Gemini

Gemini is fine. But the local AI that Google has just launched for mobile phones is amazing

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At the end of last week, Google launched Gemma 4. Gemma is a family of generative AI models with a small footprint: models with effective parameters between 2B and 4B created primarily for deployment on mobile devices. Despite their size, they are dense models, and during the weekend the topic of conversation has been mainly this. How to install Gemma 4. You can install Gemma 4 so that it works offline on your phone, regardless of whether you have an internet connection or not. The installation process requires an additional app signed by Google: Google Edge Gallery. This open source app allows you to interact with AI models downloaded to your phone, without the need for an internet connection. And, since the launch of Gemma 4the model can run on mobile phones. Gemma 4 models are available in 4 parameter sizes: E2B, E4B, 31B and 26B A4B. The greater the number of parameters, the greater the capacity, but the more energy and memory is consumed. What does Gemma 4 do. Gemma 4, to date, is one of the best local smartphone models. According to Google, it surpasses the latest versions of DeepSeek, qwen and Kimi. We can use it as a chatbot (taking into account its limitations as it is not connected to the internet), ask it questions about any image we have in the gallery, as well as transcribe and translate audio. Because yes, now Google’s local models are compatible with audio and even real-time vision (if we give it camera permissions). In addition to these uses, it has its own skills: these allow us to use specialized functions to create interactive maps, perform local searches within tools such as Wikipedia, perform calculations, etc. For the average user, these models represent a gigantic pocket encyclopedia that does not require any type of connection. What advantages does it have?. The first advantage of using local models like Gemma 4 is the processing speed. There is no lag, the response is immediate, and it is surprising when we come from connected tools like ChatGPT, Gemini or Claude. The second is security: the model does not have an internet connection and the data does not leave your device. You can use them in airplane mode or in any area without coverage. Currently these models are not a replacement for large connected AIs, they are a perfect complement for situations in which we do not have a connection, and we want to continue having a model for very specific tasks. Why is it important. That Google is redoubling its efforts in local AI responds to several current and future demands. Running AI on servers is worth a fortune and is generating crisis like that of RAM. Winning in local alternatives is increasingly important. The war for open models is one in which it does not want to be left behind: Llama, Mistral, DeepSeek. Companies, governments and a small portion of users do not want (or cannot) send their data to external servers. Local models solve the problem. Google is doing its homework well with Gemini, but without connection the mobile phone is left without AI. Google’s commitment to Gemma and its implementation through its own app leaves certain clues about possible offline Gemini functions in the future. In Xataka | Having an AI on my phone that works without an Internet connection is more useful than I thought: this way you can start it

How to convert GPTs or Gems into Claude Skills in case you want to migrate your ChatGPT or Gemini customizations

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Let’s tell you how to convert GPTs or Gems into Skillsso if you want to go from ChatGPT either Gemini to Claude you can take the automated versions of your artificial intelligence. And if you are going to change, remember that you can too migrate memory of everything other AIs know about you. 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 do something specific. They can be very complex, although we will teach you how to migrate the GPTs or the Gems simple, those that are simply instructions. Convert GPTs or Gems into Skills The first thing you have to do is enter ChatGPT or Gemini and go to the GPTs or Gems section. Once inside, you have to click on the edit button of the GPT or Gem that you want to convert into a Skill. This will take you to a screen where you can see the name, description and instructions of the Gem or the GPT. These are the data that we are going to use later, so keep the window open. Now what we are going to do is create a Claude Skill with that data. For that you must open Claude, and within his website you must go to section Personalize from the left column. Inside, click on the section Skillswhere you will be able to see all the pregenerated ones that the AI ​​has already created. 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 make it easy. This will open the field where you have to enter the name of the skill, the description and the instructions. Copy and paste the description and instructions of the GPT or the Gem so that the skill is similar, and then put the name you want, which can also be the same. One of the peculiarities of the Skills is that Claude will review them every time you ask him for something to use them automatically without having to attach them in case what you want corresponds to what the skill is capable of doing. That’s why, you can add to the instructions the request that he not do thisthat it only uses the skill if you explicitly ask for it or if it is added. And that’s it. What was once a simple GPT or Gem is now a simple Claude Skill. Now you just have to choose it from the menu from Claude’s new chat. You will have to press the + button, go to Skills, and choose yours. Once you have it selected, you just have to add the text you want, and Claude will process it according to the instructions of the skill you have loaded. In Xataka Basics | Claude’s Free Courses Created by Anthropic: 15 Official Certification Courses to Learn and Squeeze Your AI

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

The new Siri will not be Gemini with another face. Apple has helped Google to build what it could not do alone

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The new Siri, according to rumors, was going to land with iOS 26.4. This version arrived on compatible iPhones yesterday and, to no one’s surprise, there is no trace of Gurman’s prediction. What we have woken up with is new details about the agreement between Google and Apple related to access to Gemini. And there are interesting details. The agreement. Quick context: Apple and Google have teamed up to give Apple access to Gemini. The company has been promising for years that Siri, integrated into Apple Intelligence, will be an assistant that lives up to expectations. But after delays and more delays, it became clear that Apple needed help. The multi-year collaboration allowed Apple Foundation Models to rely on Gemini models, running on the platform Private Cloud Computing from Apple. Beyond this, no details about the agreement were revealed. The new. According to The Informationthe collaboration between Apple and Google will be somewhat deeper than expected. So much so that Apple would have full access to the Gemini model within its facilities. One of the company’s main purposes would be to produce smaller models designed to run locally and oriented to specific tasks within Apple devices. Distillation. Apple would not have agreed with Google to access Gemini with an integrated Siri interface. The objective is to use the main model to “distill” more efficient models, with lower requirements and fast operation. In other words and based on this information, Apple has made clear Google’s superiority in its AI models. So much so that he has needed to access them directly to be able to create the solutions that he has been promising for two years. What’s coming. According to Gurman, Apple is finalizing the changes to Siri to present it on June 8 at its WWDC, the developer conference it holds annually. In it, we will supposedly see Siri as a chatbot integrated into iPhone and Mac, as a real alternative to ChatGPT, Claude and Gemini. Late, very late. Apple’s problem is not being late with AI. It is coming at a time when giants like Claude iterate practically daily and when it is more than difficult to surprise the world. All the promises of Apple Intelligence, that contextual Siri, and that deep integration with the phone are already achieved by some of its rivals, since Apple has been waiting for two years. The big question is whether or not it will be worth the wait. In Xataka | Apple confirms the date of WWDC26 and hints at something important: AI will not be the only focus

How to use Google AI Studio to create your own Gemini without filters or defining its censorship

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Let’s explain to you how to use Google AI Studio to set up a Gemini chat that does not have security filters. Thus, you will be able to chat without the protections that the website has. Gemini by default with the same model that uses the chat with artificial intelligence. Google AI Studio It is a page that has many functions, you can from creating applications and code to playing with the AI ​​models created by Google by configuring the way it responds to you. And this second is what we are going to teach you in a quick and simple way. Gemini without filters in Google AI Studio The first thing you have to do is enter Google AI Studio and open a new chat. For that, you have to click on the option Playground or go directly to aistudio.google.com/prompts/new_chatalthough this will be what the tool itself does by default when you enter. This will put you in a new chat. In it, in the right column you will have several options to configure it. Here you have to go down to the bottom and open the section Advanced settingswhich will be closed by default. Once inside, click on Safety Settings to proceed to configure chat security. This will open the key window, where you can completely disable security filters that censor the content of your chats. Of course, even if you reduce it there will still be minimal protectionssuch as for adult content. Therefore, basically what you are going to do is reduce the filters to a minimum. And once you have it, just close the window and start chatting normally. The conversation will take place with these filters. Two small details to take into account Although just using Google AI Studio to chat does not involve the use of the APIat the top of the chat you will be able to see the account of tokens you are spending and their equivalent in money. Thus, if you built an app that requires the API to make these dialogues, you would know the money it costs you. Another thing to note is that on the right you will be able to choose the Gemini model that you want to use. Each of them will have a different token consumption, but also more or less possibilities. Besides, you can configure some system instructions in case you want to define the tone you want Gemini to use or its responding style. In Xataka Basics | Free Gemini API: what it is, what it is for and how you can get one to use in your projects

Gemini just pushed you towards something more ambitious

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If we need to get somewhere, check how long a trip will take or find a nearby restaurant, it is very likely that we will open Google Maps. The application has become over the years one of those everyday tools that we use both when we travel and when we move around our own city. Since its debut in 2005 as a service designed to help us get from point A to point B, Maps has been incorporating functions that expand its role in digital life. What Google just announced points to a new change in that evolution: the incorporation of artificial intelligence so that the map not only guides us, but can also answer our questions about places, routes and plans. Ask the map. This novelty turns the map search engine into a conversational interface. Instead of typing the name of a site, we can ask more open-ended questions and get recommendations tailored to the context. According to the Mountain View company, the system is based on information about more than 300 million places and contributions from a community of more than 500 million users who publish reviews, photos and ratings. Additionally, recommendations that appear on the map can be quickly converted into actions within the application itself. If we find an interesting restaurant, for example, we can save the place, share it with friends or start browsing in a matter of seconds, and the company adds that in some cases it will also be possible to make reservations. For travel, the system can suggest stops between different destinations and display them on the map with clear directions and estimated arrival times. Google further explains that these responses can be customized based on signals such as places that the user has previously searched for or saved in Maps. More visual navigation. If Ask Maps changes the way we explore and decide, the other big leg of the announcement points directly to how we follow a route within the application. This is where Immersive Navigation comes in, the redesign with which Google wants to make driving more intuitive. In this case, the map starts to show a three-dimensional view of the environment with buildings, overpasses and relief, and also highlights elements of the road such as lanes, traffic lights, pedestrian crossings or stop signs when they can help in a turn or merge. Google also ensures that this new navigation will offer a broader view of the route, more natural voice directions, information about the pros and cons of alternative routes and help in the final section, such as the entrance to the building or the nearby parking lot. Google’s bet on Gemini. The technology that makes Ask Maps possible is part of a much broader strategy within Google. Gemini is the company’s family of artificial intelligence models, designed to work with different types of data, such as text, images, audio, video and code. Google is progressively deploying it in several of its products, from the Gemini chatbot to tools within Google Workspace or the Pixel 10 and Pixel 10 Prowhere it acts as the default assistant. Integrating these capabilities into Maps fits with that movement: bringing generative AI to services that are already part of the daily lives of millions of users. Google Maps evolves. When it launched more than two decades ago, the idea was relatively simple: offer an easier way to get between two points. Over time, however, the product has expanded its reach with new features and sources of information. Google introduced real-time traffic a few years after the launch, Street View in 2007 and turn-by-turn navigation in 2009. Added to this were tools such as offline maps or the ability to consult hours, ratings and prices of millions of businesses. This entire data ecosystem is what now allows functions like Ask Maps to interpret more complex questions about places and plans. When will it be available. As is usually the case with this type of function, the rollout will be progressive and will not reach all markets from day one. Google has announced that Ask Maps is now rolling out in the United States and India, available on both Android and iPhone devices. The company has also announced that the experience will come to the desktop later, although for now it has not specified when it will expand to other countries. In parallel, Immersive Navigation begins to be deployed in the United States and will be extended in the coming months to compatible iOS and Android devices, in addition to CarPlay, Android Auto and cars that incorporate Google built-in. We will have to wait to know exactly when it will land in Spain. Images | Google In Xataka | At Amazon they have realized something: their developers spend more time fixing AI bugs than anything else

summarize everything in your email inbox with Claude, Gemini or ChatGPT

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Let’s explain to you how to make summaries of the newsletters you have in your email punctually with artificial intelligence. So, if you see that they have been accumulating but you don’t have time to read them, you will be able to ask the AI ​​to summarize them all for you. If your email is Gmail you can resort to Gemini already Claudeand if you have an outlook email then you can do it with ChatGPT. These are the AIs that have connectors for each mail service. But we will also start by telling you how we recommend organizing the newsletters in the email so that it is easier for the AI ​​to find them. First, organize your newsletters Before you start, I recommend tag all newsletters with the label or category system that Gmail and Outlook have. This way, you will be able to later ask the AI ​​to search directly in these categories instead of having to analyze the entire content of your email. Therefore, take your time entering the newsletters and tagging them. At first you will have to label them all, but then, each email address will be linked to the labelmeaning that the next ones that arrive to you and are not new will already be well labeled. Now link AI to your email Claude has a connector system where you must add and activate Gmail. Gemini allows you to do the same with its Connected Appsand in ChatGPT you have a section Applications which allows you to connect Outlook. With this previous step, you will have to link your email account to the AI ​​so that it can access and read your emails. If you are most concerned about your privacy Maybe you should reconsider doing this, because in the end you are going to link your account to the AI, so it can read and process all your emails when you ask it, storing its content on your company’s servers. The emails will no longer be private, you will be sharing them. Now, ask the AI ​​for a summary And now it’s time to go to the AI ​​and write a message asking for the summary. This prompts It has to mention Gmail or Outlook depending on the AI ​​you use and the email you have linked, and if you have done what we have recommended you have to indicate the newsletter label and ask for a summary. Besides, you can specify the structure of the summary so that it is more to your liking. This is the prompt that I have used: I want you to enter my Gmail account, analyze all the emails in the “Newsletters” label, and give me a summary of their content. It has to be a schematic summary, with an H2 for each email telling me the title and sender, and then bullets where you explain the most interesting points of its content. With this, the AI ​​will start to see the emails within your account and will give you a summary as you have requested. Here, keep in mind that you can simply tell it to search for the newsletters without having tagged them, but then there is the possibility that it will not find them all or consider something as a newsletter that really is not. Each AI will give you the results in its own wayalthough maintaining the structure that you have requested if you have specified it. Thus, with the prompt that we have used you will have everything summarized in several points so that you can read it in just a few minutes. In Xataka Basics | Claude: 23 functions and some tricks to get the most out of this artificial intelligence

Select the model to use between Claude, GPT, Gemini, Kimi, Grok or Sonar

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Let’s tell you how you can choose the artificial intelligence model What are you going to use with? Perplexity in a prompt. This is a chatbot known for allowing you to access many cutting-edge models from third-party companies, something it does automatically depending on the request you make. However, if you are going to use Perplexity, it is advisable to know one of its functions basic, being able to choose by hand which model you want to use. And yes, every time Google, Anthropic or OpenAI launch a new model of artificial intelligenceat Perplexity they are going to add it to their catalog. The results will not be exactly the same as if you use the paid versions of ChatGPT, Grok, Claude or Gemini, because Perplexity may modify them a little. However, you will be able to take advantage of the reasoning power of these models. Choose the AI ​​model to use in Perplexity To choose the AI ​​you want to use in Perplexity, you have to look at the box where you write the prompt. In it, you must click on the option AI modelwhich will appear with the icon of what appears to be a chip. It is to the far left of the series of icons that appear at the bottom right in the prompt writing field. When you click on that button, it will appear a list of all models of artificial intelligence that you can use. Both the best and the latest available from Gemini, GPT, Claude, Grok, Kimi or Perplexity’s own Sonar will appear. This is something that you can do in its web version or in its mobile or computer applications. Here, you should know that you can choose the model with each prompt within a conversation with Perplexity. Come on, you can ask a question with one model, and then ask the next question with another. Also, below the list you will see the number of queries you can make with the most modern models. In Xataka Basics | The best prompts to save hours of work and do your tasks with ChatGPT, Gemini, Copilot or other artificial intelligence

How to create songs in Google Gemini using its Lyria component

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Let’s tell you how to create music with Geminithe artificial intelligence from Google. Gemini has just implemented the Lyria model within its AI assistant, which is capable of generating songs from your prompt of text. With this, Gemini begins to compete with Suno and other tools for create songs with artificial intelligence. It is true that Lyria in Gemini is still a little far from what the competition offers, but it is capable of generating amazing results. It will create both the music, the lyrics and the voice of a song. You just have to describe what you want, and the AI ​​will sing in your language without problems. The songs it generates are just 30 seconds longsmall musical clips that you can share. How to create music in Gemini Let’s tell you the two methods you have to create music using Gemini. One of them is a method with which the AI ​​tries to help you step by step to configure your musical style, so that it is faster, and the other is just invoking the creator with a prompt Make music with Gemini from its tools The first method is choose the option Create music from the Chrome tools menu. Simply click on tools and choose the option Create music. The option may also appear in the suggestions that appear below the writing field when you start a new chat. This will take you to a screen where you will be able to choose musical style that you want to use for your song. Each of these styles or pre-generated songs to work from has a button to listen to them, and you will only have to click on the style you want to continue. Now you simply have to write a prompt describing the song what do you want to do. When you do, you’ll see Gemini start thinking and summon Lyria, and then she’ll generate a song for you that you can play and even share. You will also have the option to regenerate the result or write a new prompt in which you request the changes you want to make. In this prompt you can give all kinds of details, such as musical style, subgenre, language, rhythm, theme, and you can even add the letter or tell it only words or phrases that you want the lyrics to include. You can specify structures, music speeds, whatever you want. Create a song in Gemini with a single prompt The second method is simply directly writing a prompt with everything. Here, the only important thing is that at the prompt indicate that you want a songand then describe how you want it to be. When you do this, when processing your request Gemini will realize that you have requested music or a song, and will directly run the Lyria tool to generate it. In just a few seconds you will have your song. Then you will be able write more prompts to request changes on the created song, or directly to compose a new one. In this prompt you can give all kinds of details, such as musical style, subgenre, language, rhythm, theme, and you can even add the letter or tell it only words or phrases that you want the lyrics to include. You can specify structures, music speeds, whatever you want. In Xataka Basics | How to Improve Gemini Answers: 14 Steps to Ensure Higher Quality and Better Sources

Anthropic corners Gemini 3 Pro and GPT-5.2 more than ever

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Think for a moment about the artificial intelligence models you have used in recent days. It may have been through ChatGPT, Gemini either Claudeor perhaps through tools like Codex, Claude Code or AI Cursor. In practice, the choice is usually simple: we end up using what best fits what we need at any given moment, almost without stopping to think about the technology behind it. However, that balance changes frequently. Each new model that appears promises improvements, new capabilities or different ways of working, and with it a fairly direct question returns: if it is worth trying, if it can really offer us something better or if what we already use is still enough. Claude Sonnet 4.6 just came to the foreand this is how it is positioned against the competition. Claude Sonnet’s starting point 4.6. Here we find what Anthropic describes as a transversal improvement in capabilities, which includes advances in coding, computer use, long-context reasoning, agent planning, and tasks typical of intellectual and creative work. Added to this set is a context window of up to one million tokens in beta, designed to process entire code bases, extensive contracts or large collections of information without fragmentation. Three levels, the same map. To understand where Sonnet 4.6 fits in, it’s worth looking at how Anthropic tends to organize its family of models into different levels with different objectives. Haiku prioritizes speed and efficiency, Opus is reserved for tasks that require the deepest reasoning, and Sonnet occupies the middle ground, designed as a balance between capacity and operating cost. Within this framework, the company maintains that the new Sonnet comes close in some real jobs to the performance previously associated with the Opus, an ambitious claim. When AI starts using the computer. One of the improvements that Anthropic highlights most strongly in Sonnet 4.6 is its progress in what it calls computer usethat is, the ability of the model to interact with software in a way similar to a person, without depending on APIs designed specifically for automation. This progress is supported by references such as OSWorld-Verified, a testing environment with real applications where the Sonnet family has been improving steadily over several months. The company also recognizes limits and risks that we have talked about before, such as attempts at manipulation through prompt injection. Searching for the ‘best’ model. At this point, the relevant question stops being how much Sonnet 4.6 has improved in absolute terms and begins to focus on how it is compared to the other large models that today compete for the same space of use. The comparison is not simple nor does it allow for a single winner, because each system excels in different areas and responds to different technical priorities. That is why it is advisable to read the benchmarks with a practical perspective, identifying in which specific tasks the real differences appear. Where each model stands out. The direct comparison with GPT-5.2 draws a distribution of strengths rather than a clear victory. According to the table published by Anthropic, Sonnet 4.6 stands out especially widely in the autonomous use of the computer measured in OSWorld-Verified, in addition to showing an advantage in office tasks (GDPval-AA Elo) and in some analysis or problem solving scenarios (Finance Agent v1.1, ARC-AGI-2). GPT-5.2, for its part, maintains better results in graduate-level reasoning (GPQA Diamond), visual comprehension (MMMU-Pro) and terminal programming (Terminal-Bench 2.0), with nuances such as results marked as Pro in some tests (BrowseComp, HLE) or self-reported grades in Terminal-Bench 2.0. The comparison with Gemini 3 Pro introduces a different nuance, because here the advantages are concentrated above all in the field of reasoning and general knowledge. The Google model obtains better results in graduate-level reasoning tests (GPQA Diamond) and in wide-ranging multilingual questionnaires (MMMLU), in addition to being ahead in visual reasoning without tools (MMMU-Pro). Sonnet 4.6, on the other hand, retains a certain advantage when external tools or scenarios closer to the applied work come into play. The absence of some comparable data in the table itself forces, in any case, to interpret this duel with caution. Where Sonnet 4.6 can be used. The new model is available in all Claude plans, including the free level, where it also becomes the default option within claude.ai and Claude Cowork. It can also be used through Claude Code, the API and the main cloud platforms, maintaining the same price as the Sonnet 4.5 version. After going through capabilities, limits and comparisons, the real decision returns to the user’s daily life. Sonnet 4.6 aims to be especially useful in productive tasks, direct interaction with software and long workflows, while GPT-5.2 and Gemini 3 Pro maintain advantages in academic reasoning, visual comprehension or general knowledge depending on the test considered. No one dominates all fronts, and that fragmentation defines the current moment of artificial intelligence. Images | Anthropic In Xataka | In 2025, AI seemed to have hit a wall of progress. A volatilized wall in February 2026 In Xataka | The great revolution of GPT-5.3 Codex and Claude Opus 4.6 is not that they are smarter. It’s that they can improve themselves

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