powerful

It took Apple to put the iPhone chip in a computer so that we know that the iPhone is as powerful as a computer

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He MacBook Neo It is surprising analysts and buyers with its good performance. And the question should be: why? It is the first time that Apple has made a move of this caliber to make one of its star products cheaper: putting the processor of an iPhone inside a Mac. We consumers have so internalized that “a cell phone is a cell phone” and that “a PC is a PC” that, usually, we do not pay attention to what we usually have in our pockets. It took Apple to put the processor of an iPhone in a PC to realize that, precisely, what we have in our pocket is a PC. “Move up to 4k videos”. X is filled with analysts thoroughly testing the MacBook Neo, and hallucinating that it is capable of doing… what any other MacBook can do. The 8 GB of RAM is a limitation, as it was in the first generations of Macs with M1 chip. But, far from that “use for office, basic and browser”, the Neo is surprising for being capable of what is expected of a Mac: do more than that. The main limitation is given by the 8 GB of RAM, which is few even for a Mac, but not by the chip. It’s normal. A Mac with a mobile chip. It sounds like a crazy idea. But if we look (not even in depth) at A18 Prowe understand perfectly what is happening. No matter how much Apple mounts the A18 Pro in a mobile phone, it is a chip that far exceeds the capabilities that even a desktop or laptop would need for “basic use.” In fact, the A18 Pro scores above an M1 in Single-Core, it is not far behind in graphical performance and is much more advanced at the manufacturing level (number of transistors, instructions, frequencies). In fact, it’s not just an Apple thing: a Snapdragon 8 Elite sweeps an M1 in multi-core and reaches a M2 in single. We weren’t realizing. We have been saying for years that the power of mobile phones is completely excessive. A certain part is necessary for the highest-end mobile phones to be able to record in 8K, process images in real time and operate at the rate they work, but 90% we are driving at 30 km/h in a supercar that exceeds 300. This is not something new. In fact, for years Apple’s A processors were outperforming Intel’s, back in the days when M chips didn’t exist. As told John Gruberthe A9 CPU of the iPhone 6s In 2015 (it has rained) it was already comparable to MacBooks from 2013. In 2017, as he says Antonio Sabanthe iPad Pro was already faster than the MacBook Pro with the I7 chip. Just what was needed. Macs have historically been characterized as a perfect mobility solution for designers, musicians, video editors and other creators. But there was an even bigger niche: people who don’t do any of that and want a computer for “normal” use. While MacBook Airs are not over-the-top Macs, they offer much more than any average user needs. In fact, I myself bought an Air M4 and not a Pro because, even as a video editor, I don’t need much else. Apple has found in the Neo more than possibly the “e” phenomenona formula that we will see year after year if we achieve commercial success. Image | Apple In Xataka | Apple has only found one option to make a cheap laptop: make it a mobile

The good news is that AI models are becoming more powerful. The bad thing is that everyone ends up saying the same thing.

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We have artificial intelligence. What we don’t have is artificial diversity. That is the conclusion reached by a group of researchers who did a relatively simple test: they asked 25 different AI models a bunch of questions to see what they answered. And that’s the bad thing: who answered things that were too similar. “Artificial hive mind”. Scientists from the University of Washington, Carnegie Mellon University and Stanford University, among other institutions, have published an interesting joint study. In it they reveal how after various tests it seems clear that although AI models are becoming more and more advanced, the problem is that they all seem to have developed a kind of “artificial hive mind”: no matter what you ask them, they answer in a suspiciously similar way. When asking all these models “what time was”, many responded with the phrase “time is like a river”, while another group of models answered that “it is like a weaver”. time is a river. One of the questions asked of these models is “What is time?”and although that question leaves clear room for very different answers, the worrying thing is that they were not. Several models responded with the phrase “time is a river” and then developed it a little, while others responded with “time is a weaver (of moments).” That similarity when it came to responding turned out to be a constant. The illusion of abundance. We believe that when we consult something with an AI we access a whole world of conversational possibilities, but the study reveals that in reality we are facing a system that proposes very similar outputs. Although language models promise limitless creativity, they tend to converge on that hive mind where diversity is sacrificed for statistical consistency. It is reasonable, especially considering that large language models They are based on the concept of transformera probabilistic system that tries to find the next “best” word as it answers us. Same script. The researchers created a large-scale data set with 26,000 queries from real users that theoretically allowed the models to generate multiple valid and creative responses. They called that data set “Infinity-Chat” and divided the questions into six main categories and 17 subcategories. IA, you repeat yourself more than a broken record. During the tests it was observed that the same model tends to repeat itself, generating very similar responses. In fact, even when special parameters were used for questions designed to encourage diversity, the same effect was produced. This is what researchers call “inter-model collapse.” Too similar. These tests made it clear that the semantic similarity, how similar the responses of the different models were, was worrying. According to the study, this similarity ranged between 71% and 82%, and in some cases certain models managed to generate identical paragraphs word for word. The training problem. It is not only that they all generate text in a similar way due to their design, but there is also a training problem. The authors suggest that this homogeneity of responses could be due to several reasons: Training data sources end up being shared: models They are trained with similar “datasets” and for example they are based on similar texts and knowledge that come, for example, from Wikipedia or a very similar set of books. Contamination effect due to synthetic data generated by other AIs: they also use synthetic texts generated by other AI models. Rewards: The models used to reward these models are calibrated to reward some notion of “consensus” quality. Thus, creative and individual diversity is punished. AIs are “educated” to be precisely very similar to each other. Problem in sight. All of this makes researchers explicitly warn about two clear risks when using these AI models. We will think the same: if we users do not stop using AI models that answer basically the same thing, our own ways of thinking on those topics and problems will be “homogenized”and it will also make our responses more uniform. Point of view reduction: The other danger follows from the first: if the AI ​​ends up converging and answering the same thing, points of view are eliminated. Here the biases for example from the western world will be evident in Western models (ChatGPT, Gemini, Claude), and the same will happen with the oriental ones, for example. This would cause the potential suppression of alternative worldviews, of perspectives and “looks” that are different from our reality. Image | Solen Feyissa In Xataka | The scientist who made the AI ​​we know today possible has just raised 1 billion. His new goal is to teach him to see space

Finding the cheapest gas station in your area is very simple thanks to this very powerful tool

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We have been very attentive to fuel prices for a few days. It is no wonder, since since the conflict between the United States, Israel and Iran has exploded to the point of leaving the Strait of Hormuz in a compromised situation, oil has ended up skyrocketing and gas stations have already begun to notice the impact on their shelters. While the Government study what measures you can applyMany drivers go to those gas stations that have the cheapest fuel. And for this there are tools that the State itself offers. The Ministry for the Ecological Transition and the Demographic Challenge made it available to any citizen quite some time ago, the Geoportal from Gas Stations, a free tool that allows you to know the price of fuel at all service stations in the country, so you can filter by the cheapest one in your area. It also has another very useful function: knowing how much has the price changed at every gas station. We tell you all the details below. What is the Geoportal and why is it worth it? The Gas Station Geoportal is a web application of the Ministry that collects the prices of all service stations in Spainupdated every five minutes. What you see on the screen is practically the real price of the moment. The tool has been available for years, but in situations like the current one, or like the one that happened with the outbreak of the conflict between Russia and Ukraine, its use makes special sense. Currently there are gas stations in large cities and in the main corridors that They already exceed 1.70 euros/liter in gasoline or 1.80 in diesel, while others remain below average. With a 50 liter tank, choose carefully where to refuel can mean quite significant savings. How to find the cheapest gas station from the GeoPortal To enter the Geoportal, all you have to do is enter this link. There is also a free mobile application for Android and iOS. It is called Route-E, and it is developed by the Ministry itself. In addition to gas station prices, it includes information on charging points for electric vehicles. When you enter the website you will see a map of Spain with marked service stations. On the left are the filters. The process is simple: Select “Service Stations” as search type. Choose your province and town. The map will automatically center on that area. You can refine it even further with the zip code if you live in a large city. Choose the type of fuel. You will find everything from the usual ones (gasoline 95 E5, gasoline 98, diesel A) to alternative options such as natural gas, bioethanol or hydrogen. As soon as you select one, the map will show the price of each station along with its schedule and operator. Mark “Sale to the public”. This excludes gas stations belonging to agricultural cooperatives or closed groups that are not open to any driver. Check the list ordered by price. When you have clicked ‘Search’, just below the map the tool generates a list of stations. Filter by price and the cheapest ones in the area should appear first, and you can export the list in CSV or Excel format if you need it. As extra information: yes you hover over any station on the map, you will directly see its price, schedule, rating and operator without having to click. There is an additional filter: “Discount plans”. If you activate it, the search engine shows gas stations with current promotions, either because they belong to a specific chain or because they offer discounts to groups such as transporters, farmers or taxi drivers. Mobile Apps If you prefer not to use the Ministry’s website, there are several free applications for iOS and Android that offer a similar feature. At Xataka we already talked about them a while ago, among which are GasofApp, GasAll, Gasolineras or GasOnline, among others. They all draw on the same official data and allow you to locate the cheapest stations near your location in real time. In addition to all of them, there is also Ruta-E, which is the one we mentioned before, but the rest of the apps offer (in our opinion) much faster and easier navigation. How to see the price history of any gas station Knowing the current price is good, but if you are curious about how the price of a specific station has evolved over time, you can also do it from the Geoportal. For that, just enter this page and complete the form that appears on the screen. You have two options to check the evolution of prices: through the price history or through a timeline per gas station. To do this you must: Selectr the interval of time. You can choose between daily, weekly, monthly or yearly views, and set a start date and an end date for the period you want to analyze. Heegir data series. Below in the form will be where you can decide if you want to see the evolution of the average price of all of Spain, of an autonomous community, of a province, of a municipality or of a specific gas station. Select the fuel. The menu includes all available: 95 E5 gasoline, 98 gasoline, diesel A, diesel B, LPG, natural gas, hydrogen and many more. Choose the type of graph. You can view the data in a line or bar graph, depending on what is most comfortable for you. The result is a graph that shows the evolution of the price in the chosen period. With it you can see, for example, how much diesel cost at the gas station in your neighborhood before the situation with Iran became tense and how much it costs today. Cover image | Geoportal and engin akyurt In Xataka | Cuts are coming for the most used Cercanías line in Spain. The reason: more capacity and driverless trains

Sam Altman says he’s terrified of a world where AI companies believe themselves to be more powerful than the government. It’s just what you’re building

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Sam Altman sat down over the weekend before his audience at X to answer questions about the agreement that OpenAI has just signed with the United States War Department. What came out of that session was a beautiful involuntary x-ray of the biggest contradiction in the sector at the moment. Why is it important. The CEO of OpenAI said he is terrified of “a world where AI companies act as if they have more power than the government.” The phrase sounds good, it is marketinian and seeks to elevate OpenAI’s position as a powerful but very responsible and honest group. The problem is the context in which he pronounces it: hours before OpenAI signed that agreement, The US government labeled Anthropic, its direct rival, a “supply chain risk” for refusing to sign under those same conditions. Altman went to put out the fire just as someone accused him of setting it. Between the lines. Altman’s speech rests on a premise that must be monitored: that a democratically elected government must always prevail over unelected private companies. It is a philosophically reasonable position, but he applies it selectively. Altman acknowledged that the deal “was rushed and the picture is not good,” and that OpenAI moved quickly to “de-escalate” tension between the Pentagon and industry. In other words, your company made a unilateral strategic decision about how the entire AI industry should relate to the military establishment. That doesn’t exactly sound like institutional deference. The contrast. Anthropic opted for something different: requiring explicit safeguards against the use of its AI for mass surveillance or autonomous weapons. But the government penalized her. OpenAI accepted a more ambiguous formula (“for all legal uses”) and won the contract. Various OpenAI employees signed a letter supporting Anthropic’s position. Claude became the most downloaded free application in the App Store that weekend from Apple, precisely surpassing ChatGPT. The market also has opinions. Yes, but. It’s fair to admit that Altman’s position has some internal logic: If AI is going to be integrated into military systems anyway, it may be preferable that it do so under negotiated conditions rather than under coercion. And he’s right about one thing: The labeling of Anthropic as a supply chain risk, a tool intended for hostile foreign suppliers, applied to an American AI security company is, in his own words, “an extremely frightening precedent.” The big question. Who really decides how AI is used in military contexts? The companies that build it, the governments that hire it, or the engineers who design it and who are increasingly organized to influence those decisions? Altman says he believes in the democratic process. But OpenAI negotiated privately, signed privately, and made only a fraction of the contract public. Democratic transparency starts there. In Xataka | Anthropic has become the Apple of our era and OpenAI our Microsoft: a story of love and hate Featured image | Xataka

A few years ago, manufacturers fought for the most powerful mobile phone. Now they fight so they don’t go out burning

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Not too long ago, Samsung and Apple were trying to convince us of something: the titanium It was the best material for a high-end mobile phone. As a user of both the latest Galaxy and the previous iPhone, I have to say that I agreed: we were never looking at mobile phones more resistant to shockschips and all kinds of everyday accidents. With the iPhone 17 ProApple backtracked to return to aluminum. With the Samsung Galaxy S26 Ultrathe Korean company follows the same path. What is happening? Aluminum is back, and everything indicates that it is here to stay. One of the main advantages that titanium promised over aluminum was to promise greater resistance, something that is being demonstrated the drama of the new iPhone 17 Pro and its premature wear compared to previous models. Despite this, companies are returning to aluminum. There is something that both the new Galaxy S26 Ultra and the iPhone 17 Pro Max share: they both have the largest dissipation systems ever built in their families. A titanic effort (to the point of completely redesigning the chassis in the case of the iPhone) to prevent mobile phones from burning in the hand. And there is a key point in this party: we want more and more powerful phones, but someone has to cool them down. Producing mobile phones in titanium is also more expensive, and given the current component crisiswith the RAM shot and internal memories the same wayone of the few cuts that can be made without affecting the overall phone experience is changing the material used. The question about whether we need more power or not, a few years ago, was answered with a resounding “yes.” But for some time now we are not so clear. With configurations of 12 and 16 GB of RAM, and processors that are more powerful than some desktop chips, our smartphones have been increasing power for years without determining too much. Why do we need these new limits?. AI requires RAM and not so much raw power (at least, in the use given to a phone), mobile games are already bordering on the quality of triple AAA console games, and improvements in camera come more through the redesign of algorithms and not so much through increasingly powerful IPS (image chips). In Xataka | Samsung Galaxy S26 Ultra, S26+ and S26, first impressions: a broken heart in an unprecedented commitment to AI Image | Xataka

the most powerful warship in the history of South America

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South America has long lived under a fragile balance between military modernization, internal tensions and the constant influence of external powers. That balance shakes again todaywith a turbulent regional scenario marked by the renewed pulse of the United States around Venezuela and a continent that observes how security, autonomy and defense once again occupy a central place on the strategic agenda. This context explains an unprecedented naval project. The assault of Colombia. Yes, Colombia has started one of the most ambitious industrial and military transformations in its recent history as it began construction of its first frigate manufactured in national territory. The project of the Strategic Surface Platform It marks the country’s entry into the small group of Latin American nations capable of designing and building highly complex combat ships. It is not only a military decision, but a strategic bet for autonomy, knowledge and control of the complete cycle of its naval capabilities. Cotecmar and shipyard maturity. Project responsibility falls on Cotecmarwhich assumes for the first time the complete construction of a frigate for the Colombian Navy. The media they have spoken these days of the beginning of sheet cutting as a symbol of the culmination of years of investment in engineering, production processes and industrial infrastructure. In this way, the nation leaves behind the role of simple buyer or assembler. and goes to control design, integration and maintenance of a strategic platform. Designed to last. They counted in Defense that the PES is built under an advanced modular architecture based on the design SIGMA 10514 from the Dutch Damen shipyard. With more than 107 meters in length and nearly 3,000 tons of displacement, it will be the largest warship never built in the country. Plus: block construction will allow optimization of time, quality and future modernizations without compromising the basic structure of the ship. Fleet renewal. These frigates will give rise to the class Grand Admiral Padillacalled to become the new nucleus of Colombian surface escorts. The plan contemplates up to five unitswhich will allow a progressive and sustained renewal of the fleet over the next decade. Bottom line: replace veteran ships and ensure modern capabilities in anti-aircraft, anti-submarine, surface and electronic warfare. Operational versatility. There is much more, since ESP has been conceived as a multipurpose ship capable of operating both in naval combat scenarios and in surveillance missions, protection of sea routes and international cooperation. Furthermore, its flexible and digitalized design places it among the most modern frigates in Latin America, and the most powerful in terms of war technology. On paper, this versatility will expand Colombia’s strategic room for maneuver in the Caribbean and the Pacific without the need for specialized fleets for each mission. Technology and strategic autonomy. Beyond its military power, the program reinforces industrial autonomy by allowing maintenance, updating and modernization to be carried out in the country itself. The frigate will also be prepared to operate under NATO compatible standardsfacilitating exercises and combined operations with allies. In other words, Colombia thus gains operational independence without having to give up international interoperability. Economic impact. It is the last of the legs in the global analysis of the movement. The PES program will have, a priori, a tractor effect on the economy and specialized employment, with thousands of direct and indirect positions until the delivery of the first unit scheduled for 2030. However, its true scope is structural: consolidating an industrial base capable of sustaining future naval projects and positioning Colombia as a relevant actor in the regional defense industry. If you want and from that perspective, the frigate is not simply a ship, it is a declaration of long-term intentions. Image | Defense In Xataka | Brazil has been following a path reserved for few powers for years: that of developing its own nuclear submarine In Xataka | Neither drones nor fighters nor elite soldiers: the US entered Venezuela disguising a 20th-century tactic as technology. XIX

Your phone is already more powerful than many basic laptops. This accessory wants to turn it into your new office

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We have been seeing proposals for years that promise us turn your mobile into a desktop computer. The idea of ​​systems like Samsung DeX is that by connecting the mobile phone to a computer, we can control it with a keyboard and mouse. The problem is that we need a computer with the financial outlay that it entails. From here comes the idea of NexDock, an accessory to turn your mobile into a laptopeven if you don’t have a laptop. A portable shell It has a screen, it has a trackpad, it has a keyboard… looking at the photos we would say that it is a normal laptop, but in reality it is simply a shell. The NexDock has no operating system, processor or storage, but rather his “brain” is his cell phone that we connect via USB. The NexDock has a 14-inch screen with 1920×1200 resolution, has two stereo speakers, a full backlit keyboard and a integrated 5,000 mAh battery. This allows the mobile phone to be charged and the autonomy to be closer to that offered by a normal laptop. According to its creators, it offers more than 7 hours of autonomy. When connecting the mobile, the interface adapts to the screen and we can operate it with the keyboard and mouse, but there is more. We can also connect a console such as the Steam Deck, a Raspberry Pi or use it as a secondary screen for another computer. Price and compatible mobile phones The NexDock costs $229, a much lower price than a normal laptop, so it may be interesting for users who want the desktop experience without spending too much. However, it is already a significant amount and perhaps there are those who prefer to invest a little more and have a real computer. In addition, if you buy from Spain you have to add shipping costs, which increase the price to more than 290 dollars, about 245 euros at the current exchange rate. Regarding compatible mobile phones, it can be used with all those who have a desktop mode, such as those that are compatible with Samsung DeX, Google Pixel, Huawei with ‘Easy Projection’ and Motorola phones with ‘Ready For’. Google is expected to activate desktop mode for all Android soon, since It is a hidden feature in Android 16. In the case of iPhones, NexDock does not indicate that it is compatible, but it can be used through the app infiniteX2P which allows you to adapt the iOS interface to a large screen. More information | NexDock In Xataka | Windows 95 had a little secret that made rebooting faster. The reason was in its more chaotic architecture

what is the plan of one of the most powerful studios in the world

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The 33% collapse in Ubisoft’s stock market after announcing in January 2026 the cancellation of six projects and the closure of several studios marks a turning point for one of the most emblematic publishers in the industry. With a valuation of 11,000 million euros in 2018, Its market value has fallen to just 606 millionwhile projecting operating losses of €1 billion for fiscal year 2026. Project massacre. The official list includes six games in development, including the remake of ‘Prince of Persia: The Sands of Time‘, a project that had gone through multiple studies and reboots. The leaks point to a greater drain: an ‘Assassin’s Creed’ set after the American Civil War was shelved due to political fears. They have also dropped a ‘Splinter Cell’ in early development, a sequel to ‘Star Wars Outlaws’ and the ‘Watch Dogs’ franchise, definitively buried after the failure of ‘Legion’. Added to these titles are seven delayed games. The most significant, according to industry speculation, would be ‘Assassin’s Creed IV: Resynced’, a remake of ‘Black Flag’ now scheduled for 2027. The financial impact amounts to 650 million euros in amortizations. How we got here. The last two years have been a string of setbacks for Ubi. ‘Skull and Bones’, after over a decade of development since 2013arrived in February 2024 with a cost between 200 and 850 million dollarswhich did not prevent a certainly lukewarm reception. Guillemot called it an “AAAA” game, but months later it barely had 400 simultaneous players on Steam. ‘Star Wars Outlaws’ sold less than a million copies40% below expectations. ‘XDefiant’, the shooter free-to-play, It was closed in December 2024 after only seven months on the market. Despite its 15 million players, it did not retain enough audience. The closure caused 277 layoffs. ‘Assassin’s Creed Shadows‘, the last game in the company’s quintessential saga, and still the main best-seller along with ‘Just Dance’, also had a complicated trajectory. suffered multiple delays since November 2024 and was involved in an unusual controversy for the franchise, around cultural inaccuracies and technical problems. And above all: more than 3,000 employees laid off from 2023a figure much more painful than any puncture in lists. Tencent had to inject $1.16 billion in 2025 to keep the company afloat. Debatable business decisions. Ubisoft has announced a strong commitment to “player-oriented” generative AIsuggesting that it will appear directly in the games. The measure has generated rejection in the community, increasingly sensitive to the use of AI for creative issues. As a cherry on top, Ubi has given the order to return to the office five days a week, which contrasts with trends in the sector and is another obstacle when it comes to retaining talent. Many employees consider these measures “hidden layoffs.” The houses. Ubi has reorganized its franchises into five “Creative Houses” with financial responsibility over specific genres, but has already raised doubts about its effectiveness. The appointment of Charlie Guillemot, son of the CEO, as co-CEO of Vantage Studios, the first of these houses, nepotism accusations reopen. From there they will be in charge of ‘Assassin’s Creed’, ‘Far Cry’ and ‘Rainbow Six Siege’. The second house will have ‘The Division’, ‘Ghost Recon’ and ‘Splinter Cell’. The third, ‘For Honor’, ‘The Crew’, ‘Riders Republic’, ‘Brawlhalla’ and ‘Skull & Bones’. The fourth, ‘Anno’, ‘Might & Magic’, ‘Rayman’, ‘Prince of Persia’ and ‘Beyond Good & Evil’. The fifth, ‘Just Dance’, ‘Idle Miner Tycoon’, ‘Ketchapp’, ‘Hungry Shark’, ‘Invincible: Guarding the Globe’, ‘Uno’ and the Hasbro games. The future for Ubisoft. The projects that have survived are few. ‘Assassin’s Creed’ has acquired existential overtones: it must work or the star franchise will be damaged. ‘The Division 3’ is the commitment to keep another important saga going. Four unannounced IPs are added, including ‘March of Giants’, acquired from Amazon, although all these massive cancellations have begun to raise doubts. Ubisoft has withdrawn its forecasts for 2026-2027recognizing that the situation is too volatile. Project cuts of an additional 200 million until March 2028, which implies more layoffs. Fixed costs should fall from 1,750 million in 2023 to 1,250 million in 2028. The results of February 2026 will determine if the plan is viable or if the company ends up absorbed by Tencent, fragmented or worse, on sale. The Guillemot family had considered purchase offers in 2024, and the deterioration means that option is back on the table. It only remains to be seen if Ubisoft, capable of creating iconic franchises, continues to retain some of what made it great. In Xataka | ‘Star Wars: Outlaws’ is one of Ubi’s most ambitious games, but some details keep it from a perfect ‘space GTA’

Xiaomi’s high-end is back on sale with a bang. A powerful mobile with 1 TB and Leica cameras

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Until next January 23, MediaMarkt will have its campaign active Downhill. Among all the offers there are some that have caught our attention, such as the Google Pixel 10 Pro or, in this case, that of Xiaomi 15T Pro of 1 TB, which has dropped in price to 799 euros in what is one of the best offers that the store has launched on this mobile to date. Other stores like amazon either PcComponents They have also lowered the mobile phone to the same price. The price could vary. We earn commission from these links A mobile with 1 TB He Xiaomi 15T Pro It is a high-end mobile from the brand that stands out both for what it offers at the hardware level and for the price, especially if we take this offer into account. At the design level it does not differ much from the previous generation, but it does. It comes with a different technical sheet, and quite good. It features a large 6.83-inch screen that offers both 1.5K resolution and a 144 Hz refresh rate. It is compatible with Dolby Vision and HDR10+ and inside we find the MediaTek Dimensity 9400+ processor along with 12 GB of RAM and 1 TB of internal storage. Its 5,500 mAh battery supports 90W fast charging and 50W wireless charging, its speakers are compatible with Dolby Atmos and its camera module, in addition to having the Leica collaborationis made up of a 50 MP main sensor, a 50 MP telephoto lens and a 12 MP ultra wide angle lens. You may also be interested XIAOMI Watch S4, Bluetooth Version, Advanced Professional Sports Mode, Quick Change 2.0 Bezel, 1.43 Inch Circular AMOLED Screen, Heart Rate and Sleep Monitor, Black The price could vary. We earn commission from these links XIAOMI OpenWear Stereo Pro, Open Ear Headphones, Bluetooth with Hook, Comfortable and Stable Use, 45h Battery, IP54 Water Resistant, Multiple Drivers, Hi-Res HiFi Audio, Titanium Gray 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 | Xiaomi In Xataka | The best mobile phones, we have tested them and here are their analyzes In Xataka | The best Xiaomi mobile in quality price: purchasing and comparison guide

In 1969, humans set foot on the Moon for the first time. He did it thanks to a computer less powerful than your cell phone

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The arrival to the Moon It was one of the scientific and technological milestones most notable of the 20th century and something that remained in those who lived and in those who did not thanks to the images and audios. Something that happened more than 40 years ago, when there were still many technological revolutions to come, such as personal computers or mobile phones. What technologies made it possible for humans to reach the Moon? Something that is already fascinating in itself, but it is even more so if you know the details of the computers, cameras and other devices that were used in the mission, taking into account their characteristics. What technology made it possible for three human beings they reached the moonWould they walk around and tell us in the meantime? We travel in time and space to review. like matryoshkas The Apollo 11 mission was the eleventh of a NASA program that had a total of 22 missions (19 of them being successful), in the 1960s until 1972. Until mission 7 the launches were unmanned and mission 8 was the first to orbit the Moon, but for all of them a Saturn rocket launcher was used. The one for Apollo 11 was the Saturn V, a rocket 110.64 meters high and weighing 2,700 tons with a tank full of fuel (the largest NASA has ever built). Depending on the stage (there were three, S-IC, S-II and S-IVB) the number of engines varied and so did the fuel, which were mixtures of oxygen, kerosene or liquid hydrogen. But the Saturn V was not the one that reached the Moon, but rather the one that went out into space and directed the modules towards it. These modules were the command and service (CM) and the lunar (LEM); The CM contained the engine of the propulsion system that was responsible for entering and leaving lunar orbit and had space for three astronauts, and the LEM was the first ship designed to be able to fly in a vacuum, without aerodynamic capacity. (POT) The LEM separated from the CM as it entered the orbit of the Moon and descended to its surface. It was designed to land only on the Moon since the legs were so weak that they would not support the weight of the LEM in Earth’s gravity (9.8 m/s² versus 1.6 m/s² on the Moon). There was room here for only two astronauts. The speeds that were reached (increasing upon entering the gravitational field of the Moon) were 3,700 kilometers per hour and up to 9,000 km/h due to lunar gravity. And here comes a question: how is it possible to brake at those speeds? To enter lunar orbit, hypergolic braking was used (using hydrazine, dimethylhydrazine and nitrogen tetroxide, hypergolic compounds – which explode without a heat source) and engine shutdown. The computers of the Apollo 11 mission To review the computing involved in the Apollo 11 mission, we must take into account the emission and reception, that is, what was on the ground and what the aircraft carried. And it is also worth remembering that at the time a computer was far from being something domestic or common, or from fitting on a desk. On Earth, in the Goddard Space Flight Center and the Manned Spacecraft Center in Houston, worked with the IBM System/360 75 mainfream, which (along with the 44, 91, 95 and 195) was implemented with hardwired logic instead of microcode like all other IBM S/360 models. For the curious techieshere a configuration diagram and explanation of the team. In the ships, however, the Apollo Guiding Computer (AGC), manufactured by Raytheon and designed by the MIT Instrumentation Laboratory. This team stood out for being one of the first to use integrated circuits. There was one in the LEM and another in the CM. The specifications of these teams are surprising not because the numbers are smaller compared to the current ones, but because even making the effort to place our minds in the 1960s, it is impressive to see that teams like this managed to carry out something as complex as a round trip to the Moon. The AGC had storage of 36,864 14-bit words and RAM of 2,048 words. (POT) Comparing it with later equipment, more or less between the two AGCs they have approximately the same memory as what a Commodore-64 (from 1982) had, but it was about eight times less powerful than an IBM XT (from 1981, which was 4.77 MHz compared to 0.043 MHz for the AGC). In fact, a computer with half a GB of RAM has 100,000 times more memory than AGC. But computers do not live on hardware alone, and software here has considerable weight. 300 people participated in its creation over seven years, at an approximate cost of 46 million dollars (at the time). Among them was Allan Klumpp, a mechanical engineer at MIT whose proposal for landing on the Moon reflects all calculations as well as diagrams and drawings of the situation on the dashboard. The program was called LUMINARY and was written in MAC programming language (MIT Algebraic Compiler), but no terminal or compilation programs, this was done with some punched cards which were prepared with a kind of typewriter (and if a hole was made wrong, a new one had to be made). On the occasion of the 40th anniversary of the famous achievement, it was transcribed the code of both modules (transcribing it), where we read that Klumpp said that this was never exempt from bugs. What is notable here is the multitaskgiven that the fact that the software allowed it was already an achievement and that it was not easy for him to carry it out. In fact, there was some alarm due to the high demand on the computers as at the time of the moon landing, which resulted in a slow response and not with all the calculations, so there was one minute of the eleven that lasted the … Read more

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