Android

The United States is creating “the iPhone of AI”. China is doing “the Android of AI”

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There is an interesting paradox in the current development of AI that says more about geopolitics than about technology: USAtraditionally leader in proprietary software and monetization, is building closed models of AI. Chinahistorically more restrictive with the flow of information, it is leading the open source AI. An investment that is not accidental: each block adopts the strategy that best serves its structural interests. → United States (OpenAI, Anthropic, Google), is building the equivalent of the IPhone of the AI: Very sophisticated systems. Vertical integration. PUPLE POLIDED PREMIUM EXPERIENCES that justify charging for access. The logic is clear: when you control the best GPUS, the main cloud services and you have the capital to train the most advanced models, monetizing that advantage through payment APIs makes immediate economic sense. It is the model that has holding American software for decades. → China, on the other hand, with Deepseek, Qwen and Minimax Mastering the rankings of open models, it is creating the Android of the AI: A free and modifiable ecosystem. Downloadable for local use without depending on payment APIS. Permissive licenses without business restrictions, Unlike Meta with Flame. Accessible source code for independent research and development. As we said at the timethis approach is not due to altruism, nor by cultural difference. It is a strategy based on creating global dependence on a Stack Chinese technological when American becomes inaccessible. Or at least, to present it as a very attractive alternative even before seeing its results. It is true that he calls is American and is also in the league of the greats being open source (With an asterisk of the size of Mestalla). A habitual hypothesis also seems feasible: that target was released precisely because it was behind. The classic defensive strategy to erode the advantage of leaders. China does it from another position: growing strength. And in addition, having to deal with access restrictions to western markets. When your rival controls chips and cloud platforms, and can cut the tap at any time, the only way to create an alternative ecosystem is to make it so accessible that the world cannot ignore it. Soft Power Technological: give today to dominate tomorrow. That, or cling to developing markets plus the gigantic domestic market. This is how Huawei stopped competing to build a parallel reality. The numbers speak alone. According to the Benchmarks of artificial analysis (based in California, not in Shenzen), The three best open source models leave China. Each startup that Depseek uses instead of GPT, each country of the southern hemisphere that displays Chinese models because they are free, each university that trains over Qwen instead of Claude, is another node of the ecosystem that the United States cannot censor, regulate or disconnect unilaterally. It is a story very similar to that of The slow but unstoppable Chinese independence of GPS: In two decades it is no longer that I do not need it, it is that Beidou has reached 140 countries. It is also true that There are traps in both strategies: The American model generates immediate income but creates incentives for the rest of the world to look for alternatives, especially when commercial wars are intensified. Competence. The Chinese model conquers users but at some point it will need to monetize without frightening its base. The latter is something that Google learned with Android for the bad ones: after conquering 70% of the world, it began to monetize it aggressively and ended up receiving huge fines in Europe, antitrust demands in the United States and Chinese alternatives … as Harmonyos de Huawei. The circle closes. The lesson is that giving technology to create dependence works, but monetize that dependence once established attracts the attention that nobody wants: that of regulators. It is the dilemma that China will eventually face its “free” models of AI. The real battle is not for today’s best, but to control the Intellectual infrastructure Tomorrow. The United States sells the premium service. China gives the universal operating system. And the outcome will be that of two historically successful, but opposite philosophies: the American persistence by aggressively monetizing in front of Chinese patience to invest decades if necessary until it can lead. Immediate income against long -term dependence. Time will say. In Xataka | Four AI companies are monopolizing the intellectual future of humanity. They are not good news Outstanding image | Ilgmyzin in UnspashAlibaba, Xataka

China is flooding from devices without a trace of Android. Huawei is the main responsible

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Huawei’s ability to respond to the numerous restrictions imposed by the United States government is being the best example. The company is in the process of continuing to it to go beyond the Kirin 9020marking rhythm of launches with The Pure 80 Ultra and its Advanced Chamber Systemand achieving what no other manufacturer had achieved to date: create a real alternative to Android. Huawei is working for the plan. Harmonyos It is a strategic turn towards the technological self -sufficiency that China has been chasing for decades. An own operating system, with national code and without a trace of Android, the platform that Huawei used in the initial phases of the system. At the end of 2024, Huawei’s Annual Results Report He presumed that more than one billion devices had Harmonyos. In this first half of 2025, we have some more specific data. At all rag. According to Canals, Huawei has sent a total 103 million smartphones with Harmonyos and 21 million tablets from 2021 at the end of 2024. Of those 103 million, almost half (46 million) were sent last year, showing how the last two years are being key to the growth of the company. The data, without context, are only data. To understand at what point Huawei is located to know that, in 2021, the estimates of sale of smartphones gave Huawei 10 million. The figure is important and shows an upward trend: Huawei has gone from the free fall that suffered between 2021 and 2022 to a sustained recovery process in the last two years. In 2022 the figure doubled to almost 20, to end up arriving at 2025 at 46 million. More prohibitions, more shipments. The United States Plan to isolate Huawei in the world has a double edge. The company has collapsed in Europe and left its position to its sister honorbut the efforts to grow nationwide are clearer than ever. Huawei is triumphing in China, and the consultants point out that it will be one of the mobile companies that will grow the most global in 2025 (growth marked by the path they are following in China). A plan that will accelerate with the license restrictions that affect its PCs. Huawei can no longer sell Windows computers: the first solution is Patch existing ones with Linuxthe second, Sell ​​your own computers with Harmonyos. The dream, getting closer. Huawei has made restrictions the greatest opportunity for growth in its history. An approach towards A device with 100% national components, A universal software ecosystem (mobile, tablet, pc, car, wearables) and, most importantly, The only possible and alternative rival to Android out of Apple and his proposal with iOS. Huawei is drawing an alternative scenario in which every Chinese manufacturer who wants to disconnect from the United States can have Harmonyos alternative. It is something that begins to be seen in industries such as that of automotive: manufacturers like Toyota are so far back in software that The only possible solution is to bet on alternatives such as Huawei or Xiaomi. For the moment, Xiaomi, Vivo, Oppo and even honor continue to see in Europe one of its main sales pillars. But China prepares to lead the technological worldand Harmonyos will play a fundamental role in their conquest. Image | Xataka In Xataka | Harmonyos shoots in China and already surpasses iOS. The following objective is global

imitate what android had already done

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When Apple presented Apple Intelligence I was quite confusing. One of the companies referring to the world of technology was shouting at the four winds that had practically nothing relevant on the table. One of the most striking novelties, that of A Siri with contextual understanding And capable of executing local Apple models in a conversational context, it ended up delaying without a date in view. The rest of the functions? Warm and little innovative. Meanwhile, Samsung pushed from Google’s hand to create A AI tool suite for mobile to which nothing could not be reproached. Something they recently achieved with the family Samsung Galaxy S25the maximum current reference in artificial intelligence. Apple has shown how AI for mobile. Even missing a lot of what they promised in their daywe already know how Apple understands the AI ​​for mobiles. Its approximation is local, Leaving third parties like OpenAi The complex process (consultations that require search in Siri, contextual analysis of the screen), and centralizing in its own model the native functions of AI that execute their apps (translations, call filters, minor editions of image). It is an AI in which developers will have a lot to do: their models will be accessible so that applications can use artificial intelligence locally and without connection. But this local approach is not enough, Apple has failed to contribute a single function that was no longer present on Android. Arrive late when the rest arrives soon and well. Apple is usually said that it is late, but it is well. The problem is to be late and well when your rivals arrive soon and well. The functions presented yesterday by Apple have been present at Android for some time. The translation of real -time calls was already present in One UI. Text translation on screen is a native Gemini function that already implement manufacturers such as OnePlus and Samsung. The contextual analysis of the screen is a function that Google premiered with “Roda to search”and that has currently advanced to the point where Gemini can talk with us in real time about what he sees on our mobile. Intelligent summaries also have been hand in hand with Gemini. Apple’s approach, in functions such as spam detection, is enough less fine than Google’s. The company analyzes by means of patterns in the call to determine whether or not spam and warns us on the screen of the potential risk. Apple has opted to block all calls from unknown numbers and force the interlocutor to give explanations about who he is and what he wants. Good to block fraudulent calls, annoying for important emergencies and calls from numbers that we do not have stored on the agenda. Samsung and local execution. One of Apple’s most applauded points and its AI is the local approach. Here they seem to be in the lead, although more for demerit of the rest of their rivals than by the operation of their models. Currently, the AI ​​on Android is divided into two: Samsung and the rest of the manufacturers. The rest of Oems bet on implementing the functions of Gemini Nano With little care, so the Internet connection is mandatory. However, manufacturers such as Samsung have been allowing users for two years to use local. Advanced functions such as image generation do not work, but the elimination of sound, light generative editions (allowance) or transcripts work at home. For Apple is not what, is how. Apple has always been pragmatic. He knows that his models are more than valid for the execution of simple tasks, and delegates the complex tasks in OpenAi. It also does it, relying on three pillars. It is optional. It is private. It is interchangeable. For Apple, Private Cloud Compute It is fundamental. The company has designed an architecture that, in case of needing Internet connection for complex tasks, is extremely careful with the data launched to the server. This data shipping is encrypted from end to end, and not even company employees have access, according to Apple. A local, private and jealous with the data is a more limited AI, and Apple is willing to deal with it. Image | Xataka In Xataka | Apple has decided not to lead the AI ​​revolution. Instead, he has chosen to be his best host

Going down the price of Google Pixel 9 Pro XL, one of the best mobiles with Android

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If you are thinking about renewing your old mobile and want to move on to a high -end and with pure Android, the Google Pixel 9 Pro XL It is the terminal that I would recommend right now. In addition, you can now take it cheaper. In Amazon, now, it has a 25% discount and is available for 897 euros. This price is for the 128 GB version, although if you want more capacity and, in addition, you are a partner of Mimediamarktyou can take this terminal with 256 GB of storage by 823.65 euros. Google Pixel 9 Pro XL 128GB * Some price may have changed from the last review A mobile with excellent value for money This Google Pixel 9 Pro XL stands out for having a screen Super acts OLED of 6.73 inches and resolution of 1,344 x 2,992 pixels. Its soda rate is 120 Hz, it reaches a maximum brightness of 3,000 nits and is compatible with HDR10+. The brain of this terminal is the processor Google Tensioner G4accompanied by the titan m2 backproofing. The RAM is 16 GB and its battery has a capacity of 5,060 mAh and admits fast charge at 37 w. Another of the main identity of this Google mobile is its photographic system, formed by a Triple 50+48+48 MP rear camerawhich is capable of recording video at 8k/30fps. On the other hand, the front camera is 42 MP and in the connectivity section, this terminal also stands out: it comes with Wifi 75G, Bluetooth 5.4 and NFC. It works under the Android 15 operating system and you have the Updates to Android 21. Other high -end mobiles that might interest you Realme Smartphone GT 7 Pro 5g mobile phone 12+256gb * Some price may have changed from the last review Xiaomi 15 Ultra – 16+512GB smartphone * Some price may have changed from the last review 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 | Iván Linares (Xataka) and Google In Xataka | The best mobiles, we have tried them and here are their analysis In Xataka | The best price quality price. Your analysis and videos are here

Goal has been spying on everything we did when navigating our Android mobiles. They have caught it in fraganti

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Billions of users have been exposed to a new system of mass tracking and espionage that both goal and Yandex have used. Both companies have used a technique that took advantage of native applications such as Facebook or Instagram and then monitor everything we did with our mobile browsers. It is a drop more than one glass already Absolutely full: The attack on Our privacy. What happened. A group of researchers from the IMDEA Networks agency and the Universiteit Radboud of the Netherlands, led by teachers Gunes Care and Nerseo Vallina-Rodríguez, published yesterday An extensive technical article. In it they revealed the technique that they have baptized as ‘local Mess’ (‘Lo Local’) and what a goal has been using since September 2024 and Yandex much earlier, since 2017. What does ‘Local Mess’. We will focus on goal and its applications, although the method is analogous in Yandex. Android users who use applications such as Facebook or Instagram could be exposed, because those applications “listened to” what happened in the Browsers installed In our mobile phones using local ports (hence the ‘Local Mess’) with the aim of tracking and monitoring everything we did in our browsers. The user did not know anything. The method allowed these applications to achieve Receive metadata, cookies and commands that were executed in the browsers. The Meta JavaScript code, called Meta Pixel, was loaded silently and without warning as a kind of complement to mobile browsers, and connected to apps such as Facebook or Instagram. Discouraging users. As these researchers explain, the method allowed access device identifiers that are used for advertising systems, called Android Advertising ID (AAID), and that made it possible to associate everything the user did to a real identity (a Facebook or Instagram profile). The result: what we did in the browser was no longer anonymous or private. Neither unknown, nor delete cookies nor anything. This “web-top” method eludes systems that theoretically should protect this type of tracking. Thus, neither Delete cookiesnor navigate in Incognito mode It worked when trying to escape that tracking. In fact, the method “opens the door for potentially malicious applications to fit the user’s web activity,” they explain in the document. Exploiting our “localhost”. Meta and Yandex scripts are slightly different, but both make improper use of unauthorized access to sockets from our localhostthe reserved name that our device has on the local network and that is always the IP 127.0.0.1 (in IPV4) address. The Android operating system allows any application installed with Internet permission to open a listening socket in the Loopback interface (127.0.0.1). The browsers that are executed on the same device also access this interface without the consent of the user or the mediation of the platform. This allows a JavaScript code embedded on web pages to communicate with native Android applications and share identifiers and navigation activity. Millions of affected websites. For the goal to work in the method, he took advantage of his cookie _FBPvery widespread on websites that make use of this platform. According to Builtwith, a website that allows monitoring the adoption of different technologies, that goal Pixel is embedded in more than 5.8 million websites among which are Xataka. There is a search engine in the final part of the study that allows you to know if a website was exposed and the activity in it could be registered by these scripts. Scheme of the attack of the attack. Source: Local Mess. Theoretically, only on Android. The researchers reveal that they only managed to obtain empirical evidence of this technique in Android mobiles. They have not observed such a problem In iOS browsers Or in the applications they evaluated, although they point out that technically achieving something like this on the iPhones is feasible. Browsers protect themselves. Those responsible for the discovery have followed a communication policy responsible for vulnerabilities and have contacted several browse developers. Chrome already has prepared the patchFirefox’s is in development – but it seems not exposed to the problem in the case of goal – Duckdugo has already solved it and Brave was not affected When using a lock list and when required explicit permission of user for communications with the premises. There is no information on the progress of the patch in Microsoft Edge, which was affected. And goal has deactivated that option without further ado. Although browsers have taken measures, they are late. Not because there is no solution or the code has been modified, but because goal has decided to stop using it without saying anything. Yesterday the Meta Pixel script stopped sending packages or making requests to localhost. The code responsible for sending that cookie _fbp, indicate in an update in this report, has been almost completely deleted. Why did this goal? There is a hypothesis about the implementation of this technique by the goal: it could be due to how Google was intended to get rid of third -party cookies in Chrome At some point in 2024. That would have affected companies as a goal, which perhaps would have reacted trying to collect that information with this technique to have a plan B if cookies disappeared. What says goal. In Xataka we have contacted those responsible for the goal in Spain, and we will update this information if we receive an answer. In The Register they indicate that after contacting the company, Meta has indicated that: “We are in conversations with Google to solve a possible communication error in relation to the application of their policies. When we are aware of the concerns, we have decided to pause the function while we work with Google to solve the problem.” What Yandex says. The Russian company has made comments about the problem. Speaking to Android Authority, they explain the following: “Yandex strictly meets the data protection standards and does not discourage user data. The function in question does not collect any sensitive information and its only objective is to improve the customization of our applications. After examining the problems … Read more

I had no idea how to execute a local AI and I just did it in five minutes with my Android. It has been a disaster

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The career of whom he manufactures The most capable smartphone It will not be alone in its components: AI has become an essential absolute To win this battle. Gemini He is the absolute protagonist, both in Android and in an iOS in which The presence of AI is insignificant. A complete and capable assistant, with the requirement of being permanently connected to the Internet. Google, Gemini’s mother, has decided Give 100% local models a chance in Android. Including those of its competitors. I, who had never executed a local AI on a PC, I have been able to achieve it on my phone in five minutes. 10 Google applications that could have triumphed Installing Google ai Edge Gallery Google has released an open source app so that any user can interact with multimodal AI models. It is completely free, has no publicity, and its only limitation is that it is not published in Google Play Store. You have to Download it from github. It is as easy as clicking on the link and downloading the file, which weighs 115 MB. Once you have downloaded it, click on it and install like any other app. Depending on the customization layer you use and the browser from which you download it, it is possible that the system asks for the occasional permission. Give it without fear, since it is a clean Google app. Once installed, the app will be in the application drawer or desktop of your phone, depending on your layer. Just open it and download the available models to start using it. Using the local AI in my Android This application allows you to use four predetermined models of the local AI: GEMMA-3N-E2B-IT-Int4 GEMMA-3N-E4B-IT-IN4 GEMMA3-1B-IT-Q4 Qwen2.5-1.5b-Instruct Q8 Each of these names is very likely to sound to Chinese, but there is a very simple summary. Gemma are the Google models, and the number behind “E2B, E4B, 1b”, refers to the parameter number of each model (2 billion, 4,000 million, 1,000 million). This means that, in order, Gemma 3 1b is the fastest, but more basic model, followed by E2B and with E4B to the head as the most complete. On the Qwen side, it is a Chinese model developed by Alibaba, with 1.5 billion parameters, and quite logical precision. These are the models that the app brings, but we can install models on our own. What I win and what I lose using the local The Google app is designed to execute three scenarios of use: Images questions: problem solving, identifying objects, etc. Prompt Lab for summaries, rewriting texts and code generation. Ai Chat: Multi -urnal conversations with AI The local AI is somewhat more limited in these scenarios of use, but in return it is more private. It runs 100% on your phone, without connection to servers. This minimizes response latency, something that I wanted to verify with a fairly simple test: the translation of a text not too extensive. “If the computing power on each chip continue to grow exponentially, Moore real Demanded Were Useful in Business Applications, Too. Defense Contractors Thought About Chips Mostly As a Product that Could Replace Older Electronics in All The Military Systems. “WHEN US DEFENSE SECRETARY ROBERT MCNAMARA REFORMED MILITARY PROCUREMENT TO CUT COSTS IN THE EARLY 1960S, CAUSING WHAT SUB IN THE ELECTRONICS INDUSTRY CALLED THE” MCNAMARA DEPRESSION, “FAIRCHILD’S VISION OF CHIPS FOR CIVILS SEEMED PRISON Off-The-Shelf Integrated Circuits for Civilian Customers Even Sold Products Below Manufacturing Cost, Hoping to convince more customers to trym. “ Chatgpt (4th): 5 seconds Deepseek: 19 seconds The local Google (Gemma 3 1b): has not understood the instruction. Google local (Gemma 3 E2b): 26 seconds. Google local (Gemma 3 E4b): 34 seconds. Google local (Qwen 2.5): 16 seconds. The results are quite irregularand that is that the app is in its initial stage. The main problem I have found is that sometimes it is difficult for him to execute the model, even in cases of light models such as Qwen. In a Samsung Galaxy S25 Ultra I had to restart the app on some occasion, since I did not execute the prompt. I have also wanted to prove how simple problems solve with the visual understanding of images, using the heavy model E4B of Gemma. It has also been quite disaster. In the first attempt I have asked him to solve all the problems. He has succeeded. In the second, I have asked him to solve only the first. He was wrong and, after telling him that it was wrong, he has err. Yes, he does a good job recognizing elements in the images, but it still has a hard time going further (Google just lets his Gemma models choose for these tasks). The conversational assistant works well, with its limitations, but well. It serves to talk and help us with any task that we can think of that you do not need a real -time search on the Internet. If you are especially jealous with your privacy, and want to execute the without any server connection, it is a relatively valid alternative. Google has this app as a test laboratory. At least for now it is not a real alternative, much less, to Gemini. Image | Xataka In Xataka | Artificial Intelligence on your PC: The best free tools to install models of AI as Deepseek, call, mistral, gemma and more

The great debate about whether iOS is safer than Android, myths and realities of ‘Breaking Bad’ and much more in 1×09 crossover

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Can anyone manufacture your own drugs How did it happen in ‘Breaking Bad’? To tell us about the myths and realities of that series and many other things, he has accompanied us In this 1×09 crossover A very special guest: Breaking Vlad. This well -known scientific disseminator is also an original content creator because of his way of talking about chemical experiments, and in the interview we have been able to do, he answers striking questions about the radiation of phones or about the future of hydrogen cars. Presented as sowing by Jaume Lahoz and Carlos Santa Engracia, in this episode the collaboration of Xataka serves to reactivate an old and controversial debate: If iOS is safer than Android. Both platforms have been really reliable for a long time, and perhaps the problem, as the interview reveals, is another. It is also necessary to separate that debate from another in which Apple does take advantage of Google. One thing is security – things are balanced – and another very different privacy, where Apple’s business model – which is not focused on advertising – allows the company to give more guarantees. In 1×09 crossover there is also a place to make a fun debate about false news that we have seen these days – a Chromecast with integrated Tinder? -, and as we always expect your comments and ideas to improve in upcoming episodes. Enjoy it! On YouTube | Crossover

We promised them happy with the 7,000mah batteries. But Android is still Android

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I have been able to try the Realme GT 7one of the first phones in the market (generalist, no gaming) with 7,000mAh battery. A full -fledged mobile with a battery whose duration is good, but not superlative. The point is that this is not the first time something like that happens to me. I have tried mobiles with 4,500mAh batteries that lasted a lot more than others with 5,000Mah. Mobile with 5,000MAH with completely disparate durations, and then we have Apple with a 4,600mAh battery that lasts more than some much larger. Not everything is the ability. Welcome is the ability. Between 7,000mah and 5,000mah I have it clear: big horse. A battery with greater nominal capacity, to equal optimization and consumption of the components, is a battery aimed at having a longer duration. A clear example is the Samsung Galaxy S25 Edge With its 3,900mah battery. Miracles do not exist and, with that capacity and the screen of a Galaxy S25+I was destined to have a battery that lasts little. Android is very Android. Android is a relatively free system, and this has as many advantages as inconvenience. There is nothing more efficient at an energy level than an AOSP ROM, based on “Pure Android” and with hardly any background processes. The issue is that manufacturers want to put their icing: customization layers. Although they provide added value, starting to build on Android is not simple, and adding both applications and extra processes, sometimes, does not work out. If a version is not optimized, it will devour resources, have the physical battery that the device has. There are even more elements. To the optimization that each manufacturer has to do in the system if you want the ROM to work well, you have to add that each phone element (screen, modem, Bluetooth, Wifi), has its associated controllers. A bad optimization or adjustment in the software that manages basic hardware elements can translate into triggered consumption. And, beyond optimization, hardware elements themselves can consume more or less. There are more or less efficient screens, there are more or less efficient processors, thermal management … The cocktail to create a mobile with a battery that lasts what must last is complex. The solutions. Sometimes, it is best to admit that there is no solution. If your mobile lasts little because milliamps are missing, there is no way out. In the opposite case, there is hope. If a telephone has a brutal battery, but it does not last enough, it is necessary to know the manufacturer to work in an update that solves it. It is not something, unfortunately, too common. But it is neither the first nor the last time that a phone does not work as fine in launch and, within a few weeks, it all starts stabilizing. In fact, this is not just an Android problem, although the system is more prone to these instabilities in the battery. I still remember The terrible battery of the iPhone 12 Pro. Yes, he had “only 2.815mah”, but the iPhone 13 pro lasted much more with 300mAh more. Super -healing problems, a total (health) capacity that touched 80% in just one year of use … Image | Xataka In Xataka | Save battery on your mobile: 28 things that increase their consumption on Android or iPhone and you can avoid

How to manually update Android Auto so as not to have to wait to have your latest version

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Let’s explain How to manually update Android Auto On your mobile not to wait to have your latest version. Thus, if when you look at your Android Auto Ves that you go several versions below the last launched, you will have a way to solve it. In Basics we are always telling you the novelties of each new version, but what happens is that then these versions take a long time to arrive, and the mobiles usually go several below. This is normal, but there is a fairly manual way to solve it. Manually update Android Auto To manually install Android Auto, you have to resort to file download Android APK. These files are those that allow you to install applications manually without resorting to the official Google application store, although it has risks in the case of downloading them from unknown pages, because they are often used to install malware. To be able to do this, you have to configure your mobile for allow you to install unknown sources files. This is deactivated by default to avoid malware installation by APK, but in the settings or even when you are going to install it you will have to change the configuration to accept them. There are several pages where you can download these files with the latest version of this operating system, being the most reliable APK Mirror. Specifically, you can enter Android Auto in Apkmirror and lower the latest version available. On this website you will have to choose between the ARM and ARM64 architectures, although if your mobile is currently almost certain that you need is the ARM64. Once the file is downloaded, you have to Install the APK on your Android manually and restart. In Xataka Basics | Delete cache on Android Auto: how is it done and what exactly this trick is for solving problems

Glasses connected with Android XR

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Google wants we all wear glasses. Not to correct a defect of our view, but to turn this accessory into the definitive complement of our smartphone. The advance of Android XR shown during its Google I/O 2025 event, and a future is emerging in which the connected glasses will go far beyond what the headphones or smart watches have gone. Two better than one. The launch of Vision Pro Apple in February last year caused an inevitable “Wow” effect. Months later we discovered that Google and Samsung had Together forces for launch Project Moohanaugmented reality glasses with an approach similar to Apple’s. Now that bet has been unfoldedbecause we will also have Google connected glasses that follow the line of the Meta Ray-Ban and go even further by integrating a small screen into one of the glasses. Android XR to power. The new Google operating system for this family of devices is Android XRa Android variant specifically designed to run in augmented reality glasses and connected glasses such as those mentioned. The interface is based on gestures and especially in the voice, and there seems to be any type of viewing system for the moment, as it happens in the pro vision. Gemini as a differential element. Gemini’s advance, Google’s generative model, is patent. It has been possible for months to talk with Gemini naturally and with each new version those conversations become not only more natural, but more useful. The yesterday demos with Project Astra They demonstrated it, and convert the voice and natural language into a crucial component for the success of the glasses. Here Google seems to go one step ahead of its competitors, both Apple and Meta, at least with the functions of AI included at this time. Experience is a degree. What we are seeing now is the result of more than a decade of Google work. The firm already tried to convince us to wear glasses years ago with The singular Google Glassbut that did not curdle. The ideas were good, but the implementation not so much. They caused as much fascination as disgustperhaps due to a format and design that failed in the essential: for better and for worse it was noticed that you were a user of such glasses. With Android XR the design wants to be totally traditional, as it is in the Ray-Ban Meta. Glasses are more versatile. There is another element that favors glasses as a product: they promise more varied use cases. They replace the headphones thanks to the integrated speakers, and provide more things than smart watches, which focus much more on physical activity and health for years. The glasses are in fact a form of get the motive less out of the pocket When you go down the street, and probably the evolution of technology will make us more and more. Going to a site, sending messages, receiving calls, asking questions about something we are seeing: all that we can do in one way or another with the mobile we can do it more directly, naturally and better with the glasses. Or that is the promise, at least. Goal is in the fight. Google connected glasses will still take time to arrive, but those mentioned Meta Ray-Ban They are currently the great reference in this segment. Mark Zuckerberg firmly believes in this product, and in fact provides that In 2030 we will almost not get the mobile out of the pocket Because we will do everything from the glasses and with the voice. Other great Chinese technology companies as Xiaomi or Baidu They seem to be as clear. And Apple, what? The technological jump proposed by the Apple Vision Pro is remarkable, but the cases of practical use are limited and the price is an obstacle too important for many users. That has made its success limited, but In Apple they seem to have a plan B. It would be to develop an affordable alternative of the pro vision that perhaps adopts the format of the finish line: more modest in benefits, but also much more suitable for using as the almighty complement iPhone. More competition. Google and Google have the front here, but it is clear that other manufacturers, such as the aforementioned Xiaomi and Baidu, will join this market to try to take a piece of that cake. Yesterday we learned that one of the first to offer these glasses connected to Android XR It will be Xrealwhich has long been offering remarkable products in this area. The advantage of the ecosystem. Here the hardware imports, without a doubt, but also the operating system used and of course the functions of AI that allow to interact with this wearable through the voice. Here Google has an advantage again thanks to its ecosystem (Android XR + Gemini), but we will certainly see proposals from other manufacturers. If everything goes as it seems, it is likely that in a few years More people wear glasses down the street. And not because they have vision problems. In Xataka | Musk, Gates, Zuckerberg and Altman believe that our mobiles have the days counted. Tim cook doesn’t have it so clear

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