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Apple, Google and Samsung promised them happily with 5,000mAh batteries. Until China came to rub their hands on their faces

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The person writing these lines has an American mobile phone—made in China—with a little more 5,000mAh. A figure in which giants like Apple, Samsung or Google have been comfortably installed for years. Meanwhile, in China, Honor has just made official a phone with a 10,000 mAh battery. The launch is not surprising just because it has managed to literally introduce a powerbank inside a smartphone. It is surprising because it breaks a barrier that until now no one had dared to cross. Not due to lack of possibilities, but due to industrial inertia. The aforementioned. Honor has made the Honor Win and Honor Win RT. Two phones that, in addition to having the best Qualcomm processorshave a 10,000mAh battery made of silicon-carbon technology. The message is clear: this is not a typical high-end, it is proof that China is the leading benchmark in batteries for smartphones. thickness. For years there has been an unwritten but unquestionable rule: more battery means more thickness. The 10,000 mAh were reserved for rugged, bulky mobile phones designed for very specific uses. These Honor Win break that logic. They are thinner than a iPhone 17 Pro Maxbut with double the energy capacity. There are no gimmicks, fine print or marketing exercises: it’s a real leap in energy density. How did they achieve it?. Honor has not specified how they have managed to take the capacity to such an extreme but the person responsible is clear: silicon-carbon. This technology has been demonstrating for years that it is possible to introduce much denser batteries in the sizes in which lithium has already reached its ceiling. Chinese mobile phones have been standardizing for more than a year batteries over 7,000mAhand Honor’s move to reach five figures marks what aspires to be a new standard. The cons. Silicon-carbon poses certain challenges, and the first is degradation. These batteries, especially in their first generations, They seemed not to be at the same level as classic lithium batteries. Over time, the promised charge cycles are virtually identical to those of traditional lithium batteries (more than 1,500). The second is the cost: producing this type of cells is more expensivewhich partially explains why, for the moment, these figures reach China first and not global markets. In fact, a common practice is to find models whose Chinese version has more battery than the global version, reserved for the rest of the markets. A third key point is related to security and regulation. Denser batteries require stricter controls, and Western regulatory frameworks are not always prepared to adopt these types of advances so quickly. None of this invalidates progress. It simply explains why Apple, Samsung or Google have not yet made the leap. It’s not that they can’t: it’s that they haven’t wanted to take the risk… yet. China is going to force a move. The 10,000mAh batteries are, without much room for doubt, one of the biggest technological leaps in the world of smartphones after the arrival of AI. A figure that will allow us to normalize the three days of average use without going through the charger. The leap is so relevant that, whether they like it or not, “traditional” manufacturers will have to start making a move, as they had to start doing with fast charging systems. Samsung has already started implementing the 7,000mAh in phones like the Galaxy M51but its high-end is still at the 5,000mAh barrier. Google also moves in the 5,200mAh and Apple… is Apple. With a greater or lesser pace of implementation, these manufacturers are forced to keep pace with China in these advances. And that translates into admitting that we were wrong about lithium. Image | Honor In Xataka | The Android phones with the best battery of 2025: which one to buy and recommended models

Google Maps to find out how it has changed from the 50s to today

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Looking back to see what the maps of yesteryear were like can be fascinating because, well, you may find that In the Roman Empire they had a whole tangle of highwaysbut it is not necessary to go that far: the road infrastructure of the Spanish state has changed enormously in recent decades. You can ask your grandfather, but you can also see it in the latest and ambitious project of the National Geographic Institute. Spain in the 1950s was eminently rural, but agrarian modernization, industrialization and poverty led to the exodus of a significant part of the population from the towns to the cities. Throughout those 70 years, a dense and complex network of infrastructure and urban centers has been developed that did not exist before. Towns, cultivated areas and fields have been left along the way. For this ‘Google Maps of Spain from the 50s to today‘The IGN relies on Telespazio Ibérica, a geographic information company with satellite services. Its objective for nine months will be to launch the Historical Information System on Land Occupation in Spain (SIOSE). The new Historical Information System on Land Occupation in Spain (SIOSE) will be the most complete, precise and exhaustive tool to analyze the effects of climate change on the state’s ecosystem, the changes in territorial planning and land use in recent decades. As explains the director of cartography of Telespazio Ibérica, Óscar Muñoz: “The Historical SIOSE will not only include a complete database, but also a statistical and visual validation report that will guarantee the reliability of the results for scientific, urban and environmental uses. Thanks to this we will be able to see, objectively, how the Spanish ecosystem has changed and know which green areas have been lost, which urban areas have grown and how our landscape has evolved in the last 70 years.” The idea is to capture how its territory and landscape have evolved that period of time painstakingly rebuilding cities and towns, forests, crops, roads and buildings, among others. This Information System on Land Occupation in Historical Spain will be made up of 572 sheets of the National Topographic Map, ranging from the first complete aerial record of the territory (the american flight of ’56) and cartography generated later, both at the regional and state levels. In addition, Telespazio Ibérica is based on a pilot developed for the IGN and will have to refine it with a more precise and functional land coverage. To do this, they will use both digitization and automated image analysis and AI algorithms, which guarantee reproducibility throughout the entire territory. In Xataka | Castilla-La Mancha is about to shrink 2,000 hectares in favor of Aragon. All because of a 19th century dispute In Xataka | Who owns the maps in the world?

120 inches, Google TV and speakers. Now it’s on sale at MediaMarkt

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Winter is the perfect time of year to spend afternoons at home watching series and movies. If you want to do it in a big way, like in a movie theater, MediaMarkt has a discounted device that will be very interesting for you. It is about the Xiaomi Smart Projector L1 Pro. At MediaMarkt (although also in other stores) it is discounted to 269.99 euros. Although the advantage of buying it in this store is that you get a extra discount of 27 euros if you join myMediaMarkt. Xiaomi Smart Projector L1 Pro The price could vary. We earn commission from these links A cheap projector capable of reaching up to 120 inches This Xiaomi Smart Projector L1 Pro It has a compact size and a discreet yet elegant design, so you can place it practically anywhere. One of its star features is its luminosity of 400 ISO lumensso you can use it in rooms with little ambient light. Another of the hallmarks of this Xiaomi projector is that it integrates four speakers that offer a 5W poweralthough you can enhance the sound section with a sound bar or wireless speaker. Works under the operating system Google TVso it includes Google Assistant and Google Cast, so you can send content directly from your tablet or smartphone. Last, but not least, it can be highlighted that its light source is LCD type and allows project in size from 40 to 120 inches with resolution of 1,920 x 1,080p. Some alternatives that may also interest you 30000 Lumens Projector Supported WiFi Bluetooth AMEELA The price could vary. We earn commission from these links XGIMI MoGo 2 Pro (New) 1080P Mini Portable Projector The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Xiaomi In Xataka | Best home cinema projectors: which one to buy and five recommended models from 299 to 18,000 euros In Xataka | Mega-guide to set up a home theater: projector, screen, sound system and more

AI doesn’t just live on chips, it also requires massive energy, so Google has bought an energy company

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The AI needs a lot of energy and technology companies are already planning how to power their huge data centers. On the table there are such creative ideas as take them to space either submerge them in the sea to reduce its consumption. Google has opted for a more immediate solution: it has purchased an electricity company for data centers. The agreement. Google has purchased Intersect Powera company dedicated to developing energy infrastructure, including renewable energy sources, for data centers. Google has paid $4.75 billion for the San Francisco-based company, in addition to assuming its debt. According to Sundar Pichai: “Intersect will help us expand our capacity, operate with greater agility in the construction of new power generation facilities in line with the new load of data centers, and reinvent energy solutions to drive innovation and American leadership” Why it is important. The agreements of AI companies are usually focused on computing capacity, not energy. This agreement underscores the importance of energy in AI infrastructure, putting it on the same level as the very chips it powers. Data centers are being developed at a brutal pace and energy is presenting itself as a bottleneck. Satya Nadella already said it: there is no power for so many chips. It’s Google ensuring enough “food” for its chips. Yontersec. Google’s relationship with Intersect began just a year ago, when big tech acquired a minority stake in the company. Under this collaboration, several projects have come to light in their data centers. Both these projects and all Intersect personnel are part of the agreement. What the agreement does not include are other company assets, mainly located in Texas and California, worth 15 billion. These will continue to operate under the Intersect brand. Energy. In 2023, data centers already accounted for 4% of the energy consumption of the entire United States, and at the rate at which they are being built, the figure will continue to increase (there is talk of 12% by 2028). The problem is that US electrical infrastructure cannot support that pace and is having consequences for consumers through price increases in electricity. Google assures that with this agreement it will be able to guarantee “an abundant, reliable and affordable energy supply that allows the construction of data center infrastructures without passing on costs to network customers.” Image | Wikipedia, Intersect In Xataka | Talking about artificial intelligence is talking about energy, and the fashionable term is ‘bragawatts’

For Google, 2025 could have been a terrifying year. It’s going to end up being one of the best in its history

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It’s not how it starts but how it ends. If Google is having a Christmas dinner, that might be a good phrase to sum up what your year has been like as you raise your glass in a toast. And the Mountain View-based company began 2025 with several dark clouds on the horizon that threatened both its present and its hegemony for the future. But of course, it seems Google still has some time left. Google entered 2025 knowing that it had three major legal battles ahead that could end up amputating precious members like Chrome or its advertising business, with OpenAI in the rearview mirror in the AI ​​race and a troublesome new US president to adapt to. However, Google has not only emerged victorious, but has also managed to maintain the status quo of your structure (for now) and has emerged as the most cutting-edge AI company there is. And furthermore, the accounts come out: is breaking profit records. What has Google done to change its 2025 like this? Being in Google’s shoes in January of this year was not easy. Going through the courts was inevitable and the consequences were potentially devastating for their main sources of income. Declared a monopoly, there were possibilities before it such as the forced sale of Chrome. He also had to give explanations for anti-competitive practices in advertising and his battle with Epic Games It could have resulted in the drastic reduction of commissions in the Play Store on Android, opening the doors to other payment methods and third-party stores. Facing the Justice Department of Trump’s new era was not the best of scenarios either: it is not the first time that the new US president is critical of Google. AI has made them leave their comfort zone. After years of dominating with its combination of Google and Chrome, today the focus has been on artificial intelligence and here it could not be left out, among other things, because it is disrupting its search business. ChatGPT launched a new long-distance race, that of AI, where it started behind technologically speaking and has had to face new and old rivals: the veterans Microsoft and Meta, but also OpenAI and Anthropic. Billions of investment in R&D&I and data centers just to try to keep up. Google has made a huge bet with AI in every way with the hope that it ends up: 1. being profitable. 2. being one of the companies that survive to benefit from it. Because AI is in this phase of filming and expansion and is anything but profitable. And he is risking everything, even cannibalizing his goose that lays the golden eggs: his search business. However, its position is privileged: it has enormous economic muscle, an entire ecosystem and sectors where it leads. This 2025 the wolf was coming for Google, but it was not like that: You have avoided the sale of Chrome. Yes, the judge ruled that Google was a search monopoly, but he did not uphold the Justice Department’s most critical move. The DOJ defended that separating Google from its browser would eliminate one of the company’s great ways to attract users and direct them to its search engine. And be careful, because there was no shortage of buyers. The judge considered that this operation would be “incredibly complex and very risky.” It also allowed Google to continue paying Apple to ensure the prominent presence of its search products. But it did not emerge unscathed: the ruling requires it to share data with competitors (once, not continuously) and to limit exclusive contracts. The future of your advertising business is an unknown. Google yes lost its other big antitrust trial and here the DOJ wants to force you to sell your advertising exchange market and your Ad Manager tool. However, the judge’s predisposition seems to indicate that there will be an agreement that brings a change in behavior before touching the structure of Google, a slower process that could be delayed longer with an appeal from the company licensed by Sundar Pichai. Your (eternal) dispute with Epic. Google lost the case two years ago and this summer it was defeated again… and appealed again. Of course, along the way it has had to allow alternative payment methods and list alternative app stores. As in the previous case, Google hopes to soften the measures: for now it has already negotiated with Epic to reduce commissions and add a new category of registered app stores. Furthermore, it will do so globally. This is decided next month and if it goes ahead, Android will change but Google will still have control. It is not trivial, considering that a new operating system for PC based on Android will arrive in 2026. With Trump, a clean slate. The Mountain View company has had to use diplomacy and open its wallet. It should be remembered that after the capitol incident, Google banned Trump’s account from YouTube. Well, the president of the United States sued them and this year the soap opera has come to an end with YouTube paying 22 million dollars to close the agreement. On the other hand, Google was among the big tech companies that financially supported at the inauguration of the current president of the United States. If Google has had to defend itself in court, in technology it has gone on the attack. We could talk about the advances of the Pixel (which there have been), but the hardware It is not the company’s priority at all. Google has had a fantastic year in AI both in data and in story. Because with AI it is not enough to be the best, you also have to lead the conversation. Its video generator Veo 3 took over social networks, Nano Banana (and later, its Pro version) has starred in trends such as become a Stranger Things character either in an action figure. But it’s not just fashion: it’s that its video models, images and, ultimately, Gemini 3 … Read more

One night in 2000, Jennifer Lopez debuted a historic dress. And then Google changed the internet forever

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If you have a moment, go to Google and type something like “Jennifer Lopez 2000 Grammy dress.” Leave that new AI Mode section aside and tap on the ‘Images’ tab to find a green Versace dress with a jungle print that caused a real sensation in both the fashion media and the world of technology. In fact, that dress marked a before and after on the internet. Because before February 23, 2000, when we wanted to see what clothes the current star had worn to an event (to give an example), we had to wait for the news to appear on TV, browse through magazines or go to the Internet to Google it. And there you didn’t find the photo, but instead you had to wade through a sea of ​​blue text links to search through. There was no Google Images. We’re not even talking about videos. Before JLo’s Grammys dress, this was all field text Why it is important. Google’s decision to organize information based on images and not only on text not only changed the world of fashion as the work of a European brand went from being seen on the catwalks and little else, to reaching the entire world. It also modified our way of accessing information, laying the foundations for an Internet (and later, social networks) focused more on audiovisuals than on pure and simple text. These were the dawn of the internet of content. What started in July 2021 with an index of 250 million images, went to one billion images in 2005 and by 2010, exceeded 10 billion. Later, Google stopped offering that figure to focus on quality over quality. Paradoxically, in 2025 it is following the opposite path, massively deindexing images by considering them low quality or generated by AI. The context. In the year 2000, the Google search engine was not what it is now: the undisputed leader with almost 90% share. And the “almost” thing is something about the post-internet – ChatGPT had been overcoming that barrier for more than a decade. In fact, with just a couple of years of life, he was beginning his rise at a time when there was no hegemony as he managed to impose later, with others like Yahoo! and Altavista with greater weight. And then she arrived on the red carpet at the 42nd Grammy Awards, nominated that year for Best Dance Recording for “Waiting for Tonight.” Jennifer Lopez wore a semi-transparent green dress with a dizzying V-neckline that fell to her navel. If you already existed at that time and were old enough to watch TV, you surely saw it because because her dress was viraleven before that concept was used for matters other than biology. Seeing it once wasn’t enough, so people went online to look for it en masse. “People wanted more than text (…). At the time, it was the most popular search we had ever seen” counted Eric Schmidt for Project Syndicate. The former Google CEO explained that at the time “we didn’t have a sure way to get users exactly what they wanted: J.Lo wearing that dress.” Between the lines. That’s when started to cook Google Search Image. According to Cathy Edwards, director of engineering and product at Google Images, it wasn’t something that happened overnight, but JLo lit the fuse. There were few employees, but like Edwards explained In 2020, it was clear to everyone that they needed to build a photocentric search engine. The question was knowing what priority to give it. That same summer, Google hired a newly graduated engineer, Huican Zhu, and put him to work with Huican Zhu, who was the executive director of YouTube and who at that time was responsible for product. The two stood hand in hand and, According to Edwardsthey practically developed it alone to launch Google Search Images in July 2021. In Xataka | People are so fed up with the current Internet that they are returning to MySpace. Not out of nostalgia, but out of rebellion In Xataka | All the times that throughout the 20th century we imagined ourselves on the Internet

The Earth has been providing heat for millions of years and now Google wants it for something very different from heating

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The race for artificial intelligence is no longer fought only in laboratories or chip factories. It is moving towards much more basic and, at the same time, more critical terrain: electricity. At a time when data centers are increasing their energy consumption and the electrical grid is beginning to show signs of saturation, an American geothermal startup has just closed one of the largest financing rounds in the sector. It is called Fervo Energy, it has raised $462 million and, among its investors, is Google. It is not just another financial movement. It is a clear sign of where big technology companies are looking to sustain their ambitions with artificial intelligence. First commercial project. The company has closed this financing in a Series E – one of the last phases of private investment before a possible IPO – aimed not at research, but at the deployment of large-scale energy infrastructure. The round, led by B Capital as lead investor, will serve to accelerate the construction of Cape Station, its geothermal plant in Utah, and advance the development of other projects. In other words, moving from technology demonstration to commercial production of firm electricity for the grid. In addition, the round has aroused the interest of a broad group of industrial, financial and technological investors. Among the new names are AllianceBernstein, Mitsui, Mitsubishi Heavy Industries, Breakthrough Energy Ventures and, especially significantly, Google. As reported by TechCrunchFervo has raised nearly $500 million in equity and debt in the last year alone, reflecting an unusual investment appetite for a technology that for decades was considered marginal. The Google entry. Fervo is not just a climate bet or an impact investment: it is a direct energy supplier for data centers. The company already maintains an agreement with Google to supply geothermal electricity to its facilities, something that turns the technology company into a client and investor at the same time. This move fits with a broader trend. The big tech companies they have stopped trusting only in the traditional electricity market. The explosion of generative AI has multiplied the demand for continuous, stable and emission-free energy, a profile that neither solar nor wind power alone can guarantee without massive battery backup. On the other hand, geothermal energy offers firm electricity 24 hours a day. How does the Fervo bet work? Fervo’s key It’s in your technology of Enhanced Geothermal Systems (EGS). Unlike traditional geothermal energy – which depends on natural hot aquifers – Fervo drills hot rock, injects water and creates artificial reservoirs that allow steam to be generated in a controlled manner. A direct adaptation of hydraulic fracturing and directional drilling techniques developed over decades by the oil and gas industry. It is no coincidence: many Fervo engineers come from that sector. The flagship project is Cape Station, located in Beaver County, Utah. According to the company’s planswill begin supplying 100 megawatts in 2026 and will reach 500 megawatts in 2028. One of the key factors is speed, as the company has drastically reduced the drilling time for its wells: from about a month in its first projects to a current average of about 15 days. As Sarah Jewett, senior vice president of strategy, explained, to TechCrunchapproximately half of the cost of a well depends on drilling time. Reducing it is synonymous with economic viability. AI as the engine of the new energy map. The rise of Fervo cannot be understood without the pressure that artificial intelligence puts on energy infrastructure. According to the International Energy Agencythe electrical consumption of data centers could double before 2030. An analysis by the Rhodium Group goes further and estimates that advanced geothermal could cover up to two thirds of new energy demand of these centers in the United States. Google is not alone in this race. The company is simultaneously exploring the reopening of nuclear plantsthe development of small modular reactors (SMR) and even experimental projects as solar-powered orbiting data centers. The logic is the same in all cases: ensure its own, stable, long-term electricity supply. In the words of the CEO of FervoTim Latimer: “There is a huge appetite to understand how the history of electricity demand is going to be resolved.” The answer, increasingly, lies in energy sources that previously seemed secondary. A sector that matters again. For years, geothermal energy was relegated to wind and solar energy. Today, United States live a true renaissance of the sector. The combination of new technologies, private capital, institutional support and demand from Big Tech is changing the landscape. Fervo is considered a pioneer within this new ecosystem. According to TechCrunchthe company is focused for now on the western United States, where the hot rock is closer to the surface, but does not rule out expanding to other states or abroad when its technology is even more optimized. The subsoil as a competitive advantage. While artificial intelligence is presented as the most ethereal technology of our time, its expansion depends on something deeply physical: constant, cheap and clean megawatts. In this context, Fervo represents more than just an energy startup: one more—but key—piece in the new infrastructure that supports the digital age. Google didn’t get here by chance. He has been exploring all possible avenues for some time to ensure stable power for his AI. And in that strategy of not closing any doors, while some look to the sky, others – like Fervo – look underground, kilometers underground, where the planet’s heat is beginning to emerge as one of the most solid responses. Image | FervoEnergy and freepik Xataka | The United States may win the AI ​​race, but its problem is different: China is winning all the others

MediaMarkt allows you to get the latest Google Pixel at an unbeatable price and with interest-free financing

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Google has managed to sneak into the most desired mobile phones among those looking for a high-end terminal. Now, at MediaMarkt, they have a 15% discount code available for the Google Pixel 10 series. One of the models that is worth it is the Google Pixel 10 Prowhich you can take now 764.15 eurosapplying the code ‘MM15GOOGLEPIXEL‘. You will have to apply the code during the purchase process and you will see that the price of the mobile changes in the cart. It will go from costing 899 euros to 764.15 euros thanks to this MediaMarkt promotion. Plus, you can finance it up to 18 months without interestpaying a fee of 42.45 euros per month. Although this 15% discount applies to all models of the Google Pixel 10 series, keeping the two other alternatives at the following prices, entering the same code (‘MM15GOOGLEPIXEL‘): Google Pixel 10 by 594.15 euros: with 6.3-inch Actua OLED screen, Android 16, Google Tensor G5 and 128 GB. Google Pixel 10 Pro XL by 934.15 euros: with 6.8-inch Super Actua OLED screen, Android 16, Google Tensor G5, 16 GB of RAM and 256 GB. Google Pixel 10 Pro, 128GB The price could vary. We earn commission from these links A top mobile now at an unbeatable price There are many characteristics of this Google Pixel 10 Pro which make it one of the brand’s most interesting models in this promotion. Its screen is type 6.3 inch OLED and refresh rate of 120 Hz. Its brain is the Google Tensor G5 chip, which is accompanied by 16 GB RAM and 128 GB internal storage. Presents IP68 certification and works under Android 16 operating system. Plus, software updates are guaranteed for seven years. Another of its great assets is its photographic system, with a 50 MP main sensor, a 48 MP wide-angle lens and a 48M 5x telephotoQ. Regarding its battery, it supports wired charging at 30 W and wireless charging at 15 W. Finally, it should be noted that it has Wi-Fi 7Bluetooth 6, NFC and 5G. The best accessories for this Google mobile Google Pixel Watch 2 with Fitbit and Google The price could vary. We earn commission from these links Google Pixel Buds A-Series – Truly Wireless Earbuds The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Álex Alcolea (Xataka) and Google In Xataka | The best mobile phones, we have tested them and here are their analyzes In Xataka | The best quality-price mobiles. Their analyzes and videos are here

Google just changed the rules of the lightweight model

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Now, in the race to lead the development of artificial intelligence, something unusual has just happened. Gemini 3 FlashGoogle’s new model, has surpassed GPT-5.2 Extra High, the higher-reasoning variant of OpenAI, in several performance tests. And that forces us to rethink some of the rules that we took for granted. A fast model that also reasons. Google’s new model comes with a very specific promise: to demonstrate that “speed and scalability do not have to come at the expense of intelligence.” Although it has been designed with efficiency in mind, both in cost and speed, Google insists that Gemini 3 Flash also excels at reasoning tasks. According to the company, the model can adjust your thinking ability. It is able to “think” for longer when the use case requires it, but it also uses 30% fewer tokens on average than Gemini 2.5 Promeasured with typical traffic, to complete a wide variety of tasks with high precision and without penalizing response times. The truth is in the benchmarks. Are the benchmarks perfect? No. But they are still one of the most useful tools we have for comparing AI models.confront them against each other and detect in which scenarios they perform better or worse. And in this area, Gemini 3 Flash comes out well. In SimpleQA Verifieda test that measures reliability in knowledge questions, Gemini 3 Flash achieves 68.7% compared to 38.0% for GPT-5.2 Extra High. In multimodal reasoning, within MMMU-Pro, Google’s model scores 81.2% compared to OpenAI’s 79.5%. In Video-MMMU, Flash achieves 86.9% compared to 85.9% for GPT-5.2 Extra High. If we look at multilingual and cultural capabilities, Flash is again ahead, with 91.8% compared to 89.6% for GPT-5.2 Extra High. In Global PIQA, focused on common sense in 100 languages, the difference remains: 92.8% for Flash versus 91.2% for the OpenAI model. Everything indicates that Gemini 3 Flash is specially optimized to capture nuances outside of English and reason more fluently in global contexts. He also excels in the use of tools and agents. In Toolathlon, Flash scores 49.4% compared to GPT-5.2 Extra High’s 46.3%. In the FACTS Benchmark Suite, the difference is tighter, but still in favor of Google: 61.9% versus 61.4%. In long-term tool execution tasks, Flash appears to show greater consistency. But he is not the king of pure reasoning. Now, it is worth looking at the complete photo. Although Gemini 3 Flash outperforms the best OpenAI model in several tests, if you are looking for “pure” reasoning, the balance changes. In the most demanding tests in this area, GPT-5.2 Extra High continues to set the benchmark. OpenAI’s model leads ARC-AGI-2, focused on visual puzzles, with 52.9% compared to Flash’s 33.6%. In AIME 2025, with code execution, it reaches 100% compared to 99.7%. And in SWE-bench Verified, aimed at software engineering, it obtains 80.0% compared to 78.0% for Gemini 3 Flash. What exactly is GPT-5.2 Extra High. Throughout the article the name GPT-5.2 Extra High appears several times, and it is normal to wonder if it is something new or little known. In reality, it is not a model that is usually mentioned to the general public. Google uses this designation in its comparison table to refer to the maximum level of reasoning available in the OpenAI API for GPT-5.2 Thinking and Pro. In the official OpenAI documentation it is identified as “xhigh”. Where you can use Gemini 3 Flash. Access to Gemini 3 Flash is not country dependent. If you have access to the Gemini appyou are already using this model, which has become the default option. It is also reaching developers through the API, AI Studio and Vertex AI. In the United States, the deployment goes a step further, as the Gemini 3 Flash has become the default model of the AI Mode of the Google search engine. The price of using Gemini 3 Flash. For those who want to integrate Gemini 3 Flash into their applications, the model costs $0.50 per million input tokens and $3 per million output tokens. This is a slight increase over Gemini Flash 2.5, which was $0.30 per million tokens in and $2.50 per million tokens out. An increasingly tight race. Gone are the days when Google tried to confront ChatGPT with Bard, or when OpenAI seemed to be years ahead of the rest. Today, the distances between the big players in AI have been drastically reduced. The competition is more direct, more technical and, above all, much closer. Images | Google In Xataka | Amazon is preparing an investment of 10 billion in OpenAI because if you can’t beat your enemy, the best thing is to join him

what is repeated the most is nothing like Google searches

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During these three years of living with ChatGPTthere has been a certain feeling that the usual search engine is no longer essential. The chatbot responds in natural language, allows for questioning and, in many cases, saves time compared to a list of links. But that comfort does not necessarily imply that it is doing the same job as Google. Searching is not always about getting a closed answer: it is also about exploring sources, comparing and deciding for yourself what information to give credit to. To understand what is really changing, it is worth looking at how each tool is used and not just how they are talked about. Before moving on to the study, we can ask a specific question: when we open ChatGPT, are we searching for information in the classic sense or are we doing something else? The nuance matters because “searching,” as we have said, mixes very different actions. What studies say about the true relationship between ChatGPT and Google A paper from the National Bureau of Economic Research prepared with data provided by OpenAI is the starting point to land on this topic. It is built from messages sent to ChatGPT automatically classified to detect patterns without anyone reading the content. The objective is not to evaluate the quality of the responses, but to measure why we use the chat in practice and how that use changes over time. The first photo offered by the paper is clear and should be given with temporal precision. In June 2025, 73% of messages were considered non-work related, compared to 27% linked to work tasks. This distribution also changes with respect to previous stages that the study itself compares, and suggests that personal use is gaining weight over time. The data matters because it questions a widespread idea: that chat is above all a professional tool. When the analysis goes down to detail, the activity is concentrated in three large categories. Practical guidance: when we want to understand something, clarify concepts or see options more clearly. Information search: investigate specific facts, topics or questions (this is the section that is closest to the traditional web search pattern). Writing: includes everything from writing to structuring ideas and planning tasks. This translates to very recognizable gestures that do not depend on a list of results. We sometimes use ChatGPT to clarify ideas or ask for guidance. Other times we delegate work, from polishing an email to organizing a document or preparing a plan. And, to a lesser extent, it is also used as a space to think out loud and organize concerns. In all of those cases, the value is not in reaching a page, but in receiving a response tailored to the immediate context and in the form of usable output. That’s where the comparison with Google becomes more accurate. The search engine is designed to show a map of linksallowing us to explore sources and decide which ones to enter, with the cost of reading, comparing and synthesizing information scattered on the web. ChatGPT, on the other hand, concentrates some of that work on an answer and adjusts it to what we have asked, which shifts the effort from navigation to interpretation. This coexistence fits well with what describes Nielsen Norman Group in one of his studios. Their main conclusion is that search habits are surprisingly persistent and that we tend to start with what is familiar, even when we have already incorporated AI tools into other daily tasks. We often use it as a mental and practical shortcut to reach destinations we already know. Instead of typing “youtube.com” directly, we type “YouTube” into Google and from there we access the site. Under this scheme, the search engine continues to operate as a great gateway to the web ecosystem, rather than as a pure discovery engine. The result is neither a clean replacement nor an immediate replacement, but rather a more fragmented and functionally distributed ecosystem. We alternate between traditional search engines and chatbots depending on the moment and the taskand that redistributes the effort between finding information, understanding it, making decisions and producing content. Even so, it is advisable to handle these data with caution. The ecosystem is still moving and habits are still adjusting, so we should not read these results as definitive. On the other hand, Google has been incorporating layers of generative AI, since the summaries with AI until the so-called AI Mode. However, for now the link-based model continues to set the pace of the experience. And the service continues to be, furthermore, a dominant source of traffic for the webalthough its own AI integration is already starting to reduce the need to click in many cases. Images | Berke Citak | Firmbee.com | sarah b In Xataka | Microsoft has reduced its ambition with AI. It has been realized that almost no one uses Copilot, they say in The Information

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