Google

Google is serious about putting data centers in space. Elon Musk and Jeff Bezos rub hands

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While there are municipalities debating whether to let big technology companies install data centers in their domainsGoogle wants a strike further: taking the data centers to space. Google. The company revealed its intentions a few weeks ago and your Suncatcher project wants to install two prototype satellites before 2027. Curiously, Elon Musk and Jeff Bezos are more than delighted with the idea of ​​their rival. Suncatcher Project. Push the capabilities of the artificial intelligence requires that we train it and, for this, they are necessary huge data centers with spectacular computing power. The problem is that the energy needs of these facilities They are astronomical, becoming resource sinksmaking oil companies set aside their renewable energy plans and even raising the opening of “private” nuclear power plants. Suncatcher couldn’t have a more appropriate name. In space, without the influence of the atmosphere, solar panels They capture the light spectrum in a different way, enough to feed those data centers that seem insatiable, and what Google proposes is to build constellations of dozens or hundreds of satellites that orbit in formation at about 650 kilometers high. Each of them would be armed with Trillium TPU (processors specifically designed for AI calculations) and would be connected to each other via laser optical links. Pichai puts the topic anywhere. Although 2027 is the key date, it is evident that Google is very interested in airing its plans because it is a sign of both technological power and an invitation for interested entities to invest in the process – and a way to continue inflating everything around AI-. And the person who is practicing this speech the most is the company’s CEO himself: Sundar Pichai. Since we learned of Google’s plans, Pichai has spoken of the topic in every interview he has given. It does not tell anything new beyond that hope of having TPUs in space in 2027 and the ambition that in a decade extraterrestrial data centers will be the norm. Musk and Bezos: competition, but allies. And if Google is interested in selling its narrative, those who are also interested are two of its most direct competitors: Elon Musk and Jeff Bezos. Both Musk with several of his companies and Bezos with Amazon Web Services are in the race for data centers and artificial intelligence. They have some of the largest on the planet, but they also have something that the rest of the competitors don’t: ability to launch things into space. Musk with SpaceX and Bezos with Blue Origin have the tools to put satellites into orbit, charging for each kilo they launch into space. And it is there, the more credible it seems that the future of computing is in low Earth orbit, the more economic and political sense they will make. SpaceX as Blue Origin. Both are Google’s competition, but also the option for Google to achieve its objective. And, ultimately, we keep seeing rival companies renting their services from each other. Data center fever in space. The truth is that, at first, it sounds like a crazy plan to build these extraterrestrial data centers, but from the most pragmatic point of view (removing logistics and the money that both development and each launch will cost from the equation), it is a plan that makes sense. In space, a panel can perform up to eight times more than on the Earth’s surface, in addition to generating electricity continuously by not depending on day/night cycles. It is something that would eliminate the need for huge batteries, but also for complex water-based cooling systems. And, as we said, Google is not alone in this. Currently, there is a fever for space data centers with big technology companies in the spotlight: Considerable challenges. Now, Google itself comment It will not be easy to carry out this strategy. On the one hand, the costs. The company claims that prices may fall several thousand dollars per kilo to just $200/kg by mid-2030 if the industry consolidates. They note that, in that case, the price of launching and operating a space data center could be comparable to the energy costs for an equivalent terrestrial data center. Another difficulty will be maintaining a close orbit between the satellites. They would have to be within 100-200 meters of each other for optical links to be viable. And most importantly: radiation tolerance by the TPUs. Google has been experimenting with this for years, but they must test the effects of radiation on sensitive components such as the HBM memory. Surely astronomers They will be delighted with this strategysame as with starlink. Image | THAT In Xataka | We are launching more things into space than ever before. And the next problem is already on the table: how to pollute less

Europe was happy with the changes in the App Store, but not with those in Google Play. There is a historic fine at stake

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Google is in the crosshairs of the European Commission. A few days ago they announced a new investigation into monopolistic practices with AI summaries, but it is not the only front they have open. The company has already paid historical fines and you face a new one if you don’t make changes to Google Play, your app store. what has happened. They tell it in Reuters. The European Commission is not satisfied with the changes that Google has made to its app store to comply with the Digital Markets Act or DMA. Regulators consider that there are two points that do not comply with the standards: There are technical restrictions that make it difficult for developers to direct users to external channels with better prices. Google continues to charge a commission to the developer even if the user buys the app from its website, with the excuse that they have “facilitated” the purchase. Why is it important. If Google does not make the necessary changes to comply with the DMA, it faces a fine that could amount to 10% of its total revenue. In 2024 they will invoice 350,000 million dollarsso the maximum fine would amount to 35,000 million, the highest to date. Google can still offer to apply changes to avoid paying the fine. The Apple case. The one the Commission is satisfied with is Apple. In fact, they are using your case as an example of what needs to be done. It was not a bed of roses and Apple was fined 500 million euros for not complying with the DMA. Apple had to remove restrictions that prevented redirection to alternative offers. The Epic trial. The European Commission is not the only one that has Google Play in its sights. In the United States, the judge of the Epic vs Google case made a historic decision: Google would have to allow rival stores within the Play Store. Recently Google and Epic reached an agreement through which Google undertakes not to charge commissions of more than 20% on purchases’in-game’ and 9% for the rest. In addition, developers will be able to showcase other payment systems through Play Billing. The agreement must still be approved by the judge, but it seems that Google will have no options but to comply with what both the judge and the EU ask of it. What Google says. The company announced changes in Google Play last August to avoid the fine, is what the Commission now considers insufficient. Google competition lawyer Clare Kelly said the company was “concerned that these could expose Android users to harmful content.” This is the usual position of American companies that are under the scrutiny of the European Commission. Mark Zuckerberg called the DMA “censorship” and there has also been harsh criticism and tariff threats since the Trump administration. Recently, a national security strategy document He claimed that European laws could mean an “erasure of American civilization.” The fruits of the DMA. He overregulation of the European Union is subject to criticism, but It also has a good side. Thanks to the DMA has made USB-C mandatory for all manufacturers, forcing Apple to abandon its proprietary connector. It has also brought us the Universal AirDrop and the changes in the app stores so that we have more freedom when it comes to where to download our apps. Image | Xataka, Pexels In Xataka | Europe wants to protect itself against Huawei, but the energy sector knows something uncomfortable: it cannot move forward without it

OpenAI and Google deny that they are going to put ads in ChatGPT and Gemini. The reality is that accounts do not come only with subscriptions

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What AI has a profitability problem It is something well known. All you have to do is look at the OpenAI accounts, which in the last consolidated quarter lost a whopping $11.5 billion. The subscriptions were presented as a way to monetize chatbotsbut ChatGPT barely has 5% of the total users on one of your payment plans. The numbers do not come out and, although companies deny it, the shadow of advertising hangs over AI. what’s happening. Rumors that some very popular chatbots are integrating ads are intensifying in recent days. First they began to circulate alleged screenshots of an ad on ChatGPT and later a media specialized in advertising claimed that Gemini will have announcements in 2026. Companies deny it. Google has been quick to deny the information, ensuring that Gemini has no ads and “there are currently no plans in place to change it.” What stands out above all is that “currently”, which continues to leave the door open to include advertising in the future. For its part, OpenAI has come out to deny it ensuring that what appeared in that screenshot “was either not real or it was not an advertisement.” What was seen was a suggestion to connect the account of Target, the popular American hypermarket chain. When the river sounds… Despite the forcefulness in denying it, a few days ago we learned that OpenAI is preparing the ground to include advertising in ChatGPT. ChatGPT beta version for Android includes explicit references to an ad feature and tags like “content bazaar” and “ad carousel.” Additionally, the company is hiring experts in advertising platformsso the appearance of ads is not a question of “if”, but of “when.” In the case of Google, we haven’t seen any screenshots or traces in the code, so there isn’t that sense of imminence. However, there are rumors that there will be announcements in AI summaries and taking into account that advertising is the company’s main business, it does not sound crazy that they end up integrating ads into their chatbot. Investment vs return. The imbalance between what technology companies are spending on AI with what they are earning is totally unbalanced. Big tech companies like Google are increasing their revenue, but It is not thanks to AI, but to its cloud services. In the case of OpenAI, without an infrastructure to minimize the impact, the disconnection between expenses and income is brutal. Subscriptions are not enough. AI has managed to penetrate the general public and, according to the consulting firm Menlo Venturesalready has 1.8 billion users around the world. The problem is that only 3% pay any type of subscription. OpenAI currently has 5% paying users and expects that by 2030 the figure will increase to 8.5%. It is still not enough to achieve the desired profitability. According to a study by JP Morgan, For the AI ​​industry to achieve a 10% return on everything they have spent, it would take $650 billion a year, which is the same as saying that 1.4 billion people pay more than $400 each year to use AI. They may succeed, but for now ads seem like a faster way to generate income. Image | Generated with Gemini In Xataka | AI has become the best example that if you don’t pay for the product, you are the product

Google changed the news to summaries made with AI. Now the European Commission has something to tell you

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In March of this year an earthquake shook European publishing houses. The reason was that Google implemented AI Overviews in your search engine. This means that, where links to media news previously appeared, a summary made with AI now appears, with the detriment that this entails for the media, which in some cases They have lost up to 50% of traffic. Now the European Commission has taken action on the matter. What has happened? The European Commission has formally opened a new antitrust investigation against Google. The reason this time is the use of content from media outlets and YouTube creators to feed their AI summaries, all without compensating the creators. The investigation will try to elucidate whether Google is distorting competition by placing unfair rules on the media, while its access to content (especially in the case of YouTube) displaces other competitors of AI companies. In the words of Teresa Ribera, Executive Vice President for a Clean, Fair and Competitive Transition at the European Commission: “AI is bringing remarkable innovation and many benefits to people and businesses across Europe, but this progress cannot come at the expense of the fundamental principles of our societies. That is why we are investigating whether Google has imposed unfair conditions on publishers and content creators, while putting developers of rival AI models at a disadvantage, in breach of EU competition rules.” Why is it important. The research involves questioning the model that Google has built around its generative AI, but it also calls into question the entire problem of the use of foreign content by these tools. Opens the door to reconfiguring the AI ​​market, imposing limits and compensation for original content creators The impact. As we said, the arrival of AI summaries has had a huge impact on media traffic. If readers receive the response without having to make a single click, that traffic is lost and not only that: it is unrecoverable. The worst thing is that to give that answer, Google drinks from the information published by those same media. In the case of YouTube, creators are required to accept a clause so that their content can be used for different purposes, including train your AI. Consequences. The investigation has just begun and there is no set date for its conclusion, which could take years. They will study whether Google has violated the article 102 of the Treaty on the Functioning of the EU and the article 54 of the Agreement on the European Economic Area, which prohibit the abuse of a dominant position. If Google is eventually found to have breached these rules, the Commission could force them to take measures to comply with the law, such as compensating creators, allowing them to opt out of having their content appear in summaries, or even removing summaries across the EU, in addition to a possible fine. And now they go… It is not the first time that Google has faced monopoly accusations in the EU. In fact, it is the technology company that accumulates the highest fines. The highest was 4.3 billion for abuse of dominant position with Androidfollowed by 2,950 million for their abuse in the advertising market. He also had to pay 2,420 million for Google Shopping and 1,490 million for AdSense. Images | UnsplashEuropean Commission In Xataka | The EU has spent years fiercely fighting monopolies. Teresa Ribera has other plans for telecos

Amazon and Google are already armed

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Let’s go back in time for a moment. By mid-2023, ChatGPT He had been between us for half a year and artificial intelligence was experiencing a huge boom. For some it was a fad; For others, one of the most relevant technological disruptions of recent times. OpenAI had the lead. From being practically unknown, she went on to dominate headlines. He achieved this by putting a product as fascinating as it was imperfect in the hands of the public, the type of launch that Big Tech would hardly have materialized. In its early months, ChatGPT had few guardrails and made mistakes quite frequently. Such a setback would have meant a reputational blow Huge for any tech giant, but a startup could possibly take that risk. NVIDIA, the winner in the AI ​​race, faces a challenge The basis for competing head-to-head with ChatGPT was—and continues to be—developing increasingly advanced language models. After launching GPT-3.5the model that gave rise to ChatGPT, OpenAI moved quickly to introduce GPT-4 in March 2023. From that moment on, the old and new players in the sector had no alternative but to enter the game, unless they wanted to stay out of what was already aiming to be the next technological revolution. And whatever the name of the company, they all depended on one key player: NVIDIA. The reason? Jensen Huang’s firm had the best AI-specialized GPUs on the market, with the H100 as standard bearer. And we talk about GPUs because they are much more suitable than CPUs for the parallel processing tasks that modern AI requires. The approach was simple: if you wanted to compete in generative AI—and hopefully aspire to lead it—you needed to buy NVIDIA GPUs, upgrade your data centers or open new ones. And all this against the clock. The result was massive demand that sometimes led to shortages. An illustrative example: at the beginning of 2024, Meta announced that Its renewed infrastructure for generative AI would reach 350,000 NVIDIA H100 GPUs by the end of the year, with a power equivalent to about 600,000 H100. By June 2024, NVIDIA was already the most valuable listed company on the planet. It is often said that the difficult thing is not to get to the top—that too—but to stay there. That’s exactly the challenge NVIDIA faces now. Their products remain at the top and its strategy covers much more than hardware: it includes a stack of software designed to make the most of the architecture CUDA. But the competition is knocking on the door loudly, the same as with OpenAI. The leadership of these years is pressured by increasingly fierce and global competition. Amazon and Google’s bet on AI chips The most recent move comes from Amazon, which has just introduced Trainium3 UltraServer, a system powered by its AI chip Trainium3 manufactured in 3 nanometers. According to the companythese chips and systems are 40% more energy efficient than the previous generation. And it doesn’t end there. Amazon also showed its roadmap for Trainium4, already in development. It promised support for NVLink Fusion, NVIDIA’s high-speed chip interconnect technology, opening the door to interoperable systems. Trn2 Ultra Cluster Google, which has been developing its TPU chips for AI for a decade, is starting to bet on its own hardware to boost Gemini. Even rumors circulate that talk about a multimillion-dollar investment by Meta to buy AI chips from Google, a move that enters squarely into AI territory. We would also be facing a quite notable change of course in the search engine company, which until now had limited the use of its chips to its own data centers. Ironwood by Google Do you remember that Meta is one of NVIDIA’s big clients? Well, it is also developing—and testing—its own AI chips, such as the MTIA. Even OpenAI has decided to partner with Broadcom to design their own hardware for their data centers. In China, the scenario does not favor NVIDIA either. The trade war with the United States has narrowed its room for maneuver in the country, while local actors such as Huawei they push their own chipswith the Ascend 910D already in production and Ascend 920 new generation. Ultimately, we are seeing many of the players who turned to NVIDIA in the early stages of the AI ​​race beginning to follow their own path. The reasons are multiple, but one stands out above all: the need for independence in a technological competition that only intensifies. Images | World Governments Summit | amazon | Google In Xataka | If you think the internet was much better before AI, congratulations: they have created an extension for you

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

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