The world’s leading expert in identifying deepfakes has a big problem. No longer able to identify them

Is called Hany Farid and is considered one of the world’s leading experts on deepfake videos. This digital forensics expert was capable of uncovering videos manipulated by governments, for example, but now he has decided to leave Silicon Valley for one simple reason: It is no longer able to differentiate the real ones from those that are being generated with AI tools. And we are not surprised. Deepfakes indistinguishable from reality. In the last two decades Farid, 60, has specialized in identifying fake videos. This professor at the University of California at Berkeley has confessed that advances in generative AI have made traditional detection methods are no longer of any use. Their conclusions confirm the feeling that we have had for a long time with this type of content: AI has advanced so much that the problem is no longer just deepfakes: it is that we distrust even real photos. Farid’s reputation precedes him. His father worked for 50 years as a chemist at Eastman Kodak, and Farid grew up visiting the dark room often, watching photos become photos as they passed through the different liquids. He ended up designing a “digital fingerprint” system that made it possible to detect cases of child pornography hidden on the Internet. In fact, its technology has led to 30 million cases of potential abuse being reported each year, as well as leading to hundreds of arrests and several rescues. I surrender. Faced with the avalanche of perfect deepfakes generated with AI, Farid has decided to leave his job to take refuge on a farm in Vermont. His surrender is the latest demonstration of a harsh reality: We can no longer trust what we see on networks. Now he is dedicated to working with wood, and has distanced himself from networks and technology. The missile that changed everything. The turning point that demonstrates this crisis of this digital forensic task occurred after the viral spread of a video showing the alleged impact of a US missile on a school in Iran. Farid spent an entire day breaking down the sequence frame by frame: analyzing the geometry of the shadows, the sound delay rate of the explosion according to the laws of physics, or the pixel length of the projectile. Impossible to decide if it is false or not. He found nothing that could prove that the video was fake, and the same thing happened to other specialists. None could issue a clear verdict of authenticity, and that made it clear that AI video generation is currently so advanced that real content is indistinguishable from a deepfake generated with these latest generation models. Verifying is too complicated. There is another problem here: generating a fake video, whether toxic or not, with cloned voices that are perfectly synchronized with the interlocutor is easy, fast and cheap. Carrying out a forensic investigation to try to detect whether the video is real or not takes hours of computational and direct analysis by specialists. Given that deepfakes manage to go viral in just 20 minutes if they are successful, the methods to contain this spread are useless for a simple reason: they arrive late. The biter bit. The researcher himself was a victim of this reality: cybercriminals cloned his phone number and used AI to generate his voice and thus impersonate his identity. With that clone, they called a close contact who was involved in a court case and managed to extract confidential information. Farid and his wife, a vision researcher at Berkeley, they had to create a secret safe word at the beginning of each family call to certify that each interlocutor was who they said they were. The situation generates a disturbing paranoia and mistrust. “I’m going blind”. In the report of The New York TimesFarid explained that his studies show that most people can no longer differentiate a real photo from a digitally created one. “I feel like I’m going blind,” he indicated, showing his concern about an AI that is managing to obscure the truth and distort reality. Watermarks as a solution. Faced with this avalanche of images and videos generated by AI that are indistinguishable from reality, one of the potential ways to mitigate the problem continues to gain strength. It is, of course, the watermarkstotally invisible and which are part of the metadata of those files. Two promising initiatives. There are several initiatives in this regard, although the most notable It is that of the C2PA coalition which includes, for example, Google and OpenAI. AI tools should add those watermarks identifying those contents (“This video has been generated with this AI application, this image has been generated or edited with this other one”), but at the moment that type of option is not applied by default. Another important project in this sense is SynthIDGoogle’s technology to “mark” these contents as created with AI. Image | Bild (CC0) In Xataka | What happened to Technicolor: evolution and death of the company that changed cinema and was overwhelmed by its ambition

We thought the MacBook Neo was the perfect affordable computer. AMD claims it has a big problem: games

He MacBook Neo has been everything a missile on the waterline of the “affordable” Windows laptop market. Our analysis confirmed our expectations and we were able to verify that we are facing a more than solvent team with a outstanding price/performance ratio. However, it is not perfect, and its Achilles heel is in a specific area: video games. AMD strikes back. The company has launched an aggressive advertising campaign with a strong message: “The competition makes sacrifices. You don’t have to make them”, and then focus on how the Apple team falters in a section that is important for a notable sector of users: “While 15 of the top 20 PC games don’t run natively on the MacBook Neo, AMD systems give you access to a massive library of games across Steam, Epic Games Store, and PC Game Pass.” The hateful comparisons. In that campaign AMD compares the HP Omnibook X Flip with an AMD Ryzen 5 220 with Apple’s MacBook Neo. It boasts of its 512 GB SSD (256 GB in the Apple model indicated, although there is a 512 GB version), its touch screen and its greater connectivity options. Beware of AMD’s message. As noted in Tom’s Hardware, this AMD chip is not new, but rather a version derived from the 8540U that is accompanied by an integrated Radeon 740M GPU. It’s a modest chip that can run titles like GTA V at 100 FPS in low quality, but Hellblade 2 runs at 8 FPS and Alan Wake 2 runs at 11 FPS. So it may indeed be able to run those video games, but it’s not clear that they are actually “playable.” One thing is certain: the MacBook Neo is not for gaming. In reality, Apple does not focus its MacBook Neo on gamers, because it knows that although the A18 Pro is a truly remarkable SoCis not designed for that sector. The company has its Metal API to be able to run games and it is even possible to enjoy some native ones with some joy, but if what you want is to play (especially with top PC titles), the MacBook Neo is not your device. The laptop war for students. This counterattack from AMD is to be expected: the company has undoubtedly been affected by the enormous success of the MacBook Neo, and is trying to demonstrate that its proposals are just as valid or even better. The juicy niche of student laptops is at play here: if you convince a young person to opt for a MacBook Neo, they will likely end up trapped in the Apple ecosystem (if they weren’t already). Intel also reacts. Intel’s response to the MacBook Neo has not been an advertising campaign, but something much more tangible. The company has announced its platform Wildcat Lakechips made with 18A photolithography that are a priori up to 21% more powerful than the A18 Pro. Equipment like the Chuwi Unibook (from $449) are better at least with the specifications sheet in hand, but its real performance is for now an unknown and we will have to wait for independent analyzes. More options are coming. The Computex fair that took place two weeks ago also made it clear that other manufacturers they are going to try to take advantage this moment of uncertainty to sneak in their proposals. Qualcomm launched its Snapdragon C and Nvidia made something similar with their RTX Spark (we will see the prices). What is clear is that the launch of the MacBook Neo has awakened a segment that had become comfortable, and that is good: there will be a lot of competition and, above all, many options. In Xataka | Apple is selling so many MacBook Neos that it runs the risk of not being able to make more

I thought that in 2026 I could buy a cheap cell phone without worrying about anything. big mistake

I have spent half my life being especially critical when analyzing phones and, on the only occasion that I have decided to stop being so, I have hit a wall. We are in 2026, a year in which one might think that at this point in the game practically any phone newly launched on the market must work well. Mistake, big mistake. So I want to tell you how the component crisis in the technology sector and, to be honest, a certain apathy on the part of manufacturers, continues to make choosing an affordable mobile phone complex in 2026. Either we look closely at what we buy, or it may turn out to be a failure. The objectives. A mobile to send and receive WhatsAppsliterally. I wanted a phone whose main use was to manage communication with clients in one of my projects and, taking advantage of the fact that I had a new purchase, use it as GPS when I ride a motorcycle. The demands were minimal, there were practically no requirements other than that the cell phone worked decently. The expectation was not high either: I know that a low-end mobile phone does not work like a high-end one, not even like a mid-range one. I was just looking for something functional and simple. The search. I started the search, with phones over 100 euros. For that price it was practically impossible to access basic phones like the LITTLE M7which at least has a Snapdragon 685 (a processor, mind you, from 2023), so I had to continue lowering the bar. I ended up finding a 199 euro phone on sale for 89 euros on Aliexpress. One with 8 GB of RAM, 256 GB of internal memory… and a Helium G100 Ultra. the drama. The Helio G100 Ultra is an entry-level processor launched in 2024, relatively modern, and should have enough capacity to run basic applications. That’s what I thought. It’s been a while since I’ve tried an entry-level model. I thought that in 2026 things would be a little better, and I couldn’t be more wrong Almost two seconds to open the camera, lag in the launcher with the mobile newly configured, constant freezes and a performance that, after having tried other cheap mobile phones of a similar price (without offer), was simply unacceptable. And no, I’m not going to tell you the model so as not to draw blood, but it is one of the most popular mobile phones in Spain. Blind. One of the supposed advantages that it has brought us the semiconductor race is all about performance. For some time now, in certain ranges, my recommendations when asked which mobile phone to buy for The same does not happen with the entry ranges. Processors like Helium G99Helio G100, and even some Snapdragon 600 series (or Gen 6) are still barely moving basic apps. And the worrying thing is not how the phone performs right out of the box (which already performs poorly), it is how it will perform in a few years with some hardware degradation, system and app updates. big horse. At this point in the game there is something that is very clear to me, something that I have always defended: the processor It is much more important than we can think as average users. It is the heart of our mobile: The Gross Performance Manager The person in charge of the modem who will make us have better or worse coverage The element behind photo quality and camera performance The one that allows the final audio quality to be better or worse The one that helps to manage energy consumption more or less efficiently And here, even though the chip race continues at its pace, the high-end processors from a few years ago are noticeably superior to the entry-level ones. So between that high end of 2024 full of chicha and that newly released entry range… I’m clear about what I should have done. Image | Xataka In Xataka | Best mobile phones in quality price. Which one to buy based on use and nine recommended models

This is how he arrived eleven days ahead of schedule to his first big stop

The tunnel boring machine Mayrit This Tuesday, he crossed an important checkpoint in his journey to leave everything ready for expand line 11 of Metro Madrid. And it has burst into the gap of the future Madrid Río station, on Paseo de Yeserías, thus completing the first major geological section of the work, which is the crossing under the Manzanares River and the M-30 tunnels. The Minister of Housing, Transport and Infrastructure of the Community of Madrid, Jorge Rodrigo, was present at the event to receive the machine. At a good pace. At around 5:30 p.m., Mayrit starred in the cale, the technical name given to the moment when the two excavation fronts (the one that starts in Comillas and the one carried out from the Madrid Río side) meet and are aligned. Just like they count From La Razón, first came a dull noise from the bowels of the earth, then some loose stones and, finally, the impact of the cutting head breaking the station screen. Rodrigo celebrated it as “a moment of joy and pride,” according to the media. The breakdown also occurred eleven days earlier than expected. Numbers. Mayrit began its journey on March 26 from the future Comillas station, in Carabanchel, and in just over two months it has excavated 1,116 meters of tunnel, equivalent to 21% of the total planned for this branch. In its progress, it has installed 656 concrete rings, each one formed by seven rhomboidal-shaped voussoirs, which constitute the definitive covering of the gallery. As well as point El Diario, to cross under the M-30 and the Manzanares, the machine had to descend following the maximum admissible slope in railway infrastructure, around 35 thousandths, and ascend again until reaching the level of the station. Why has it gone faster than expected. The average pace has been about 15 meters per day, with peaks of up to 35 meters at the most favorable times. The general director of Infrastructure of the Community of Madrid, Miguel Núñez, explained that the key has been the soil: peñuelas clay, a soft material that can be found in the underground of Madrid and that behaves “very well” under the pressure of the tunnel boring machine. “We have doubled the theoretical yields because the geological characteristics of the soil, the latest generation machinery, and the segment rings that we have changed have made it reliable and safe to advance at that speed,” counted Núñez in statements collected by Europa Press. The change in the design of the voussoirs also helped, which became more rhomboidal in shape to improve fit and installation speed. Qtechnical plowing. For the next two weeks, the machine will remain housed in the future Madrid Río station. And this Tuesday only the head has arrived, since the remaining 98 meters of the tunnel boring machine will finish entering in the coming days. The idea is that it undergoes an in-depth review. Technicians will replace the most worn cutting head tools, check all computer and structural systems, and get the machine ready for the next leg. The next stage is the longest. Once reviewed, Mayrit will head to the Palos de la Frontera station, its next stop, 1,613 meters away, which is the longest stretch between two stations in the entire expansion. The Ministry’s forecast is that it will arrive there before the end of the summer. Then it will continue towards Atocha and, finally, Conde de Casal, which is the end point of the branch. In total, Mayrit still has more than 4,100 meters ahead of the 5,227 planned between Comillas and Conde de Casal. The seasons. In addition to the front of the tunnel boring machine, it should be noted that the works at the Comillas, Madrid Río and Palos de la Frontera stations are around 70% completed, while Atocha is at 50%. According to they count from 20 Minutos, Madrid Río, specifically, has three levels that reach more than 20 meters deep. The overall progress of the entire work now exceeds 45%. The project in perspective. This section is just one piece of a much larger scheme. As already we have reviewed other times, the investment in this phase exceeds 740 million euros and Line 11 is designed to become the great diagonal of the Madrid Metro network: 33.5 kilometers from Cuatro Vientos to Valdebebas, with 20 stations, connecting points such as Atocha, the airport or the future Formula 1 circuit in Ifema. The total investment in the project exceeds 2.5 billion euros and the works will be carried out in phases until 2031. The General Director of Infrastructure estimates that the complete excavation will take between 13 and 14 months, which would place the end of drilling around May or June 2027. Cover image | Metro Madrid and Community of Madrid In Xataka | Spain and Morocco have been dreaming of a tunnel under the Strait for 40 years. The great enemy of the project is called Umbral de Camarinal

This is how India prepares its next big leap in the chip industry

When we think about making chips, India is not usually the first country that comes to mind. We think of Taiwan, South Korea, the United States or China, but India often appears in another box: that of software, technological services or the assembly of electronic products. Precisely for this reason this movement is interesting. We are witnessing firsthand how a huge country seeks to advance towards one of the deepest and most difficult parts of the technological chain. The announcement is supported by a very specific alliance: Tata Electronics and ASML have signed a memorandum of understanding for the future Dholera semiconductor plant in Gujarat. The facility, which the release presents as India’s first 300mm commercial factory, has a planned investment of 11 billion dollars and will be aimed at producing semiconductors for a wide range of sectors. The agreement, Reuters points outwas signed on May 16 during Narendra Modi’s visit to the Netherlands, also attended by Dutch Prime Minister Rob Jetten. India’s commitment to chips is beginning to cease to be a promise The news comes accompanied by some interesting technical data that is worth analyzing carefully. The 300 mm figure may sound like a measurement of the chip, but it actually talks about the silicon wafer on which the semiconductors are manufactured, indicating the diameter of that circular surface, not the size of the transistors or the size of the final chips. It is a standard industrial platform for large-scale production, because it allows working with many units on the same wafer before cutting them and taking them to the next phases of the process. Furthermore, the statement places the Tata collaboration with PSMCPowerchip Semiconductor Manufacturing Corporation, as the gateway to a technology portfolio that includes 28nm, 40nm, 55nm, 90nm and 110nm. That list helps land the project much better than the 300 mm label, because it tells us which process families the plant plans to handle. In practice, we talk about analog and logic chips for automotive, mobile devices, consumer electronics, connectivity, IoT, embedded memory and other industrial uses. This is precisely where the Dutch company occupies a central position in the semiconductor industry. Their contribution does not simply consist of “setting up machines”, but rather supporting the start-up of the factory with lithography tools and solutions, the phase that allows the circuit patterns to be transferred to the silicon wafers. ASML also speaks training local talent, supply chain resilience and R&D infrastructure. It is a way to accompany Tata not only in the purchase of equipment, but in the industrial learning necessary for the plant to scale. ASML is known for its most sophisticated machines, but that doesn’t mean every deal of yours involves EUV either High-NA EUV. In this case, the available information speaks of lithography solutions for a process-oriented plant that they do not belong to the most advanced frontier. With these data, and in the absence of ASML detailing what specific systems it will supply, the most prudent reading is to place the project in the field of lithography DUV and the support ecosystem that allows stable production. TWINSCAN NXT:1980Di, one of the DUV machines that would fit with a factory like Tata’s This agreement comes at an interesting time for the Dutch company. ASML continues to occupy a central position in the sector, but the adoption of its most advanced technology is not being uniform among its large clients: TSMC, for example, continues to evaluate High-NA EUV, although for now it prefers to rely on current EUVs and process improvements rather than assume the cost and complexity of the new generation. Its executive Kevin Zhang summed it up with a very clear phrase: “I like the technology, but not the price.” In this context, an alliance like Tata’s reminds us of something important: the Dutch firm not only stands out for its most extreme machines, but also for its ability to accompany factories in different stages of industrial maturity. Reuters places the agreement in a broader context than that of a single factory. India has pledged billions of dollars in subsidies to attract semiconductor plants and related manufacturing, with eight projects underway, while Modi has encouraged Dutch companies to invest in areas such as semiconductors, renewable energy, digital technologies and health. At the same time, Dutch companies in the sector look for new markets and more geographical diversification in a scenario marked by export controls and trade restrictions linked to technological rivalry between the United States and China. As we can see, the move does not put India, at least for now, at the top of the semiconductor industry, but it does bring it closer to manufacturing chips at scale with proven processes and sustained demand. That difference matters. The industry does not only live on the most advanced semiconductors, but also on a huge base of components present in devices that surround us, such as everyday electronics and the automotive industry, as well as those that play in another field, such as industrial systems. Images | Tata Electronics | ASML In Xataka | Manufacturing 60 machines a year may not seem like much. In practice, those of the European ASML are setting the pace of AI

The big question behind the US visit to Beijing is not Taiwan. They are two Chinese SUVs with roofs that have fired the imagination

The scene took place in 2018, during a military parade in Moscow. So several Western analysts spent hours trying to identify a strange russian truck covered by tarps and antennas of which no one offered explanations. Years later it was learned that it was part of one of the systems electronic warfare most advanced in the Kremlin. Since then, every rare vehicle that appears near a world leader has ceased to seem like a simple logistical eccentricity. Two SUVs and an uncomfortable question. For years, American presidential visits to Beijing revolved around the same topics: Taiwan, trade, sanctions or the military balance in Asia. However, they had TWZ analysts that in Donald Trump’s recent visit there was a detail that ended up attracting much more attention among military analysts and technological observers: two Chinese Hongqi SUVs with huge modified roofs that seemed to hide some kind of special system. They were not particularly elegant or discreet. In fact, they seemed heavy and strange. That is precisely why they attracted so much attention. The feeling they left is that China wanted teach something without showing it really. The big question after the trip was no longer just what Washington and Beijing had talked about, but what the hell exactly those vehicles were hiding. Modern warfare and protecting the sky. The most repeated theory links to something that we have been countingand these roofs could house electronic warfare systems, advanced communications or even anti-drone capabilities. The idea makes sense because the presidential caravans begin to face a relatively new problem: cheap drones capable of threatening even extremely protected world leaders. Ukraine, the Middle East and the Red Sea have shown that it no longer takes a sophisticated missile to create a huge security problem. That’s it forcing to transform VIP convoys in small fortresses mobile electronics. The Hongqi seen in Beijing fit perfectly in that trend: lots of interior space, extra weight and modifications probably designed to transport complex equipment rather than people. Caravan converted into a command center. The interesting thing is that those SUVs were not an isolated anomaly. The caravan also included Modified Suburbans, Lincoln Navigators, and Ford vans with antennas, sensors, and special roof structures. Everything suggested a mobile architecture of communications, surveillance and electronic interference much more sophisticated than usual. In practice, presidential convoys are beginning to look less like simple armored columns and more to command centers capable of operating in environments saturated with drones, electronic signals and autonomous threats. Not only that. Analysts recalled that China also used Hongqi vehicles, a brand very historically linked to Chinese political power, reinforces another important idea: Beijing wants to demonstrate that it can develop this type of strategic capabilities with its own national platforms. The new competition between powers. For a long time, the rivalry between China and the United States was measured with aircraft carriers, stealth fighters or hypersonic missiles. Now it’s starting to appear another competition quieter: who masters electronic and anti-drone protection in real scenarios. The recent wars have shown that nearby airspace has become extremely dangerous even far from the front. This requires protecting infrastructure, convoys and political leaders in completely new ways. In this context, a jamming system can be as important as traditional shielding. Beijing’s SUVs reflect precisely this change in mentality. Deliberately ambiguous message. Of course also, perhaps the most important thing is that no one really knows what those vehicles were transporting. And that uncertainty is probably part of the message. In today’s technological competition, projecting unknown capabilities is also a form of deterrence. The huge Hongqi roofs they seem designed to provoke questions rather than offer answers. Be that as it may, his appearance on a high-level presidential visit leaves a clear conclusion: while much of the world continues to look at Taiwan, Ukraine or Iran, China seems determined to teach discreetly something else. That the next great military revolution could not be in large visible platforms, but in mobile, discreet electronic systems prepared for a war dominated by drones. Now that Russia is about to fall in Beijing, it will be time to see if they show those SUVs again. Image | x In Xataka | Something is happening over the skies of Chile: the US and China are fighting their particular “cold war” in silence In Xataka | The US’s problem in the AI ​​and humanoid race is not China: it is all of Asia and it is greatly disadvantaged

Chinese Big Tech can now buy Nvidia GPUs. The problem for Nvidia is that they don’t need it now

The United States and China are immersed in a trade and technological war that has caught the line of fire to the AI ​​giant: Nvidia. The situation is that Nvidia must prioritize AI companies from the United States to guarantee the supremacy of this country, but as a company it would be interested in taking a bite out of the giant Chinese market. And the problem is twofold: it has not been able to do so for a long time due to trade vetoes, but now that it seems that it can sell its famous H200 to China, it turns out that China has turned the page. More or less. green light. Nvidia has gone from having a monopoly on AI GPUs in China to have a 0% quota. These are the words of the CEO, Jensen Huang, and the reason is the aforementioned trade restrictions between the powers that prevented Nvidia from selling its most powerful products to the Asian giant. Huang has spent months insisting on Donald Trump’s government to allow them to sell with a very clear logic: China is going to develop its alternatives and what better way to make a profit until then. The situation is gone relaxing at the end of last year and at the beginning of this to get to the point where we are now. According to Reutersthe US Department of Commerce already allows ten Chinese companies and distributors such as Foxconn and Lenovo acquire that long-awaited H200the company’s second most powerful AI chip. Good news for the company. Or they should be if it weren’t for the fact that the Chinese industry is going its own way looking home. Alibaba, ByteDance, JD.com and Tencent are the Chinese giants that can supposedly already buy H200. Up to 75,000 chips each, to be exact. However, it is noted that they have not yet made any shipments. Here there is a mix between very restrictive bureaucracy and, above all, that emphasis on national development. Tencent, for example, noted in September last year that they had no intention of producing AI chips, but that they were going to invest a lot of money in domestic partners. For example, they are in the process of adapting their infrastructure to be able to connect Huawei’s Ascend platform (particularly the Ascend 950 series) as the main training tool for large models. A few days ago, Tencent’s strategy director already pointed out that that strategy was still in place and that the company expects a significant increase in spending on AI GPUs designed in China. Manufacturing at home. Alibaba and Bytedance have a different approach. If Tencent is focusing on acquiring Huawei platforms, Alibaba and Bytedance are looking to create their own chips. Alibaba seeks to be the most powerful RISC-V chip created to date and it was reported that Bytedance wanted Samsung will manufacture its processor. In the end, whether buying from Huawei or developing the tool internally, the two approaches respond to the great national objective: that at least 50% of the data centers that belong to the State use at least 50% Chinese integrated circuits in their servers. That is one of the great Chinese technological impulses of recent years, one of the crucial points of the Five-Year Plan for the development of the country and, above all, the strategy that Nvidia had been warning the United States about for some time. The age of inference. Because this period of ostracism to which the US condemned China has served for the country to develop three very clear alternatives to Nvidia and encourage companies that are already working with models to develop their own hardware. This is important especially in the new AI framework we are entering, that of inference. Although the AI ​​will continue to train and GPUs will be needed for this, the next step is inference, the agentic era in which the processor or CPU is very important. AMD is moving there, same as Intel or ARMand precisely processors are something that Huawei is good at and in which the Chinese giants can shine as much as their American counterpart by developing chips tailored to their models and needs. Also, as pointed out in CNBChaving your own chips means you don’t have to fight with anyone else in a time when there is scarcity and, of course, if you don’t have to buy from an outsider, there is an improvement in the gross income margin. juicy cake. And this leaves Nvidia in that uncomfortable situation, one in which it wants to participate, but in which it seems that it is no longer needed as much as before. Because China is developing its chips for this new era of AI and Nvidia is running into a final boss called bureaucracy and the pressure groups of the ‘Make America Great Again‘. The first is due to the slowness of the export order processes, something that takes months when orders should be much more agile. The second are the aforementioned pressure groups that hold that any deals Nvidia makes with Chinese companies are less chips for American companies, something that should not be allowed. Meanwhile, Chinese companies are developing their alternatives and Huawei wants to flood the market with 750,000 chips this year, three times more than its shipments in 2025, and Nvidia is falling short of a $50 billion pie. In Xataka | The US has the best AI models. China has something else: AI too cheap to care about

The V60 has been an icon of specialty coffee for 20 years. Its first big update is coffee for coffee lovers

When you enter a specialty cafe and they have ‘V60’ on the menu, you automatically know that things have to be very bad for them to not make good coffee. The V60 is to filter coffee what the Bialetti is to italian coffee maker: a symbol, a declaration of intentions and a ‘gadget’ with a design so perfect that it has not had to be modified in its 20 years of life. Until now. Hario launched the original V60 around 2004 in a show of how a simple and functional design could be perfect for any level. Simply put, it is a cone with a 60 degree inclination (hence the name) that can be placed on top of your jug, any jug or even a cup. In that cone we place a paper filter, add the coffee, hot water and the coffee solution flows to the container. It is simple and came to solve the problem that Hario had detected in the percolation coffee makers that dominated in the 80s: those typical ones that many of our grandmothers have at home and that are the ones that appear in any American series in which the coffee remained there passively soaking until it came out under its own gravity and the jet black liquid was deposited in the jug. The classic V60 It was not what best extracted all the nuances of the coffee and Hario implemented three design ideas: The cone at 60 degrees so that the water tends to the center, lengthening the contact time without the need to create a long-lasting ‘pond’. A single exit hole which made it easy to make coffee for non-expert users, but also gave a lot of control possibilities to the expert user. By restricting the water channel, pouring speed, exposure time or grinding, different “recipes” can be created. Spiral striations on the cone. These “ribs” have a lot of technology behind them because they serve to release air between the filter and the wall, avoiding the suction effect of the paper and causing the filter to expand as the coffee releases the product. The translation is that Hario designed a coffee maker that combined simplicity, complication capacity for experts and that rib design that was very well thought out to facilitate a relatively quick extraction while being able to extract all the nuances of the coffee. It was so perfect that, over these 20 years, it really hasn’t changed beyond different sizes for the cone or the plastics and glass that came after the original Japanese porcelain version. There were some little problems and limitations and they released an accessory, the Hario Switch, but the most important thing of all is that the V60 was a good, versatile and very, very economical coffee maker that, as we say, there was no need to touch. And, then, Hario… touched her. The V60 Neo In what seems like a clear “find the differences” exercise, Hario presented the Hario V60 Neo. If you are not very involved in the coffee world and the new one seems the same as the old one, I have to tell you that the Neo was a tsunami that stirred up coffee content creators. It was the first time that Hario redesigned the conethe core of the V60, and has done so in two ways: design and material. The new V60 The material issue is the easiest to explain. The Neo is manufactured in a resin called ‘tritan’a plastic that retains great transparency, is resistant to both heat and impacts and has properties that make it very good in an essential issue for the most enthusiasts: very good thermal retention. This allows the temperature to remain stable during extraction so that the processes are more constant and it is easier to replicate a good coffee. The second change is the one that has drawn the most attention is a new geometry. From the larger “ribs,” Hario transitions to 72 microribs at the top that converge into nine channels at the base. The explanation is that these grooves will now guide the water much more uniformly, while the nine exit grooves ensure a clearer path towards the hole, minimizing the dreaded channeling. This channeling thing is interesting. because in any coffee maker, the water passes through the coffee and what it looks for is the least resistance in its path. If it encounters little resistance in one point, it will go that way, failing to go through other areas and, therefore, not extracting the solution that it could extract from the entire coffee. With the new design, what Hario suggests is that these channels will be minimized while we will be able to achieve a more uniform extraction. It seems like a lie, but there is a lot of technique in a cone that looks the same as the one from 20 years ago, but that makes sense if we look at the narrative of a brand that, it claims, has been working on prototypes and playing with fluid dynamics for two years. Is she a motorcycle dealer? Well… I don’t know. I have the original V60 and I am clear that my skills do not reach the point of thinking that those microribs are what I was missing to finish making the perfect coffee at home. I have not the slightest interest in this V60 Neo and, although it makes sense from the point of view of the very specific needs of a tiny niche of baristas, At home I don’t think it’s something different.. In fact, what interests me most about the new V60 is that they have kept the price very similar, so it remains one of the most affordable coffee makers with which to prepare a very good specialty coffee at home and, above all, it shows that a simple design, even if it can be intricate with micro-rib technology, triumphs if from the first moment it is a product that makes sense and that is … Read more

Big Tech spent $725 billion on AI. Then they ran out of money in their pockets.

This is non-stop. Big tech companies have already spent an irreverent amount of money in 2025 to not lose footing in the AI ​​race, but this year things are getting better. Together Amazon, Microsoft, Google and Meta have announced a capex of $725 billion, which represents an astonishing 77% growth over last year’s (also astonishing) figure of $410 billion. The numbers they are dizzyingbut they are having a worrying consequence. A lot of money saved. For years, Big Tech has been able to boast extraordinary accounting books in which revenues and profits have practically not stopped growing. They’ve built up exceptional cash flow, but now they’re taking advantage of all that money to fund an AI race that doesn’t seem to end at the moment. Cash flow plummets. The amount of investments is of such magnitude that all of these hyperscalers have encountered a problem: their cash flow—the available liquidity— has collapsedthey indicate in the Financial Times, and now it is at levels that we have not seen since 2014. Before, the average was to have 45,000 million dollars since the pandemic, but now that figure is expected to fall to 4,000 million in the third quarter of 2025. Source: Financial Times. Let’s see who spends more. Amazon leads this unique race for spend more than others. The company led by Andy Jassy foresees an investment of 200,000 million dollars in 2026, which will lead it to burn about 10,000 million of its cash flow this year. Meta will continue that same trend in the second half of the year, while Microsoft could enter negative territory in at least one quarter. Even Google, which remains positive, will post its lowest level of cash flow in a decade. Debt, new fuel for AI. To finance this deployment, both Alphabet and Meta have had to resort to massive debt issues and suspend their share buyback programs for the first time in almost a decade. Alphabet issued $48 billion in bonds recently (in February a partdoes some days other), while Meta sumo 55,000 million debt in just six months. Bet now to win later. This strategy marks a paradigm shift: it is no longer investing only with the income one has in cash, but Big Tech is mortgaging its future. The objective is what we have mentioned time and time again: not to lose step in a race where, as Zuckerberg said, staying behind is not an option. Disguising the beads. These companies fear Wall Street’s reaction to these movements, so they are moving billions of dollars in infrastructure but they are doing so outside of their conventional balance sheets. In the FT they explain how Big Tech are using special investment vehicles that allow them to attract external capital and hide debt. They are also more opaque about who will be impacted if the AI ​​does not meet expectations. The memory crisis is also having an impact: in such a way that Microsoft already has added 25 billion dollars to its investment needs this year just to be able to assume the increase in component prices. The danger of going with the flow. CEOs justify these moves by comparing them to what happened with cloud investment two decades ago, but analysts warn: investing when the competition invests is not always a strategic choice, but rather a forced response to staying out of the race. In Xataka | The chip crisis is leaving no stone unturned: motherboards seemed untouchable, but their time has come

The day a small dispute over the Tab key ended up revealing the big difference between IBM and Microsoft

There are companies that have lived so long that their story is no longer told only through big launches, acquisitions or business battles. It is also told in small details, in those seemingly minor scenes that, seen over time, end up explaining an era better than many official statements. Microsoft and IBM belong to that category. Their paths crossed when the personal computer It was still defining many of its rules, and some of those discussions, even the most minute ones, revealed something deeper than a technical difference. The scene has been recovered Raymond Chena veteran Microsoft engineer who has been linked to the evolution of Windows for more than three decades and who for years has gathered in The Old New Thing some of the most curious stories of the Windows and Microsoft ecosystem. Chen does not present the episode as his own experience, but as the memory of a colleague who was assigned to the IBM offices in Boca Raton, Florida, during the collaboration between both companies in OS/2. OS/2 was much more than just another name lost in software history. IBM and Microsoft presented it in 1987 as an operating system designed for the IBM PS/2 line and intended to take the PC beyond the limitations of DOS, with a more modern base and ambitions typical of computing that was beginning to look further afield. The collaboration came from a joint development agreement signed in 1985when the project was not yet called OS/2. In that context, any interface decision could have more weight than it seems today, because many conventions of the modern PC were still being established. Two very similar and also very different companies The problem is that that collaboration brought together two companies at very different times in their lives. Microsoft was still a young company, very attached to software and a more direct way of working, while IBM arrived with decades of history, a huge structure and the weight of a much more established corporate culture. Chen sums it up like a clash of perceptions: from Microsoft, IBM was seen as trapped in a meaningless bureaucracy, and from IBM, Microsoft was seen as undisciplined hackers. Its own nuance is important: there was probably something right in both readings. The specific anecdote begins in Boca Raton, where a colleague of Chen’s worked assigned to the IBM offices. At some point a discussion arose about which key should be used to move from one field to another within the dialog boxes. The Microsoft engineer made a decision that is almost invisible to us today because of how assumed it is: use Tab for that function. IBM was not convinced by the choice and asked that the matter will be escalated to the person responsible from that engineer in Redmond, a reaction that already hinted at the extent to which the discrepancy went beyond the key itself. In Redmond, the petition was not understood as an issue that deserved to be raised much higher. The engineer’s manager responded with a very clear idea: if Microsoft had sent someone to Boca Raton, it was so that they could resolve decisions like that there. Translated into a more institutional tone, the message that came back to IBM was that Microsoft supported the choice of the Tab key. IBM’s reaction was just the opposite. Instead of shutting down the discussion, the company elevated her up its own chain of command to a vice president, several levels above those who were programming. IBM had not only elevated the discussion, it also wanted a response to the same hierarchical height. If its vice president was against using Tab, Microsoft had to find someone equivalent to argue the opposite. Chen’s colleague then responded with a wonderful phrase, translated here into Spanish: “Bill Gates’ mother is not interested in the Tab key“It was a pretty nice way of saying that it wasn’t worth going up the corporate elevator anymore. It wasn’t necessary to go to the heights of Microsoft to decide how to move from one field to another in a dialog box. The phrase worked, at least according to Chen’s account: apparently, after that response, the discussion ended and Tab remained the key chosen to advance between fields. The detail is funny because today almost no one stops to think about it: we simply press Tab and wait for the cursor to jump to the next available space. But there was a time when that convention was not so closed. And what we see in this story is just that: a small interface decision turned into a clash between custom, hierarchy and technical criteria. The exact date, however, does not appear in Chen’s account. We know that the episode belongs to the years of collaboration between Microsoft and IBM around OS/2, whose joint development agreement dates back to 1985 and whose Public arrival occurred in 1987. This allows us to limit the context, but not to set the day or year of the discussion by Tab. There are many decisions behind the products and services we use every day. Some are huge and visible, but others fly under the radar: a key, a gesture, an interface convention that we learn once and repeat for years without wondering where it came from. Surely many have a story behind them, although most never transcend and others would not be particularly interesting. From time to time, however, an anecdote like this appears and allows us to peek into something we almost never see: how things are handled within the companies that build the technology we use. Images | Kaatvrtg (Wikimedia Commons) | In Xataka | In 1993 Microsoft created Encarta to revolutionize knowledge. Twenty years later it would be devastated by a tsunami

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