computing

Meta moves to the other side of the AI ​​counter. You are going from buying computing to selling it

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Meta is designing a cloud computing business to sell excess capacity in its AI data centers to third parties, it has been reported. advanced Bloomberg. The company values ​​two ways: Offer access to models hosted on your infrastructure. Or rent computing power directly, in the style of neoclouds. The panoramic. Zuckerberg has been hinting at this move for some time. At the May shareholders meeting he said that competing in cloud was “definitely on the table” and that there were companies asking him “almost every week” if they could buy computing from him. Now that balloon probe is a business plan. The service would include access to Muse SparkMeta’s own model that still does not have a release date for external developers. Renting raw GPU power is also being studied, the business model of CoreWeave and Nebius. Why is it important. Meta has built, between 2023 and 2026, one of the largest computing infrastructures in the world almost alone, without external partners or clients to make it profitable. 98% of its income still comes from advertising. Turning those data centers into a product that is sold, and not just an assumed cost, is the first public sign that Meta needs another source of income to justify the outlay. In figures: Goal has risen to 145,000 million dollars its infrastructure spending forecast for 2026, 10 billion more than expected in January. Your actions They have risen more than 9% After hearing the news, their best session in more than five months, although they have had a subsequent correction. Meta’s gross margin is 82%, and the operating margin is 41%. The business of cloud Google, on the other hand, operates with a margin of 18%, compared to 42% for its advertising division. CoreWeave is down 10.8% and Nebius 12.4% on the stock market, due to the fear of losing Meta as a client and gaining it as a competitor. Between the lines. The clearest parallel is with SpaceX. Musk’s company, owner of xAI, has begun renting capacity in its data centers to Google and Anthropic for more than $2 billion per month between the two companies. Both companies share a pattern: they have trained LLMs own without getting the market to adopt them en masse, and now they monetize what is left over instead of what they produce. The contrast. Google is the mirror in which Meta looks, and it is not a pretty mirror. He launched his business cloud in 2008, made it public in 2011 and It did not give benefits until 2023. Fifteen years for the calculation to give money. Meta would have to build from scratch a sales and technical support team that it does not have today, something very different from selling advertising space in an automated way as it has been doing. Yes, but. It is not something that should be interpreted solely as a sign of weakness. If you are going to build capacity anyway, it is rational not to leave it idle but to turn it into an asset. Zuckerberg himself framed it this way in May, when he explained that domestic demand had so far absorbed all available capacity. Not anymore. And now what. The question that remains on the table is which side Meta wants to be on: the one that competes to build the best model, or the one that sells infrastructure to those who can achieve it. A few months ago, Google cut off access to Gemini due to lack of capacity and forced Meta to ration its consumption. tokens among its own employees. Selling computing today also means stopping depending on others to sell to it. In Xataka | Sharing your ChatGPT or Claude password is not like sharing your Netflix password: there are people learning it the hard way Featured image | Xataka

The US has just made quantum computing a national priority

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The US is not willing to lose the race for quantum computing against China. Quantum computers are as important to these two superpowers as semiconductors or artificial intelligence (AI). It is even possible that in the future, when quantum machines arrive with the ability to correct your own mistakesif they finally do it, they will be even more so. The scientific community has agreed that classical encryption technologies they will be vulnerable before the advent of large-scale quantum hardware. In fact, Google’s quantum artificial intelligence group holds that a quantum computer with less than half a million physical qubits will be able to decipher the algorithms used by current cryptocurrencies in a few minutes. There is no doubt that the stakes are high. This is the scenario in which Donald Trump has signed Just a few hours ago two executive decrees made quantum computing a strategic priority of the State. The first sets as a goal the development of the first quantum computer powerful enough for scientific research before 2028. And the second forces the federal government’s civil systems to migrate to post-quantum cryptography before 2031, advancing the previous deadline set under the Biden Administration by four years. The US is convinced that quantum computers will take off in 2028 “We are going to invest in American quantum leadership like never before,” declared Donald Trump during the signing of the decrees. Michael Kratsios, the director of the White House Office of Science and Technology Policy, was even more precise: “We believe this can happen in 2028,” he said, referring to the arrival of a quantum computer competent in scientific research. Furthermore, Kratsios described that moment as the beginning of “a new era of commercial capabilities.” The first decree requires the Pentagon to deploy quantum sensors before 2028 These decrees have come a month after the Department of Commerce announced $2 billion in financial incentives for nine companies in the sector under the CHIPS and Science Act. In any case, these measures are essentially a geopolitical positioning statement. The text of the first decree, called Ushering in the next Frontier of Quantum Innovation (Inaugurating the next frontier of quantum innovation), opens with the phrase: “The United States stands on the brink of a quantum revolution.” The White House Office of Science and Technology Policy coordinates the Government’s strategy that integrates the departments of Energy, Defense and Commerce, NASA and intelligence agencies, with the explicit objective of ensuring American leadership against China in a technology that could radically transform artificial intelligence, materials science and chemistry. Surprisingly, this decree also requires the Pentagon to deploy quantum sensors by 2028. Large-scale quantum computers could break the encryption schemes that today protect government, financial and critical infrastructure systems These devices have disruptive military applications. In fact, they can be used to guide aircraft in conflict zones where GPS systems have been blocked, and they can also be installed on satellites to detect underground activity, such as construction of tunnels or missile silos. The second decree is, if possible, even more urgent. Large-scale quantum computers could break the encryption schemes that today protect government, financial and critical infrastructure systems. The second decree approved by the US Government sets the year 2031 for migration to post-quantum algorithms validated by the National Institute of Standards and Technology (NIST), which implies four years ahead with respect to the 2035 objective of the previous Administration. Agencies that do not meet this deadline must submit an explanatory report to the White House Budget Office. Be that as it may, the NIST post-quantum standards they already exist. The career now is not technical, it is administrative, and requires migrating before someone takes advantage of what has been inevitable for years. Image | Xataka More information | Reuters In Xataka | We already know what the chips that will arrive until 2039 will be like. The machine that will allow them to be manufactured is close

China has a quantum platform for computing. Now he wants to turn it into an “attack and defense” system.

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For years we have talked about quantum computing as holding the promise of calculation: machines capable of tackling problems that conventional computers cannot solve, or cannot solve at a useful speed. But that same promise also opens a security front that is difficult to ignore. If sufficiently powerful quantum computers ever exist, part of the encryption that sustains our digital lives could be left in a delicate position. That is why the case of Origin Wukong is interesting: the story coming from China not only seeks to show the ability to calculate, it also wants to present it as a piece of cryptographic defense. What is Origin Wukong. The name may lead one to imagine a specific machine, but the case is something more similar to a remotely available quantum computing platform. According to Global TimesOrigin Wukong is part of a Chinese series of superconducting quantum computers and is linked to the Origin Quantum environment and the quantum research carried out in Anhui, in eastern China. The data that gives it dimension is not only technical: the statement collected by the media speaks of more than 1 million quantum computing tasks completed, more than 49 million remote visits from 192 countries and regions. The new defensive layer. The novelty is not only in the use that Origin Wukong has accumulated, but in how that infrastructure is now presented. The media claims that the platform has integrated a post-quantum cryptography framework and that this allows it to offer a double capacity, aimed at both computing and security. The text itself speaks of “defensive security measures”, an early “spear and shield” model and an “attack and defense” system. What post-quantum cryptography means. We are not talking about an automatic solution or a technology that makes any system invulnerable. According to NISTpost-quantum cryptography is based on encryption methods supported by mathematical problems that are difficult to solve both for conventional computers and for future quantum computers. The nuance matters because the risk is not in current everyday equipment, but in a generation of quantum processors much more powerful than those available today. That is the logic that allows us to understand why Origin Wukong is now also presented in a defensive key. Why does it matter anymore?. The problem does not only affect military documents or state secrets. NIST reminds us that encryption protects everything from emails and medical records to banking, e-commerce, personal photos and sensitive information of governments and companies. In addition, there is a particularly uncomfortable threat: that of capturing encrypted data today to try to decrypt it in the future, when more capable quantum machines exist. That is why the transition cannot be left to the last minute: integrating new algorithms into products and services can take between 10 and 20 years. Technical caution. All this does not mean that quantum computing has already solved its major obstacles. NIST reminds that the field is still in an early phase and that there are still significant challenges before building quantum computers powerful enough to break current encryption. IBM also highlights one of the best-known barriers: qubits are delicate, require extreme cooling conditions and can lose stability due to decoherence. Images | Anhui Quantum Computing Research Center In Xataka | Microsoft believed it would take decades to have a useful quantum computer. Majorana 2 just pushed that deadline to 2029

China has just ranked second in intelligent computing capacity. The important figure is not the most striking

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There’s a simple way to hype up artificial intelligence: just talk about models. And there is a more useful way to understand it: look at which countries have the capacity to train them, run them and bring them to millions of users without the system breaking along the way. In that second race, much less showy but much more revealing, China has just presented its numbers. The figure draws attention due to the ranking, yes, but the important thing is what it tells about the foundations of its deployment. The figure. The information comes from Digital China Development Report 2025the document with which the National Data Administration summarizes China’s digital development over the past year. There it is maintained that the country reached 1.59 million PFLOPS in FP16 of intelligent computing capacity and that this volume would place it in second place in the world. There is small print. The aforementioned report places China in second place in the world within a specific category: intelligent computing capacity. That is not the same as saying that the country is second in the entire AI race, where models, chips, talent, investment, adoption, regulation and many other variables come into play. What we are looking at is something more limited: the computing capacity prepared to power large-scale artificial intelligence loads. Unity matters. FP16 stands for 16-bit floating point, a way of representing numbers with less precision than FP32 or FP64. It is widely used in artificial intelligence because it allows you to perform more operations and use less memory, a useful balance when we talk about training or running models. PFLOPS, for their part, serve to express how many floating point operations an infrastructure can perform every second. It’s not just power. The report does not stop at 1.59 million PFLOPS FP16. It adds a very specific physical layer: more than 13.73 million standard racks in operation, 42 large intelligent computing clusters, described in the document as “ten thousand card” clusters, and a national testing and verification platform that already supervises 1,129 facilities. This network, according to the document, allows 110,000 PFLOPS to be coordinated for economic, scientific and government uses. The distance with the US. China is placed second and the reference for first place is the United States. That is the reading that appears in Chinese state sources when they talk about a position “only behind the United States”, and also what external analyzes of high-end AI computing draw. The American advantage is not explained only by having more chips: also by data centers, large technology companies capable of financing enormous-scale infrastructures and a highly developed network. The other half of the data is in the use. According to the report, China had 748 registered generative AI services at the end of 2025, of which 446 had been registered during that year. It also talks about 602 million users of generative AI, with a year-on-year growth of 141.7%. These are official figures and should be treated as such, but they help to understand why computing capacity matters: we are not dealing with an infrastructure designed only for laboratories, but for services that are already deployed on a large scale. Images | Xataka with Nano Banana In Xataka | Unitree is doing with robots what DJI did with drones: becoming inevitable

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

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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

Computers and computing

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Computers and computing The best offers Desktops, laptops, tablets, monitors, peripherals… There are many offers on computers and computing. Here you have the Xataka selection: 01. Desktop PCs 02. Laptops 03. Tablets 04. Monitors 05. Keyboards and mice 06. Routers and PLCs 07. Storage Some of the links published here are affiliate links. The products mentioned have been independently selected by the editorial team in search of the best deals, except those marked as sponsored by brands. Xataka purchasing guides Black Friday with Xataka Computers and computing Mobiles and accessories Image and sound Home connected Gaming and accessories lifestyle and gadgets VPN and Services of the Internet Gifts Christmas Days Hours Min. Sec. function getTimeRemaining(endtime) { var t = Date.parse(endtime) – Date.parse(new Date()); var seconds = Math.floor((t / 1000) % 60); var minutes = Math.floor((t / 1000 / 60) % 60); var hours = Math.floor((t / (1000 * 60 * 60)) % 24); var days = Math.floor(t / (1000 * 60 * 60 * 24)); return { ‘total’: t, ‘days’: days, ‘hours’: hours, ‘minutes’: minutes, ‘seconds’: seconds };}function initializeClock(id, endtime) { var clock = document.getElementById(id); var daysSpan = clock.querySelector(‘.countdown-d’); var hoursSpan = clock.querySelector(‘.countdown-h’); var minutesSpan = clock.querySelector(‘.countdown-m’); var secondsSpan = clock.querySelector(‘.countdown-s’); function updateClock() { var t = getTimeRemaining(endtime); daysSpan.innerHTML = t.days; hoursSpan.innerHTML = (‘0’ + t.hours).slice(-2); minutesSpan.innerHTML = (‘0’ + t.minutes).slice(-2); secondsSpan.innerHTML = (‘0’ + t.seconds).slice(-2); if (t.total now.getTime()){ initializeClock(‘countdown’, deadline); }else{ document.getElementById(“countdown”).style.display = “none”; } * 01. Desktop PCs Basic configurations with good value for money and powerful computers with great performance. Desktop PC buying guides: Assemble the best Gaming PC for less than 800 euros in 2024 What to buy? Tips and recommendations Gaming processors: which are the best? Tips and recommendations Best miniPCs: which one to buy and nine recommended minicomputers for all budgets * 02. Laptops Convertible and lightweight laptops for students and professionals, gaming equipment and laptops for work, with excellent performance, battery and graphic quality. Laptop Buying Guides: Which Mac to buy in 2024: guide to choosing the Apple computer that best suits your needs Best gaming laptops: which one to buy and eight recommended computers from 770 to 3,000 euros Best laptops in quality price: which one to buy based on use and nine recommended models * 03. Tablets To watch reading, watch series and movies, draw and design or to make video conferences. These are the best tablets on offer. Tablet buying guides: Which iPad to buy (2024). All the tablets in the Apple catalog, their features and advice Best tablets (2024). Which one to buy and 9 recommended models for all pockets and needs * 04. Monitors For desktop computers and gaming PCs: versatile models for working, editing video and photos or for playing. Monitor buying guides: Five things to keep in mind before buying a gaming monitor 7 gaming monitors to play at 1080p for less than 200 euros Full HD gaming monitors. Which one is better to buy? Tips and recommendations * 05. Keyboards and mice Ergonomics and comfort are not at odds with quality: keyboards and mice for desktop computers and gaming PCs. Keyboard and mouse buying guides: What mouse do Xataka editors use: 13 recommended mice for working and playing Mechanical keyboards: 7 ideal options for playing that you can buy for less than 70 euros Wireless mice for gaming: which one is better to buy? Tips and recommendations * 06. Routers and PLCs Routers, PLCs and WiFi mesh to have Wi-Fi coverage throughout the house, improve and guarantee Internet speed. Buying guides for routers and PLCs: Best gaming, streaming and teleworking routers from home: which one to buy and recommendations from 60 euros * 07. Storage All offers on storage products such as SD cards, solid drives, external hard drives, etc… so you can save your files safely. * All Xataka buying guides Black Friday with Xataka Computers and computing Mobiles and accessories Image and sound Home connected Gaming and accessories lifestyle and gadgets VPN and Services of the Internet Gifts Christmas .landing-catalog-container { max-width: 1296px; } @media only screen and (min-width: 768px) { .network-large li, .network-large li:first-child, .network-large li:last-child { width: 116px; } } .landing-cta .subsection-subheading-alt { text-align: center; } * 👆 (function(c,l,a,r,i,t,y){ c(a)=c(a)||function(){(c(a).q=c(a).q||()).push(arguments)}; t=l.createElement(r);t.async=1;t.src=”https://www.clarity.ms/tag/”+i; y=l.getElementsByTagName(r)(0);y.parentNode.insertBefore(t,y); })(window, document, “clarity”, “script”, “49vayizxop”); (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news Computers and computing was originally published in Xataka by admin .

An orbital computing network designed for AI

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Just a few minutes after noon on May 14, a Long March 2D rocket took off from Jiuquan’s launch center with an ambitious objective: to put into orbit the first 12 satellites of the “Three-Body” computer constellation. It is the official beginning of which China presents as the first supercomputing network distributed in space, a movement that marks a before and after in the race to move artificial intelligence beyond traditional data centers. A scale jump: from data centers to space. The constellation, led by Zhejiang Lab and developed in collaboration with the company Guoxing Yuhang (Ada Space), is part of the so -called “Star Computing Plan”. This first mission, called 021, has placed in the same orbit 12 smart satellites with names that honor Chinese cities such as Neijiang, Haikou or Taizhou. Each of them is equipped with an intelligent calculation system and laser connectivity up to 100 GB/s to form an interconnected orbital network. According to the official information published by the Chinese Government and collected by media like Xinhuathese first satellites total a capacity of 5 pops (peta-operations per second) and have in conjunction of 30 TB of storage on board. What are pops? HkexNews explains that 1 pops equals a four -year period (10^15) of operations per second. China’s goal is to deploy a constellation that, According to the information that Spacenews managescould reach 2,800 satellites, with a total capacity of 1,000 POPs. An orbit laboratory. Each satellite has a space computer developed by Zhejiang Lab, with a capacity of up to 744 tops (thera-operations per second) per unit. In addition, they are accompanied by a model of 8,000 million parameters, specially designed to operate directly into orbit. This allows real -time data processing tasks without the need to send all the information to land stations. Use cases: from natural disasters to astronomical science. The satellites They are designed To offer very specific services: Gamma ray detection, generation of 3D digital twins of entire regions, remote observation with processing on board and monitoring of natural phenomena. One of them even includes an x ​​-ray polarimeter Developed by the Chinese Academy of Sciences and the University of Guangxi, designed to detect Gamma explosions and activate in second coordinated observations with other missions. Besides, According to Ada Space herselfthe data collected will also serve for civil applications such as emergencies, immersive video games and smart tourism. A orbital cloud under sovereign control. Behind the deployment there is a geostrategic ambition: build a spatial computing infrastructure under Chinese control that combines global coverage with energy efficiency and low latency. Unlike land data centers, satellites can use solar energy continuously and do not require active cooling systems. What’s coming: more power, more satellites. Ada Space has already confirmed that is working on a second generation of satellites with even more power. The objective is clear: validate the computing architecture distributed in orbit, climb it and turn it into the nucleus of a space cloud capable of operating large -scale AI models without depending on the terrestrial infrastructure. Images | Ada Space In Xataka | We knew that the space spheres were at some point in the universe. We have a new theory about its origin

Multivize Computing is the Startup of San Sebastián that “compresses” the AI. The government has just invest 67 million euros in it

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Óscar López, Minister for Digital Transformation and Public Function, announced within the framework of the Mobile World Congress of Barcelona something interesting: an investment of the government to support a promising Spanish startup of artificial intelligence. Multivize Computing. The Spanish company Multivize Computing It has venues in San Sebastián, Toronto, Munich, Paris and London and aims to “revolutionize artificial intelligence through the understanding of models.” Its products are able to compress large language models at 10% of its original size, with cost reduction and efficiency improvement that implies. Compressing the AI. Its main product is compactifai, a “compressor of AI models” that allows more fast, cheap and efficient ia systems. According to Your dataa model as it calls 3.1 405b has an operational cost of about $ 390,000 if we want to run it at home (13 GPUS H100, 9100 W of consumption), but thanks to Compactifai it is possible to reduce that cost to 60,000 dollars (2 GPUS H100, 1,400 W). 67 million for this European “unicorn”. López has announced that the Government will enter as a shareholder in Multivrse Computing through the Spanish Technological Transformation Society (SETT). In 2024 Digitaleurope, employer of industries in the process of transformation in Europe, recognized the company as the future European Uniccorn. It is one of the most promising emerging companies in Spain according to LinkedIn, and this investment is of course a commitment to that future. And aids for companies. The minister took the opportunity to announce a call for 130 million euros (up to 5 million euros per project) from FEDER funds for companies that incorporate AI “in their value chains.” There is also another additional call of 50 million euros for the integration of AI in companies in the health sector. There are already real cases of use. A previous call endowed with 50 million euros and launched by Sedia in 2021 concluded in December and there have been real cases. One of them is Tartaglia, focused on the health sector and endowed with seven million euros. This project has developed a system so that health institutions can safely share data. Another of these projects is agrarian, with an investment of nine million euros and that has taken advantage of AI to for example foresee the yield of the crops through satellite images, early pest detection or modeling of the energy expenditure of large fridge cameras. In Xataka | Spain is finally

His commitment to emotional computing goes much further

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There is something very interesting happening in Apple. The most hermetic company in the technology industry, that of the permanent secretism, He is publicly showing his advances in robotics. It is no accident. Apple published a video ago showing a suspiciously similar robotic lamp to Luxo, that of Pixar, which moves with surprisingly human gestures. It is not a product, but a research project. The mere fact that they show it is a good sign of where the company is directed. While Google, Microsoft and Openai are competing for creating the best conversational, Apple seems to be betting on something very different. Something we could call “emotional computing”in the “spatial computing” line with which it designates the Vision Pro. Apple does not want you to talk to your digital assistant, but you feel it as a partner. It is a very Apple movement. It is the company that humanized domestic computers (ASA, typefaces, the iconic “hello” manuscript). It is the company that turned the mobile phone into something intimate and personal. It is the company that now wants to humanize AI. And does it in its own way: through design, movement and nonverbal expression. Apple’s robotic lamp is not Alexa with arms. It is something more subtle and deep: An expressive computing exercise that demonstrates that machines can also transmit emotions without words, only with movements of a very concrete style. Pixar taught us (by the way, bought and driven by Steve Jobs) with Luxo: there is no need for a face to have personality. The strategy makes a lot of sense: It clearly differs from competition. They are creating the best chatbot, Apple wants to create the first really empathic robot. Play with Apple’s historical forces: human-machine design and interaction. You can solve the biggest problem of the current AI: its inherent coldness. He Timing It is also important. Apple does not expect to launch its first robotic product until 2026 at best, probably later, As Mark Gurman anticipated months ago And now he has endorsed Ming Chi Kuo in X. Why shows your cards now? Surely for attracting proper talent, but also because they prepare a cultural change. The massive adoption of domestic robots VAA require not only oootro spending, but also a deep change in our way of thinking about technology in our homes. It is not just functionality, it is a matter of trust, of emotional comfort. It is a bet that is not risk -free. The consumer can reject the idea that a robot simulates emotions. Privacy concerns will be there. And the cost of these devices, especially in the first waves, will be prohibitive. But if a company can get it, it is Apple. They did it with the iPhone turning something that seemed science fiction in an indispensable part of our life. Since then, despite successes of a certain size (Airpods, Apple Watch), he has been asking him to replicate him. Apple sure that you can build expressive robots convincingly, but an even more important part is missing: That we are ready to let the machines not only enter our house, but make us feel an emotional bond. That can be much more difficult to get to put the bug at home. In Xataka | The decline of the “Apple culture”. Blind devotion has evolved towards critical enthusiasm Outstanding image | Apple, Xataka with Mockuuuups Studio

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