The Nothing Phone (4a) Pro wants to be different in the mid-range. We have tried it on the street and not everything is so simple

If you are thinking of buying a mid-range mobile phone and are looking for something different, with personality and that design point that sets it apart from the rest, the Nothing Phone (4a) Pro It may have easily slipped onto your list. It is no coincidence: its proposal plays precisely in that field, that of offering something recognizable in an increasingly homogeneous segment. The question, as always, is whether this difference is accompanied by a good day-to-day experience. This is where our usual approach comes in. While Ivan Linares has been in charge of analyze the device in depth, Ana Boria has taken it one step further: it has been taken out of the controlled environment for a real test. The result is the latest video from Xataka’s YouTube channelwhere he tests the terminal in everyday situations and draws conclusions with context. Let’s get to it. When the cell phone takes to the streets: a real test in Lisbon The chosen scenario is not coincidental. Lisbon serves as a perfect test bed for evaluate a mobile phone in real conditions: outdoor photos, intensive use during the day, navigation, content consumption… This is where a device stops being a technical sheet and starts to show what it is made of. And in this case, as usually happens in the mid-range, there are lights and shadows. In the performance section, the approach is clear from the beginning. We are not looking at the latest Qualcomm processor, but that does not imply a bad experience. The Snapdragon 7 Gen 4 complies with solvency in daily use, something that Ana sums up bluntly: “I have not noticed any type of problem or performance, fluidity or anything.” A statement that points directly to what matters most in this range: stability and consistency. The software is another point that makes the difference. Nothing OS 4.1 is committed to a clean experience, without unnecessary additions, and that is noticeable from the first power on. “You don’t know how much pleasure it gave me to turn on the phone for the first time and not see anything at all. no bloodwarenot a single social media advertising app that I wouldn’t be interested in being there.” In a market where bloated software is still common, this approach carries weight. When we move to the camera, the analysis becomes more nuanced. The main sensor offers solid results, especially in favorable conditions, with “photos with adequate sharpness” and where “in general the white balance is correct.” It is not a revolution, but it is a reliable foundation. Of course, there is also room for improvement in certain scenarios, something that Ana hints at during the video. Beyond the camera, there are two elements that define the experience: battery and screen. They are the ones that accompany the user throughout the day and those that, ultimately, determine whether the mobile phone convinces or not. In the video they are put to real use that allows us to better understand how far the device goes in this area. And, of course, there is the most recognizable element of the phone. The rear with Glyph Matrix is ​​not only an aesthetic issue, it also introduces a customization component that is unusual in this segment. “There are different types of light designs to assign to different applications, but you can even upload images to create custom designs.” It is, in a way, the materialization of that initial idea: to offer something different. The complete analysis of the Nothing Phone (4a) Pro It is now available on the Xataka YouTube channel. If you want to understand how it behaves beyond the technical sheet and keep Ana’s final assessment, it is worth watching it calmly. Remember that you can also leave us your comments both on this article and on the video. Images | Xataka In Xataka | Poco X8 Pro Max, analysis: one of the largest batteries on the market arrives with a SoC that also has a lot to say

This is the US city that does not exist on Google Street View

Of the more than 9.8 billion square kilometers of the United States, only a small area of ​​just over 22 square kilometers does not appear in Google Street View. Welcome to North Oaks, where the streets are private property and no, we are not talking about the typical gated community, but rather open streets, although with a big ‘but’. North Oaks. Located northwest of Minneapolis, North Oaks is a small residential town with a population of 5,212 inhabitantsthe vast majority upper class. The average household income is more than $230,000 per year, which places it between the richest cities in the entire country. In North Oaks there is no barrier that prevents access to people who do not reside there, but if you access you are committing trespass. How is it possible? There are signs like this at every entrance to North Oaks. Everything is private property. In North Oaks, homeowners not only own their plot, but the property extends to half the road (the other half is owned by the neighbor across the street). This means that there is hardly any public land, but everything is private property and is managed by the homeowners association or NOHOA. The streets of North Oaks are open, but they are lined with “no trespassing” signs and there are automatic license plate readers at the entrances. The unmappable city. In 2008, North Oaks could normally be visited via Google Street View. However, the homeowners association threatened Google with a lawsuit because his Street View cars had trespassed on his property. As a consequence, Google removed all the images and it remained that way for years, until someone tried to map it again with a curious trick. Remapping North Oaks. They count in 404media that a couple of months ago Chris Parr, documentary filmmakerit was proposed to correct this anomaly. The streets are private property, but in the sky this rule does not apply, so armed with a drone and a 360 camera, he dedicated himself to photographing all the streets, as shown in your video on YouTube. For a few days, North Oaks was back on the map, but it suddenly disappeared and Parr received a letter from a law firm on behalf of NOHOA basically telling him to never come back. Image | Google Maps In Xataka | The rich neighborhoods of Madrid and Barcelona have changed their accent: millionaires from the US and Mexico invest their fortunes in Spain

China manufactures 90% of the world’s humanoid robots and the reason is not its industrial policy: it is crossing the street

On Chinese New Year, 16 Unitree humanoid robots danced a folk dance before almost a billion viewers. The West reacted as always: some with panic, others with disdain, others with an undisguised admiration that sometimes tends to concoct theories with more clichés regarding China than real analysis. None of those answers is entirely true and that blindness has a cost. The context. China manufactures about 90% of the humanoid robots sold in the world. In 2025, about 13,000 units were shipped, with Chinese companies (AgiBot, Unitree, UBTech…) dominating the ranking by volume, according to Omdia data collected by Bloomberg. Tesla, with all its brand reputation and all its industrial apparatus, internally deployed around 800 units of the Optimus that same year. The figure. He Unitree G1 It costs $13,500. He Tesla Optimus will exceed 20,000. That gap is the difference between being able to iterate ten times with the same budget or staying at one. Between the lines. The story circulating in the West has two versions, equally lazy: The first: all this is the five-year plan, the hand of the State, industrial policy made robot. The second, reserved for the most condescending: it is because they copy. Neither of them explains what is really happening. China’s advantage in robotics does not come from the Communist Party. It comes from the Pearl River Delta and the Yangtze Delta: the two densest manufacturing ecosystems on the planet. Motors, actuators, sensors, custom PCBs… everything is available within walking distance. Is what it describes Rui Xuan engineer who has worked in robotics startups in China and Silicon Valley. When Unitree wants to test a new joint design, it crosses the street and comes back with the right component. A team in San Francisco has to wait weeks to receive the same component from China. The background. That difference in iteration speed changes everything in hardware engineering. It stops being a problem of talent, because Chinese and American engineers are equally capable, and becomes a problem of infrastructure. Breaking a robot, learning, replacing it, and trying again: that’s what builds cumulative technical advantage. If breaking a robot costs three weeks of logistics, learning stops and times become longer. Yes, but. China does have state support, and it is completely legitimate to point this out. The government has injected a lot of money into that sector and has set production targets. But it’s not that Silicon Valley is an impoverished region: it has more capital, investors with more experience and resources, and more decades of experience financing high-risk bets. If this were a war to see who has the fattest checkbook, the United States would win handily. But it is not. Furthermore, Chinese state money comes with strings attached: it is classified as “state asset” and founders assume personal liability if the company fails. That pushes capital toward politically safe bets, not necessarily toward the most innovative ones. The question. Can the West make up ground in robotics? Yes, but not like he’s trying. Attracting foreign talent helps on the margin, but does not solve the underlying problem. The equalization involves building local supply chains capable of delivering a spare part in two days, not two weeks. And that is not an immigration or R&D problem. It is an industrial-based problem, and solving it takes many years of work. And of thankless work, from which those who arrive later may reap the fruits. Until then we are going to see many more viral videos of Chinese robots doing pirouettes with increasing naturalness. And it’s because they’ve built the best environment in the world to break things and try again. In engineering, that explains almost everything. Featured image | CCTV In Xataka | Folding clothes or taking apart LEGOs has always been a tedious task. Xiaomi’s new AI for robots has put an end to it

We believed Amazon was already spending too much on AI. Your answer to Wall Street: spend even more

The honeymoon between AI and Wall Street is over. Amazon knows this very well, having just received that dreaded “we have to talk” message from investors with a drop of more than 10% in its shares yesterday. It seemed that the stock markets rewarded the fact that companies They invested absurd amounts of money in AI. It is just what Amazon announced yesterday, but that strategy has had a totally negative response in the markets. what has happened. Amazon presented yesterday financial results for the last quarter of 2025. Revenue grew by 14% and net profit by 6%, modest figures that were not very popular. But above all, I did not like that Amazon announced that it estimated a capex (capital expenditure) of $200 billion in 2026 in AI. Amazing. Wall Street used to reward, now it punishes. In 2025, that capex was $131 billion, and Amazon is determined to continue betting everything on AI. Before, investors rewarded that audacity. Now they are punishing her: the shares plummeted 11% “after hours“, and it will be today when those actions start with that reflected fall. We want return on investment. That market reaction is not an isolated event. Amazon’s fall comes just hours after Microsoft or Google suffered similar falls. The market before valued the potential of AIbut now he demands return on investment more than ever and has become impatient. Big Tech had operated with a blank check, but when revenue forecasts fall short of estimates, optimism evaporates. Income grows, yes, but not that much. The real problem is the imbalance between capex and revenue growth. AWS grew a spectacular 24% in revenue, but spending is growing at an even greater rate. Google, Amazon and Microsoft are trapped in a kind of infrastructure “arms race”: the first one to stop spending loses, and that is a big problem. He who does not risk, does not gain. Amazon CEO Andy Jassy explained that “this is an extraordinarily rare opportunity to forever change the size of AWS and Amazon as a whole. (…) We are going to invest aggressively to be the leaders.” It is a speech identical to that Mark Zuckerberg said a few months ago when he said he was willing to lose hundreds of billions on AI: not investing them would be worse for Meta. But Amazon is much more than AI. There is another disturbing element in this huge bet by Amazon. The reality is that the company has many expensive fronts. From the Kuiper satellite network to compete with Starlink to the robotization of its Whole Foods logistics and other areas. When adding AI to the equation, the math doesn’t seem to work out. Optimism ends. Historically, large technology companies have taken advantage of the optimism of the market and investors to justify spending forecasts completely unrelated to their income. In 2026, with the macroeconomic situation of “we no longer like risk” —tell it to bitcoin— and the pressure for profitability, “free optimism” has disappeared. If you are going to spend like crazy, you have to raise like crazy too. Amazon is doing well, AI is not. This total commitment to AI is preventing us from seeing that the rest of Amazon’s businesses are doing very well. Online sales grew by 10% and advertising grew by a notable 23%. E-commerce, the cornerstone on which Amazon was built and operates, is funding the AI ​​party, but it is turning into a bottomless pit. Like Qatar’s GDP. According to the world bankQatar’s GDP in 2024 was $219 billion. That Amazon invests almost the same in AI data centers alone is dizzying. It is the same thing that we said yesterday about Google, which also projected a capex of 135 billion dollars by 2026. The figures are no longer dizzying: they are crazy. Beware, obsolescence. And all that investment can end up wasted, especially because there is an implicit risk in the data centers that are built: in three or five years they could become obsolete if the architecture of AI chips changes radically. It is bread for today, and hunger for tomorrow… without counting the energy factor or the water consumption. Xataka | While Silicon Valley seeks electricity, China subsidizes it: this is how it wants to win the AI ​​war

How to add the Three Wise Men to any photo of your street using artificial intelligence

Let’s tell you how to add the Three Wise Men to your photographsso that you can create images full of illusion. The idea is that if you have a photo of your street or a place you usually walk through, you can add these characters to it without altering anything else. We are going to tell you two ways to do this, both with artificial intelligence. First we will go to a website designed exclusively for this, which is the easiest alternative to use. And then we will tell you how to use the most popular artificial intelligence chatbots, such as ChatGPT either Gemini. Use a third party page If you want to do things as easily as possiblethere are pages like fotoalosreyesmagos.comcreated especially to add the Three Wise Men to your photos, and which allows you to see the photos shared by other users from all over Spain. The website offers consistency in designs, although the results are a little less refined. To use it, go to fotoalosreyesmagos.com and click on Upload your photo. Now you will go to a screen where you have to upload the photo you want to use to insert the Three Wise Men. Click on the box or drag the photo to it if you are on the computer. Remember that they must be photos of a street or landscape so that the AI ​​can insert the characters into it. Now you’ll have to choose how to customize your resulting photo. To do this, you just have to decide if you want to include the camels or only to the Kings. Additionally, you have to choose if you want the photo to be public indicating your location or if you want to keep it private and not publish it in the gallery. Now, after deciding whether or not to accept or not give the website a donation of one euro, the photo will be generated. When the photo is generated you can download or share itin addition to publishing it if you want in the public gallery. Add the Three Wise Men with ChatGPT or Gemini The other option is use ChatGPT or Geminiin both cases you will be able to use the same prompt, although today ChatGPT Images offers better results. But you can try both options and stick with the one that suits you best. What you have to do in both options is upload a photograph of your neighborhood, and add the following prompt: I want you to add the three Wise Men in this photo. They should be walking down the street, and you should make them realistic, make them look like real people. Look at the proportions so that they have a realistic size within the photograph, that they have the size of a real person. Don’t touch anything else in the photo, just add to the characters. That’s it, with this the AI ​​will generate a fairly realistic image of these characters. The advantage of this option is that you can add and specify things at the prompt you use, adding objects, specifying sizes, and similar. In Xataka Basics | How to create a character in ChatGPT and Gemini to use it in all the images you make with artificial intelligence

Telefónica leaves Wall Street through the back door. Goodbye to almost four decades in the largest market in the world

Telefónica has started the procedures to delist your shares from the New York Stock Exchangewhere it has been listed since 1987. The securities will stop trading on Wall Street in a matter of days once the documentation is filed with the SEC. The telecom will only maintain its listing in Madrid, in the Spanish continuous market. Why is it important. The movement closes a symbolic chapter that began when Telefónica became the first Spanish company to be listed on the largest market in the world. But the symbolism was left behind: today maintaining that presence involves high administrative costs and regulatory demands that no longer compensate. The trading volume in New York is residual and investor interest is practically non-existent. The context. Telefónica’s stock has fallen more than 90% in the last fifteen years. Its current valuation is on the floor, very far from that giant that in the nineties became the most valuable company in Spain. The dividend, which for years was the main attraction for conservative investors, has been successively cut, the last time this quarter. Buying in Madrid is more direct, cheaper and with the same liquidity as in New York, where securities are hardly traded. Between the lines. This decision fits into the strategic plan presented in November by Marc Murtra, focused on aggressively reducing costs. Telefónica has been lowering its blinds on all fronts: Sold subsidiaries throughout Latin America except Brazil. Reduced the dividend. Presented an ERE which is ending its negotiation phase. And now it is abandoning stock markets where being present no longer adds value. Also will stop trading in Lima. The figure. 4,554 departures are contemplated by the ERE that was agreed this Wednesday with the unions, 26% of the workforce in Spain. Cost savings are the obsession of the new management: 3 billion annually until 2030. Yes, but. Investors who have ADR certificates (American Depositary Receipts) will be able to exchange them for common shares in Spain or hold and trade them in US over-the-counter markets. Telefónica will provide both options, although it is evident that it prefers the first. The background. The exit from Wall Street is not an isolated or recent decision: The telecommunications sector has lost interest from investors, especially in Europe. It is a mature business, highly regulated, with tight margins and little ability to surprise. Telefónica today is a very different company from the one that debuted on Wall Street: smaller, more regional, more European. Its new strategy focuses on four markets (Spain, Germany, the United Kingdom and Brazil) and on consolidating itself as a reference operator with profitable scale, in addition to increasing its focus on technological solutions. Marking agenda. Wednesday’s day at the Distrito Telefónica offices north of Madrid was hectic. The contrast. When Telefónica went public in New York in 1987, it placed certificates worth $375 million, the largest influx of European capital on Wall Street up to that time. The telecom was then majority owned by the State and its debut was seen as a milestone of internationalization. Today it leaves unnoticed, recognizing that the regulatory burden and administrative costs of the SEC outweigh any benefits. Go deeper. The obligation to report detailed information to the SEC was useful at the time: thanks to it, data such as the price that STC or SEPI paid to enter the capital were known, information that the Spanish CNMV would never have required to reveal. But that level of transparency also has a cost, and Telefónica has decided that it is no longer worth paying for. In Xataka | The Government has had an idea so that the next blackout does not leave us without mobile data: let the operators pay Featured image | Telefónica, Lo Lo

Wall Street has turned on the spigot of infinite money for AI. They have forgotten a small detail: the electrical network

In that equation that the world is trying to solve with AI, there is a half that not many people have noticed: debt. Behind every AI-generated chat and video is a gigantic network of data centers, and those data centers are being financed with a mountain of borrowed money. And therein lies the problem. In what is borrowed. Debt and more debt. According to recent datathe issuance of secured debt linked to data centers in the United States is estimated to be $25.4 billion by 2025. It is 112% more than the previous year. If we add up all the complex financial instruments (known as asset-backed securities (ABS) and commercial mortgage-backed securities (CMBSS)), the snowball is already huge: there are almost $49 billion tied to these securities. Bonuses for everyone. Here there are not only startups asking for loans, no. The technology giants that are setting up these infrastructures – the so-called hyperscalers – are also taking advantage of this mechanism. Companies such as Microsoft, Google, Oracle or Meta have rediscovered the bond market as a source of financing. Better to spend what is not mine. They all have huge amounts of money, but instead of spending their own cash, They have raised 100,000 million dollars in debt issues so far this year. The goal: buy thousands of GPUs and build data centers before the competition. What are you doing, Oracle? If there is a company that embodies the vertigo of this excessive bet, it is Oracle. The company created by Larry Ellison has committed to meeting a Pharaonic $300 billion deal with OpenAI. That has forced it to become the largest issuer of corporate debt (outside the financial sector). The numbers are scary: your total debt has grown to 111.6 billion dollarswhile its cash has dropped by 10,000 million. Citi estimates they’ll need to borrow another $20 billion to $30 billion every year (every year!) for the next three years just to keep building. excessive ambition. There are also examples of startups that are exploiting this facet. One of the clearest is the one from CoreWeavea company famous for renting computing capacity for AI. The company has secured credit lines of $2.5 billion backed by leading investment banks such as JPMorgan. The market message seems clear: “if you’re going to build for AI, here’s the money.” How to get a 30-year mortgage. Analysts of all kinds have been keeping the fly behind their ears for some time, and one of the latest Moody’s reports is a good example. Concrete buildings are usually financed with terms of 20 or 30 years, but the technology inside (such as AI chips) changes radically every 3 or 4 years. Does it make sense to go into debt three decades from now for a technology that evolves so quickly? cheap money. Investors are also agreeing to charge minimal interest, just 1% above what the safe US public debt pays, when they assume that risk. It’s a worrying classic sign of euphoria. There is so much money wanting to enter the sector that those who lend it have lowered their guard and demand very little return for their risk. They firmly believe in the promises of AI while increasingly more analysts warnhorrified, that we are facing an “irrational exuberance.” Having money is no longer enough. All this is already scary, but the real bottleneck for expansion is not even capital or chips, but the electrical grid. As Satya Nadella, CEO of Microsoft, pointed out, there is no power for so many chips. The situation is so worrying that a Deloitte study indicated in a study that there are a seven-year waiting line to connect some data center projects to the electrical grid. And if companies want to obtain financing, they need have guaranteed electricity supply for your data centers. If there is no plug, there is no loan. Big Tech looks for electrons. At OpenAI they already warned of the problem months ago when talking about the “electron gap” describing electrons (energy) as the new oil. Almost all the major companies in the industry are making a move. Google has signed an agreement with TotalEnergies to be delivered 1.5 TWh of electricity over the next 15 years, and Meta did something similar with Treaty Oak Clean Energy to get 385 MW of its solar plants in Louisiana. The bubble before the big question. All of this further increases the fear that the AI ​​bubble will end up bursting in a big way. Meanwhile, the big unknown is whether the demand for artificial intelligence will be capable of paying the immense electrical and financial bill that it is signing today in 5 or 10 years. The credit party continues. In Xataka | While Silicon Valley seeks electricity, China subsidizes it: this is how it wants to win the AI ​​war

It is much more. And that terrifies Wall Street

The first sentence of this headline is not of its own origin, but of Axios in his wonderful portrait of technological dependence on OpenAI. Altman is receiving pressure from several fronts: Google eating ground since Gemini 3. The demands that accumulate. AND more than $1 trillion in investment commitments that depend on the success of the company. Why is it importantand. ChatGPT was born as the product of a startupbut now it is the axis that supports an entire industry. If it fails to balance the accounts, it would not only drag down OpenAI, but also dozens of companies, investors and projects with many zeros that have opted for the permanence of the current AI paradigm. Between the lines. The situation is, in itself, a paradox: OpenAI introduced generative AI into the collective imagination and convinced Wall Street that this revolution was real and imminent. Now that same dominant position makes it a single point of systemic failure. As Paul Kedrosky explainsMIT researcher, underestimating their individual role would be “a serious misunderstanding of what is happening in the market.” The context. The company faces rising costs, a brutal war for talent and so many doubts about your consumption strategy that porn is starting to be an option. Altman has refocused priorities on improving ChatGPT and the models that power it, he said The Wall Street Journal after the arrival of Gemini 3. But the problem goes beyond the technical: it is a network of intertwined agreements between a few giant companies, where the weakness of one threatens to paralyze the rest. Yes, but. A technical failure seems very unlikely. OpenAI continues to progress with ChatGPT despite the competition. The real risk is financial and psychological: Microsoft and Meta buy chips wildly for fear of being left behind. If OpenAI falters, that chip-buying FOMO evaporates. NVIDIA chips serve as collateral for billions in loans. If demand falls, the value of the collateral falls. And if those loans go bad, lenders are left with depreciated assets. Trust is everything. OpenAI and ChatGPT popularized AI among users and investors. This sentimental position amplifies any perception of weakness. The threat. The debate over whether OpenAI is “too big to fail” is gaining momentum. Chief Financial Officer, Sarah Friar, last month he somewhat awkwardly suggested the possibility of federal backingfueling the debate. Being “too big to fail” (the famous too big to fail) implies that the government would intervene because the economic and political consequences would be unaffordable. On the other side. Altman took it upon himself to categorically reject any government support. “If we screw up and can’t fix it, we should go bankrupt. Other companies will continue to do good work and serve customers. That’s how capitalism works,” said in X a few weeks ago. behind the scenes. OpenAI’s leadership is part narrative and part technical. They were the ones who introduced the idea of ​​generative AI to the masses, they have a role in AI similar to that of Google in searches or email, and that cultural penetration means that any slippage can be magnified. What’s at stake isn’t just the future of a company valued at half a billion and counting. It is the credibility of the entire narrative about AI. If OpenAI stumbles, investors could conclude that they overestimated the speed of adoption and profitability of the sector. This readjustment of expectations would have immediate consequences on valuations, capital flows and projects in development. Featured image | Dima SolominXataka In Xataka | We have been enjoying AI without ads for three years. That is about to end for obvious reasons.

Matt Kiatipis is the viral street basketball sensation. What no one is clear about is if it is really basketball

If you are interested in sports content on social networks, it is very possible that your algorithmic paths have crossed at some point with Matt Kiatipisbetter known as MK, a street basketball player who is injecting an aggressiveness into his videos that many see it as the antithesis of the sporting spirit. We delve into the phenomenon and what it contributes to the abundant content of this type on social networks. Who is MK? Matt Kiatipis accumulates 3 million followers on TikTokwhere matches are recorded basketballusually one on one (although not exclusively) where extreme physical contact is the norm. This content creator, calling himself “1V1 KING”, has turned street confrontations into a viral spectacle that divide opinions: while some defend the authenticity of the streetball more aggressive, others claim that their videos they glorify conflict and they betray the fundamentals of basketball. How it works. Kiatipis follows a formula: one-on-one confrontations on street courts around the world, from Toronto to Greece, passing through Brazil, Italy or Spain, where it has been recently. In them, intense physical contact is combined with aggressive verbal disrespect towards opponents. His videos, which have amassed 120 million likes, show pushing, elbowing and body defenses that would rarely be allowed in regulated basketball games. The moneys. The Canadian has converted this format in a complete business: training program, merchandising themed by country, sponsorships from brands like YoungLA and AirVert… And the project ISOa match league with global franchise aspirations. And all embedded in an amazingly familiar business model (brother records, father edits, sister manages networks) that allows him to maintain total control over his image. Is this basketball? The division is sharp. Critics point out that Kiatipis’ videos normalize unsportsmanlike behavior: constant pushing, defensive grabbing, elbowing without penalty, and use of the body that in the NBA would constitute an immediate personal foul. According to the Spanish Basketball Federation, physical contact that disadvantages the player with the ball is punishable, but in streetball The rules vary from court to court. Street basketball has historically operated under unwritten codes where each player calls his own fouls. MK’s defenders argue precisely that: that it respects the tradition of streetball more physical, where spectacle and authenticity matter more than the regulations. The debate transcends sports and asks what “real basketball” means in the era of immediate content, where attention needs to be continually drawn. The streetball phenomenon. MK’s appeal has deep roots in American urban basketball culture. Mythical fields like Rucker Park in Harlem (where stars such as Julius Erving or Kevin Durant once played) or Venice Beach in Los Angeles established in the seventies the cult of individual spectacle, one-on-one duels and the absence of referees. But it was the phenomenon of the sports footwear and equipment brand AND1 (1998-2008) who turned violent streetball into a television business: as a sponsorship, street players like “Hot Sauce” and “The Professor” toured the United States challenging local players in matches that were broadcast on ESPN. The mixtapes with the meetings sold more than 200,000 copies in three weeks. But even then detractors emerged. Critics at the time already warned that AND1 “polluted the purity of the game.” The difference with Kiatipis lies in the platform: where AND1 needed ESPN to reach its audience, MK only requires TikTok. Now aggressiveness and testosterone are not only on the surface, but also within the reach of millions of followers. In Xataka | Michael Jordan’s mansion was so luxurious that no one could buy it. After 12 years it has found a mysterious buyer

Your family tree is on every street

Madrid, like most large modern metropolises, has been expanding by annexing population centers bordering. Each of these annexed towns has its own history and, some of them, leave curiosities such as that their streets are witnesses of the family tree of the family that owns the land on which an entire district would be built that in 2023 was home to some 143,000 inhabitants. The Usera district, located south of Madrid, is known today for its multicultural atmosphere, especially for the celebration of Chinese New Year organized by the Chinese community resident in the area. However, not many people have noticed a peculiarity in the names of their streets. A surname is repeated insistently in his street map: Usera. The reason is that, paraphrasing the writer and journalist Nieves ConcostrinaUsera, before being a neighborhood, was a gentleman. We can add that, in addition, he had a lot of family. The story of a family with a zip code In Usera’s street map we can find names like Nicolás Usera, Mariano Usera, Marina Usera, Luis Usera, Amparo Usera, Gabriel Usera and Isabelita Usera, all of them, as is more than evident, pointing out that the name Usera was not born by chance. It all dates back to the end of the 19th century, when José del Río, known as “Uncle Sordillo”, a landowner from the south of Madrid, left some land north of Villaverde to his daughter, Carmen del Río Fernández. This rich heiress married Marcelo Usera in 1904, the son of a fallen bourgeois family who had not long ago returned from ill-fated Cuba. Marcelo Usera had joined military service, like so many other young people of the time, where he continued in his military career until 1924 with the rank of lieutenant colonel. At the same time, the young Usera had already proven to be skilled in management, obtaining recognition with the livestock activities on the lands that his wife had inherited. As a curious note and examples of how much Marcelo Usera was prospering with the management of his wife’s assets, the Royal Academy of History collect that Alfonso A “Salamanca neighborhood” for the people However, despite this livestock success, the lands located south of Madrid were not profitable enough to be dedicated to cultivation. Inspired by the Marquis of Salamanca and its urban project that gave rise to the stately neighborhood of Salamanca, Usera decided to dedicate those lands little given to cultivation as a starting point for a settlement for a new working-class neighborhood with houses affordable for workers. Marcelo Usera Public School, built on land donated by Marcelo Usera Usera would take advantage of the facilities offered by the so-called “Cheap Houses Law” of 1911. Under this law, the landowner obtained tax exemptions and the transformation of rural land into developable land was facilitated, thus increasing the economic benefit due to the revaluation of the land. In this way, by promoting the construction of cheaper houses, he would not incur the economic problems that the Marquis of Salamanca’s project faced. As stated the portal of Telemadridthe first colony that the rich landowner planned was called “Colonia Salud y Ahorro”, although it finally ended up being called “Colonia Moscardó”. The urban development of this first colony followed the guidelines of the workers’ colonies of the time. A main street crossed by small perpendicular streets. A street map turned into a family tree As a soldier, Usera began naming his streets with the names of illustrious soldiers, mainly belonging to the Legion that he had founded years before. Millán-Astray. However, he soon ran out of military names, so he began to draw on his own family tree and those close to him. In this way, the Usera street map thus became a small family tribute: the main artery would be Marcelo Usera Street, which with its almost two kilometers serves as the backbone for the neighborhood, with which streets such as Mariano and Nicolás Usera, Marcelo’s brothers, intersect. Corner of Amparo Usera and Nicolás Usera streets Usera dedicated a square to his wife Carmen del Río. Deserved recognition for the heiress who owned the land on which it stood the new neighborhood. Amparo Usera, goddaughter of Carmen and Marcelo, has a street symbolically located parallel to that of her rich godfather and bordering her godmother’s square. As the content creator highlights selpide in the profile on TikTok from Madrid Secreto, Marcelo was not satisfied with honoring first-degree relatives. Numerous nephews of the landowner and urban planner such as Antonia, Gabriel, Luis, Marina or Isabelita Usera are also now street names. Even Marcelo’s maternal grandmother, Isidra Jiménez, and his sister-in-law, Marina Vega, appear in Usera’s street map. Once the names of the Usera clan had been exhausted, the honors began to be extended to friends of the family, such as Carmen Bruguera, José Anespere and Pablo Ortiz, and even to employees, such as Felipe Díaz who, according to what was published by Infouserawas the administrator who designed the layout of the streets and whose house is preserved there. His daughter, Perpetua Díaz, also has a street in the neighborhood. In addition to honoring his family and friends with street names as if they were little cards, Marcelo Usera also wanted to honor those who were directly involved in the success of the urban project. Among those names, Gumersinda Rosillo and Jesús Montoya stand out, two of the first inhabitants of the new neighborhood. In your videoSélpide also highlighted the name of Máximo Carazo, Usera’s first pharmacist, who provided clean water from his well to the inhabitants of the new neighborhood. Since its urbanization, this corner of the south of Madrid has been characterized by peculiarity of their street namess, who remember on every corner that being born into the right family can make a name continue to be remembered decades later, even if its only merit is having the right surname in the right neighborhood. In Xataka | The 25 richest families in the world, displayed in … Read more

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