivered, the European Commission has closed the investigation, they explain in the Galician media. praza.gal. At this time, Spain has not been able to demonstrate that the number of jobs increased after the aid was granted nor that it represented an economic boost in the region. In fact, it was possible that the number of jobs could even be reduced, as they point out in Motorpassion. During this time, the money has not been delivered because it remained frozen with the European investigation. Now we know that Stellantis will not charge it. Photo | Stellantis In Xataka | The Stellantis factory in Figueruelas has been looking for a reconversion plan for years. You already have it: make Chinese electric cars

How to create a paper cut illustration from your photos with artificial intelligence, using ChatGPT or Gemini

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Let’s tell you how to create a paper cut illustration from your photos using artificial intelligence. We are going to tell you a prompt that you will be able to use in both ChatGPT and Gemini, although the result can vary greatly depending on which of them you use. Therefore, we will start by telling you the prompt that you should copy and paste, which is quite long and detailed. And then we will tell you the differences between using Gemini and ChatGPT to do this, because they are very notable differences. Illustration of paper cut from your photos To make this composition, you simply have to add a photo and paste the text to the prompt What are you going to introduce to artificial intelligence? Then, the AI ​​will analyze the content of the photo and generate the result. This is the textual prompt that you must add: “Turn this image (attached) into a soft illustration style by layering handmade cut-out paper, inspired by the aesthetics of papercraft dioramas. Use soft, rounded shapes, adorable, simplified character proportions, and minimal facial details (point eyes, rosy cheeks) to create a warm, charming look. Apply stacked layers of paper with visible depth, subtle shadows between layers, and clean cut edges reminiscent of laser-cut cardboard. Add a distinctive white outer layer surrounding each main character, similar to a thick sticker border or a cut-out white paper backing, clearly separating the characters from the background. This white layer should look like an intentional paper layer, not a glow or halo. Use a pastel color palette with muted blues, greens and warm neutrals, balanced and calming. Lighting should feel soft, diffuse and uniform, enhancing dimensional paper layers without harsh contrasts. Textures should appear matte and tactile, like thick art paper or EVA foam. Overall mood: Cozy, endearing, delicate and story-like, with a playful yet polished handcrafted look, suitable for modern illustration, children’s books or decorative art.​​​​​​​​​​​​​​​​​​​ Then, you only have to wait a few seconds and you will get the result. This will vary very noticeably depending on the AI ​​model you are going to use. As you can see, it is a very VERY long prompt, but since we have translated it into Spanish you will be able to read it, review it and even make changes. Differences between Gemini and ChatGPT results Gemini does the paper cut style best. Gemini does the cut paper style better when creating the resulting image from your photos. The result is very beautiful, smooth and with very schematic images. However, does not capture characteristic features very welland in the case of animals it can even change the color of their hair. ChatGPT captures details much better ChatGPT captures colors and details betterthe characters that appear in the images are much more recognizable. However, the cut-out paper is not made in layers like in Gemini, the style is much less artistic, and looks more like stickers overlaid on a background. Therefore, there are no perfect results, and it will be up to you to do tests and see what you prefer, whether realism or more of an effect of overlapping cut-out papers. Taking into account that each AI offers results with its own personality, you will have no problems choosing one or the other depending on the photo and the result you want. In Xataka Basics | How to create an image of yourself and a Pixar character with your face using artificial intelligence, with Gemini or ChatGPT

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