promised

The United States promised to be very happy manufacturing its own chips. Nvidia just spent 150 billion in Taiwan

by

Houston, we have a problem. A couple of days ago the CEO of Nvidia stood on the stage at Computex in Taipei and said an inconvenient truth for the United States: “Taiwan is the epicenter of the AI ​​revolution. This is where chips and packaging are made. This is where systems are created. This is where AI supercomputers were created.” The setting was Computex 2026, Asia’s biggest tech event, and it wasn’t a compliment to the host, it’s a real depiction of how the industry works. It may sound paradoxical for an American company and at a time when The United States wants to reindustrialize with chipsbut he needs it. It is a structural issue. The harsh reality of profitability. Nvidia plans spend 150,000 million dollars a year in Taiwan, much more than the 100,000 million they spend now and with an abysmal difference compared to the 10,000 and 15,000 million five years ago. If it sounds silly, it’s because it is, but so is its billing: in the first fiscal quarter of 2026 billed 81.6 billion dollars, 85% more than the previous year in that same period. Also its benefit it’s already going off the charts: 58.3 billion, more than triple compared to the same period last year. That this money goes to Taiwan and not to the United States is due to technical and objective issues: Taiwan produces 90% of the most advanced chips in the world, according to a study by the Stimson Center. Of that Taiwanese production, TSMC controls 70% and is going to invest between 52,000 and 56,000 million this year. Bottom line: If Nvidia wants cutting-edge manufacturing capability, it has to be there. Why is it important. The best way to see it is to put Vera Rubin on the table, who In Huang’s words it is “probably the biggest product launch in Taiwan’s history.” Each system contains about two million parts and is assembled with 150 suppliers, almost all Taiwanese. This mechanism is not assembled by decree or in a legislature: it requires years and putting billions of dollars on the table. There is no factory in Arizona that can do something like this at least until 2030. Constellation will be Nvidia’s new headquarters in Taipei and will come to stay permanently: 4,000 engineering professionals will work in that center that according to Huang It will be operational by 2030. It is no longer that it buys in Taiwan, it is that the most valuable semiconductor company in the world is building the heart of its R&D in that core, an island 10,000 kilometers from the United States. A splash of cold water on Trump’s aspirations. Context. In January 2026, Taiwanese companies they committed to invest $250 billion in semiconductors and AI in the United States, as part of a trade agreement with Washington. Because Taiwan and the US are a symbiosis: each needs the other to maintain its position in the race for AI. The investment of a private company like Nvidia is another expression of this pact. In fact, Nvidia is not the only one: AMD is doing exactly the same: associate with Taiwanese manufacturers such as ASE, SPIL and Wiwynn with their Helios AI platform on the horizon (expected for the second half of 2026). That the two largest AI chip designers in the world strengthen ties with Taiwan is confirmation that the island’s industry is strategically necessary for the entire industry, not a particular bet by one firm. The elephant in the room: China. China’s role in this story is twofold: it is a threat and also a client. According to Reutersin 2026 Chinese companies have placed orders for more than two million units of the H200. Trade restrictions have made the operation difficult, but they have not been able to prevent it. One of the last cases point upon the arrival of a shipment of Nvidia AI chips to China via Japan. Nvidia lives in a contradiction from which it cannot escape: Its supply chain is on an island that China considers its own. China, which is its largest potential market, is blocked. Washington prohibits him from selling to Beijing while asking for independence from Taipei. And judging by his statements, Jensen Huang has bet everything on continuing to walk that wire. Yes, but. The Nvidia CEO forgot one problem in his speech: Taiwan makes the overwhelming majority of the world’s most advanced chips, but TSMC’s diversification into Arizona, Japan and Germany will not be ready before 2028 at best. That is to say, there are almost four years ahead in which Nvidia depends totally on Taiwan, a country that matters 97% of your energy. Furthermore, the atmosphere in the Strait of the same name is increasingly heated. Concentrating the production of its most critical component in a geographically hot spot is dangerous to say the least: if something explodes, there is no plan B. The closure of the Strait of Hormuz has reminded us of this the hard way. In Xataka | Huawei has found a way to counteract US sanctions: overcoming Moore’s Law In Xataka | US companies have always had a hard time making a lot of money in China. One industry is the exception: chips Cover | freepik and Jimmy Liao

They promised us Rapunzel’s hair with very expensive cosmetics. Science says the real secret has been in your kitchen for millennia

by

Mythical representations of women, whether Botticelli’s Venus, the Hindu goddess Lakshmi or the maidens of Arthurian legends, often share an unmistakable trait: long, flowing and seemingly unattainable hair. It’s easy to think that such lengths are confined to the realm of mythology, untouched by the harsh reality of split ends and frizz. However, just swipe through TikTok or Instagram to find content creators sporting hair that would rival Rapunzel herself. Many of these influencers They promise that your hair has grown at a dizzying rate thanks to a specific technique: hair oiling or hair oiling. But, faced with shelves full of exotic formulas and luxury serums, an inevitable question arises: do we really need expensive products or has the ancient secret always been hidden in our kitchen in the form of olive oil? The resurgence of an ancient ritual. Although the term hair oiling It may sound like a modern invention packaged for Generation Z, the reality is very different. This practice was not born yesterday under the ring of light of a smartphone. Hair oiling is a technique deeply rooted in ayurvedic medicine from India, with Sanskrit texts from more than 5,000 years ago that already recommended infusing hair with natural oils to restore its shine and relax the mind. Likewise, in ancient Egypt also ointments were used based on animal fat or castor oil for similar purposes. What has changed then? The showcase. He hair oiling In a few months it has gone from being a “legacy trick” to an essential aesthetic ritual. Social media has choreographed it into a highly recognizable scene that includes a slow massage, meticulous application of oils before washing, a warm towel, and blow-drying to an incredibly shiny finish (glossy). Among the avalanche of coconut, argan and jojoba oils, olive oil has begun to reclaim its throne, not only because of its accessibility, but because it has historically been the cornerstone of Mediterranean cosmetics and the basis for extracting the properties of countless medicinal plants. The science behind the shine. Beyond visual aesthetics, the big question is whether slathering your hair in oil really works. The answer from science is a resounding yes, although with important nuances. Rocío Lajarín, doctor in Pharmacy and CEO of Alma Secret, explains in GQ that hair is made up of 90% proteins, mainly keratin. “When we use oils with structural affinity, we manage to reduce protein loss and reinforce the resistance of the hair shaft,” he says. The portal Healthline adds that regular oiling reduces “hygral fatigue” (the repetitive swelling and drying of the hair fiber when wet), acting as a cement that protects the cuticles. If we focus on “liquid gold”, clinical studies support its many benefits: Deep hydration and elasticity: An investigation of the Journal of Cosmetic Science demonstrates how olive oil It penetrates the hair fiber thanks to its high content of essential fatty acids, significantly improving hydration and resistance to breakage. A cocktail of vitamins: Virgin olive oil rejuvenates hair because it contains vitamin E, vitamin C (which stimulates collagen formation) and vitamin A (enhancers cell regeneration). Shield against damage and the sun: The International Journal of Trichology emphasizes that extra virgin olive oil contains hydroxytyrosol, a polyphenol that fights free radicals and cellular damage induced by UV-A rays. In addition, it is highly effective in reducing damage after subjecting hair to chemical processes such as dyes. Antifungal action: The same International Journal of Trichology points out that olive oil has an inhibitory influence on fungi that attack hair, such as Microsporum gypseum. The great debate: Does it make hair grow? This is where dermatology collides with internet myths. Dermatologist Andrea Combalia warns in Telva that at hair oiling “Many benefits are being attributed to it that are not real, such as hair growing faster or increasing its density.” Doctors consulted in Cleveland Clinic They agree that growth rate and thickness are predetermined by genetics, age and hormones. Oils prevent breakage (allowing length to be retained), but do not accelerate the growth phase from the follicle. However, dermatologist Ana Molina contributes in Trends a fascinating fact. It has been observed that the phytoestrogens present in olive oil can have an antiandrogenic effect by inhibiting the enzyme 5-alpha-reductase (which converts testosterone into DHT). Since DHT causes miniaturization of follicles in androgenetic alopecia, “phytoestrogens may help prevent or slow its progression.” Roots or just tips? This is the point of greatest controversy. Oiling the scalp before washing protects the lipid barrier of the skin against the aggressive surfactants in the shampoo. However, hairdresser Daniel Gil in Marie Claire and Dr. Steven Walker in GQ They are blunt: if you have an oily scalp or suffer from seborrheic dermatitis, you should avoid applying oils directly to the roots. Dr. Shilpi Khetarpal of the Cleveland Clinic confirms this: if you are prone to dandruff, applying oil can worsen the problem by feeding the fungus Malasseziacausing more inflammation. In these cases, the hair oiling It should be strictly from medium to ends. A ritual with common sense. At the end of the day, olive oil is not going to rewrite your hair genetics or magically transform you into a Renaissance painting. What science tells us is much more pragmatic and, at the same time, liberating. The true value of this trend lies in understanding hair care as a ritual that respects our natural hair structure, and not as a compulsive accumulation of synthetic cosmetics. Olive oil is a powerful, accessible and dermatologically endorsed tool to defend our hair from pollution, the heat of straighteners and daily wear and tear. Applied with common sense, the liquid gold of our Mediterranean diet is also confirmed as the best cosmetic in our bathroom. Image | Photo by Curology on Unsplash Xataka | For years we blamed stress for baldness without understanding why. Science has just found the missing link

The manufacturers promised them happy with “Ultra” phones up to the top of specs. The RAM crisis has other plans for them

by

Being an Ultra is not usually the best, unless you are a mobile phone. For years, manufacturers have been throwing darts at each other, launching models designed by and to demonstrate muscle. There was a manufacturer who threw the first stone, and the rest began to follow him. Today, with the component crisis that AI is causing, are in danger. The beginning of everything. The first “Ultra” mobile phone on the market was the Samsung Galaxy S20 Ultra. The company did a fairly marketing exercise: 108 megapixel camera, 100x zoom… everything in a big way. Was it the best Galaxy to date? Yes. Was it a strategy to set a new industry standard through an even more striking surname? Also. China wakes up. China was quick to react to Samsung’s message. Xiaomi responded with the Xiaomi Mi 10 Ultraa phone that debuted 120W fast charging (absolute nonsense a few years ago), 120x zoom to surpass Samsung, and even a transparent finish to show off its hardware. It was the first Chinese mobile phone to fully enter the war: “we are going to put absolutely everything we can into a mobile phone, whether it is useful or not.” And from then on, the party began. Raised to the absurd. The war to launch increasingly powerful Ultra models is beginning to move away from its original objective. Samsung launched a first model with oversized specs, but with a certain commercial purpose. Manufacturers like Vivo launch phones like the 300Ultra They are sold directly in a kit that makes their price practically unattainable, and some of the direct rivals of Samsung and Apple surpass Western brands in price. Chinese manufacturers do not want to sell them, they want to continue demonstrating technological leadership. in check. As pointed out Ice Universethe flagship Ultra is in danger, and some of the big Chinese brands are considering pausing this product line. The Chinese Ultra is not born to sell in volume, and the Pro models or series number (Xiaomi 17simply) are those who are born to sell, even in China. The increase in costs of components such as internal memory or RAM makes launching Ultra models even more complicated, unless the manufacturer wants to raise the price to the absurd. Yes, but. Despite Ice’s predictions, it seems unlikely that the RAM crisis could completely knock down the Ultra models. Manufacturers have been betting for years on a strategy that allows them to reduce costs and continue advancing in their product line: launching exactly the same mobile year after year, but with some additional touches. This allows you to contain costs, recycle parts and reduce R&D spending, while maintaining memory configurations that cannot be reversed. Be that as it may, it seems inevitable that the RAM crisis will completely affect the mobile market, and that in 2027 we will see progress in dribs and drabs. In Xataka | The best mobile phones (2026), we have tested them and here are their analyzes

AI promised to decentralize knowledge. It’s doing exactly the opposite.

by

The entire AI debate revolves around the same thing: employment, deepfakes, copyright, automation. They are reasonable questions. But there is one that matters on a higher level: who controls what the AI ​​considers to be the truth? Because AI, which seemed like the great decentralizer, is actually the most centralizing technology since the printing press. The backdrop. When the printing press arrived, Protestant reformers saw it as the end of the papal monopoly on knowledge: if anyone could read the Bible, the pope lost his authority. And they were partly right. But the printing press also standardized English as the dominant language, liquidated regional dialects and, in the process, made the modern State possible: without cheap and reproducible text there are no uniform laws or large-scale tax collection. What seemed like a liberation was also a centralization. Only it took us two centuries to realize it. Between the lines. With AI the process goes much faster. When Google shows a response from Gemini in AI Overviewshalf of the users it doesn’t click on anything anymore and 26% close the search directly. Searches without clicks have gone from 54% to 72%. The open web, with all its diversity and chaos, is losing users to a single synthesized answer, such as journalist Jerusalem Demsas has analyzed in The Argument. And that response is not neutral. The LLMs They train mainly with large Anglophone newspapers, Wikipedia and academic texts. Local or minority sources hardly exist in the corpus. And during fine-tuning the models are calibrated to align with expert consensus and avoid awkward positions. It is not a mirror of human diversity but a photo of what appears at the center of it. Yes, but. It can be argued that users can ask the AI ​​to defend any position and that diversity is in use if not in production. It is an argument that has some reason. But the printing press also produced very varied content, what was centralized was who set the standards. Here the standards are set by a corpus Made in Silicon Valley for Western chatbots. The case of Grok It is quite illustrative. When Musk tried to move the model away from the progressive consensus, the system began generating anti-Semitic content within days. He had to turn back. The values ​​of an LLM are not in a superficial layer that can be retouched, they are stuck in the corpus from the beginning. The big question. ChatGPT is getting closer to the billion weekly users. Elite models are developed by a few companies: OpenAI, Anthropic and Google, mainly. We can add xAI. What comes next comes from China: DeepSeek, Moonshot, Alibaba… The researchers of these elite models, to a large extent, have studied in the same places, have worked in the same offices and share, in general terms, the same cultural references. The risk of this decentralization is not that AI lies more than Google. The risk is that when AI makes mistakes, it does so towards the center, not towards conspiracism. The risk is that this center is being set, without anyone having decided, by a few people in San Francisco. In Xataka | As far as we know, the agency that supervises AI in Spain is not supervising anything. What it does have is an Ideas Laboratory Featured image | Xataka

The ‘vibe coding’ promised to democratize software. Your first gift is 5,000 apps with open sensitive data

by

An investigation by the firm RedAccess has found more than 5,000 applications created with tools vibe coding which practically lack authentication. Anyone who stumbles upon its URL can enter. Of those 5,000, 2,000 appeared to contain private data upon inspection. The finding covers apps generated with Lovable, Replit, Base44 and Netlify, four of the platforms that have most popularized describing a program with words and letting a LLM write it. Why is it important. The promise of vibe coding is that anyone, without knowing how to program, can build software. The catch is that this same “anyone” also doesn’t know what questions to ask an application before releasing it on the Internet. The result is a new category of breaches caused not by careless employees or advanced attackers, but by people who have thrown together an internal tool in an afternoon without going through anyone on the security team. In detail. Researchers have located these applications by doing normal searches on Google and Bing, combining the domains of each platform with generic terms. Nothing of hacking: It’s more like reverse engineering a search engine. What appeared behind those URLs included hospital quadrants with doctor data, company strategy presentations, complete records of chatbot conversations with customers (with names and telephone numbers), and freight books from transport companies. In some cases, access even allowed them to gain administrator privileges and expel others. Between the lines. The platforms involved have responded with the predictable argument: it is the user’s fault. Replit remembers that its apps can be marked as private with one click. Base44 maintains that its access controls are robust and that disabling them is a conscious decision. Lovable points out that its role is to provide tools, not configure them for anyone. It is a valid argument and, above all, comfortable. It is also the same one that Amazon used with the buckets Misconfigured S3 leaking Verizon data or from WWE: the setting was there, but the user didn’t find it. The context. He vibe coding takes an old problem to a new level. Every time a layer of abstraction has democratized a craft (like spreadsheets, the wrappers of AI or web templates), the newly arrived group has arrived without the baggage of good practices that the previous one had. What changes now is the speed. Someone from a non-technical department can create a tool in two minutes and upload it to production without it going through IT. Yes, but. The AI ​​models that generate the code are not neutral agents. They do what is asked of them, no more, no less. If no one tells them “protect this in X way and implement Y,” they won’t do it. Security by default is still not a learned behavior in most of these tools, and that is a design decision of the platforms, not the end user. The consequence is foreseeable. There are going to be many more leaks like the ones RedAccess has caught before the industry internalizes that a “publish” button should not coexist with a privacy setting hidden three menus below. In Xataka | I have lived the “miracle” of vibe coding: this is how I programmed an Android TV app without having any idea about programming Featured image | Xataka

BYD promised them very happy by putting very advanced ADAS in very cheap cars. Until the RAM crisis came

by

In recent years, BYD had turned its brand new advanced driving system into one of the biggest arguments to confront Tesla. And having this type of technology in affordable cars can be attractive to the consumer, but it has a cost that other companies can hardly absorb. BYD thought so, but the RAM crisis It has stopped him, and the context is now much more complicated. Prices go up. BYD just announced in China a 21% increase in the price of the ‘DiPilot 300’ option (basically its “God’s Eye” in its version with LiDAR), which goes from 9,900 to 12,000 yuan (about 1,560 euros). The company justifies the measure by the “significant increase in global storage hardware costs.” In other words, DRAM memory and storage have become so expensive that they can no longer absorb the cost without passing it on to the customer. Until now, no major manufacturer had so explicitly linked a price increase to the memory market, according to collect South China Morning Post. In detail. The ADAS Modern ones (and especially those that integrate LiDAR like those from BYD) are very demanding on memory. They need high-performance chips to process LiDAR point clouds in real time, run driving models, and store route data. The problem is that this same type of memory is being absorbed en masse by artificial intelligence data centers, which account for most of the global production of DRAM and NAND. The prices of these chips have entered what analysts call a “supercycle,” with increases that according to TrendForce are around 55-60% in conventional DRAM this year, but that in premium automotive segments (which also use DDR5) have reached up to 300% in free market price. A problem of scale. BYD’s colossal deployment makes the problem especially bulging in its case. The company has installed your “God’s Eye” system in more than 2.85 million vehicles as of March 2026, generating approximately 180 million kilometers of driving data per day, according to own data of the signature. At that scale, every extra cent in memory multiplies into millions. On the other hand, BYD closed the first quarter of 2026 with its worst net profit in three years: 4.08 billion yuan, a drop of 55% compared to the same period of the previous year, according to figures published by the company. In this context, maintaining prices without making a move has become unsustainable for the company. They are not alone. Chery, Xiaomi and the Huawei Aito brand prices have also increased on models with similar advanced driving systems in recent months. William Li, founder and CEO of Nio, counted in January that the biggest cost pressure of the year would not come from raw materials, but from memory. What changes for the buyer. The founding promise of “God’s Eye” was that autonomous driving would no longer be an expensive privilege. As we counted almost a year agothe experience of the system on the highway (even in the most economical model, the Dolphin Surf/Seagull, which sells for around 9,000 euros in China at the exchange rate) was genuinely impressive. Lane keeping was impeccable, autonomous lane changes were well executed and traffic management rivaled other premium range systems. BYD even planned to distribute it as standard in all its models, regardless of the price. Although that narrative is not dead, it is beginning to have nuances. At the moment, the version with LiDAR (the most capable) is already a payment option that has just become 21% more expensive. And now what. From Counterpoint Research they point that the blow will be uneven: low-end models simply will not carry this technology, and high-end ones have less price-sensitive buyers. The greatest impact falls on the mid-segment, where BYD’s value proposition was most disruptive. As the markets are, we will have to wait to find out what direction the company finally takes. Cover image | BYD In Xataka | Cuba is experiencing a brutal energy crisis, so a Cuban has used ingenuity to fuel his car: charcoal

They promised us that 20 minutes of sparking was equivalent to 4 hours in the gym. Science says it’s more complicated

by

Since humans became aware of the existence of electric current, they have tried to apply that power to their own body. As detailed in a report by The Wall Street Journalthis fascination goes back a long way: from the ancient Roman belief in the healing impact of torpedo fish, to the famous vibrating belt machines that promised to sculpt silhouettes in the 1950s. Today, the industry fitness has taken it a step further with whole body muscle electrostimulation (WB-EMS). The concept itself seems straight out of a science fiction movie: users don a wet suit covered in electrodes that delivers simultaneous shocks to major muscle groups for about 20 minutes. The marketing hook is irresistible, as these strength and bodyweight training sessions are sold as the ultimate shortcut to replacing hours of sweat in the gym. On social networks, dozens of influencers They upload videos doing squats and arm lifts while wearing this bionic suit. But, beyond the aesthetics and the promise of a toned body with little effort, what is true in all this? From the clinic to global fashion The technology behind electrostimulation is not a recent invention nor was it born in a trendy gym. Initially, it was used in hospitals and rehabilitation settings for a strictly medical purpose: to relieve pain, prevent muscle atrophy in bedridden patients, and improve circulation. However, in recent years, it has experienced explosive growth as a business model. fitness. The data is there. On the ClassPass platform, the number of centers offering EMS training worldwide increased more than 16% between 2023 and 2025. International franchises such as the French Iron Bodyfit plan to open more than 50 studios in the United States in the next three years, while the Californian company Body20 has gone from 46 to 67 locations nationwide since 2023. All this despite the fact that it is not an economic activity: classes cost between $40 and $100 per session. To understand the phenomenon, you have to understand how the experience works. The wet suit—water is necessary to conduct electricity effectively—sends electrical impulses directly to the muscle. This forces a greater percentage of muscle fibers to contract simultaneously involuntarily. As described by journalist Ellen Gamerman in The Wall Street Journalthe physical sensation is similar to that of receiving a call on a mobile phone in vibrate mode, with the difference that, in this case, “you are the phone.” Combined with core exercises, the level of muscle contraction makes the effort feel as intense as a high-intensity interval (HIIT) class. If you extend one arm without bending it slightly, the current can cause it to lock up completely until the trainer lowers the intensity of the machine. But who is attracted to this technology? Helge Guetzlaff, business development director of the German brand Miha Bodytec, joked in the American newspaper claiming that it attracts “a lot of lazy people.” However, Sabine Padar, owner of the exclusive Body Alchemist NYC studio, points out that she often has to convince her clients that spending more hours in the gym is not the only way to gain muscle. She insists that EMS sessions aren’t necessarily easier than traditional training, they’re just faster. The user profile is varied: from women concerned about losing strength during menopause to fashion professionals, such as Max Auth, a director of the Wolford brand who confesses to spending about $300 a month on these sessions to maintain his figure with a minimal investment of time. The reality bath Faced with marketing claims that “20 minutes are equivalent to 4 hours in the gym”, the scientific community has decided to take action on the matter. Cedric X. Bryant, executive director of the American Council on Exercise, points in WSJ that these claims are hyperbolic and that what one should expect from these workouts is being greatly exaggerated, while acknowledging that they may offer mild to moderate improvements. To shed light on the matter, various studies have analyzed the real impact of WB-EMS on different population groups: In older and sedentary adults: A research published in Clinical Interventions in Aging demonstrated the effectiveness of this technology in sedentary and thin older women, at risk of sarcopenia (loss of muscle mass) and abdominal obesity. After subjecting a group of 23 women to 18 minutes of WB-EMS (three sessions every 14 days) for 12 months, the results showed significant and positive differences in appendicular muscle mass and a reduction in abdominal fat mass compared to the control group. The study concluded that, given the good acceptance of the technology, WB-EMS is a valid and less daunting alternative for subjects who do not want or cannot do conventional exercise. In recreational athletes: Another essay published in Frontiers in Physiology analyzed the effects of WB-EMS in male recreational runners. For 6 weeks, participants reduced their running training to a single day per week and added a weekly WB-EMS session. The results indicated that the electrostimulation group improved their maximum oxygen consumption (VO2max), their ventilatory thresholds, their running economy and their vertical jump. This suggests that WB-EMS may be an effective stimulus to maintain and even improve performance in periods where resistance training volume is reduced. The definitive comparison (The WB-EMS is not a miracle): To check whether electrostimulation is really superior to classic sweating, the FIT-AGEING project evaluated 89 sedentary middle-aged adults. A rigorous study also published in Frontiers in Physiology divided the subjects into three 12-week programs: traditional concurrent training (recommended by WHO), high intensity interval training (HIIT), and HIIT added to WB-EMS. Finally, all types of exercise induced similar increases in cardiorespiratory fitness and muscle strength. In fact, the scientists explicitly concluded that the changes observed in the WB-EMS group were not superior to those of the other conventional exercise programs. The suit does not provide any extra decisive advantage compared to sweating the shirt in a traditional way. The silent danger of overexertion Despite the obvious benefits, WB-EMS is not a toy and carries risks if not properly supervised. As he … Read more

DeepSeek promised them happiness as the great Chinese AI. I didn’t count on a small detail: Kimi

by

Just a year ago, DeepSeek was one of the biggest scares that Silicon Valley had received dwarves. A Chinese model trained with a fraction of OpenAI’s budget equal to GPT-4 in benchmarks. Upon its arrival the message seemed clear: Western dominance of AI had its days numbered. Today, the story stands, but not thanks to DeepSeek. The DeepSeek case. DeepSeek carries months late for its V4 and, to date, has already lost three of the authors of R1, the model that catapulted them to success. The monthly downloads fell 72% in the second quarter of the year, seeing how Doubao (ByteDanec) snatched the lead. With missed dates, usage errors due to cyber attacksand the difficulty of split from NVIDIA To bet almost entirely on Huawei’s Ascend chips, Chinese alternatives like Kimi have been gaining ground. Meanwhile, on the other side of China. Moonshot AI was not born surrounded by noise like DeepSeek. It was founded in March 2023 by three former colleagues from Tsinghua University: Yang Zhilin—PhD from Carnegie Mellon, former Google Brain and Meta AI—, along with Zhou Xinyu and Wu Yuxin. There were no visible or media faces behind it, only product. That product is Kimi, and in early January 2026 the company launched it in its K2.5 version. In code and video benchmarks managed to surpass GPT-5 and Gemini Pro 3with the key to Chinese AI: its API costs between 4 and 17 times less than OpenAI’s. Those responsible for Moonshot explained how Kimi was almost at Claude’s level in software development testing, encouraging the race for open models. The money arrived. The commercial results are what really attract attention. In less than 20 days Following the launch of K2.5, Kimi’s cumulative revenue exceeded everything billed during 2025. API’s international revenue increased fourfold since November of the previous year. The consequence in valuation has been dizzying: 4.3 billion dollars in December 2025, 10 billion in February 2026, 18 billion in March. Three months, valuation multiplied by four. Kimi has thus become the fastest decacorn in Chinese business history. The Chinese maelstrom. DeepSeek was born a year ago as the great revolution that questioned the closed model of Silicon Valley. It only took a few months for Moonshot to steal the limelight and manage to be on par with – or even above – giants like Google and OpenAI in the most used models in the world. In favor of DeepSeek, it should be noted that its objective is different: it does not follow the typical startup pattern with pressure for immediate monetization and it is a gigantic AI laboratory that can afford not to win in the short term. In Xataka | DeepSeek API: what it is, what it is for, prices and how you can get one to use in your projects

Larry Ellison promised them very happy with his new luxury yacht named after a Japanese goddess. Made a rookie mistake

by

In the world of technology, there are more or less discreet billionaires and then there is Larry Ellison. He millionaire founder of Oracle has made ostentation his watchword: has a private island (where he wanted to feed the world with a sophisticated 500 million dollar irrigation system), a long list of properties distributed throughout the United States and other countries such as Japan, an exclusive private jetand is also investing in the search for eternal youth. Of course, he also has boats: he currently owns the Musashi, which is his fourth superyacht. Love for ships and Japan. Ellison’s love for the sea dates back to at least the 90s, at which time he even became a sponsor of the BMW Oracle Racingwinner of the 2003 America’s Cup. His current superyacht is 88 meters long, cost him about 160 million dollars in 2011 and its name is clearly of Japanese origin. In fact, it is a tribute to one of the most famous samurai. Its interior also shows Japanese influences. In addition to the Musashi, in its history of boats with Japanese names there is the Sayonara sailboat, with which won several world championships racing, or the 75-meter superyacht Katana. But his first motor superyacht was the Ronin and it cost him some headaches. Ronin It means lordless samurai, but that was not his original name. It was conceived as Izanami. The impressive Izanami. In the late 90s Ellison set his sights on a superb second-hand superyacht called Izanami. Designed by none other than Norman Foster in the early 90s, built at the German Lurssen shipyard and commissioned by a mysterious Japanese businessman, it stands out for its defined geometric lines and its aluminum hull. It combines modernist architecture with great performance: at 59 meters in length, it was capable of reaching an impressive maximum speed of 34 knots. Inside, five cabins to accommodate up to 10 guests and 14 crew members in total. The mistake that no one saw coming. The name chosen by its original owner, Izanami, comes from Japanese Shinto mythology: the goddess of creation and death, consort of Izanagi. On paper, it fits like a glove: it is cultured, it is evocative… it fits for such a superb yacht. Larry Ellison paid 25 million dollars for it and was preparing to enjoy it when, docked in San Francisco Bay, in Sausalito, his name made a splash. If you read the name “Izanami” backwards you find a tasteless surprise: “I am a Nazi”, especially considering the German manufacturing and Ellison’s Jewish origins. Change of name and owner. The tycoon tells it in his authorized biography “Softwar: An Intimate Portrait of Larry Ellison and Oracle” from 2003: “When local newspapers started pointing out that Izanami was ‘I’m a Nazi’ spelled backwards, I had to choose between explaining Shintoism to reporters at the San Francisco Chronicle or renaming the ship.” He did the latter: Izanami became Ronin. Ellison enjoyed the Ronin until 2013, at which time He sold it to the Venezuelan banker Víctor Vargas and this one would later be sold to the Italian businessman Alessandro Del Bonothe CEO of the pharmaceutical company Mediolanum Farmaceutici. Today is for sale for 28.5 million euros. In Xataka | In 1988, Larry Ellison rented a Concorde and filled it with journalists just to say that Oracle 6 was going at supersonic speed. In Xataka | Larry Ellison has overtaken Mark Zuckerberg as the second richest man in the world. Their secret: building a home for AI Cover | Flickr and Lidija Jakovljevic

Log In

Forgot password?

Forgot password?

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

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

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