Meta and Google talk about nuclear fusion for the future; The short-term reality is that they are pulling natural gas

Silicon Valley has an undeniable gift for selling the future. If one listens to the great technological leaders, Artificial Intelligence will soon be powered by energy sources worthy of a science fiction novel. Goal just signed an agreement to obtain solar energy directly from satellites in space, while figures such as Sam Altman, CEO of OpenAI, They assure that nuclear fusion It is the great “silver bullet” that will save the sector. However, it is enough to look down from the stars to the earth to find a much smokier reality. To feed the insatiable “energy monster” that AI has unleashed, big technology companies are turning to the technology of the past. As explained from Axiosthe race to dominate artificial intelligence is accelerating at such a dizzying pace that the industry’s ambitious climate goals are taking a discreet backseat. Today, the world’s most sophisticated cloud is being built on a foundation of fossil fuels. The numbers speak for themselves. Far from nuclear fusion laboratories, the actual infrastructure being built in the United States tells a story based on natural gas. Meta’s case is perhaps the most graphic, as detailed in Bloomberg, US utility Entergy Corp. has had to increase its capital spending plan by almost a third, reaching $57 billion, to build 10 new natural gas plants dedicated exclusively to powering the new data campus Hyperion of Meta in Louisiana. This gigantic complex will require more than 7 gigawatts of power, the equivalent of the output of seven large nuclear reactors. Google, the historic champion of clean energy, is not far behind either. An investigation by the market intelligence firm Cleanview has brought to light Google’s partnership with the company Crusoe Energy to develop a huge data center in Texas named “good night“. The project includes a 933-megawatt gas plant built outside the traditional electrical grid. The end of the green utopia? The environmental impact of this installation is not minor, how to explain Guardianthe plant will emit up to 4.5 million tons of carbon dioxide per year. To put it in perspective, this exceeds the annual emissions of the entire city of San Francisco or is equivalent to putting 970,000 additional gasoline cars on the roads. Given this, Google’s official position is cautious. Chrissy Moy, company spokesperson, does not deny the project before the mediaalthough it clarifies that, although they are linked to the campus, they still “do not have a contract in force” to acquire energy from said gas plant. How have they developed in oil pricethe origin of this sudden gas rush is that data centers are putting local power grids under unprecedented pressure, causing consumers to bear the cost of this increased energy competition. To overcome the slow expansions of the public network and the endless waiting lists for permits, Wired points out that data center developers They are choosing to generate their own energy “behind the meter” (off-grid). And in that fast and private strategy, gas is king. Their green mask falls off. This is a serious blow to Silicon Valley’s green image. As you remember GuardianGoogle was once a pioneer in promising net zero emissions by 2030. However, the company itself has had to admit that its carbon emissions have increased by 48% in the last five years due to data centers. Now, those environmental objectives have been internally downgraded to the category of climate moonshots (speculative projects very difficult to achieve). The underlying problem is purely physical. As he reflects Impakterenergy—not chip shortages—is emerging as the real bottleneck for AI. Traditional renewable sources are intermittent, and large language models require devouring electricity 24 hours a day. A systemic problem that is already raising blisters in Washington. The return to natural gas is not an isolated anecdote of a couple of companies. There are currently about 100 gigawatts of gas-fired power in development in the United States destined for data centers alone. Microsoft just signed a deal with oil giant Chevron in Texas, and permits for OpenAI’s Project Jupiter in New Mexico suggest it could emit up to 14 million tons of greenhouse gases annually (triple that of Google’s project). Faced with this fossil avalanche, Democratic senators such as Whitehouse, Van Hollen and Heinrich have sent letters demanding formal explanations from leaders of Meta and OpenAI for putting the country’s climate commitments at risk. The industry defends itself by arguing that it is a necessary evil. Cully Cavness, president of Crusoe, explained that natural gas it is a critical “bridge” and the only power source available today capable of scaling at the pace AI demands. Next-generation clean alternatives will take decades. Meta’s promising agreement to receive solar energy from space will not have a pilot satellite until 2028and its commercial viability is not expected, at best, until the 2030s or 2040s. The same happens with commercial fusion reactors: they will not dump a single watt into the grid well into the next decade. The great paradox of AI. Business magazines celebrate the financial success of this revolution. In their profiles of the most influential companies, TIME relates how Google, under Sundar Pichai, has reached a $4 trillion market value driven by its advances in AI, while Mark Zuckerberg celebrates record ad revenue on Meta by promising systems that will soon “understand the unique personal goals” of each user. Silicon Valley promises that this same Artificial Intelligence will one day help us solve humanity’s great challenges, including climate change itself. But the current paradox is inescapable: in the real world of 2026, to train the most brilliant and avant-garde artificial mind ever created, human beings still inevitably need to set natural gas on fire. Image | Photo by Tasos Mansour on Unsplash Xataka | Solving the mystery of the red balls on high-voltage cables: a simple way to save lives

Google has given them permission to use their AI in classified operations

Google has given the Pentagon permission to use its AI models in classified military operations, thus joining OpenAI and xAI that They had already signed similar contracts previously. The AI ​​majors are joining the US military apparatus. Anthropic is left alone. what has happened. Google signed an agreement with the defense department last year worth 200 million dollars. This contract allowed the use of Google Cloud infrastructure and AI tools. The news now is that Google has given permission for the Pentagon to use the firm’s AI models in classified systems, for “any legitimate government purpose,” according to the New York Times. Why it is important. Google’s decision to allow the Pentagon to use its technology contrasts with the case of Anthropic, that ended up being blacklisted for refusing to eliminate safeguards against autonomous weapons and domestic surveillance. This set a precedent: accept the conditions or be excluded from the government market. Opacity. Speaking to the New York Times, a Google spokeswoman said the company remains committed “that AI should not be used for domestic mass surveillance or autonomous weaponry without appropriate human oversight.” However, they have not given specific details of the agreement and the fact that it will be used in “classified work” makes us wonder if Google really maintains some control or if it is simply an empty statement. Employees against. At least 560 Google employees have signed an open letter to its CEO, Sundar Pichai, in which they ask him to reject the agreement. Employees argue that AI should be in the service of humanity, not for military purposes that include lethal autonomous weapons and mass surveillance. “The only way to ensure that Google is not associated with such damages is to reject any classified workloads. Otherwise, such uses could occur without our knowledge or ability to prevent them.” New principles. Internal resistance at Google to the use of AI in military contexts is something that has been going on for a long time. In 2018, several employees resigned in protest to Google’s participation in Project Maven, the military program that used AI to identify people and objects to improve drone attacks. Google ended up leaving the project and pledged not to work on AI for weapons, but in 2025 that clause disappeared from its AI principles. Things have changed radically: today, big tech is more aligned with the US military than ever before. Image | Xataka In Xataka | Anthropic faced a long winter on the US “blacklist”: justice has saved it on the horn

Google says that 75% of its new code already comes from machines

What if much of the software we use every day was already beginning to be written in a different way? AI has been entering programming for some time through the door of the assistants, code suggestions and small automations, but what is beginning to be seen now goes much further. The question is no longer just whether these systems help to write faster, but what happens when a large technology company decides to rely on them systematically. Google has given a pretty clear clue as to where that transition is going. Google’s jump. The figure was put on the table by Sundar Pichai in a blog post linked to Cloud Next 2026. According to Google’s CEO, the company has been using AI to generate code internally for some time and today 75% of all new code is already generated by AI and approved by engineers. The jump is not minor: last fall, that percentage was 50%. In just a few months, Google has gone from already very high usage to placing AI at the center of much of its software production. Precision matters. That nuance is not minor: generated by AI does not mean accepted without human control. Pichai talks about code generated by these systems, but also approved by engineers, a necessary difference to not oversize the data. Richard Seroter, Senior Director, Google Cloud, He explained it to Fast Company noting that that human approval is “fundamental in this area.” Google’s reading is that AI can take on an increasing part of production, but within a flow in which engineers continue to validate, correct and make decisions. Sundar Pichai, CEO of Google Google’s internal turn. Pichai did not present this advance as a simple productivity improvement, but as part of a shift towards “truly agentive” workflows. As he explained, Google engineers are orchestrating autonomous digital teams, launching agents to complete tasks that previously depended much more on direct human work. The example he cited helps measure the scope of that transition: A complex code migration, performed by agents and engineers, was completed six times faster than was possible just a year ago with engineers working alone. The engineer changes places. Google’s thesis is not that the programmer disappears, but that their work is displaced. Seroter explained to Fast Company that, with this new distribution of tasks, engineers can focus on higher-value tasks: systems architecture, design and solving complex problems. In this new distribution, manual code writing loses part of its weight and the ability to direct, review and convert those pieces into real products gains importance. The contrast with the rest of the sector. A Sonar survey from earlier this year notes that 96% of developers acknowledge that they do not fully trust AI-generated code, and that 52% do not always review it for errors before incorporating it. At the same time, the weight of these tools is growing very quickly: the code generated by AI would have gone from 6% in 2023 to 42% in the latest report, with a forecast of 65% for 2027. So we have reasons to say that adoption is ahead of trust. Images | Xataka with Grok | Stanford Graduate School of Business In Xataka | A young man has solved a mathematical problem that lasted 60 years in 80 minutes with ChatGPT. That’s the least interesting thing about the story.

Google will invest up to $40 billion in Anthropic because the new normal for AI is investing in your enemy

May the rhythm not stop. Amazon announced an investment of 25,000 million in Anthropic a week ago, and four days later Google went even further. The Mountain View Company spoke on Friday of an investment of up to $40 billion in that same company. We insist: this is non-stop. The money doesn’t stop flowing. In less than a week, two of the largest “cloud providers” in the world have committed to investing up to $65 billion in a company that, attention, is a direct competitor in the AI ​​segment. None have done it out of generosity, and here there is a lot of covering one’s back and, of course, circular financing. This is the Google agreement. Google will invest $10 billion now considering that Anthropic’s valuation is between $350 billion and $380 billion. From there, it can invest another $30 billion linked to company performance milestones that have not been detailed. What Google gains. In exchange for that investment, Google Cloud will provide an additional 5 GW of computing capacity from 2027, expanding the agreement that Anthropic had already announced with Google and Broadcom to contract 3.5 GW of computing in the form of access to their TPUs. Google already invested 300 million dollars in Anthropic in 2023, but months later he put it on the table another 2,000 million more and in 2025 another 1,000. Anthropic is already worth a fortune. It is estimated that before this agreement its participation in Anthropic was around 14%, and with this new agreement that participation will evidently increase. Anthropic’s valuation has grown dramatically in recent months, and according to Bloomberg There are offers for a new investment round that would place its value at 800,000 million dollars, already at the level of the 850,000 million valuation that OpenAI is around. Its growth is overwhelming, and it is clear that today She is the pretty girl of the industry. No one could wait. The speed with which these announcements have occurred is motivated in part by the competitive fear between Amazon and Google. Anthropic uses Trainium chips from Amazon and TPUs from Google: it needs both and they both know it. Every dollar those companies put into Anthropic is a business case for Claude’s clients to use AWS or Google Cloud, so it makes sense that both want to solidify that “preferential relationship” with the company that is conquering the enterprise market. The circular financing model as a standard. This week’s agreements consolidate what many already consider as the new normal sector: hyperscalers invest in AI startups, and AI startups spend that money on the infrastructure of those hyperscalers. For example: Google Cloud grew 36% in revenue last year to $58.7 billion and Anthropic was most likely one of its heavy clients. The money Google invests in Anthropic comes back in the form of invoices, and the same goes for Amazon and Trainium. But the investment has another reason. These investment agreements not only seek to strengthen ties with the most promising AI startup of the moment, but also have a significant stake in its shareholders. That’s even more striking, because both OpenAI and Anthropic They hope to go public before the end of the year and if so, Google and Amazon will have “bought cheap” their stake in a startup that is expected to skyrocket exceptionally once it becomes a public company. Once again, this is a bet for the future. But there is also the other big reason: the majority of investors (be they funds or companies) do not want to be left behind in this race and are betting because everyone else is doing it too. It doesn’t matter that AI companies are losing money non-stop: the promise is that there will come a time (2029 or 2030) in which the trend will change. It is not certain that this will happen, of course, but OpenAI or Anthropic play with that card and use it to their advantage. We have the last example in Mythos, an Anthropic model that it’s so good (or so they say and some others) who prefer not to make it public. It’s once again selling expectations… and it works. In Xataka | DeepSeek has just released a model that competes with Opus 4.6. It costs seven times less and runs on Chinese chips

in DeepMind they use Claude, the rest of Google engineers want to and cannot

Things are hectic at Google. In recent months, some DeepMind engineers have had access to Claude Code and Anthropic models, but in many other parts of the company this tool, which is currently considered the best on the market, has been banned. This has caused strong internal tensions in the company, and is also a sign of something worrying: Google’s AI cannot compete with Anthropic’s at the moment. what has happened. Steve Yegge is a software industry veteran who worked for years at Google. Last week posted a viral tweet in which he explained that after speaking with a current manager, he was concerned about the adoption of AI tools in this company. “The bottom line is that Google engineers have about the same adoption of AI as John Deere, the tractor company,” he said. Or what is the same: one of the most cutting-edge technology companies in the world was being anything but cutting-edge in its use of AI. Demis Hassabis gets angry (and a lot). Recent Nobel laureate Demis Hassabis, head of DeepMind, criticized Yegge’s tweet and told him to stop spreading nonsense. “This publication is totally false and is simply clickbait,” he said. Yegge returns to the fray. The engineer spoke in the following days with more current Google employees and discovered more things that he told in another long tweet. According to their conversations, the internal adoption of AI at Google follows a conventional pattern: 20% reject it, 60% use it in a basic way, and 20% take advantage of it intensively. Either you let me use Claude Code or I’m out of here.. But there was something else: some engineers are prohibited from using Claude Code because it is a competing product, but the vast majority do not have access to those tools because the company wants them to use Google’s tools — that is, the Gemini models in Gemini CLI, its alternative to Claude Code. According to Yeggewhen they tried to force DeepMind engineers to stop using Claude Code and Anthropic models, they refused to stop using the tool and threatened to leave the company. Internal sources of the company confirmed the data published by Yegge in a published news on Business Insider. Sergey Brin gets going. This week, The Information public that Sergey Brin has sent an internal memo to DeepMind engineers and researchers and confirms what was already being said. “To win the final sprint, we must urgently close the gap in agentic execution and turn our models into world-class developers,” the Google co-founder wrote. According to this data, an “assault team” has been created with the direct participation of Brin himself and DeepMind’s CTO, Koray Kavukcuoglu. That statement makes it clear that Gemini is below Claude in capabilities, because otherwise there would be no talk of “closing the gap.” Google and fragmentation. It’s not just that Claude Opus and Claude Code are now better than Gemini and Gemini CLI. Es que además esto ha dejado claro que en empresas tan grandes como Google la fragmentación operativa puede llegar a ser un problema grave. That some can use something that others cannot, and that worse tools are forced just because they are their own, can end up generating internal tensions, as has happened. That is what Google now seems to want to remedy so that all its employees row together. Another victory for Anthropic. All this controversy does nothing but favor Anthopic, which has managed to take the lead in this race – rather marathon – of AI. That the engineers at the prestigious DeepMind prefer their AI platform to Google’s own is an unequivocal sign that today Anthropic is ahead for AI experts. Image | Alex Dudar In Xataka | The tech industry is spending billions of dollars on GPUs for AI. 95% are inactive

This European alternative to Google Drive is 87% off

There are many users who seek to depend less on large US companies. A few years ago it was more complicated, but today we have European alternatives that are safe, of quality and even with quite attractive prices. Looking for cloud storage? That’s where Internxt fits in, a company of Spanish origin that currently has 87% discount on all plans: 1 TB of storage comes out 16 euros per year. 1 TB of cloud storage (annual subscription) The price could vary. We earn commission from these links Cloud storage, yes. With VPN and antivirus, too Let’s do the math quickly. Internxt’s cheapest plan, which is called Essential and includes 1 TB of cloud storage, It normally has a price of 120 euros per year. It is a real discount, but, beyond the cloud, it even includes VPN and antivirus. This discount also extends to the lifetime plan, which costs 247 euros. Beyond the savings (which it has), the best thing is that you pay once and forget about price increases. Why choose Internxt? Beyond being a European alternative to Google Drive or iCloud, this cloud service uses what is known as ‘Zero-Knowledge’ and end-to-end encryption. This, simply explained, means that your files are encrypted before being uploaded to the cloud, so no one can access them (not even Internxt itself). Both when they are already stored and when they are being uploaded. Two more details to take into account. Internxt is from open sourcemeaning your service is transparent because anyone can audit your code. In addition, it has a 30-day money back guarantee, so if you are not convinced by what it offers, you can request a refund without problems within that period of time. As we said above, all Internxt plans are 87% off right now. We leave you below, as a summary, what they offer and the price they have right now: Premium Plan: 3 TB of storage, VPN, antivirus and cleaner per 31 euros per year (or 377 euros lifelong). Ultimate Plan: 5 TB of storage, VPN, antivirus, cleaner and meet per 47 euros per year (or 507 euros lifelong). 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 | Internxt In Xataka | Best VPNs 2025: guide with the 17 best services to protect your online privacy In Xataka | Google Drive alternatives: the best cloud storage services for your files

from the Google Pixel 10 at a minimum price to a speaker with more than 40% discount

If you are looking to renew your technological devices, Amazon is one of those online stores where you can find good deals. Additionally, this week he is celebrating his Tech Weeka campaign in which, in addition to its usual offers, more can be found over the next seven days. These are the best bargains what we have found in amazon today, April 22. The price could vary. We earn commission from these links smartphone Google Pixel 10 by 649 euros: 256 GB and with triple rear camera. Vertical mouse Logitech Lift by 44.99 euros: for right and left handed people and up to two years of autonomy. WiFi repeater Fritz!Repeater 6000 by 169.99 euros– Compatible with WiFi 6 and low power consumption. Notebook computer Lenovo Thinkpad E14 Gen 5 by 716.10 euros: 14 inches and with Windows 11 Pro. Bluetooth speaker Soundcore Motion 300 by 49.99 euros: 30 W and with 13 hours of autonomy. Google Pixel 10 smartphone Google’s flagship, the Pixel 10is back at its minimum price on Amazon: 649 euros in his version of 256GBbeing a good opportunity to get this smartphone with which to enjoy a pure Android experience. This Google mobile has a 6.3 inch screen It fits in any pocket and can be easily handled. Its processor is the Tensor G5 (which offers more than decent performance) and its triple camera photography system (48+13+10.8 MP) is another of its hallmarks. The price could vary. We earn commission from these links Logitech Lift Vertical Mouse If you spend hours and hours working in front of the computer, you have surely suffered from wrist pain at some point. The vertical mice They are a good peripheral to stop them and this Logitech Lift It is now discounted on Amazon. It has gone from costing 81.99 to 44.99 euros. This Logitech Lift is a mouse available for both right and left handed users. It runs on two AA batteries and offers a autonomy of up to two years. You can set it up with Windows and Mac and pair it with up to three devices at once. Logitech Lift Ergonomic Vertical Mouse The price could vary. We earn commission from these links Fritz!Repeater 6000 WiFi Repeater This Fritz!Repeater 6000 is not just another repeater, but one that experts often recommend. when the WiFi doesn’t reach some corner from your home or suffer microcuts in the connection. Now it is on sale and you can get it with a 35% discount, for 169.99 euros. One of the most notable things about this repeater is its compatibility with Wi-Fi 6to offer you greater speed and much better management of multiple devices connected at the same time. Another notable thing is its minimum consumptionsince it is very energy efficient, something that is appreciated in a device that is on 24 hours a day. Fritz!Repeater 6000 International – Wi-Fi 6 Repeater/Extender The price could vary. We earn commission from these links Lenovo Thinkpad E14 Gen 5 Laptop If you are thinking of renewing your laptop or buying one to be able to work during your trips, for example, this Lenovo Thinkpad E14 Gen 5 It is a compact one that is now at a good price. Normally it costs 999 euros, but now you can get it for 716.10 euros. This portable Lenovo has 14 inch WUXGA display and its brain is the Intel Core i5-1335U processor, accompanied by 8 GB RAM and 256 GB of SSD storage. It comes with Windows 11 Pro and Intel Iris Xe graphics. Lenovo Thinkpad E14 Gen 5 – 14″ WUXGA Laptop The price could vary. We earn commission from these links Soundcore Motion 300 Bluetooth Speaker Now that the good weather is approaching, Bluetooth speakers They are those types of devices that become essential for outdoor evenings with friends and family. This Soundcore Motion 300 is now discounted on Amazon. Its recommended price is 89.99 euros and now it has a 44% discountso you can buy it for 49.99 euros. The power offered by this speaker is 30 W and it has technology SmartTunean adaptive technology that automatically adjusts to the direction and orientation of the speaker to deliver immersive sound. Its battery offers up to 13 hours of autonomy and has IPX7 water resistance. Soundcore Motion 300 Powerful Bluetooth Speaker by BassUp 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 | Pepu Ricca (Xataka), Soundcore, Lenovo, Fritz!, Logitech and Google In Xataka | Best televisions in quality price. Which one to buy and seven recommended 4K smart TVs In Xataka | Best sound bars in quality price. Which one to buy and seven recommended models from 140 euros

How to measure the distance between two points in Google Maps on PC and mobile

Let’s explain to you how to measure distances in Google Mapsso that you can have better references of how far away the points that interest you are. It is not about measuring distances on roads or paths, for that you can make routes on Google Mapsbut to draw a line between two points and know their physical distance. You will be able to do this to measure streets, roads, or anything you want on the map. A virtual ruler will be generated telling you the distance. We are going to teach you how to do both on the Google Maps website and in the application. Measure distances on the Google Maps website If you are using the Google Maps website, you have to do right click on one of the points of the measurement you want to make. This will open a context menu, where you have to click on the option measure distance that will appear at the bottom. Now all you have to do is click on another point on the map. Come on, you right click on the starting point, and then when you choose the option, click on the final click. This will generate a ruler that will show you the distance between these two points. Now you can continue marking new points that will be joined with the previous ones, and you will be able to see the distance between each of the points. Besides, At the bottom you have a local distance indicator which will tell you the total of the sum of all the distances. Measure distances in the Google Maps app Distance measurement is different in the Google Maps app, since it only shows you the total distance and not point by point. But the way to do it is quite similar. The first thing you have to do is click with your finger on the place on the map that you want to be the starting point. This will open a menu with many options, and in it you must click on the option measure distance that you will have inside at the bottom. Now, there will be an aiming point in the center of the screen, and with your fingers you will have to move until you go pointing to where you want to add new points. When you do, click on the button Add pointand everything will stay the same so you can add new points. At the end, you also have an indicator at the bottom left where it will tell you the total distance that all the points add up. In Xataka Basics | Google Maps: 45 functions and tricks to get the most out of both your website and your mobile app

Meta will surpass Google in digital advertising for the first time in history

That Google is the queen of online advertising is one of the great constants of the Internet, but everything indicates that the reign is approaching its end. If the predictions come true, for the first time in history, Meta will be the company that generates the most advertising revenue. Projections. At the moment the surprise has not occurred, but the projections of the advertising analysis firm Emarketer are clear: Meta is going to snatch the throne of online advertising from Google in 2026. Specifically, they project that Meta will earn 243.46 billion dollars from advertising, while Google will earn 239.54 billion. Why is it important. Google’s dominance in the online advertising market was absolute. In fact, that domain has been in the regulators’ crosshairs for years and It has become very expensive for Google. Meta’s surprise, although not by a huge difference, is confirmation that the internet has been reconfigured with social networks and that the cake is much more distributed. Considering that Google has built its empire on the foundation of online advertising, it is even more relevant. The Meta Boost: AI. Meta has a portfolio of products with millions of users such as Instagram, Facebook, Threads and WhatsApp. According to Emarketer, the company has been “incredibly patient” in building solid usage habits in its user base before introducing ads. But what has caused this acceleration has been the integration of AI in content recommendation systems. This has allowed them to increase the viewing time of Reels by 30%, which translates into more advertising and therefore more income, specifically they are expected to reach the 50,000 million only with Reels. Goal Advantage+. It is the suite with AI that Meta offers advertisers. In addition to offering the platform to advertise, Meta also provides a ton of tools ranging from advertising actions to the creation of the ads themselves with generative audio, text and video AI. According to the brand’s results, revenue from video generation reached $10 billion in the last quarter of 2025. It was seen coming. It is not something that happened overnight, but rather The change has been in the works for years.. The displacement of searches was moving to other specialized platforms such as Amazon, Instagram or TikTok. With the emergence of AI, the landscape has become even more fragmented: with chatbots that provide answers to many user queries without us going through the classic search engine. Google is no longer the ‘default’ when doing a search, especially for younger generations who prefer audiovisual content. OpenAI enters the business. A few days ago we talked about OpenAI’s ambitious plans for its newly launched advertising business. The company hopes that, by 2030, they will have generated $100 billion with ads on ChatGPT, that’s nothing. It is still a much smaller amount than those managed by Meta or Google in a year, but it is enough for the impact to be noticeable. With social networks the exodus of searches began and perhaps we are facing the second great displacement. Time will tell. Image | Xataka, with Gemini In Xataka | The US has just opened a new wound in the Google empire: the justice system declares part of its advertising business illegal

Nothing Phone (4a) Pro vs Google Pixel 10, when you offer more for much less money

Nothing has surprised us again with a mobile phone that manages to stand out in both its mid-range and high-end. In fact, it can compete with much more expensive models, as is the case with the Google Pixel 10. But… How are these two phones different? Let’s go over it in this article. Nothing Phone (4a) Pro (8 GB, 128 GB) The price could vary. We earn commission from these links The price could vary. We earn commission from these links The differences between the Nothing Phone (4a) Pro and the Google Pixel 10 Design and screens One of the most important differences is in size. He Nothing Phone (4a) Pro bets on a larger diagonal of 6.83 inches, while the Google Pixel 10 It is more compact with a screen size of 6.3 inches. The curious thing is that, despite the size, There are only six grams of differencewith 210 grams for the Nothing and 204 grams for the Google. On the back we also see a very striking difference. The Google Pixel 10 maintains the sober appearance that we have already seen in previous generations, while the Nothing mobile incorporates a larger rear camera module, in which we find several cameras and a screen (Glyph Matrix) with luminous points that turn on and off when receiving notifications or listening to music, shows the time and can even be personalized. Processor and RAM and storage configurations While the Google Pixel 10 comes with the Google Tensor G5the Nothing Phone (4a) Pro incorporates the Snapdragon 7 Gen 4. The Qualcomm processor offers balanced performance for the mid-high range and stands out for its energy efficiency. On the other hand, the Google chip is aimed at the use of artificial intelligence functions, although it heats up excessively when executing intense tasks. Both phones start with a minimum storage configuration of 128 GB, but while the Google Pixel 10 comes in this case with 12 GB of RAM, the Nothing Phone (4a) Pro stays at 8 GB. Keep in mind that this configuration of the Nothing mobile phone can be very tight if we are going to use many apps or process AI locally. Photographic section Google phones usually stand out for their photography section and the Pixel 10 is no exception. However, the Nothing Phone (4a) Pro has hit the table by betting on a much more attractive telephotodespite having fewer increases. The Nothing mobile telephoto offers processing that is supported by the hybrid zoom of up to 7x and the results are very good in terms of detail, sharpness and color. Its maximum digital zoom is 140x and, although it takes time to process the image and can sometimes invent some details, the level of success is adequate. Battery Both phones come with batteries with quite similar milliamp figures, since the Google Pixel 10 incorporates a 4,970 mAh battery and the Nothing mobile comes with another 5,080 mAh. However, we do have differences in the charging options: The Google Pixel 10 supports 30W fast charging and 15W wireless charging. This means that it will take a while to have the battery at 100%, especially if you use wireless charging. The Nothing Phone (4a) Pro supports only 50W fast charging (although it also supports reverse charging), which means that you will have a 100% battery in less time than with the Google mobile, but you will not be able to use a wireless charging base. Software, support and price Both phones come with Android 16, but they are different. Nothing’s mobile relies on its NothingOS customization layer, which incorporates a minimalist aesthetic and is supported by three years of updates and six for security patches. For its part, the Google Pixel 10 has purer softwarewithout a customization layer. Support in this case is seven years of updates and security patches (six taking into account that the mobile was launched in 2025). And if we talk about prices, we are faced with two mobile phones that compete in different ranges. The Google Pixel 10 is currently available for a price of 599 eurosbut it was initially launched for 899 euros. On the other hand, the Nothing Phone (4a) Pro is currently priced at 479 euros. In summary: which mobile phone to choose according to your tastes and needs Why choose the Nothing Phone (4a) Pro The Nothing Phone (4a) Pro has been a surprise. Its price right now is 479 euros and it stands out in several aspects: Its quality-price ratio: Nothing’s mobile phone stands out both for its price and for its processor, the photographic section and, of course, the design, especially on the back, where we find the Glyph Matrix screen. fast charging: Despite not having a battery that supports wireless charging, the 50W fast charging allows it to be recharged to 100% in less time than the Google Pixel 10. telephoto sensorthe icing on the cake to a good photographic section in the mid-range that yields very attractive results for the price of the mobile. Why choose the Google Pixel 10 The Google Pixel 10 continues to be a very good purchase option. It has been dropping in price since its launch and is now available for 599 euros. Where it stands out the most is in: Minimum storage configurationwhich despite only having 128 GB of internal storage, at least comes with 12 GB of RAM. wireless charging so as not to be limited to using only wired charging. Google supportwhich offers six years of software updates and security patches. Technical sheet with the main differences between the Nothing Phone (4a) Pro and the Google Pixel 10 Nothing Phone (4a) Pro google pixel 10 SCREEN 6.83 inch LTPS flexible AMOLED panel 1,260 x 2,800 pixel resolution Adaptive refresh from 30 to 144 Hz 2160Hz PWM 1,600 nits maximum brightness with 5,000 peak nits Gorilla Glass 7i 6.3-inch OLED panel Resolution of 2,424 x 1,080 pixels 60-120Hz refresh Corning Gorilla Glass Victus 2 3,000 nits peak brightness DIMENSIONS AND … Read more

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