Google

Gemini is fine. But the local AI that Google has just launched for mobile phones is amazing

by

At the end of last week, Google launched Gemma 4. Gemma is a family of generative AI models with a small footprint: models with effective parameters between 2B and 4B created primarily for deployment on mobile devices. Despite their size, they are dense models, and during the weekend the topic of conversation has been mainly this. How to install Gemma 4. You can install Gemma 4 so that it works offline on your phone, regardless of whether you have an internet connection or not. The installation process requires an additional app signed by Google: Google Edge Gallery. This open source app allows you to interact with AI models downloaded to your phone, without the need for an internet connection. And, since the launch of Gemma 4the model can run on mobile phones. Gemma 4 models are available in 4 parameter sizes: E2B, E4B, 31B and 26B A4B. The greater the number of parameters, the greater the capacity, but the more energy and memory is consumed. What does Gemma 4 do. Gemma 4, to date, is one of the best local smartphone models. According to Google, it surpasses the latest versions of DeepSeek, qwen and Kimi. We can use it as a chatbot (taking into account its limitations as it is not connected to the internet), ask it questions about any image we have in the gallery, as well as transcribe and translate audio. Because yes, now Google’s local models are compatible with audio and even real-time vision (if we give it camera permissions). In addition to these uses, it has its own skills: these allow us to use specialized functions to create interactive maps, perform local searches within tools such as Wikipedia, perform calculations, etc. For the average user, these models represent a gigantic pocket encyclopedia that does not require any type of connection. What advantages does it have?. The first advantage of using local models like Gemma 4 is the processing speed. There is no lag, the response is immediate, and it is surprising when we come from connected tools like ChatGPT, Gemini or Claude. The second is security: the model does not have an internet connection and the data does not leave your device. You can use them in airplane mode or in any area without coverage. Currently these models are not a replacement for large connected AIs, they are a perfect complement for situations in which we do not have a connection, and we want to continue having a model for very specific tasks. Why is it important. That Google is redoubling its efforts in local AI responds to several current and future demands. Running AI on servers is worth a fortune and is generating crisis like that of RAM. Winning in local alternatives is increasingly important. The war for open models is one in which it does not want to be left behind: Llama, Mistral, DeepSeek. Companies, governments and a small portion of users do not want (or cannot) send their data to external servers. Local models solve the problem. Google is doing its homework well with Gemini, but without connection the mobile phone is left without AI. Google’s commitment to Gemma and its implementation through its own app leaves certain clues about possible offline Gemini functions in the future. In Xataka | Having an AI on my phone that works without an Internet connection is more useful than I thought: this way you can start it

You can live without paying Google for more storage. The problem is not space, but Gmail

by

I know firsthand that the offers that Google launches for your One plan cheaper are attractive. Paying a couple of euros a month so that the company does not bother you with warnings that you have little storage left is perfectly valid and you immediately get 100 GB so you can use it however you want. However, although it may not seem like a big deal, it ends up being a small “phantom expense” that we can easily avoid if we change our spending habits a little. cloud storage. In the vast majority of cases, the main culprit that causes us to have consumed almost all of the 15 GB that Google makes available to us for free is email. And the good thing is that they exist ways to almost immediately empty our inbox and have that free storage back. Below these lines we indicate some recommendations that will help you. 10 GOOGLE APPS THAT COULD HAVE SUCCESSFUL The problem is in your inbox If you check what takes up the most space in your Google account, it is quite likely that you will be surprised: Gmail is usually the biggest storage hog. Other times, it is also Google Photos that gives the most trouble with this, but in the case of Gmail, emails with attachments accumulate for years, and most of them are perfectly expendable: automatic notifications, old invoices, newsletters that you never read, etc. If your work depends to a certain extent on being very aware of the email, as happens to me, you find thousands of emails of press releases, presentations and, in short, material that arrives, takes up space and you don’t open it again. The good thing is that Google gives you very specific tools to locate those emails that we do not need and delete them in bulk. Between that and some tips to filter your inbox, you will be able to empty a very important part of the free storage that Google gives you in a simple way. The starting point: Google’s storage manager Before you get to work with Gmail, there’s one place worth going first: Google’s storage manager, accessible directly from this website. You can also get to it by clicking on the storage tab in Drive and clicking on “Free up space”, an option included in the Drive, Photos or Gmail app. This page shows how much space you have occupied and offers two key sections: one with personalized suggestions to free up space (such as deleting spam emails, large files or heavy attachments, indicating how much can be gained in each case) and another with shortcuts to the specific management of Drive, Gmail and Google Photos. It’s a good way to get a general idea of ​​the picture before acting: at a glance you can see which service is consuming the most and where to start cleaning. How to find and delete what matters most in Gmail If you’ve noticed that Gmail is taking up quite a bit of your cloud storage, the next step is to take action. After having deleted the emails that the Google One system itself suggested in the previous step, you can continue on your own using advanced filters that Gmail offers you, going for the heaviest emails first. To do this you can start by writing in the Gmail search engine ‘larger:15MB‘ (without the quotes) and so you will see all the emails that exceed that size. You can adjust the number depending on what you want to find: larger:5MB, larger:10MBor whatever value you prefer. It is a quick way to identify the messages that take up the most space with minimal effort. It is one thing to identify them, and quite another to know if they are really important to you or not. Going one by one is a bit of a hassle, but for example it helps me a lot to know if the email is from a long time ago or not. That’s why I also use date filters. This way, if what you want is to go also old, the command before:YYYY/MM/DD shows messages sent or received before a certain date. You can even combine both commands to locate old and heavy emails at the same time. Another very practical option is to search directly by attachments. Wearing has:attachment larger:10M All emails with attachments larger than 10 MB appear in the search bar. If you want to tune more, filename:.pdf larger:5M specifically locates emails with PDF attachments that weigh more than that amount, and older_than:2y has:attachment Filter out those that have attachments and have been in your tray for more than two years. Attached files (photos, PDFs, videos, documents) are usually responsible for the storage filling up much faster than expected. Search your keywords Beyond the commands that Gmail offers you, you can also use searches that serve you personally. In my case, for example, when I have a long list of press releases that I have already read, I simply type ‘ndp’ or ‘press release’ in the search engine and I will easily have a whole long list of press releases waiting to be deleted. Then you just need to pull the trigger. Once you have identified all the emails you want to delete, click on the selection square in the upper left corner to mark them all, click on ‘Select all conversations that match this search‘ so you can mark them all and not just the first 50, and then pull the trigger. If you know exactly what you DON’T want to delete, you can move it to its own label or mark it as featured before mass deleting the rest. That way you don’t risk losing anything important. Don’t forget to empty the trash When you have identified and deleted all the emails, you will have to pay a visit to the trash. And the emails that you have deleted do not disappear immediately: they are sent to the trash, where stay for 30 … Read more

Google already knows how to break Bitcoin, but it doesn’t want to say it yet

by

“Quantum computers will represent a significant threat for current cryptographic standards.” These are the words of Google in a recent publication in which they seek to draw attention to some quantum frontiers They are closer than they seem. Because, if a few days ago They put a date on the post-quantum eranow they say they know how to break cryptography Bitcoin with the quantum computing. And it’s so crazy that they can intercept transactions before the blockchain I verified them. The PQC era. Google is very active with the topic of the quantum era. They have a team -Quantum AI- focused on researching this technology and how to protect themselves from it, and a few days ago they shared with the world an ambitious objective: all their systems will be prepared for the age of post-quantum cryptography by 2029. 10 GOOGLE APPS THAT COULD HAVE SUCCESSFUL This does not mean that in three years there will be quantum computers galore: it is a self-imposed deadline to migrate all its security systems to post-quantum cryptography systems or PQC, for its acronym in English. It is a superior security layer designed to resist quantum computer attacks and ensure that data such as keys and digital signatures remain encrypted for the long term. Because a current computer would take centuries to break those encryptions, but a quantum one would do it in a heartbeat. less than 10 minutes. But Google has not left it just a declaration of intent. In a study Prepared together with Stanford University, the Department of Computer Science at the University of Berkeley and the Ethereum Foundation, Google details that a quantum computer could derive the private key of a Bitcoin wallet in just nine minutes. They point out that breaking the security of these wallets would require 500,000 physical qubits, which is 20 times less than previous estimates of ten million. And it’s no longer that they breach security, but rather that the speed is so high that, in an estimated 41% of cases, they can intercept and redirect a transaction before the rest of the chain confirms it. Responsibility. In the statement, Google points out that it is its responsibility to lead this field to convey the urgency of accelerating this transition of large digital companies to the PQC era. The sooner this migration of security systems is achieved, the sooner the security of digital signatures will be guaranteed. But of course, if someone enters the studio hoping to find clues, Google has tied the dots together. They have not published the actual circuits and movements, but rather a simulation that allows the crypto community to verify the estimate without providing a manual for potential attackers. Additionally, they detail a long-term vulnerability whereby 6.9 million bitcoins stored in wallets whose keys have been leaked in security flaws are the most vulnerable to quantum attacks even outside the transaction window. Preparation with head. It’s clear that Google is spreading this to raise awareness, but the industry is also carrying years moving. Microsoft wants start with their migration by 2029, the European Commission is rushing to achieve it by 2030 and the US federal agencies they want do it in the 2030-2035 window. And the Bitcoin industry also has something to say. Justin Drake is a Bitcoin security researcher who qualified Google’s progress was “interesting” and commented that, although “there is at least a 10% chance that by 2032 a quantum computer will recover a secp256k1 ECDSA private key from an exposed public key, now is the time to start preparing.” We also seek to put our minds to the matter and not create baseless fear. Shiv Shankar is the CEO of Boundless and has commented that “there is no reason for panic” because “the smartest and brightest minds in the world are focusing on this problem” In Xataka | Superconducting quantum computers are being sabotaged. Fortunately, several Chinese scientists have found those responsible.

Everyone in Silicon Valley has sided with the Trump administration. Everyone except Google DeepMind’s chief scientist

by

The big technology companies have changed their political color and the leaders who once boasted diversity and inclusiontoday they position themselves alongside Trump and they even have dinner with him. In Silicon Valley, almost no one talks about politics, much less to criticize the president, no one except one man. Jeff Dean. He is the chief scientist of Google DeepMind and one of the few voices in Silicon Valley that has a critical stance towards the Trump government and most importantly: he says it in public. As they say in the Wall Street JournalDean often shares messages critical of the current administration in your X accountwhere he has almost 430,000 followers, and has strongly condemned acts like the murder of Alex Pretti at the hands of ICe agents in the Minnesota protests. Support Anthropic. Jeff Dean was one of 30 Google and OpenAI employees who signed the letter of support towards Anthropicafter it sued the Pentagon for declaring them “a risk to national security”. The judge who agreed with Anthropic and blocked the decisioncited this letter of support as part of the context of the case. Other companies like Microsoft They also took a stand in favor of Anthropic, but they did so through a spokesperson. The rarity. Positions like that of Jeff Dean, who openly criticizes the government and also does so in a personal capacity, would not have stood out a few years ago. In 2018 technology companies turned to the #MeToo movement and also supported the mobilizations of the ‘Black Lives Matter’ movement. This happened during Trump’s first term, but during his second, figures like Jeff Dean have become a rarity in Silicon Valley. The second mandate. Mark Zuckerberg, Jeff Bezos, Sam Altman, Sundar Pichai, Satya Nadella, Tim Cook… the support of the technological leaders was noted from the investiture ceremony itself, which was not only attended but They donated a million dollars each and, as a reward, saved billions in taxes. Companies began to take measures immediately, such as remove from Meta’s anti-fake-news system either dismantle diversity, equity and inclusion departments. The delicate line. That Donald Trump is a fairly volatile leader is nothing new. Making him angry is as easy as contradicting him and his reaction can be excessive, And if not, tell Anthropic. In this sense, the fear of the possible consequences of a disagreement plays a role in this submission, because let us not forget that the government is the one who dictates export-import regulations and can make their business much easier. In the end, what is happening in Silicon Valley It is not so different from the situation in China that is so criticized from the American side. In Xataka | The war between Anthropic and the Pentagon points to something terrifying: a new “Oppenheimer Moment” Image | Wikipedia

Google has made AI consume up to six times less memory. Micron, Samsung and SK Hynix are paying dearly

by

we carry months wrapped in the memory crisisbut maybe there is a way out. Last week Google Research published a study in which he revealed a technique called TurboQuant. This is a compression algorithm capable of compressing the working memory of AI models up to six times without appreciable loss of quality or performance. Great news for end users, who see a light at the end of the tunnel, but terrible news for manufacturers, who this golden age could end. Let’s explain what KV cache is.. To understand TurboQuant you have to understand what that memory is that it manages to compress. When a language model processes a long conversationyou need to remember the context. Each token that is processed is stored in the so-called KV cache, a type of working memory that grows as we chat. The longer the conversation, the more memory the model requires. Compressing what is a gerund. It is one of the main bottlenecks in the AI ​​inference stage (that is, when we use the models), and one of the reasons why data centers they need as much RAM or HBM memory. TurboQuant uses a vector quantization method to compress this cache while maintaining the precision of the model. Pied Piper. As soon as this Google study appeared, the analogies began with the plot of the series ‘Silicon Valley’. In it, the fictional startup in the plot managed to develop an extraordinarily efficient compression algorithm called Pied Piper that threatened to revolutionize the technology industry. These days, multiple references to the series appeared on social media, which had already been referred to as visionary for reflecting what is happening with spectacular accuracy even when the series was a comedy. Six times less memory. The Google Research paper states that this method is capable of reducing the KV cache six times without an appreciable difference in performance in long conversations. The researchers will present their results at an event next month and explain the two methods that allow it to be put into practice. If they confirm what they’ve already teased, the implications are huge: less memory for inference means data centers can do the same thing with much less hardware/memory. Google’s DeepSeek moment. The discovery has some analysts calling this Google’s “DeepSeek moment.” A year ago, the Chinese startup DeepSeek launched an AI model that competed with the best but had cost much less to develop. That shook the industry, and now we return to a technical achievement that points to the same thing. In AI, doing the same with less is crucial, given the enormous resources that this technology requires. There are those who already have done evidence preliminaries with TurboQuant and have confirmed that the method does indeed work. Micron, Samsung and SK Hynix pay dearly. The impact of this technique can be enormous, and this has already begun to be noticed in the stock market valuations of DRAM memory manufacturers and HBM. Companies like Micron, Samsung, SK Hynix, SanDisk and Kioxia fell noticeably last week from their recent highs. On March 18 it was around $471, and today its shares are at $357, a staggering 24.2% drop. The same has happened with the rest of the manufacturers, which were already falling since that date, but have accelerated that fall with the launch of TurboQuant. But. The technique can theoretically be applied only to the inference phase, but the training phase of AI models is not affected by this compression technique. Therefore, huge amounts of memory will still be needed during the training phase. Besides we will have to wait for AI companies to actually start applying said system if it is confirmed to work, and that will be when we can see the real impact. Theoretically this will give a lot of room for maneuver to big tech, which will be able to reduce token prices even further, but it remains to be seen if they do so. RAM memories drop in price. The impact of TurboQuant has also been clear in the prices of memory modules, which have dropped appreciably in price. For example, the Corsair Vengeance DDR5 32 GB 6000MHz (2x16GB) modules were at 489.59 euros on Amazon until a few weeks ago according to CamelCamelCamel, but right now they are at 339.89 euros, a notable discount. It is true that not all components are falling equally, but there are indeed cases in which reductions seem to be occurring. In Xataka | The RAM crisis is destroying all of Valve’s plans with its Steam Machine

How to create an application in Google AI Studio for free and easily

by

Let’s explain to you how to create a simple web application with Google AI Studio. It is a program with which you can create applications, websites, or other projects by writing the code with artificial intelligence. Come on, you tell him what you want and Gemini will generate the web application, also showing you the code. But there are some things you need to keep in mind, so we’ll start by telling you the risks involved in creating a webapp with AIespecially in terms of privacy if you are going to publish it. Then, we will tell you step by step how to proceed in a simple way. Before you start, dangers to be aware of Before we get into this, you should keep in mind that may not be a good idea create a web application using artificial intelligence, especially if you plan to publish it. It all depends on what you are going to use it for. To start, with Google AI Studio you will only build a skeleton of the web page or web application, pure HTML code without a secure and private database for each user you access. Therefore, without a login system, you run the risk of all data being exposed on a kind of public board. For example, imagine that you create a notes web application, and that you publish it on the Internet. So, everything you write can be read by othersand even other people will be able to add elements. This means that what Google AI Studio allows you to do are web application skeletonsa complete code that you will then have to fill out to add databases and records. It is best not to publish them. as generated by this tool. There is the possibility to ask the tool to generate an application with local memory to be saved in your browser. This will make it private by saving the data in the cache, although everything you type will be lost if you change browsers or when cache cleans are done. And the other big problem with creating a web application with an artificial intelligence tool is that there may be bad code that does not work wellso it is always advisable to review the code with knowledge and verify that everything does as it should. Use an AI to design the prompt Google AI Studio works with artificial intelligence, which means that you can describe what you want with natural language, and then it will translate it into an application. Therefore, you will only need one prompt. However, It will be more effective to use an AI to generate the prompt. It is like using an AI as a translator so that the idea you have in your head is reflected in a much more complete and complex prompt that you will then be able to review. For example, I have used Claude and I have explained to him what I want the application to have and the ideas for the design. When making the request I have specified that what I want is a prompt to make a web application in Google AI Studio. As a result, Claude has created me a multi-paragraph prompt in English, also including the color code I want it to use. In addition, he has thought of an interface to do it, and has designed the prompt explaining it so that Google AI Studio understands it. As a small noteremember that this AI has Claude’s Artifacts, which are like internal applications. Therefore, you will always be able to say something like “create an artifact from this prompt”, so you will be able to create an internal app and verify its style. This will not be the same as the one from Google AI Studio, but you can use it as a test. We start creating the application To start creating your application, enter Google AI Studio with the web aistudio.google.com. Once inside, click on the section Buildwhich is used to start creating an application. Now copy the prompt that we generated before and paste it in the writing field. I recommend that when you do it check the prompt in case there is anything in it that you want to change. Once you have it, click on the button Build to start the process. Now, Google AI Studio will generate your app. When it does, you will see that the screen is divided in two. On the left you have a part that is like a chat with the tool’s AI, and on the right the preview. Once you finish, you can test that everything works to your liking, and use the chat on the left to request changes and corrections. It is very important that you now take your time adding and changing elements in the application. Do it little by little, don’t be in a hurry and make short prompts with specific changes to progress progressively. With every prompt you type, Google AI Studio will remake the app. You can also ask the AI ​​that generated the app questions, and based on the answers to ask it to make changes. For example, you can ask him make sure the data is saved in the localStoragein the computer’s memory, so that they are not exposed on the network. You can also ask for more complex things, like helping you set up a system for signing in with your Google Account and saving your data to Google Drive. In this case, the AI ​​that you have on the side of the project will guide you step by step through what you have to do and giving you the credentials to do it. By default the tool will show you a preview of what you are creating. but you can click on the tab code to preview the internal code of the web application. You also have a download button to download the code and then be able to use it whenever you want. … Read more

Minimum prices on iPhone and Google Pixel, offers on TVs and more among the best deals from MediaMarkt and El Corte Inglés

by

During the last weekend of March, some stores have launched a good assortment of offers that have stood out both for their number and for their quality. For this same reason, in this article we are going to review the best offers from MediaMarkt and El Corte Inglés in technology that will be available throughout the weekend. iPhone 16 by 699 eurosone of the best current gateways to the Apple ecosystem. Marshall Major V by 84.15 eurosBluetooth headphones that according to the brand offer an autonomy of more than 100 hours. Google Pixel 9a by 419 eurosthe lowest price that MediaMarkt has had on this mobile to date. Xiaomi A Pro 2026 by 389 eurosa television that incorporates a 65-inch QLED screen. ZTE Nubia Flip 2 by 455.92 eurosone of the most economical folding phones that we can find. The price could vary. We earn commission from these links iPhone 16 Although the iPhone 17 was launched almost half a year ago, it was now that the iPhone 16 has reached a new all-time low price. By 699 eurosthe Apple mobile continues to be a good purchase option, especially for those people who want to make the leap to the Apple ecosystemfor those looking for a compact 6.1-inch mobile or for those looking for a very well balanced mobile. The price could vary. We earn commission from these links Marshall Major V More than 100 hours of use is what the brand promises with the Marshall Major Vheadphones that are on sale at El Corte Inglés for 84.15 euros. They maintain the brand’s striking retro design and the format of its previous generation, adding improvements in audio quality with dynamic drivers and a customizable button through the brand’s app. The price could vary. We earn commission from these links Google Pixel 9a Similar to what we have seen with the iPhone 16, the Google Pixel 9a has dropped in price with a new historical low in MediaMarkt, specifically in the 256 GB internal storage version. By 419 euroswe are talking about a mobile phone that performs very well thanks to its Google Tensor G4 processor, it has an excellent brightness on the screen and a good photographic section. The price could vary. We earn commission from these links Xiaomi A Pro 2026 If you were thinking of buying a good television ahead of the World Cup, be careful with what MediaMarkt has this weekend: a Xiaomi A Pro for alone 389 euros. And we say “only” because it comes with a 65-inch panel with QLED technology, as well as Google TV operating system, compatibility with HDR10+ and also with Dolby Audio. Xiaomi A Pro 2026 (65 inches) The price could vary. We earn commission from these links ZTE Nubia Flip 2 Folding mobile phones are expensive, sometimes very expensive, but there are exceptions that are usually found for much more competitive prices. We have the best example with the ZTE Nubia Flip 2a clamshell-type folding mobile with 6.9-inch foldable internal screen and 3-inch external screen. It does not stand out too much internally (its chip is the MediaTek Dimensity 7300X) and it comes with 6 GB of RAM, but for being foldable in El Corte Inglés it has a very reasonable price of 455.92 eurosalthough right now PcComponentes has it cheaper, for 419.99 euros. ZTE Nubia Flip 2 (256GB) 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, El Corte Inglés and Compradicción (header), Apple, Marshall, Google, Xiaomi, ZTE In Xataka | The best mobile phones, we have tested them and here are their analyzes In Xataka | Best televisions in quality price. Which one to buy and seven recommended 4K smart TVs

Google sets a date for “Q-Day”, when quantum computing will be able to break current cryptography sooner than expected

by

The arrival of the quantum computing brings us closer to an exciting horizon. It is a paradigm shift because, if classical computing is based on bits of 0 and 1, quantum computing uses qubits that can be in both states at the same time. Translation: if classical computing does operations one at a time, quantum computing does many at the same time. This opens up an ocean of possibilities, and will also allow any current encryption system to be broken. in a matter of seconds. Google has been around for a decade getting readyand has set a date for his arrival. 2029. PQC. It stands for post-quantum cryptography. It is a set of encryption algorithms designed to resist attacks by quantum computers and allow data that must be encrypted such as keys and digital signatures to remain so in the long term. Those complex mathematical algorithms designed to resist quantum attacks are designed to be implemented on classical computers. That is, it is not the hardware that is updated, but rather the security. Quantum cryptography is another approach, but also more experimental. It is the one that will use the full potential of quantum computing to achieve theoretically unbreakable security. The one that interests us at the moment is post-quantum, and it makes perfect sense because classical and the quantum They will coexist, and what is needed is to update encryption systems so that companies continue to have classic computers, but with security that resists quantum attacks. Q-Day. Companies have been preparing for this for a long time and, as we say, Google is one of them. Carry from 2016 investing in that post-quantum cryptography, migrating some key exchange systems for internal traffic to the post-quantum standard. A while ago they claimed that key exchange within Google services is now resistant to quantum computing by default. Proton also is in it. So as not to leave it there as a pending task that is never finished, they finish to mark a self-imposed deadline to complete the transition. By 2029 they will have to complete this migration of their security to PQC systems. In fact, on their blog, they have announced that Android 17 will integrate an algorithm that will provide quantum-resistant signatures to protect the integrity of boot software. It is a way of saying “hey, we are already preparing,” but basically what there is is a commitment to that security for a time that is near. And it won’t just be the boot system: applications will be able to generate and verify post-quantum signatures within the devices’ secure hardware, and Google Play itself will also begin generating secure keys for applications that choose to participate in the program during the launch cycle of the new system. The industry prepares. Aside from the announcement, the company urged the rest of the technology industry and governments to step up to accelerate the adoption of these more resistant encryption systems. And, although Google has been saying “the wolf is coming” for several years, they are not the only ones. Microsoft wants to start migrating its systems by 2029, culminating in 2033. US federal agencies also want do it for the 2030-2035 window and the European Commission has urged member states to make critical infrastructure resilient by the end of 2030. With this movement, Google has set a date that seems ambitious and is a declaration of intentions. “It is our responsibility to set an example and share an ambitious schedule,” says Google. It is also evident that as a digital infrastructure provider, offering a post-quantum security system before anyone else gives you a competitive advantage because if someone doesn’t arrive on time, they could always buy your services. Companies like Telefónica are also working on it, but when we talk to them They did not give us an indicative date. What they did comment is that they are beginning to see that there are parts of the industry that are becoming interested in their post-quantum cryptography services. Don’t panic. that the arrival of quantum computing represents a headache for everything that is encrypted (blockchain and cryptocurrencies, banking data and transactions and even messaging apps) does not mean that we have to panic. A few months ago, Keith Martin, professor in the Information Security Group at the University of London, commented that, although the threat is realresearchers have been working for years and most of the theoretical work is done. When cryptographically relevant quantum computers appear, the protection technologies will already be ready and we will not have to worry about anything. In fact, at the user level… we can do little. We are not going to be the ones who have a quantum computer at home to be able to encrypt our information. Basically, as I said a few lines ago, it is Google saying “get ready because this is going to come and, as an industry, we have to prepare.” And they have already set a date. There’s not much left… Image | Xataka In Xataka | Putin compared the quantum race to the nuclear race of the Cold War. China has just taken a leap in that war of the future

The new Siri will not be Gemini with another face. Apple has helped Google to build what it could not do alone

by

The new Siri, according to rumors, was going to land with iOS 26.4. This version arrived on compatible iPhones yesterday and, to no one’s surprise, there is no trace of Gurman’s prediction. What we have woken up with is new details about the agreement between Google and Apple related to access to Gemini. And there are interesting details. The agreement. Quick context: Apple and Google have teamed up to give Apple access to Gemini. The company has been promising for years that Siri, integrated into Apple Intelligence, will be an assistant that lives up to expectations. But after delays and more delays, it became clear that Apple needed help. The multi-year collaboration allowed Apple Foundation Models to rely on Gemini models, running on the platform Private Cloud Computing from Apple. Beyond this, no details about the agreement were revealed. The new. According to The Informationthe collaboration between Apple and Google will be somewhat deeper than expected. So much so that Apple would have full access to the Gemini model within its facilities. One of the company’s main purposes would be to produce smaller models designed to run locally and oriented to specific tasks within Apple devices. Distillation. Apple would not have agreed with Google to access Gemini with an integrated Siri interface. The objective is to use the main model to “distill” more efficient models, with lower requirements and fast operation. In other words and based on this information, Apple has made clear Google’s superiority in its AI models. So much so that he has needed to access them directly to be able to create the solutions that he has been promising for two years. What’s coming. According to Gurman, Apple is finalizing the changes to Siri to present it on June 8 at its WWDC, the developer conference it holds annually. In it, we will supposedly see Siri as a chatbot integrated into iPhone and Mac, as a real alternative to ChatGPT, Claude and Gemini. Late, very late. Apple’s problem is not being late with AI. It is coming at a time when giants like Claude iterate practically daily and when it is more than difficult to surprise the world. All the promises of Apple Intelligence, that contextual Siri, and that deep integration with the phone are already achieved by some of its rivals, since Apple has been waiting for two years. The big question is whether or not it will be worth the wait. In Xataka | Apple confirms the date of WWDC26 and hints at something important: AI will not be the only focus

This is the US city that does not exist on Google Street View

by

Of the more than 9.8 billion square kilometers of the United States, only a small area of ​​just over 22 square kilometers does not appear in Google Street View. Welcome to North Oaks, where the streets are private property and no, we are not talking about the typical gated community, but rather open streets, although with a big ‘but’. North Oaks. Located northwest of Minneapolis, North Oaks is a small residential town with a population of 5,212 inhabitantsthe vast majority upper class. The average household income is more than $230,000 per year, which places it between the richest cities in the entire country. In North Oaks there is no barrier that prevents access to people who do not reside there, but if you access you are committing trespass. How is it possible? There are signs like this at every entrance to North Oaks. Everything is private property. In North Oaks, homeowners not only own their plot, but the property extends to half the road (the other half is owned by the neighbor across the street). This means that there is hardly any public land, but everything is private property and is managed by the homeowners association or NOHOA. The streets of North Oaks are open, but they are lined with “no trespassing” signs and there are automatic license plate readers at the entrances. The unmappable city. In 2008, North Oaks could normally be visited via Google Street View. However, the homeowners association threatened Google with a lawsuit because his Street View cars had trespassed on his property. As a consequence, Google removed all the images and it remained that way for years, until someone tried to map it again with a curious trick. Remapping North Oaks. They count in 404media that a couple of months ago Chris Parr, documentary filmmakerit was proposed to correct this anomaly. The streets are private property, but in the sky this rule does not apply, so armed with a drone and a 360 camera, he dedicated himself to photographing all the streets, as shown in your video on YouTube. For a few days, North Oaks was back on the map, but it suddenly disappeared and Parr received a letter from a law firm on behalf of NOHOA basically telling him to never come back. Image | Google Maps In Xataka | The rich neighborhoods of Madrid and Barcelona have changed their accent: millionaires from the US and Mexico invest their fortunes in Spain

Log In

Forgot password?

Forgot password?

Enter your account data and we will send you a link to reset your password.

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

Here you'll find all collections you've created before.