Google

Google has OpenAI cornered. Altman has reasons to go into crisis mode

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Sam Altman has pressed the red button on OpenAI. After three years of being the startup that terrorized Google, it is now Pichai’s company that has the creator of ChatGPT on the ropes. Why is it important. OpenAI’s CEO sent an internal memo on Monday declaring “code red”: all resources are focused on improving ChatGPT. Projects like advertising in the free versionAI agents for health and purchasing or the deployment of the personal assistant Press are postponed. The company that forced Google to react is now the one that reacts. The backdrop. In 2022, Google panicked when ChatGPT changed our expectations about generative AI. Three years later, the roles have been reversed. Gemini 3, launched a few weeks ago, has surpassed OpenAI models in benchmarks key and in general it has arrived with a great reception. Marc Benioff, CEO of Salesforce, he said it bluntly a few days ago: “I’ve been using ChatGPT every day for three years. After two hours with Gemini 3, I won’t go back.” The figures. Google has gone from 450 million monthly active users on Gemini in July to 650 million in October. ChatGPT maintains leadership with more than 800 million weekly usersbut the speed at which Google is advancing is what has set off all the alarms. The difference in spending capacity is abysmal: Google brought in $102 billion in just the last quarterwith three quarters coming from advertising. OpenAI projects to reach 20 billion revenues this year, but will need 200 billion by 2030 to be profitable according to their own projections. Its infrastructure commitments add up 1.4 trillion dollars in the next eight years. The money trail. Google can afford to spend between $91 billion and $93 billion this year on AI infrastructure because it has a high-margin cash machine behind it. OpenAI, on the other hand, continues to rely on funding rounds while racking up record losses. Yes, but. OpenAI still retains advantages. Its 800 million weekly users represent a moat that can only be conquered person by person. ChatGPT is today synonymous with conversational AI in the same way that Google is with search. Changing the habits of hundreds of millions of users is much more difficult than convincing a few CEOs to switch chip suppliers. Between the lines. OpenAI’s refusal to monetize ChatGPT through advertising is increasingly inexplicable. Google dominated search precisely because it understood that an advertising model not only generates revenue: it improves the product. More users generate more feedbackmore purchasing signals allow for more personalized responses, and margins improve as scale grows. OpenAI has been avoiding this evidence for three years, but it has not stopped signing spending commitments exceeding one trillion. Unexpected twist. three years ago It was Google who declared code red in the face of the ChatGPT threat. The empire now counterattacks with an overwhelming structural advantage: control of distribution (Android, Chrome, Search, YouTube, Docs…), comfortable financial capacity and its own chips. OpenAI has users, but Google has the money, infrastructure and patience to fight a war of attrition. At stake. The question is whether OpenAI will survive as an independent company when its technological advantages evaporate and its business model continues to fail. Altman He usually says that he doesn’t like to think too much about the competition.. Those days are over. In Xataka | NVIDIA is the most valuable company in the world because it had no competition. Until Google started making chips Featured image | Google, OpenAI

MediaMarkt has all these Google Pixel phones at a very discounted price starting at 339 euros

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Although MediaMarkt already has its own outlet on the main website, local stores also post many deals on the outlet they have through eBay. These devices come with a MediaMarkt warranty and are mostly refurbished. This time we can find quite a few Google phones on offerso in this article we are going to review the five most interesting bargains. Google Pixel 9a by 339.15 eurosa very interesting mobile if we are looking for a cheap phone that takes good photos. Google Pixel 8 by 399 eurosa mobile that will be updated for a few years. Google Pixel 9 by 509.15 eurosan interesting option considering that it comes with 256 GB. Google Pixel 10 Pro by 976.65 eurosan alternative to the previous mobile with better specifications and more internal storage. Google Pixel 10 Pro XL by 996.75 eurosa phone similar to the previous one but with a larger size. Google Pixel 9a One of the most attractive offers for its price is the Google Pixel 9aan economical mobile phone that, for 339.15 eurosoffers a good photographic result. This is an exhibition device previously used which may present superficial deterioration, but which works perfectly. Among its specifications, we find that it is a compact phone 6.3 inches which offers a refresh rate of 120 Hz, its processor is the Google Tensor G4 and it comes with 128 GB of storage. The price could vary. We earn commission from these links Google Pixel 8 The good thing about Google mobile phones is that many of them will be updated for many years, as is the case with the Google Pixel 8 which is currently discounted by 399 euros and that it will be updated until 2030. It is an exhibition, it is used and may show superficial deterioration, but it works perfectly. The most notable thing is its set of camerasbut also its design and its compact 6.2-inch format. Of course, Back Market has it even cheaper, since it can be found for a price of 310 euros. The price could vary. We earn commission from these links Google Pixel 9 If what we are looking for is a more recent generation, the Google Pixel 9 256 GB is on sale for 509.15 euros and it is also an exhibition, it is used and may show superficial deterioration, but it works perfectly. In this case we are talking about a telephone with a excellent multimedia section which also stands out for its set of cameras and artificial intelligence functions. The price could vary. We earn commission from these links Google Pixel 10 Pro If we refer to the current generation, one of the most attractive proposals is found with the Google Pixel 10 Pro that, for 976.65 euroscomes with 512 GB. It is also a used display device that may show superficial wear but is in perfect working order. In this case, we are looking at a phone with an excellent design whose cameras are perfect for everyday use. Besides, It has a very interesting 100x. Google Pixel 10 pro (512GB) The price could vary. We earn commission from these links Google Pixel 10 Pro XL And if we talk about the brand’s top mobile phone, the Google Pixel 10 Pro XL It is also on sale at the MediaMarkt outlet for 996.75 euros in its 512 GB configuration. It is a display device that is used and may show superficial deterioration, but it works perfectly. It is a model similar to the previous one, but with a larger screen, a larger battery capacity and better fast charging. Google Pixel 10 Pro XL (512GB) 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 | MediaMarkt and Compradicción (header), Google In Xataka | The best mobile phones (2025), we have tested them and here are their analyzes In Xataka | The best quality-price mobile phones (2025). Their analyzes and videos are here

To the question of what sense it makes to compete with Google, OpenAI or Anthropic in AI, Mistral has an answer: small and local models

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French startup Mistral AI Mistral 3 has been launcheda family of 10 open source artificial intelligence models that represent its most ambitious commitment to date. The Parisian company, which is often considered the main European hope in the development of AI, seeks to differentiate itself from the large American technology companies by betting on flexibility and deployment in all types of devices instead of raw power. Under these lines we tell you all the news. What Mistral has presented. The Mistral 3 family includes a flagship model called Mistral Large 3, with 675 billion parameters, and nine compact models grouped under the name Ministral 3 (in three sizes: 14,000, 8,000 and 3 billion parameters). All models are released under Apache 2.0 license, allowing unrestricted commercial use. The large model also has multimodal capacity, being able to process text and images. It is also multilingual, with a special emphasis on European languages. On the other hand, small models can run on devices with just 4 GB of memory, making them perfect for modest laptops, mobile phones and embedded systems without the need for an internet connection. Why strategy matters. While OpenAI, Google and Anthropic focus on increasingly powerful and closed systems with agentic capabilitiesMistral has focused on the breadth and scope of its models, efficiency and what its co-founder Guillaume Lample calls “distributed intelligence.” According to declared told VentureBeat, the company believes the future of AI is defined not by scale, but by ubiquity: models small enough to run in drones, vehicles, robots and consumer devices. The economic and practical argument. Lample explained It means that in more than 90% of cases, a small, specifically tuned model can get the job done, especially if it is trained with synthetic data for specific tasks. According to Lample, this is not only cheaper and faster, but it eliminates concerns about privacy, latency and reliability. The company also has teams that work directly with customers to analyze specific problems and fine-tune small models that perform specific tasks. This, above all, can attract companies that become frustrated when choosing the best possible model for a specific task and, if it does not perform adequately, they end up giving up. Europe is lagging behind. If we talk about innovation and technology around AI, we do not hesitate to say that Europe is leagues away of what companies in the United States and China are offering. This is why Mistral AI advocates a different approach in which it prioritizes massive deployment in devices and the flexibility of its smaller models. The capacity offered by open models can be a great asset to continue betting on these technologies. In China, for example, the open models of DeepSeek, Alibaba or Kimi are emerging widelyabove in certain tasks even competitors as large as ChatGPT. Lample explained that most leading Chinese models are exclusively text-based, with separate image processing systems. For this reason, they also want to opt for a multimodal approach. A complete ecosystem. Mistral no longer only offers language models. The company has built an entire ecosystem that includes Mistral Agents APIwith connectors for code execution, web search and image generation; Masterlyyour reasoning model; Mistral Code for programming assistance; and AI Studioan application deployment platform that also has analytical and logging capabilities. Furthermore, his assistant Le Chat It has incorporated a deep research mode, voice capabilities and a list of more than 20 enterprise integrations. Thus, in addition to its model offering, the company can provide other companies with a whole layer of personalized products and services, with the aim of being their main source of financing. Digital sovereignty. Although Mistral is often characterized as Europe’s answer to OpenAI, the company prefers to consider itself as ‘a transatlantic collaboration’. Its CEO, in fact, is in the United States, has teams on both continents and trains these models in collaboration with American teams and infrastructure. However, its positioning as a defender of European digital sovereignty has earned it strategic partnerships with the French army, the country’s employment agency, the Luxembourg government and various European public organizations. The European Commission presented in October a strategy to promote European AI tools that provide security and resilience while boosting the continent’s industrial competitiveness. Offline capabilities for democratization. The use cases that Mistral has designed for its small models include, above all, local applications, such as factory robots that use sensor data in real time and without relying on the cloud, drones in natural disasters or rescues that operate offline, and smart cars with functional AI assistants in remote areas. Lample stood out that there are billions of people without internet access but with laptops or cell phones capable of running these small models, which he considers potentially revolutionary. Additionally, by running on the device, these apps preserve the privacy of user data. Real “open source” debate. Not everyone celebrates Mistral’s approach. Some critics question his decision to opt for models’open weight‘, that is, free to access but providing less information about their code than truly “open source” models, which provide the code and training data necessary to train a model from scratch. Andreas Liesenfeld, assistant professor at Radboud University and co-founder of the European Open Source AI Index, declared to the Financial Times that data at scale is the missing key in the European AI innovation ecosystem and that Mistral does not contribute to that at all. The long-term strategic bet. Lample recognize that their models are “a little behind” the most advanced closed systems, but argued that the important thing is that “they are catching up quickly.” Time will tell if Mistral’s approach to low-cost, versatile models with local applications ends up working for them to end up positioning themselves as one of the great European bets on AI. Cover image | Mistral AI In Xataka | China already has an army of 5.8 million engineers. His new plan involves accelerating doctorates

Google hit the red button when ChatGPT came upon it. Now it is OpenAI who has pressed it, according to WSJ

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Sam Altman has activated high alert on OpenAI. Just like share From Wall Street Journal, the company’s CEO announced this Monday in an internal memo that the company enters “code red” to improve ChatGPTthe tool that has catapulted the company to stardom but that now sees its rivals closing the gap at breakneck speed. what’s happening. OpenAI is postponing several important projects to focus all its resources on improving the daily ChatGPT experience, according to the internal memo to which WSJ has had access. According to Altman, the chatbot urgently needs advances in personalization, speed, reliability and the ability to answer a broader range of questions. Among the postponed projects are initiatives to include advertising in the free version of ChatGPT, AI agents for health and purchases (the latter was announced very recently), and Pressa personal assistant in development. why now. The pressure comes mainly from Google. Your model Gemini 3released last month, has outperformed OpenAI in industry benchmarks and sent the Mountain View giant’s stock soaring. Just like assures In the middle, Gemini’s monthly active users went from 450 million in July to 650 million in October, a meteoric growth that sets off all the alarms at OpenAI. Although ChatGPT maintains the lead with approximately more than 800 million weekly users, the speed at which Google is gaining ground is worrying. The underlying problem. OpenAI is in a delicate position. The company it is not profitable and it needs constant rounds of financing to survive, which puts it at a disadvantage compared to Google and other technology companies that can finance their investments with their own income. It’s also spending more aggressively than its main startup rival, Anthropic. According to their own financial projectionsOpenAI will need to reach revenues of approximately $200 billion to be profitable in 2030. All while being committed to investments of hundreds of billions in data centers. The last setbacks. The company has had a difficult time lately balancing the security of its chatbot with making it more attractive to users. The GPT-5 model Launched in August, it disappointed some users, who complained about its colder tone and problems answering simple math and geography questions. OpenAI had to update the model last month to make it warmer and better able to follow user instructions. OpenAI’s response. According to point In the middle, Altman has established daily calls for those responsible for improving ChatGPT and has encouraged temporary team transfers. WSJ assures that the company uses three color codes: yellow, orange and red, to describe the different levels of urgency necessary to address problems. According to the outlet, prior to this “code red”, OpenAI had declared a “code orange” in its effort to improve the chatbot. Nick Turley, Head of ChatGPT at OpenAI, stated in X that ChatGPT represents 70% of global AI-assisted activities and 10% of search activities. An unexpected script twist. This represents a radical change compared to three years ago, when it was Google who declared its own code red in response to the threat posed by ChatGPT. And after a groundbreaking Google I/O Last May, those from Mountain View have witnessed brutal growth in all the directions in which the AI ​​race is currently pointing, with improvements in their chatbot, the deployment of countless AI agents, improvements in their applications and more. Now it seems that it is OpenAI who must defend its position. And now what. Altman advertisement that next week OpenAI will launch a new reasoning model that, according to internal evaluations, surpasses Google’s Gemini 3. However, he acknowledges that there is still a lot of work to be done in the everyday chatbot experience. Cover image | OpenAI and Xataka Android In Xataka | China already has an army of 5.8 million engineers. His new plan involves accelerating doctorates

We already know who to thank for Google making AirDrop also work with Android phones: the European Union

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A few days ago Google gave a surprise and announced that it had managed to make its system Quick Share was compatible with AirDrop. Suddenly it was possible to wirelessly transfer data and content from a Pixel 10 to an iPhone or iPad and vice versa. What Google did not do is tell how it did it, but in reality the credit was not its own, but rather the European Union’s. what has happened. Google has updated the feature Quick Share of Android to support AiDrop. That makes it possible to share files directly over an end-to-end Wi-Fi connection. Any Apple device with AirDrop enabled will appear in the list of nearby devices when you try to share content with Quick Share, and the same will happen in reverse in the AirDrop menu. It is the Android-iOS interoperability (and we will see if also with macOS) that we have all dreamed of for a long time, and that is now finally a reality. First the Pixel 10, then the others. At the moment only the Google Pixel 10 They support this option, but it is more than likely that it will reach the entire range of Android devices. Google confirmed in The Verge that Apple had not been involved in this development in any way, but in reality it was. The thing is that his role was not voluntary. How AirDrop works. This feature makes use of Bluetooth to allow devices to detect each other, and then an end-to-end Wi-Fi connection takes care of the data transmission. The crucial detail is that Apple developed a proprietary protocol called Apple Wireless Direct Link (AWDL) to facilitate that connection between devices. And since it was proprietary, no one else could use it and AirDrop was a fantastic option that was only available for devices in this ecosystem. Very Apple everything. This is where the EU comes in.. At the beginning of the year the European Union decided that Apple had to adopt interoperable wireless standards and was to do so starting with iOS 26. No one paid much attention to the impact the announcement would have on AirDrop, but cloud services company Ditto took care of glimpse the future and explained how “the EU has killed AWDL.” Which is effectively what happened: Apple was forced to abandon its proprietary protocol in favor of interoperable alternatives. Hello Wi-Fi Aware. The new regulations forced Apple to add support for the Wi-Fi Alliance’s Wi-Fi Aware standard and replace AWDL. The curious thing is that Wi-Fi Aware was developed with the support of Apple, but here the operable implementation was the one that was forced to be used on devices from the Cupertino firm. This reminds us of USB-C. This reminds us of what happened previously with the Lightning port, which was essentially a proprietary version of the USB-C standard. When the EU forced to use this connector on mobile phones and other devices Apple had to ditch the Lightning port. That has made charging adapters interoperable, and the same is now true for AirDrop. A promising future. Wi-Fi Aware has been added to both iOS 26 and iPadOS 26 (but it does not seem to be integrated into macOS 26), and therefore mobile phones from the iPhone 12 will be compatible with this option. For its part, Android has been supporting this standard since Android 8.0, which makes the vast majority of devices candidates to take advantage of this interoperability with Apple devices. What’s not clear is whether it will be possible to use QuickShare with AirDrop directly on Macs, but there are alternatives in that case: myself I have NearDrop installed on my Mac mini M4 and I can share files from my Pixel 8 Pro without problems with Apple equipment. In Xataka | Notifications with ads from some of the apps we use the most are hijacking our phones. And there’s not much to do

In a financial carom, Google has stood up to NVIDIA, leaving an unexpected winner in the crazy AI race: Larry Page

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NVIDIA promised them very happy being the best-positioned AI chip manufacturer. At least it was until Google has started making chips. This new scenario has excited investors, who have rushed to buy Alphabet shares, making your price goes up up to 6.3% from one day to the next, and accumulating an advance of more than 75% since its August price. This increase in the value of Google’s parent company has also coincided with a dip in Oracle’s valuation, which has caused chaos on the podium of the world’s largest fortunes. according to Forbes. What AI gives you, AI takes away. A few months ago, Larry Ellison, founder of Oracle rose as the second largest fortune in the world, overtaking Mark Zuckerberg. His fortune reached 291.6 billion thanks to the good growth prospects posed by the construction of the data centers for AI. In fact, the Oracle founder’s fortune grew so much that he was close enough to the unattainable Elon Musk as to threaten its position on that list. Just as AI raised Larry Ellison to become the world’s second-largest fortune, AI he has taken that place away to hand it over to Larry Page, who reaches that position with a fortune of 261.5 billion dollars. Google rises, Oracle falls. He Google stock rally contrasts with the downturn suffered by the main architect of the cloud infrastructure in which AI lives, leaving up to 6.79% of its price in recent days. This decline has meant that Ellison’s fortune, with a strong influence of Oracle on its income balance, has suffered, falling to $256.7 billion, being displaced to third position. That same stock market momentum of Google has taken another founding partner, Sergei Brin, to fourth position, with a fortune of 242.4 billion dollars, while Alphabet shares brought the company closer to a market capitalization of almost 4 billion dollars. Mark Zuckerberg and Jeff Bezos didn’t even see it coming. The most pronounced falls in recent months have been those of Jeff Bezos and, above all, Mark Zuckerberg, who, accustomed to remaining in the Top 3 of the greatest fortunes, fall to fifth and sixth position in the ranking of Forbes. The decline in Mark Zuckerberg’s fortune is especially striking, due to the poor performance of Meta shares in recent weeks. Interestingly, Meta shares have broken their downward trend following Google’s announcement to get into the semiconductor business for AI and the rumors that Zuckerberg could change NVIDIA processors for the Tensor Processing Unit manufactured by Alphabet. Larry Page and Sergei Brin: same company, different fortunes. Although Page and Brin co-founded Google and share control of the company through their shares, both millionaires do not own exactly the same number of shares, and that detail makes a big difference in their assets. According to public statements of Alphabet before the US Securities and Exchange Commission (SEC), between the two magnates they concentrate 87.9% of Alphabet’s class B shares, which grant 10 votes per title. However, the figures show that Page has just over 389 million shares, while Brin account with some 362.7 million of these shares, which makes Page the main beneficiary of the rally in the shares of the company they founded. Brin has been more generous with science. The key to this gap is that Sergei Brin has been much more active than Page in donating and selling part of his stake in Alphabet, and that has reduced his share package over time. Brin has been targeting large volumes of Alphabet and Tesla shares to research donations of treatment against Parkinson’s disease, bipolar disorder or autism, after being discovered a genetic mutation which made him prone to developing that disease. In Xataka | Larry Page and Sergey Brin founded Google and became millionaires. Now they are dedicated to collecting gigantic airplanes Image | Flickr (Fortune Global Forum, TED Conference)

Huawei lost to Google, Qualcomm and TSMC. What he didn’t lose was something more important: his reputation.

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Last week were the Xataka Awards 2025. Stella Li, global vice president of BYD, took the Xataka Legend. He Galaxy S25 Ultra It swept the super high range. Freepik was crowned as best Spanish technology company. It was a night of proper names, drinks and conversations with readers. But There is a prize that, for those of us who spend a lot of time in Xatakaas workers or as readers, has a special weight. Not because of its glamour, but because of what it represents. The Community Award is not decided by any jury. There are no internal debates. You, the readers, decide with your votes. It is the device that you liked the most, without filters. In fact, it is the only one that is not delivered by any employee of the house, but rather by members of the community who represent it on stage. In the image that heads this article, three of them with Cristina Isidoro, PR Manager of Huawei in Spain, who collected the award. Because this year he won it Huawei Watch GT 6 Pro. And when I saw the result, I smiled slightly: it was more than just a reward for a well-made smartwatch. It was pure symbolism. Look at the historical list of winners of this award: Almost all, Chinese devices or devices with a Chinese soul that share a pattern: focus on value for money, practical innovation, and in some cases, arriving wanting to break molds. But among all of them, Huawei is the only one that did not arrive yesterday promising a lot for little. It is the only one that was already in the world elite, disputing the throne with Samsung and in fact about to snatch it awaybefore the United States decided to use it as a pawn in its trade war. Because Huawei has not conquered the perception of premium quality by offering more gigabytes for fewer euros. It conquered it by being, for years, simply a great option. He P20 Pro It was the first mobile phone with a triple camera that really worked. The Mate 20 Pro was an unapologetic technical beast compared to the high-end greats. Their MateBook laptops have been worthy rivals of the Surface. And their GT watches already stood out for batteries that lasted weeks when Apple asked for a charger every night. They weren’t cheap. They were good. And that difference, in the technology market, is abysmal. Then 2019 arrived. EntityList. American veto. Goodbye Google, goodbye Qualcomm, goodbye TSMC. Sales outside China plummeted and the Western narrative was unanimous: Huawei was dead. Without the Google ecosystem, without access to the supply chain, it was impossible to survive in this business. But no one explained to them that it was impossible. Instead of giving up, they built their own universe. HarmonyOS on more than a billion devices. Kirin Chips own, then Ascend for AI. Huawei Cloud growing in Asia, Africa and Latin America. They didn’t beg to go back to Google Play like we might perhaps have expected them to do. They simply built another entire ecosystem. Without one word higher than another. At the beginning of the month I was in China and was able to try several of their devices, including some that just left there. The premium feel is real. And something that we do have here, the GT 6 Pro, is not a gadget 150 euros that promises too much and falls halfway. It is a watch in the 400 euro range that performs very well. and the community of Xataka has passed sentence with his prize. That doesn’t happen by chance. Xiaomi shines in value for money. Realme and Oppo play there. Nothing has its aesthetic indie. But Huawei is the only Chinese brand that, when you mention it, the European consumer automatically thinks of “serious quality”, without the asterisks that others have. And she did it right after they tried to destroy her. The Huawei Watch GT 6 Pro is a great watch. But winning the 2025 Community Award means something else: It is the recognition of the only Chinese brand that has come out of the perception low cost without giving up its origin. It is the prize that, in a way, China had been pursuing for decades. Respect without conditions. And it has been won by a company that they tried to annihilate. Sometimes vetoes don’t kill. They forge legacies. Featured image | Xataka In Xataka | The LG OLED Signature AI T4 is the best television of the year for a simple reason: we are saying goodbye to the black monolith

Reopening nuclear power plants sounds very spectacular, but Google has a plan B in case it’s not enough: solar energy

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Data centers for are insatiable monsters those who are responsible for them must feed. OpenAI, Meta, Microsoft, xAI, Anthropic and Google are burning money riding colossal data centers for training and management of artificial intelligence. But these installations are not expensive to set up: they are also expensive to maintain. They require a considerable amount of energy to functionand Google has just received a ‘shot’ of renewables. All thanks to a direct connection to the largest system in the United States. Renewables to power AI. Google and TotalEnergies have just signed a agreement of energy purchases for 15 years. The contract stipulates that the energy company will deliver 1.5 TWh of electricity from its Montpelier solar plant, in Ohio, to Google. The plant is still under construction and they estimate that it will have a capacity of 49 MW, but the most important thing is that it will be connected directly to the electricity system. PJM. It is the largest network operator in the United States. It covers 13 states and data centers are representing a relevant portion of the operator’s pie: in its last annual auction, the load of these facilities PJM capacity sale triggered at 7.3 billion dollars, 82% more. Astronomical needs. In the statement from TotalEnergies, the company that this agreement illustrates its ability to meet the growing energy demands of the major technology companies. The problem is that it is not enough. If we focus on Google, the consumption of its data centers was 30.8 million megawatt hours of electricity. The company has been focused on AI for years, but the recent ‘boom’ has made it double what its centers consumed in 2020 (14.4 million MWh). Currently, data centers are estimated to account for 95.8% of Google’s total electricity budget. But it’s not just Google: the International Energy Agency esteem that global data centers consumed 415 TWh last year, representing approximately 1.5% of global electricity consumption. It seems little put in percentage, but Spain consumed in 2024 231,808 GWh, or 231 TWh, in 2024. The data centers of a handful of companies alone consumed twice as much as an entire country. And the estimate is that this data center consumption will double by 2030, reaching 945 TWh. Renewables are not enough. Now, although renewables are a support for the total energy required by data centerssolar and wind power have two limitations: intermittency and variability. Generation depends on weather conditions and time of day, meaning it fluctuates dramatically even throughout the same day. This instability clashes head-on with the high reliability and availability requirements of data centers. These are installations that must operate continuously and cannot assume cuts or Unforeseeable drops in supplysince AI or cloud storage would suffer the consequences. These renewables require backup batteries, but it is complicated and expensive to have such a large number of batteries just to power data centers. Pulling the gas and looking at the nuclear. That’s where other sources come into play. On the one hand, nuclear. In October 2024, Google signed the world’s first corporate agreement to acquire nuclear energy from SMR reactors. The first will come into operation in 230 and it is expected that, together, they will be able to satisfy the technology company with 500 MW of capacity by 2035. On the other hand, natural gas. In October of this year, the Broadwing Energy Center project began, a new natural gas power plant that will have a capacity of 400 MW and is scheduled to come into play at the end of 2029. Decarbonization and pressure. And the big question is… doesn’t the use of gas for AI clash with the technology companies’ objectives of achieving decarbonization percentages for both 2030 and 2050? We have already seen that oil companies have been getting off the renewables bandwagon because they have seen that fossil fuels are still relevant in the technology industry, but in the case of Google, they rely on the fact that projects like the Broadwing Energy Center They will have CCS systems. This means that it will have carbon capture system that will be able to permanently “sequester” 90% of the emissions. It means burying the problem, literally, since the CO₂ will be stored a mile underground. In 2020, before the AI ​​boom, the company established the goal of operating with carbon-free energy 24 hours a day, seven days a week by 2030. It will be interesting to see how they plan to offset these emissions thanks to renewables, but the IAE estimates that the demand for data centers will not stop growing in the short term and that adds another problem: a increased pressure on the electrical grid which is added as another element to manage. Because the big underlying problem is that the demand for energy is growing at a faster rate than the capacity to generate new electricity, and it is something that has an impact on companies’ bills, but also in homes. Images | Unsplash, Google Data Center In Xataka | China does not have a spending problem with AI. What it has is a huge income gap compared to its main rival

Roman roads changed the world. And this Google Maps from 2,000 years ago allows you to explore them

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What have the Romans given us? It’s not a question I ask myself when I can’t sleep, but the brilliant satire that Monty Python captured in ‘Brian’s life‘. He aqueductsewage, education, irrigation, health, wine, public baths… and roads. At its peak, it is estimated that The empire’s network expanded over 120,000 kilometersbut as excavation has been carried out, more and more remains of Roman roads have been found. On some occasions we have brought some “Google Maps” of the Roman Empirebut what we have in our hands today is the culmination of an anthological work that compiles some of the most important sources of the arteries of the empire and captures those roads is an impressive interactive map with almost 300,000 kilometers of roads. The tool is called itiner-eand it is something that can absorb us for hours and hours. The Google Maps of the Roman Empire If you have already taken a tour of the mapyou should know that it is a living element. As discoveries are made and the location of the tracks is determined, the team will update the map. But what we currently have is the result of more than five years of work carried out by a team with members from both the Autonomous University of Barcelona and the Aarhus University of Denmark. In it study published in Naturedetail that it is “the most detailed and complete digital data set of roads in the entire Roman Empire” published so far. In fact, it exceeds the known length of Roman roads by more than 100,000 km thanks to both greater coverage at the focus and better spatial precision. Previously, the Digital Atlas of Roman and Medieval Civilizations (DARMC) mapped 188,554.7 kilometers. To do this, the researchers identified both the most important routes and the paths of archaeological and historical sources, locating them using both historical and current topographic maps. The main sources have been the Antonine Itinerary and the Tabula Peutingeriana, but the “milestones” and settlements close to each other (for example, limits of the empire, such as those near Hadrian’s Wall) are what have allowed researchers to assume the existence of roads that connected them. Other sources include summaries of the Roman road network in specific regions, maps from the Mapping Past Societies, the Barrington Atlas or the Tabula Imperii Romani, among many others. As a result of this work, the new map includes 299,171 kilometers of roads (to connect a territory of more than four million square kilometers), and they are divided as follows: 103,478 kilometers of main roads, 34.6% of the total. 195,693 kilometers of secondary roads, 65.4% of the total. And it is not that more than 100,000 kilometers have been taken out of the bag, but that roads that previously crossed rivers or were simple straight lines, have now been drawn with greater precision, adapting to the topographical peculiarities of the terrain. Now, although the work is amazing and we can see by playing with the different layers of information that many of the main roads coincide with current roads, the researchers confess that “only” the location of 2.737% of the Roman roads is known with certainty. That is why the vast majority of itiner-e roads show the legend “hypothetical” or “conjecture”, just before detailing the record from which they took the data. This certainty depends on: Certainty: segments well documented in the sources, which have been digitized with high spatial precision. Guess: segments with lower spatial precision due to a lower level of documentation. Hypothetical: paths that are speculated to have existed, but for which there is insufficient evidence to classify them within one of the above groups. For example, roads in desert areas where the infrastructure was less fixed and where several parallel roads have been found. But beyond satisfying our curiosity, something we can do with this map is… play. The team has including a function that is still in beta status and allows you to explore the time these routes took. To do this, we have to select between several points and select between four modes of land transportation: On foot at a speed of 4 km/h. By oxcart at 2 km/2. In an animal like a donkey at 4.5 km/h. And on horseback at 6 km/h. We can also select maritime routes with speeds of 2.5 km/h downstream and 0.6 km/h upstream. In the end, that rebel group from ‘Life of Brian’ was quite right when it came to saying that one of the most important things the Romans had done for them had been the deployment of roads. Because they were fundamental to speed up transportation within the empire’s domains, and that work is noticeable even today. They were the foundations on which we build our roads and urban centers. It is something that becomes clear when we observe that the only place in the empire in which there was not such an important or meticulous deployment, such as Africa and the Middle East, where trade on wheels was abandoned in favor of camel caravans in the 4th-6th centuries, has consequences today. Images | itiner-e In Xataka | Forma Urbis Romae: the gigantic map of Ancient Rome conceived in 1901 and still unsurpassed today

Google has managed to integrate Apple’s AirDrop into Android. Without the help or permission of Apple

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Google has announced that Quick Shareyour file transfer system on Android, now also works with Apple’s AirDrop. The users of a Pixel 10 They can send and receive files directly from iPhone, iPad and Mac without intermediaries or servers. Support is two-way and works when the Apple device activates “Everyone for 10 minutes” mode in AirDrop. The Pixel detects the iPhone as an available destination, the user accepts the transfer and the connection is established directly. Ta-da. The turn. Apple has not participated in the development. Google has confirmed that it has implemented this feature on its ownwithout your collaboration. “We have achieved it with our own implementation,” they said from Google. This contrasts with other recent interoperability advances between both platforms—messaging RCS or the unknown tracker alerts— where there was coordination. Between the lines. Google appears to have reverse engineered AWDL technology (Apple Wireless Direct Link) that underpins AirDrop. Although it is proprietary, it relies on open standards such as Bluetooth and Wi-Fi Direct, which makes it technically possible to implement unauthorized support. The company has developed the feature using Rust, a programming language considered more secure against vulnerabilities. It also hired NetSPI, an independent security firm, to validate the implementation. His assessment: the system is “notably more robust” than other solutions in the sector. The threat. Apple may end up blocking this functionality and in fact it is a very likely scenario given the history. In 2023 closed Beeper accessan app that allowed iMessage to be used on Android through reverse engineering. But the context has changed. Google is much bigger than Beeper. In addition, Apple now has greater regulatory pressure than then around anti-competitive practices, both in Europe and the United States. Yes, but. The current implementation only works in “Everyone for 10 minutes” mode. AirDropless convenient than the “Contacts Only” mode. Google has expressed its willingness to collaborate with Apple to enable that mode. The feature starts exclusively on the Pixel 10, although Google has promised to expand it to more Android devices. At stake. This move attacks one of the elements of Apple’s walled garden that most frustrates cross-platform users. If Google manages to maintain this operational compatibility, it erodes another barrier to change. If Apple takes it down, it reinforces the narrative of monopolistic practices just as regulators take a closer look. In the coming weeks we will surely hear about this case again. In Xataka | Privacy was Apple’s ace in the hole in the age of AI. Google just took it away Featured image | Google

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