Gemini

Gemini should not be called Gemini. It should be called Google

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In the last 25 years we have “google” things. If we wanted to find answers on the Internet, we were looking for them in Google. But Chatgpt is beginning to clearly threaten the future of that search engine, and a trend is growing slowly but sustained: we are increasingly looking for in Chatgpt or in one of its direct rivals, and every time we do less on Google. Will we “chatgpteand” things instead of “google them”? The solution: the king has died, live the king. If Google wants to prevent Chatgpt from becoming the tool to search and answer questions, it has a potential output: Make Gemini be Google’s central engine, turn the traditional search engine into an AI search engine. Hello, Google Classic. Gemini should be Google’s search engine, while Google’s search engine should become something like “Google Classic”, a relevant option but should end up going to the background. Google would continue to be called Google, but below the engine would not be the traditional search engine, but Gemini and its conversational search. OpenAI wins in users. Although Gemini has achieved (or overcome) to chatgpt in benefits and quality, today the general public associates with Chatgpt, not with Google. In Openai today they win in the most important battle: user. The danger is that chatgpt sweeps popularity. The US antitrust trial to Google He has revealed that Gemini has 350 million monthly users (at least they use it once a month). According to data from Google herself, Openai has about 600 million active monthly users. The data is not entirely conclusive and can be misleading. Perception – and some independent analysis They confirm it– It is that ChatgPT is for the moment much more popular than Gemini as chatbot. And Google’s search engine has broken. The feeling for a long time is that the drift of Google search engine is clear. There are divided opinions, of course, but what seems evident is that The search engine has broken And it is no longer what it was. That shows that those who seek human responses usually add “reddit” at the end to avoid artificial and useless search results. The “ai overViews” or “views created with AI” are increasingly frequent in the traditional Google search engine. The transformation, it seems, is underway. But Google is reacting. Here the company led by L actar Pichai is moving little by little, and we are seeing how its “AI overViews” begin to be increasingly frequent: when looking for something on Google it can often appear an answer generated by the which is located above the list of traditional links of the results page. Careful transition. Here the company is being clearly cautious because the reputational damage if they are wrong in the response can be huge, as they have already suffered Not one but twice. And yet, the transition seems to be underway, as shown by that recent behavior of the search engine. Google can be calm (for the moment). However, all this does not seem to be a problem for Google. The search engine market quota remains spectacular with almost 90% of the market According to Statcounter Globalstats data. A report by the sparkoro co -founder, Rand Fishkin showed That in searches the Google market share is 373 times that of Chatgpt, which in the best case would hardly have a 1% market share. Chatgpt is used to search, yes, but only three out of 10 times according to a recent Semrush report. People do much more to search in chatgpt. A Semrush report Analyzing 80 million Prompts shows that 70% of the requests of Chatgpt users were not to look for answers, but for other cases such as creating images, summarizing texts, writing code or doing their mates. But the antiponopoly trial stalks. These days Google lives one of the greatest threats in its history, if not the greatest. In the US they want to chop itand one of the consequences that are discussed would be to prohibit agreements Like Google and Apple To promote the use of your default search engine. Apple has already indicated that it does not rule out finishing using an AI search engine. And the rivals squeeze. And it is not only chatgpt or its search engine mode. Perplexity is a striking reference When looking for with AI, and Bing has been raising that transformation for some time. Microsoft had much less to lose in this market and bet everything for the search engine with AI. They and others are taking advantage (or will end up doing it) reality: these “response engines” are a powerful claim for users. They give you everything too massive, they take away work, and they conquer you with their conversational modes. Talking is more attractive (and natural) than looking for. Image | Markus Winkler In Xataka | Search on Google and you will find (almost) without leaving Google: the search engine contains you more and more, but there are promising alternatives

Desperate for competing with Chatgpt, Google has a plan for Gemini to be everywhere: pulling wallet

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We already know how many monthly users GEMINI has: the same as chatgpt in a single week. 350 million people using Google AI compared to the almost one and a half of OpenAi. And if we know something about Google, it has never liked to have competitors. He Progressive replacement of the Google Assistant By Gemini it was a statement of intentions: Google wanted Gemini to be in absolutely all phones. And no, the pulse has not shaken to get the wallet and force the pre -installation of this app. Google, Gemini and Samsung. A profitable exchange. Samsung is, by far, the manufacturer who More is betting on artificial intelligence in mobile territory. And the vast majority of these functions are behind Google, responsible for the Gemini Nano model of which it uses One UI 7. The a priori agreement could seem the classic Google-Manfabricaro android relationship, but Monopoly trial who is facing Google has made it clear that there is something else in between. Google paid Samsung to pre -install Gemini. Peter Fitzgerald, vice president of platforms and associations of Google devices, testified in the Federal Court of Washington as part of the antimonopoly case of the Department of Justice, According to Bloomberg. In his statements, he acknowledges that Alphabet Inc. paid Samsung Electronics Co. to preinstall Gemini on the company’s phones and devices. This contract, with a minimum duration of two years, establishes fixed monthly payments for each device with pre -installed Gemini, and a percentage of the income obtained by Google with the subscription to Gemini’s payment modalities. Paying to install is not legal. One of the keys to this case is in the precedents. In the past Google paid its partners so that its search engine was predetermined, something that was declared illegal. Since 2020, Neither Google Chrome nor the search for Google are the default options on Android. Google also paid Samsung 8 billion dollars for Google Search, Play Store and Google Assistant to be predetermined in Galaxy mobiles. The federal jury analyzed the case ruled that Google I was abusing his power with these policies. The judge will now have to determine whether Gemini’s pre -installation in exchange for money was legal or not. Gemini, Gemini, Gemini. Gemini is not just Google’s artificial intelligence, it is one of the largest doors at the income level that has been opened to the company in recent years. Although Sissie Hsiao herself is still a service without advertising, charge on Google at the head of Gemini, she has acknowledged that Google is the company to “monetize Gemini with ads as soon as possible. “Motorola cannot get rid of its obligations with Google and that is why they cannot change the predetermined assistant on the device.” Similar practices with other brands are reflected in the framework of the same antitrust judgment. Google’s contract with Motorola (Lenovo Group Ltd.) prevented perplexity AI as predetermined assistant on its devices. “A gun in the temple” according to Dmitry Shevelenko, business director in Perplexity. A trial that can change everything. The American justice, together with the constant persecution of Europe to Google for monopoly practices, have managed to make Android a somewhat more open system to third -party developers. If it ends up declaring illegal that Google Preinstal Gemini as an assistant, Google’s plan to compete from you to you with a GPT that quadruples its active users will be difficult to execute. Image | Xataka In Xataka | Google Lanza Gemini 2.0 with a gift for users: free access to its reasoning model

With Gemini he is doing practically everything good

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I may not seem like it, but Google is winning The artificial intelligence career. At least when it comes to the performance of their models, which do not stop winning battles in the most grenades. Its most recent model, Gemini 2.5 pro experimental, is the one that takes the most score so much in the Artificial Analysis Intelligence Index as in LMARENA. Both combine the results of various specific benchmarks (mathematics, programming, scientific issues) to show how Gemini’s model is ahead of its competitors. Source: Artificial Analysis Intelligence Index. But winning in the benchmarks does not seem so important. Especially when one thing is what the benchmarks say and what is the perception of the conventional user. For those who use various models regularly, the feeling is that They are all really good In many scenarios. And yet, that perception also seems to be favoring Gemini 2.5 Prothat in the last days has received many Praise in social networks. The model not only behaves well: Is faster that your rivals in tokens generation per second Is One of the cheapest And has a context window of one million tokens only surpassed by the recent launch of Call 4 Google also has another cartridge in the bedroom: Gemini 2.5 Flash is not so powerful in benchmarks, but it is even faster and much cheaper than its older brother. The price of Gemini 2.5 Pro experimental is really low if we compare it with that of its main rivals. Source: Artificial Analysis Intelligence Index. Is even cheaper that Deepseek V3 and R1, which were the traditional referents in that section. This version also has a small size, which makes it especially interesting to finish in our mobiles. And if we talk about Open Source modelsGoogle also has good proposals. Gemma 3 appeared A month ago to prove it and the Internal analysis From Google seemed to show that it is so good or better that calls 3.3. Comparative analysis is not so promising nevertheless, But Google is flooding the world of generative tools. Have Lyria For music, Image 3 For images, I see 2 for video and Chirp 3 For voice, all available via your platform VERTEX AI. It is true that there are higher platforms in these areas, and we have a good example in the model Imagen of OpenAiwhat has conquered the world With the images with Ghibli style. The thing also promises in the field of AI agents. Have Deep Researchas OpenAi, and it is possible to use it for free On the official Gemini website. Projects like Astra (assistant with augmented reality) and Mariner (autonomous browser control) also show a promising future. Demis Hassabis I confirmed these days What MCP (Model Contex protocol, driven by Anthropic) will be adopted by Google, which these days announced Something similar with agent2agent protocol (A2A) to facilitate communication between AI agents. Revolutions have been This colossal deployment of AI solutions is being accompanied by a gradual but absolute integration of technology in the services and platforms with which the world has conquered. The GEMINI presence In Android it is a good example that extends to new functions both on Gemini’s website as In Gmail or your office suite, Google Workspace. And for programmers that model is not only one of the most remarkable: they have just made an integral part of Firebase Studiowho wants to compete With cursor and other agricultural platforms dedicated to programming. Notebooklm is another of the magical tools of the firm –One of our favorites– But there is an even more special integration. What is, how not, that of AI in searches. Google knows well that your traditional search engine It is in danger. Perplexity or Chatgpt Search have shown the way, but for Google to adopt this technology it is Much more complex And his first steps They were erratic. Now things seem to be changing, and little by little that transformation of the Google search engine is consolidating, as demonstrated by the recent announcement of its “AI” mode. That is a sign of an expected and forced metamorphosis. One that goes slowly, but that little by little is crystallizing. Despite this colossal deployment of resources, who leads this segment in popularity is OpenAi. Today for a lot of people Use the equivalent to using chatgptand weakening that position will be difficult. Google, however, has powerful resources to achieve it. The competition may be absolutely fierce, but all these steps seem directed in a good direction. In Xataka | Google has the best researchers in the world. Now you will stop spreading your findings for competition

That my mobile can see for me is as scary as fascinating. I have tried Gemini Live’s eyes

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In December 2024 OpenAi surprised the world with a simply brutal function: Chatgpt had “eyes” and was able to see and interpret the world in real time. The demo was simply impressive: the app, through the camera, could recognize everything I saw. And everything is everything. In early 2025, Google announced great novelty to Gemini Liveyour advanced voice mode. A way that comes to compete directly with this chatgpt function, and that is already available for Google Pixel 9 and Samsung Galaxy S25. As long as you pay the Advanced subscription. I have been able to prove this function in a Google Pixel 9 Pro. And yes, it’s as impressive as you might think. The interface. Acting the new “Vision” modes of Gemini Live is quite simple. You just have to open the app and go to the advanced voice mode (the icon of the lower right corner). Once Gemini Live is opened, you will see two new direct accesses: one to give access to the camera and another to give access to your screen. Because yes, you can also read the content of the screen in real time. Camera mode. When activating the camera mode, Gemini will see everything that the camera transmits. It is simply spectacular how it is capable of recognizing absolutely everything, and how quickly is recognizing concrete aspects such as plant types, technological device model (without putting anything in it). We can ask you everything, and it serves as a guide, translator and … private professor. The latter has seemed spectacular: solve equations, psychotechnical problems and all kinds of questions explaining the step by step. Screen mode. This mode is perhaps the most movie at the privacy level but, if we are willing, Gemini is able to read everything you see on the screen. We can ask you any issues related to it. In this case I have not seemed so useful, since Google Lens gives us in a look at the necessary information if we are looking for something in particular. However, it is another sample of Gemini’s new potential. Do not trust AI, never. As always with AI, the recommendation is not to trust it. It is curious as, in a general plane of my desk, he has been able to perfectly recognize my computer. However, by focusing it directly, he told me that he did not see any computer. I have helped him asking if he is a Mac Mini M1 or a M4… and the answer has been that an M1 (they are very easily distinguishable by ports and size). He has also been wrong reading some numbers when asked about some psychotechnical test and, ultimately, you have to be quite above so that it works well. Nor of your questions. The problem shared by Gemini Live and GPT’s advanced conversation mode is clear: they are too much ask. To foster conversation, the answers with a question always end, something especially annoying in this mode of vision. It is very difficult to get to the grain, since it usually interrupts the complete answer with some question. It is still a smaller problem shared with all AI, but breaks the conversational flow a bit. Despite this, Gemini Live’s vision seems barbaric. Image | Xataka In Xataka | Google Gemini: What is it, how it works, differences with GPT and when you can use this artificial intelligence model

Personalized GPTS are one of Openai’s great inventions. Now Google has just released yours in Gemini

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One of the most interesting functions that chatgpt has are GPTS. In a nutshell, they are Chatgpt personalized versions created for specific purposes. We could have a GPT focused on correcting our texts, to solve mathematical problems or plan trips. It is a really useful function, but for now they can only be created by payment users. Anyone can use them, but only premium users can create them. Well Google has decided to opt for a different path with Gemini and its Gems. And yes, the user win. Gems? That is the name that the equivalents of GPTs receive on Google Gemini. To all purposes, they are exactly the same. Instead of using Gemini’s “general” version, Gems allow us to use a specialized version in certain tasks. It is a function that, having dedicated the necessary time and care, can be very useful. 10 Google applications that could have triumphed For everyone. So far, only payment users could create and use Gems. That is, the only way to access this function was paying the 21.99 euros per month that costs access to Gemini Advanced. That is over. As plannedGoogle has released access to gems and, from today, creating them and using them is completely free. Gems creator | Capture: Xataka Options. Google gives us five predetermined gems focused on brainstorming, professional orientation, programming, learning and writing review. Grace, however, is to create ours. To do this, you just have to go to the Gems manager and start the process (or you can do it by clicking directly in This linkwhich is direct access). Important: Although gems can be used from mobile app (and deployment is being progressive), they can only be created in the web version. Some keys. When creating a GEM it is important to be clear, concise and descriptive. Here are Some tricks to get the perfect prompt. For example, if we want our Gem to serve us to correct texts in English, something like this should be put: “You are a text reviewer in English and aid to people to detect and correct failures in their writings. Your work is to analyze the texts, find all errors, explain to the user why he is poorly written and suggest improvements. Use a friendly tone. Use Spanish to give explanations. Be patient.” The result will be something similar to this: when giving the badly written phrase “I are not feeling lots well”, the GEM returns the following answer: Example of use of a Gem created by us | Capture: Xataka Models. In our Gems we can use the models we have access to Google Gemini. In the free version we can use Gemini Flash 2.0 and Gemini Flash 2.0 Flash Thinkingwhich is experimental. If we had the payment version we could use the most advanced models. Using the reasoning model can be really useful if we create a very specific Gem focused on answers that need precision. Limitations. Gems are very useful, but they have an important limitation: they do not admit the rise in documents, at least in the Spanish version and for now. In the English version they seem to admit them. Being able to upload documents is a very interesting function to consult bibliography, interact with a PDF, with an Excel sheet, etc. Let’s think about the potential that this has to analyze data, extract trends or digest a lot of information more easily. The problem is that, for the moment, we do not have it available. Cover image | Xataka In Xataka | Google’s results with generative come to Spain. And with them, an elephant in the media room

How to use chatgpt or gemini by taking out the information only from Wikipedia as the only source

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Let’s explain the way you can do Chatgpt consultations using Wikipedia as the only source. Sometimes, when you ask for a thing to artificial intelligence you can make mistakes, and even when you want me to explain something obtaining internet information, you can use unreliable sources to generate the answer. Meanwhile, Wikipedia has been positioned for many years A great source of collective knowledge. Yes, it also has errors, but there are much less. Therefore, we are going to tell you and explain the prompt that you can use both in Chatgpt as in COPILOT, Deepseek either Gemini. Ask the AI ​​to use wikipedia What we want to get is that the artificial intelligence chat we use use wikipedia as the only source to obtain information. In this way, you will look for what you have asked there, you will get written information, and generate an answer based on it. We can meet two problems. The first is that in addition to Wikipedia also use other sources, so that everything will no longer come from a single site. It may also happen that the answer is too technical. We will solve both things with the prompt. This is the prompt that we recommend: Explain to me in a simple way what is XXXX taking the information only from Wikipedia. Here, what you have to do is change the XXXX for what you want me to explain. You can also ask you to explain who a person is, or adapt it in the way you need for the request you have in mind. What we have done in this prompt is to add the “in a simple way” so that the answer it generates is colloquial. Besides, We have added the term only To specify that only use Wikipedia as a source, and that you do not obtain data from any other web page. In Xataka Basics | How to improve chatgpt responses: 9 steps to guarantee higher quality and better sources

Gemini Advance functions that become free in March 2025

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Let’s tell you what are the payment functions that become free In Gemini. As artificial intelligence chatbots evolve, it is common for every so often to be free, although with some limitations. Meanwhile, payment users also receive more and better functions. In step of the new functions that reach the payment version but they also do it to the free one more limited, the owners of the AI ​​allow you to verify its operation. Thus, if you like to the point that what they give you free is short, you may have more disposition to go to the payment version. Payment functions that become free Here are in format ready the novelties that arrive at the free version of Google Gemini. In each of them we will give you a small explanation so you can understand what it is about. You have these functions both in the web version and in Gemini’s mobile app. Deep Research: It is Gemini’s deep search, with which he does an investigation of what you ask to offer you more broad and precise results. This function can only be used a limited number of months a month that Google has not specified. 2.0 flash and 2.0 flash thinking: These become the predetermined models of Gemini. Gemini 2.0 flash and 2.0 flash thinking They are the “small” versions of the latest models launched by Google, much more capable and, in the case of the second, the answers to try to offer better results analyzed what you ask and the context in which you do it. More apps connected: Google Calendar, Tasks and Keep applications become compatible with the 2.0 Flash Thinking model. This means that you can make requests related to your content on them. Gemini Gems: The Gemini Gems You can use them without being a payment subscriber, and allow you to use gemini versions adapted to concrete tasks and create your own adaptations. Come on, you can make Gemini a programming assistant, a professional counselor and more. In Xataka Basics | Gemini guide: 36 functions and things you can do with Google’s artificial intelligence

Gemini Robotics is his plan for robots to act in the real world

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Robotics and artificial intelligence (AI) go hand in hand. It would be useless to develop humanoid robots capable of lifting tons, with state -of -the -art sensors, if we did not have an intelligent system that would allow them to interpret the environment and act accordingly. Without ia, a modern robot would be little more than a lot of sophisticated but useless hardware. They are the Advanced algorithms Those who transform that gross power into machines capable of learning, optimize their performance and respond autonomously to the challenges that are presented to them. From Asimothe iconic Honda robot of the 2000 Sophia, Tesla optimus either FigureAI has made its way in humanoid robotics. However, we are still far from seeing machines that really match the versatility of the human body. As advanced as they are, they still have trouble moving in un controlled environments and manipulating everyday objects can be a real challenge. Gemini Robotics: Google’s bet to take AI to the physical world Meanwhile, in the digital world, AI advances at a completely different rate. He is already able to hold conversations very close to those of a person, overcome exams with surprising scores and solve complex problems with a speed that until a few years ago seemed science fiction. A contrast that makes it clear that, although artificial intelligence progresses by leaps and bounds, there is still much Way to go in its integration with robotics. These challenges are leading to a new generation of AI models specifically for this discipline. Google, as expected, does not want to be left behind and already works on solutions that promise to take humanoid robots one step further. His bet goes through Gemini 2.0, that now has two versions designed to improve the interaction and control of these machines. On the one hand, Gemini Robotics It focuses on vision, language and action (VLA), which allows you to take direct control of robots and improve your response capacity in dynamic environments. On the other, Gemini Robotics-Er It is designed for robotics experts, giving them the necessary tools to develop and execute their own programs with advanced reasoning skills. Gemini Robotics-Er stands out in spatial reasoning with detection and signaling of 3D objects Google has identified three essential qualities that, as they explain, must have robots to be really useful for people. Generality. A good robot should not only execute predefined tasks, but also adapt to unpublished situations and solve problems on the march. It must be able to function in new environments, handle unknown objects and interpret varied instructions without depending on prior training. According to internal tests, its performance in unforeseen tasks far duplicates that of other vision-language models-last generation. Interactivity In a world in constant change, robots must be able to communicate naturally and respond to real -time instructions. Gemini Robotics includes commands in everyday language and in multiple languages, adapting their behavior according to conversation or environment. In addition, it continually monitors what happens around it and adjusts its actions based on new orders or changes in the stage. Skill. Many tasks that humans perform effortlessly require extremely precise motor skills, something that most robots have not yet managed to dominate. Gemini Robotics, however, is capable of performing complex tasks of several steps that require a thorough manipulation, such as folding Origami or packing a snack in a Ziploc bag, demonstrating a higher level of skill. Gemini Robotics not only stands out in the resolution of unforeseen tasks, but its generalization capacity far as the performance of other vision-language-action models. According to Google’s technical reportis able to adapt to unpublished scenarios and make decisions without prior training, bringing robots to real autonomy. In addition, it has been designed to function with different types of robots. Although he trained mainly with Aloha 2, a two -arms platform, he has also proven to control systems such as arms Frankaused in laboratories, and even more advanced humanoids such as Apollo, developed by Apptronik. Its flexibility makes it a model adaptable to various applications, from industry to assistance. For now, there is no scheduled date for a generalized deployment of Gemini Robotics or Gemini Robotics-Er. Technology is still developing and, for the moment, only a small group of companies is having access to these tools. Google Deepmind is collaborating with Apptronik in the construction of the next generation of humanoid robots, exploring how to integrate these models of AI in more advanced systems. In addition, some trusted tests, such as Agile Robots, Agility Robotics, Boston Dynamics and Enchanted Toolsthey are already testing Gemini Robotics-Er, although it is not clear if that access will be expanded in the future. Meanwhile, Google Deepmind continues to work on new security frames and benchmarks to evaluate the possible risks of AI in physical environments. All this makes it clear that, although the project progresses, there is still a long way before this technology reaches the general public. Images | Google Deepmind In Xataka | Faced with an AI that says yes to everything, a concern: this will never create an Einstein or a Newton

All their rivals offer free models that “reason” and Gemini 2.0 is the last example

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All the companies and startups of AI in the United States were so quiet going to their own. And suddenly Deepseek R1 arrived and became a true existential threat to Silicon Valley. The Chinese startup offered a model of reasoning as good as that of its competitors, but also offered it for free (and Open Source!). What has Silicon Valley did? Apply the story, of course. GEMINI 2.0 Razon Free for All. Enough that you visit the Official Gemini website and display the “Gemini” menu from the upper left to check it. You can already use 2.0 Flash Thinking Experimental (its reasoning model) both in normal mode and in “collaborative” mode with services such as YouTube or Maps. And it is totally free. Microsoft Copilot and Think Deper. Microsoft Copilot’s “Think Deper” mode is also available for free In this service of the company. As we explainThink Deper is actually OpenAi O1, but before Microsoft had to pay the subscription of Copilot Pro ($ 20 per month) to enjoy access to that option. The appearance of Deepseek R1 caused it to also offer it in a grauita way (although with a more limited number of consultations). OPENAI O1. The company led by Sam Altman didn’t want to be left behind and less than a week ago presented O3-minia reasoning model that in addition to being especially powerful is available in the Grauita version of chatgpt. We can activate the “Reason” button so that when we ask something, the O3 reasoning capabilities are put into operation. Deepseek R1 and perplexity. Perplexity’s search engine is gradually offering new options. In fact, a few days ago those responsible announced that On the perplexity website We could activate the Reasoning-R1 model based on Deepseek R1, but housed in the US (to avoid suspicions with possible data theft). They even give the option of opting for the Reasoning-O3-mini model, which is the same offered in Chatgpt. Again for free (although limited), but that stands out for being a comfortable way to try Deepseek R1 in its most powerful version. And the rest? This first batch of reasoning models seems to have taken on foot changed to the rest of the great contenders in the AI ​​segment. Anthropic, who is still a reference with Claude, has not launched a reasoning model at the moment. He has not done so Apple, who goes to his own pace. Meta has not launched anything in this regard despite offering a flame as a clear reference of the Ia Open Source model. And Elon Musk seems to be very busy, because Xai is still working In Grok And for the moment there is no news about a potential variant of reasoning. The only remarkable alternative for the moment is Doubao-1.5-Prothe reasoning model fresh by Bytedance, although it is not available as simple as its competitors. The competition benefits users. The impact of Deepseek R1 on the AI ​​segment has been spectacular as we see. When Openai launched O1 In September 2024 he did it by raising him as a very advanced option but also face: only the subscribers of his services could access it in a limited way. Four months later we are using models that rival O1 but that are totally free and that we can use with more and more options. They are great news for users, which at least for now are benefiting from all that rivalry between these companies. The AI ​​that reasons every time is better and cheaper (or free). A graph Created by Shawn Wang (@swyx) and published in his Newsletter, Latent Space, shows a clear evolution of AI models. In that graph you see how its capacity (measured at LMSYS points, a well -known ranking of AI models) is confronted with its cost per million tokens (ratio 3: 1 entry: exit). Here the right and the right is a model, the better, and Gemini 2.0 Flash Thinking seems to be especially well positioned, but this type of graph is changing very quickly. Again, more good news for us, users. In Xataka | Mistral AI is the French startup that opted for efficiency before Deepseek. His future is uncertain

How to use Gemini 2.0 Flash and 2.0 Flash Thinking with reasoning on the web or your mobile

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Let’s explain How to use Gemini 2.0 Flash and 2.0 Flash Thinking Experiment on the web and the application of Google AI. In this way, you can use The new models launched by the companyincluding the reasoning, which becomes free for all users. We are going to tell you where you are going to find this option, both in the web version and in the mobile version of Gemini. And we are also going to tell you how to use these models once you have activated them. Change the model that uses Gemini Gemini has an option to choose the model you want to use. In the web version, it is located on the left, and by default you will see that under the name of Gemini the model you are using appears. When you press on the model selector button, A window will open with the available Gemini models. This is where you can choose the normal 2.0 flash model, but also the Experimental Thinking To test the reasoning model, there is even one of reasoning to use with Google applications. This option It is also available in the mobile application. In this case, the models selector is in the upper central part of the screen, and the list of models will open down. When you activate a specific model, it will appear marked in the selection button on the left. In addition, you may have a message warning you of some details about its use. Now, simply Write the prompt you want To interact with this concrete model. And after writing your question, you will have the answer. The Flash Thinking model will show a window with reasoning that has followed step by step before building the answer. You can close this window if you are not interested, and the answer will appear at the bottom. In Xataka Basics | Gemini guide: 36 functions and things you can do with Google’s artificial intelligence

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