The latest Google Pixel can be yours for just over 700 euros with this promotion that MediaMarkt has

If you have been thinking about buying a Google Pixel mobile for some time and you wanted it at the best price, that time has come. Now, in MediaMarktthey have a unique code (15MMGOOGLE) available until October 26 at 9 a.m. and that will allow you to take a company phone with a Extra 15% discount. One of the models that is worth it, during this MediaMarkt campaign, is the Google Pixel 10the firm’s latest release. It was already reduced to 849 euros in this store, but if you also apply the code, it remains available for 721.65 euros. The price could vary. We earn commission from these links The latest Pixel launched by Google at an unbeatable price The base model of the new generation of the brand is this Google Pixel 10ideal for those looking for a terminal of not very large dimensions. Its screen is 6.3 inches and offers a resolution of 2,424 x 1,080 pixels. In addition, it stands out for reaching 3,000 nits of peak brightness. His photographic system is one of his great photos and brings a very important novelty: a 10.8 MP telephoto camerain addition to a 48 MP main sensor and a 13 MP wide angle. Its battery supports fast charging at 30 W via cable and 15 W wirelessly. Furthermore, it is a mobile with IP68 certificationso it is resistant to dust and water. The power it has is due to the processor Google Tensor G5which in this model on offer is accompanied by 12 GB RAM and a 256 GB internal storage. In addition, this terminal works with pure Android and operating system updates are guaranteed for seven years. Other Pixel phones that may interest you with this MediaMarkt promotion This is not the only Google terminal that you can get at a good price thanks to this discount code that MediaMarkt has. If you are thinking of buying a Pixel mobile (or even a smartwatch), these are some of the other models that might interest you. Google Pixel 9 by 509.15 euros: 6.3 inches and with Google Tensor G4. Google Pixel 9 Pro by 679.15 euros– With 6.3-inch LTPO OLED display and AI. Google Pixel 9 Pro XL by 891.65 euros: with 6.8-inch screen and 512 GB. Google Pixel 10 Pro by 891.65 euros: 6.3 inches and with Android 16. Google Pixel 10 Pro XL by 1019.15 euros: with 6.8-inch screen and 256 GB. Google Pixel Watch 3 by 220.15 euros: with 1.61-inch AMOLED screen and WearOS. You may also be interested in these accessories for this Google Pixel OWKEY Magnetic Case for Google Pixel 10 and tempered glass The price could vary. We earn commission from these links Google Pixel Buds 2a – Wireless Earbuds with Active Noise Cancellation 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 | Webedia and Google In Xataka | Google Pixel 10 Vs Google Pixel 9. Which mobile phone to choose according to your tastes and needs In Xataka | The best quality-price mobiles. Their analyzes and videos are here

Google has solved problems in two hours that would take three years on a supercomputer. It’s the quantum advantage we needed

Google has taken a notable step into the field of quantum computing with a new algorithm called Quantom Echoes. This algorithm has been able to demonstrate for the first time a “practical and verifiable quantum advantage” that makes its quantum computer make fools of today’s large supercomputers. 13,000 times faster than a supercomputer. The new algorithm, called Quantum Echoes (“Quantum Echoes”), has made it possible to demonstrate that a quantum computer – based on Google’s Willow quantum chip— successfully executes a verifiable algorithm that exceeds the capacity of today’s large supercomputers. Thus, that computer managed to execute that algorithm 13,000 times faster than the best current classical supercomputer when executing similar code. “Quantum verifiability”. Google’s quantum supercomputer solved the problem in just over two hours, when in the second supercomputer most powerful in the world, Frontier, would have taken 3.2 years. But it also did it in a verifiable way: the result can be repeated in the quantum computer itself or in any other of similar caliber. Quantum echoes. The algorithm resembles an advanced echo: you send a signal to the quantum system, perturb a qubit, and then precisely reverse the evolution of the signal to “listen” to the resulting echo. This echo is special because it is amplified by constructive interference, a quantum phenomenon where waves add up to become stronger, which allows this effect to be precisely measured. The algorithm allows modeling the structure of systems in nature, from molecules to black holes. An achievement with a lot of Nobel Prize behind it. The milestone is based on decades of research in this area, including that carried out by the recent Nobel Prize winner, Michel H. Devoretwho is part of the Google team. Together with his colleagues John M. Martinis and John Clark he laid the foundations for this advance at the University of California at Berkeley in the mid-1980s. “Quantum verifiability”. Google’s quantum supercomputer solved the problem in just over two hours, when in the second supercomputer most powerful in the world, Frontier, would have taken 3.2 years. But it also did it in a verifiable way: the result can be repeated in the quantum computer itself or in any other of similar caliber. Quantum echoes. The algorithm resembles an advanced echo: you send a signal to the quantum system, perturb a qubit, and then precisely reverse the evolution of the signal to “listen” to the resulting echo. This echo is special because it is amplified by constructive interference, a quantum phenomenon where waves add up to become stronger, which allows this effect to be precisely measured. The algorithm allows modeling the structure of systems in nature, from molecules to black holes. An achievement with a lot of Nobel Prize behind it. The milestone is based on decades of research in this area, including that carried out by the recent Nobel Prize winner, Michel H. Devoretwho is part of the Google team. Together with his colleagues John M. Martinis and John Clark he laid the foundations for this advance at the University of California at Berkeley in the mid-1980s. Hello qubit. His discovery: the properties of quantum mechanics could also be observed in electrical circuits large enough to be seen with the naked eye. That gave rise to the creation of superconducting qubitswhich are the basic blocks with which Google has created (like other companies) its quantum computers. Devoret joined Google in 2023, thus strengthening the company’s trajectory in its search for the now famous “quantum supremacy”. Promising practical applications. The advance is directed directly to the solution of important problems in fields such as medicine or materials science. Quantum computing remains an experimental technology and faces a key challenge with error correction, but Quantum Echoes demonstrates that “quantum software” is advancing at a pace parallel to hardware. Google applied Quantum Echoes to a proof of concept experiment for Nuclear Magnetic Resonance. This technique acts as a “molecular microscope”, a powerful tool that will help design drugs or, for example, establish the molecular structure of new polymers. a marathon. This new milestone demonstrates the progress that this technology has made in recent years, but Google is not alone here. Microsoft or IBM have also made notable advances in recent years, and of course there are numerous startups both in the US like in china who work in this area. In Xataka | Decoherence is the biggest problem with quantum computers. This superconductor wants to end it

Google has a lot to worry about

OpenAI does not stop launching new products. After the virality of the Sora 2 videosa few hours ago they announced Atlas, the new browser with integrated ChatGPT that wants to change the way we navigate and represents a great threat to Google’s monopoly. I have been testing Atlas with the free version from ChatGPT and these are my impressions. Goodbye Google, hello ChatGPT The AI ​​is changing the way we browse the internet and Atlas is the most forceful step in this direction. As soon as you open the browser there is no trace of Google or a search engine, ChatGPT only. We can Google it, but it’s a bit hidden. If, for example, we type “best movies”, we will see that a lot of suggestions appear to complete our search and At the bottom the option to search with Google. We can also type or paste a URL and the specific website will open, but the search takes center stage entirely from ChatGPT. OpenAI doesn’t want you to search like you did until now, you want each tab to be a prompt to open the corresponding conversation with ChatGPT. Let’s see what he’s capable of. Ask ChatGPT One of the star functions is that, while we browse other pages, ChatGPT is always available from the button in the upper right corner. Pressing it opens a sidebar where we can consult details of the page we are visiting, such as giving us a summary or helping us better understand a concept. Helping me know if the router will be compatible with the ones I already have. This button is especially useful, for example, if we are making purchases. We can ask for specific details of a product and ChatGPT will give us the answer, understanding the context. For example, I want to buy an additional router to add to my mesh system, but I am not sure if this model will be compatible. No problem, I ask ChatGPT without even having to leave the page. Sambas run small and ChatGPT knows it. We can also ask other types of questions, such as whether a pair of shoes fits small and much more. On the website I was consulting there were no shoes in the size that ChatGPT was recommending, so I asked him to find that size for me in other stores. He did, although the first time he suggested different models of Adidas Samba that were not that color. I had to specify that I wanted the “Black Green Leopard” model. He found them cheaper for me. It is a good support when organizing a trip. Another use case is preparing a trip. Although agent mode can help us book hotels and search for flights, it is only available in the Plus version. With the free version we can also take advantage of ChatGPT’s capabilities when searching for trips. In my case, I have been looking at accommodation in Andorra for the December long weekend, but in view of the prices and low availability, I asked him to find other destinations that were close to Valencia by car. You can also ask them things like what places to visit or restaurants near the accommodation. Memory and tab management The ‘Ask ChatGPT’ button is fine, but beyond the fact that we have it more at hand, it is not far from what ChatGPT already does by itself. The really interesting thing is that the browser has memory, so we can go back to previous tabs just using natural text. No more browsing through history looking for that website we visited and whose name we don’t remember. Very useful for revisiting pages. In the case of the sneakers, I didn’t even need to remember what the specific model was called, just by telling him that they were leopard he understood it. If you don’t give it enough information, it will ask you for more references such as the date you saw it or if you remember any images. I have tested it with more complicated examples, being less specific, and there have been a couple in which it has not been able to locate the page I asked for, but in general it works very well. I can finally close tabs without worrying about having to dig around to find them. Perhaps the most useful use I have found for this memory is that we can ask it to open the tabs that we visited when we were doing research on a specific topic. I had to tell him twice, but I managed to get him to open all the websites he was visiting to prepare an article. It can also be useful if, for example, you were looking for computers a couple of weeks ago and you want to review all the models you consulted again. Another practical use if you have digital Diogenes like me, is to ask it to “clean” the tabs you have open. I usually open a lot of tabs while I work and leave them there “just in case.” In the end I end up having dozens of tabs open, many of them unrelated to what I’m doing at that moment. Writing these lines, I have asked him to close all the tabs that were not being useful to me at the moment. The result is that I have gone from almost twenty eyelashes to only six. The RAM memory of my computer has thanked it. Of course, I have had some difficulties with this function and on several occasions it has gotten stuck or told me that it had closed the tabs when in reality they were still open. Yeah AI hallucinatesit is evident that browsers with AI are going to do it too. And my privacy? Default, ChatGPT sees everything we do in the browser. It’s great to summarize a page or clarify a concept, but perhaps we don’t want you to see sensitive content such as our password manager or our … Read more

ChatGPT Atlas is here. It’s the biggest nightmare in the history of Google

OpenAI has launched Atlas, your first browserand Alphabet has seen $150 billion in market capitalization evaporate in a matter of hours. Shares fell 4.8% shortly after the announcement, recovering slightly to close down 2.4%. The market reaction was no coincidence: Atlas is not (just) Chrome with a chatbot stuck on top, it is a browser designed from scratch around ChatGPT. Why is it important. For two decades, Google has controlled how we access the Internet through a lethal combination: Chrome as a gateway and Google Search as a mandatory destination. Atlas breaks that logic. If your browser has an AI assistant with memory that remembers your preferences, performs complex tasks for you, and directly answers your questions, the traditional search bar no longer makes sense. It is therefore not an incremental improvement, but rather a paradigm shift in the way we navigate. In detail. Atlas eliminates the address bar as the nerve center of the browser and replaces it with ChatGPT. Users can open a side panel in any window to summarize content, compare products, or analyze data without switching tabs. But the star functionality is the “agent mode“, currently reserved for paying subscribers: ChatGPT literally takes control of the mouse and keyboard, surf the web on your behalf, fill out forms, research travel options, add ingredients to the shopping cart. In yesterday’s demo, an OpenAI developer showed how the agent found a recipe and automatically purchased all the ingredients, a process that took several minutes but required no human intervention. “Browser memory” is another key piece. Atlas can remember what you’ve searched for before, what sites you’ve visited, and what projects you have in hand, using that data to suggest actions or automate routines it detects in your behavior. Everything is optional, but the message is clear: OpenAI wants Atlas to know you better than you know yourself. Nothing new with AI. The figures. OpenAI has 800 million weekly active ChatGPT users, double the number in February. Chrome has 3 billion and 71.9% global share. Google controls 90% of the search advertising market. Atlas sounds like a prelude to advertising coming to ChatGPT. Somehow they have to monetize the free users, who not only don’t pay OpenAI, but cost them money. And if OpenAI enters advertising, Google has the most to lose: it could be revenue that stops coming to them. Yes, but. Initial tests of ChatGPT agents have shown slow and imprecise results, where it is very effective to see the browser do tasks for us, but also much slower than if we take care of a few clicks. Plus, the hallucinations are still there. Google has a structural problem– Your business depends on people clicking on ads. If Atlas delivers direct answers without visiting web pages, Google loses. It has integrated Gemini into Chrome and added AI summaries to the results, but the basis of its model remains the same. Internet Explorer seemed invincible in 2007. Within five years, Chrome had surpassed it by offering something substantially better. The 150 billion drop in Alphabet’s capitalization is a sign that investors believe there is a chance that history could repeat itself. In Xataka | Privacy is dying since ChatGPT arrived. Now our obsession is for AI to know us as best as possible Featured image | Xataka with Mockuuups Studio

achieve the same thing that Google achieved with Android

In two years, Alibaba has gone from e-commerce giant in regulatory crisis a global powerhouse in open source AI. Its family of Qwen models has accumulated 400 million downloads and 140,000 derived models arising from it, figures that surpass any Western competitor, except one: Llama, from Meta. Why is it important. Eddie Wu, CEO of Alibaba, has openly said that Qwen aspires to be “the Android of the AI ​​era.” It’s not marketing: the company has released 357 models in less than two years, a pace that neither OpenAI nor Google maintain nor want to maintain in their public version. The strategy copies Google’s manual with Android: giving away the operating system to dominate the infrastructure that supports it. Only this time the dominant player doesn’t come from Silicon Valley. The context: Alibaba poured more than $800 million into the country’s top four AI startups —Moonshot, Baichuan, Zhipu, MiniMax— before realizing its own technology could lead the market. Now those investments have stopped because the bet is on home. The road has been brutal. Between 2020 and 2022, Alibaba lost half of its stock market value due to the Chinese government’s regulatory offensive. DAMO Academy, its research arm, fired 30% of his staff. Some key scientists such as Yang Hongxiacreator of M6; either Zhou Changtechnical leader of Qwen, left for other companies such as ByteDance. The brain drain left a crater. Even so, Alibaba has managed to get back on its feet. The unexpected turn. In January 2025, DeepSeek launched R1an open source reasoning model that rivaled the o1 by OpenAI then. It had rapid and global adoption, and Alibaba seemed to lose steam. Joe Tsai, president of Alibaba, admitted the hit: “We said, ‘How is it possible that they got ahead of us?’” The response was drastic. On the first day of the Chinese New Year—a sacred holiday in China—the AI ​​team canceled his vacation and launched Qwen 2.5 Maxsurpassing DeepSeek V3. The war was not over. In figures. Alibaba has promised to invest 380 billion yuan ($53 billion) over three years in AI and cloud infrastructure. It’s more than it spent in the entire previous decade. In the second quarter of 2025, AI-related revenue grew by triple digits for the seventh consecutive quarter. Alibaba Cloud increased sales 26% year-on-year. The stock is up more than 90% so far this year. a rocket. The strategy. Free models generate demand for GPUs and training. That demand is monetized on Alibaba Cloud. It is the Microsoft-OpenAI model for Azurebut here Alibaba is an investor and beneficiary. Unlike Amazon (without competitive open source models), Google (closed models) or Meta (without its own cloud), Alibaba unites open model, cloud and developer ecosystem. And it’s already the fourth world in cloud behind the Amazon-Microsoft-Google trident. Of course, Alibaba opted for the wrong architecture while OpenAI scaled with GPT. When ChatGPT took off in December 2022, it had to admit the mistake. In August 2023 he opened the Qwen code just as Llama 2 crashed in Chinese. He filled that space immediately. In February 2025, Apple chose Alibaba as a partner for Apple Intelligence in China. Beastly validation of the then most valuable company in the world. Months later, Wu detailed the roadmap: expand the context, from 1 million to 100 million tokensand scale from one billion to ten billion parameters. Quantifiable bets with assigned budget. ByteDance is the only rival that keeps the pulse. Missing. The western market. Qwen dominates Asia but has not penetrated Europe or America like Llama has (and it is not like it has swept mobile phones like Android). Besides… The big question. Can a Chinese company that has endured regulatory purges and talent drains become the global standard for open source AI? What remains to be seen is whether the West agrees to rely on an AI operating system designed in Hangzhou. In Xataka | ‘World models’ aim to be the next great revolution in AI: this is what robotics needs to look like movies Featured image | Xataka

Google launches its AI mode in Spain and with it, a new way of searching on the web: this is how you can activate it

Google has begun to roll out its AI Mode in Spain, an update that transforms the traditional way of searching for information on the Internet. Once we have access to this mode, we can make all types of queries through natural language and the search engine will offer us complex and elaborate answers on any topic through its AI. The operation is similar to the summaries that Google already offers when we make a query, only this mode transfers that entire experience to your search engine. We tell you all the details. What exactly is AI Mode. This is the most advanced search experience Google has launched to date, powered by its Gemini models. Just like explains the company in its press release, appears as a new button on the results page and in the apps for Android and iOS. Unlike traditional search that displays a list of links, AI Mode generates direct and detailed answers to queries, although for now it remains optional, as the user must press the button to activate it. To test it, you can use this linkalthough you may not have it enabled yet and may have to wait a while. Why the way you search changes. According to Google, this tool is designed for exploratory questions without a single, direct answer. In the United States, where it was launched in March (and by then we were able to try it), Google claims that users ask questions two or three times longer than in conventional searches. The company gives the example of doing the following search: “I want to understand the different methods of brewing coffee. Make a table comparing the differences in flavor, ease of use, and equipment needed.” Once the answer is obtained, we can continue the conversation, such as: “What is the ideal grain thickness for each method?” In this way, the system maintains the context of the conversation and allows you to delve deeper as you go. The operation is very similar to what many AI models already offer, such as ChatGPT internet search or dedicated AI search engines like Perplexity. This is the answer to all those tools of a Google that refuses to lose the leadership of what it was known for. How it works inside. As the company claims, AI Mode uses a query decomposition technique: it divides the question into several subtopics and launches multiple simultaneous searches on the web. This, according to Google, allows you to access more specialized and relevant content than with a traditional search. The results are presented with small buttons at the end of each paragraph that link to the web pages used to generate the answer. In our tests a few months ago we were already able explore in detail the operation of this system, a search mode that was inevitable to see given the proliferation of more and more tools with generative AI technology. The results were quite promising and the system offered a great level of richness in its responses. AI Mode is an instant way to get complex answers while the system crawls the entire web to deliver them to you. Multimodality as an advantage. One of the notable features is that it supports different input formats: text, voice and images. Users can, for example, take a photo of a menu with their mobile phone and ask about anything, or use the microphone for voice queries. This versatility is typical of models such as Geminisince from its dedicated app we can also opt for this type of responses through all types of inputs. The real novelty here is that the experience that Gemini gives us is transferred to Google’s main website, something that represents how committed the company is to offering AI experiences to its users. The global deployment. The launch includes 36 new languages, including Spanish, and nearly 50 new countries and territories, reaching more than 200 in total. Its arrival in Europe is especially significant, since Regulation around AI is much stricter than in the United States. The good news is that the service is free and will be progressively activated for all Spanish users in the coming days. An inevitable debate. This launch is not without controversy. Some media outlets in countries where it is already available have reported traffic drops of between 20% and 60%. The falls too have been important even with the arrival of Google’s AI summaries. And if the AI ​​directly answers the user’s question, why visit the original website? Obviously, from Xataka we will tell you that nothing has more value than what is processed, thought and written by a human. However, Google argues that clicks from AI Mode are of higher quality because “users then spend more time on the pages they visit”, although the truth is that it is not a very hopeful answer for media that depend on a certain volume of visits to generate income. The company has also not yet proposed financial compensation for the pages it uses as a source of its responses. What’s coming now? Google assures that it will continue improving the system, recognizing that “we will not always get it right” as it is an AI product in its initial phase. Now we just need to know the reaction of the global public and know if this really is the definitive way to search on the web. We will also be aware of the impact this has on traffic, which has already left its mark since its initial test in March. In Xataka | OpenAI is the King Midas of the stock market: everything it touches skyrockets

Amazon new do not compete against Google Home. Compete against indifference

A decade ago, Alexa was the future. Today, when we talk about conversational and chatbots, we mentioned ChatgptClaude, Grok or Gemini. Traditional voice assistants (I also look at you, Siri) have become something that simply exists, such as microwave: limitedly useful, but forgotten, cornered. Amazon has just presented four new echo devices: Echo Dot Max with serious three times more powerful. Echo Studio redesigned. Echo Show 8 and 11 with screens of more than one million pixels and 13 MP cameras. Yes, but. The improvements are real and measurable. The problem is that many fewer people are paying attention to ten years ago. Alexa has gone from being a revolutionary promise to a kitchen stopwatch with voice and music. We ask songs, we put alarms, little more. The narrative was exhausted. The context. The voice assistant industry It has been stagnant for years in the same basic functionalities. Meanwhile, Chatgpt has demonstrated what a real conversational means: maintain context, reason, surprise. Users already know that there is something better, even if they don’t have it in their living room. Amazon promises that these devices “feel the bases” to Alexa+its assistant with generative. In Spain there is still no arrival date for those advanced functions. It is the usual promise: Wait, the best is yet to come. The big question. Can an improved spherical speaker change habits that we carry dragging a decade? The factor in form is the same. The activation gesture, identical. The user’s expectation about what Alexa does. Between the lines. Amazon does not need only more powerful or microphones chips that better detect the activation word. We need to stop seeing Alexa as another appliance and imagine it again as something that can change how we live. That is not fixed with deeper serious. The battle is no longer against Google Home or Siri. It is against the indifference of users who learned years ago what they can expect from a voice assistant and stopped waiting for more. Amazon has the hardware. He lacks the reason for us. In Xataka | The announcement of the new Alexa hides an awkward truth: the silent sunset of the Solo-Voz interface Outstanding image | Xataka

YouTube can end up becoming something more important for Google than your search engine

The race to dominate the AI It has many legs And, one of them is undoubtedly developing The perfect search engine. There is also a clear intention of several technological giants by Destrone Google in one of your most prolific businesses. However, Google is not passed without doing anything while the AI ​​career advances by leaps and bounds. In fact, it has an ace in the sleeve that perhaps few have seen coming: YouTube. And it is that the video platform could become the most powerful weapon of the company to continue growing in AI. The searches conquer. Google knows that artificial intelligence can be an existential threat to its search engine, the main source of income of the company for decades. That’s why he has been vitaminating Gemini and joining his abilities to Search through summaries with Ai overViews either The full search engine with AI that the company plans to launch soon worldwide. Meanwhile, chatgpt and other language models eat the toast with very useful capabilities for users, such as being able to answer user questions directly While searches are made On the Internet without clicking links or advertising. A perfect shield. However, YouTube works radically differently, since here the AI ​​is not a threat, but A competitive advantage. And while the search engine must deal with chatbots from other companies, YouTube can use AI in its favor to generate more content, improve its recommendations algorithm and, above all, multiply their monetization opportunities. All this knowing that it is a platform without any serious rival to date. Video against text. Analyst Ben Thompson, from the specialized media Stratechery, Point out That video is an inherently more monetizable format than the text, and the recent history of social networks demonstrates it. Twitter, Facebook and Instagram began as text and photos, but they have all ended up focusing on the video because it is what really hooks most users. Tiktok understood from the beginning: The most addictive content does not come from your contact network, but from an algorithm that shows you the most entertaining videos, wherever they come from. And YouTube has been doing exactly for almost two decades. Numbers that speak for themselves. YouTube It is the most watched streaming service on televisionsahead of Netflix. It is the dominant mobile application and computer for video consumption. And, above all, he has paid More than 100,000 million dollars to creators in the last four years. That figure does not even include the income that creators obtain for collaborations with brands, which usually overcome what they earn by advertising. YouTube is no longer just a platform, but an entire economy AI as an accelerator, not as a threat. Google is integrating the technology of its Deepmind division directly on YouTube, and the results are promising. The platform He has just announced tools based on I see 3its video generation model, which allow any user to create clips for YouTube Shorts from the mobile and for free. The result? A content tsunami generated by AI That, although mostly it will be irrelevant, annoying and ends up subtracting authenticity from the platform, it will also generate more videos in less time and, in large part, their tools can be used so that creators use them to generate really good videos. And YouTube already has its own algorithm to separate the grain from the straw. Each element of a video is a business opportunity. But Google’s master play with AI on YouTube has nothing to do with creating videos, but by monetizing them. The company has started trying A system that uses artificial intelligence to automatically identify products that appear in the videos and label them at the exact moment in which they are mentioned or shown. “Each element of each YouTube video is on its way to becoming a monetizable surface,” assures Thompson. Imagine to see a video of home reforms and be able to buy with a single click any tool that appears, even if it is in the background. It is the humid dream of every marketing giant. An invisible giant. Sometimes we forget YouTube. In fact, many analysts, including Thompson, who even He recognizes itThey have underestimated the platform for years. Most people prefer to consume entertainment in video and YouTube format have always been there, growing unstoppable and sometimes even invisible. The finish line, applied by Google. Thompson already He warned months ago about the potential of the AI ​​to convert each content pixel into advertising inventory, but then thought of a goal. The irony is that Google, who arrived late by offering the mass public tools of generative after Bard’s disastrous launchit is now who has arrived first with this technology. As assures Thompson, goal must still develop the necessary models and infrastructure; Google already has them working. Cover image | Google and Collabstr In Xataka | The MIT has studied the impact of AI on companies. Its conclusion: only 5% of the time changes some really

Google Pixel 10 with cover and headphones at unbeatable price

He Google Pixel 10 It was launched just a few months ago. It is one of the most top phones of the moment, so if you had thought about buying it, this Amazon offer will interest you. Now, you can take the smartphone, along with the sheath Pixelsnap and headphones Buds-a seriess, by 999 euros. Google Pixel 10 256GB + Pixelsnap + Pixel Buds a-series case The price could vary. We obtain commission for these links A perfect pack if you were thinking about buying the new Google Pixel 10 You can buy the Google Pixel 10 In this Amazon offer in four different colors (Lima green, glacier, indigo and obsidian). This terminal has a 6.3 -inch OLED screen and reaches a maximum brightness of 3,000 nits. Your brain is the Google Tensioner G5 processor and its battery admits fast charge at 30 W by cable already 15 w wirelessly. As for its photographic system, it is formed by a Triple rear camera of 48+14+10.8 MP. The Pixelsnap technology It is one of its main innovations. This is similar to Apple Magsafe (but from Google) and allows you to connect some accessories in a magnetic and wireless way. So you can take advantage of this technology, the pack comes with a pixelsnap cover. On the other hand, the wireless headphones that come in the pack are the Buds-a series. They are intraauricular type and offer good ergonomics and support. They have IPX4 certification and use the connection protocol Bluetooth 5.0 and have Google Fast Pair. Other Google Pixel mobiles that may interest you The price could vary. We obtain commission for these links Google Pixel 9 with USB-C charger of 45 W, 128GB The price could vary. We obtain commission for these links Some of the links of this article are affiliated and can report a benefit to Xataka. In case of non -availability, offers may vary. Images | Pepu Ricca (Xataka) and Google In Xataka | The best mobiles, we have tried them and here are their analysis In Xataka | Google Pixel 10 vs Google Pixel 9. What a mobile to choose according to your tastes and needs

But those who are making it more likely are neither Google nor Microsoft

OpenAI has announced The construction of five new data centers in the United States as part of Project Stargate. These facilities will be developed in collaboration with Oracle and Softbank, and will have a joint power of 7 GW, more or less the equivalent of what would generate seven large nuclear reactors. Why is it important. We had just believed that The announcement of the colossal project It was really to crystallize, but eight months later this announcement confirms that there are certainly solid plans to try to carry it forward. It seemed not easy for the gigantic financing of $ 500,000 million in the next four years, but the pieces seem OpenAi ad. Oracle as the main partner. Three of the new facilities will be developed in Oracle collaboration. They will be created by Shakelford County in Texas, in Doña Ana County in New Mexico, and in a third location still to be determined in the mid-west. The announcement is precisely the confirmation of the Agreement announced Between both companies in July. In this agreement there was talk of how both companies were going to create data centers with a joint capacity of 4.5 GW in addition to that both are already building in Abilene. In 2026 the first will be ready. The most important data center of this collaboration is that it is already under construction in Abilene (Texas), which will be owned by Oracle and will have OpenAi as the main client. The project is being managed by the startup Crusoe, and It is expected that is completed in mid -2026. It will consist of eight large buildings, each with a capacity of 100 MW. One of those buildings is already completed and in total the center will consist with more than 400,000 GPUS and will have a joint capacity of 1.4 GW according to sources close to the project. Is it better than not missing? Jonathan Koomey, a professor at the University of Berkeley in California, has studied the efficiency of data centers for years. In his opinionthese gigantic investments may not be enough to guarantee Openai’s success, especially when Depseek showed that much more efficient and affordable models can be valid alternatives. For Koomey, Openai’s bet – scarce big – may not go well, and will have to be fulfilled that the demand for computing that Altman foresees and his own is fulfilled. Dizzy figures. If Openai manages to execute this project, it will cease to be a mere research laboratory to become a reference in the field of infrastructure, competing with traditional giants such as Amazon Web Services or Microsoft Azure. That only the Abilene data center has a capacity of 1.4 GW is extraordinary, especially when Denmark’s average consumption was 4.38 GW (38.4 twh divided by the number of hours of the year, 8,760). This is: the OpenAI Data Center consumes almost a third of the average total electricity consumption throughout Denmark for 2024. THE OTHER BIG TECH. The really surprising thing about this project is that traditional Big Tech are not involved in it, but companies that seem to ambition to enter that group … or create a new elite. So, Stargate is, above all, a slogan. Although initially it was assumed that Stargate would be a new company, now managers close to the project indicate which is rather a kind of “umbrellas” under which all OpenAi data centers projects are encompassed, except those developed in collaboration with Microsoft. There is still uncertainty. Despite this announcement, the challenges facing the project are still colossal. The chip supply chain, the development of energy solutions and cooling systems is fragile, and remains to be seen 1) if those data centers will be completed and enter into operation, and 2) if they will really be necessary. Sam Altman is especially obsessed with that idea, and In a recent post on your blog He talked about how the use of AI services will grow even more spectacularly in the coming months. In Xataka | Great door or nursing: “circular financing” between Nvidia and OpenAi can be the genius of the century … or the collapse

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