Month: April 2026

an algorithm has betrayed it

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We are already used to the fact that price of a flight changes depending on when you search for it, where you search from or how many times you have visited that page. Also than an Uber or Lyft ride change your price depending on if it’s raining or if it’s three in the morning. Companies have been adjusting their prices dynamically for years based on what they know about you. What you may not have known is that some companies are starting to do exactly the same thing with the salary or bonuses they pay you. The phenomenon already has a name: “surveillance salary.” And it is no longer limited to delivery workers or drivers of the so-called gig economyis also beginning to be implemented in human resources systems to condition salary increases, access to incentives, and even the minimum base salary for which you would be willing to work according to your economic needs at that moment. a report of the Washington Center for Equitable Growth warns that it is spreading to such everyday sectors as healthcare, customer service, logistics and retail trade. How the algorithm that sets your salary works. The mechanism is simpler than it seems. Companies use artificial intelligence tools that collect real-time data from public or social media information about each worker: how often they accept shifts, how quickly they respond to offers, what they were paid in previous jobs, or whether they have outstanding loans and credit card debt. With all this, the system calculates what the minimum wage is that that person would accept for work and offers you exactly that. According to Nina DiSalvo, policy director for the labor group Towards Justice“some systems use signals associated with financial vulnerability, such as data on whether a potential employee has applied for a quick loan or has a high credit card balance, to infer the minimum salary a candidate might accept.” The result is that two people doing exactly the same job can charge very different amountswithout either of them knowing or being able to claim anything about it. A model that penalizes those who need to work most. The problem is that the “surveillance salary” does not only affect those seeking employment. Just like reveals the report ‘Prohibition of surveillance prices and wages’ prepared by different US labor organizations, once hired, the worker continues to be monitored, so the system adjusts his remuneration depending on how he reacts to the company’s requests: if he accepts shifts urgently, if he works more hours than usual or if his personal finances deteriorate. The algorithm interprets this as a sign that the employee needs the job, and can take advantage of it to offer less money. How much the more vulnerable the worker isthe more exposed it is. The study of the Washington Center for Equitable Growth analyzed 500 AI companies dedicated to labor management and identified 20 vendors whose products are at high risk of generating algorithmic pay discrimination. 16 of those 20 vendors integrated their products directly with payroll or workforce management platforms, giving them continuous access to each employee’s most sensitive data. Opacity as part of the design. One of the most worrying features of this model is that the worker does not know what data is being used against him or what variants are used to calculate his salary, but they are no longer neither the experience nor the work capacity or productivity. The algorithms that determine remuneration are, for the most part, black boxes: neither the employees themselves nor the unions nor the regulators have access to their internal logic. Joe Hudicka, author of the book ‘The revolution of AI ecosystemsdescribes it this way in statements collected by MarketWatch: “We know the concept of the glass ceiling. But at least in that concept we have some visibility through it. This salary surveillance ceiling is made of iron.” A study from Cornell University’s Worker Institute detected that 42% of digital platform workers in New York declared that they had been paid less than what was agreed, without clear mechanisms to complain, precisely because the control of their activity goes through algorithms that they cannot audit. Researcher Veena Dubal, from the University of California, has been documenting for years how these platforms adjust downward remuneration on an individualized basis. For example, stopping assigning races to a driver who is about to exceed his productivity goal. The legal response that is beginning to take shape. Faced with this situation, legislators are beginning to move to put a stop to this practice. In the US, the state of Colorado is processing the bill HB26-1210one of the first initiatives in the US that seeks to specifically regulate the use of algorithmic tools in salary setting based on personal data surveillance. In Spain, the Rider Law, aimed at regulating labor relations between delivery platforms and self-employed delivery drivers, also included a modification to article 64.4 of the Workers’ Statute with the obligation to provide access to the algorithm that managed working hours and the assignment of orders to avoid this practice. The new European regulations for pay transparency are also oriented in this direction, preventing two people who do the same job from having very different salaries. In Xataka | Against all odds, AI is reactivating employment. Don’t get excited, if you are young it is increasingly difficult to get hired Image | Unsplash (Towfiqu barbhuiya)

It is the closest thing to Mario Kart that we are going to see

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We are also going to see the eccentricities that Saudi Arabia has accustomed us to in its new Formula 1 circuit, carrying as its flag its architecture of the impossible. a few days ago came to light The latest images of the Qiddiya Speed ​​Park, showing that the construction of its most spectacular curve (an elevated straight that exceeds 70 meters in height) has already begun. The project aims to host its first F1 race in 2028. New F1 circuit. On the outskirts of Riyadh, the Saudi capital, it is taking shape one of the most ambitious circuits never designed. The Qiddiya Speed ​​Park is part of Qiddiya, a new city that is rising in the middle of the desert and is still under construction. The Saudi government finances it as part of its Vision 2030. The latest photographs already show the support structures of its first curve, named The Blade. What’s special about it. This corner will be the first in motorsport history to be built on an elevated platform. According to the project specifications, will reach more than 70 meters high (the equivalent of a 20-story building) and is designed with an inclination of 10 degrees. A concert hall will be located below it. The total gradient that the drivers will face along the route will be about 108 meters, something unprecedented in the F1 calendar. Some they are already comparing the circuit with the Mario Kart Rainbow Trail and everything (no wonder). Who is behind the design? The circuit has been designed by Hermann Tilke, the 71-year-old German civil engineer who designs most of the championship’s modern layouts: Jeddah, Las Vegas, Singapore, Bahrain, Abu Dhabi, Austin and Shanghai, among others. In this project he also had the collaboration of former F1 driver Alexander Wurz. The result will be a 21-turn circuit that promises to surpass the current Circuit de Spa-Francorchamps as the longest on the Formula 1 calendar. The project. The circuit’s construction budget is around $480 million. The works began in 2024 and the initial objective is for the track to be completed in 2027 to debut in the championship in 2028, although some sources they point that the premiere could be delayed until 2029. It would not be the first time, since the circuit has already accumulated several delays compared to its original date (it was initially set in 2024). Meanwhile, the Saudi Arabian Grand Prix will continue to be held at the Jeddah Street Circuit. What’s around the circuit. Qiddiya is not just a circuit. The complex will include theme parksa soccer stadium that will host 2034 World Cup matches and a Six Flags theme park. A Mercedes “World of Performance” will also be built near the Speed ​​Park. It is, in short, part of Saudi Arabia’s commitment to turning this new city into an international tourism and entertainment hub. “That’s what Saudi Arabia does, so all due respect to them coming up with such crazy things and trying to make it as cool as it looks. There are a lot of places that aren’t nearly as lively or fun. If you want to attract people to the sport, you don’t want it to be just a circuit in the middle of nowhere that no one goes to,” declared Lando Norris, current F1 world champion, told Express. What’s missing for it to be official. Before Qiddiya Speed ​​Park can host an F1 race, the circuit will need to be inspected and homologated by the FIA. If it also aspires to host the MotoGP, it will also need the approval of the FIM. There is still some time left and the actual schedule of the project will depend largely on how the works progress in the next two years, so it seems that we will have to sit and wait. Images | ahmed baokbah In Xataka | Madrid has committed to having an F1 circuit in September: at the moment it has an open field and four streets of a PAU

The AI ​​industry fell in love with OpenAI, but doesn’t trust its CEO one bit

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At OpenAI they see a future in which the work week should have four days. Not only that: every citizen should receive a share of the economic growth generated by AI. These are some of the proposals that the company has published yesterday with the aim of preparing us for the “age of intelligence.” And just the day they published that proposal full of good and reassuring intentions, a blow arrived for the CEO of OpenAI, Sam Altman. An investigation published in The New Yorker once again called into question his way of acting, highly criticized by experts and engineers who worked with him. The conclusion of all of them: better not trust Sam Altman. The arrival of the age of intelligence. What they call the “age of intelligence” will undoubtedly have a negative impact in some areas, but OpenAI proposes with their document to make changes that mitigate these problems. Among the most striking measures is the creation of a “public wealth fund” that will distribute dividends from AI directly among citizens, regardless of their employment status. Let the machines work (and pay us for it). They also suggest taxes on automated labor to finance social security, and also pilot projects of four-day work weeks without salary reduction. The proposal is striking and seeks, of course, to reassure citizens in the face of threats such as job loss that can be caused by the mass adoption of AI. The problem is that this proposal comes at a delicate moment for an OpenAI in the midst of a reputational crisis. Smokescreen? This optimistic proposal contrasts with the report published in The New Yorker and in which the authors interviewed more than 100 people “with first-hand knowledge of how Altman behaves in business.” And among them, rivals like Ilya Sutskever or above all Dario Amodei who founded their own startups. Both harshly criticized Altman. Sutskever accumulated internal documents and messages showing deception and manipulation. Amodei stated that the obstacle to AI security is Altman himself, who leaves that area in the background compared to the company’s ambition for personal power and excessive growth. For his former partners, Altman is not a visionary, but an actor with a calculated pose. Says one thing, does another. The scandal of dismissal and later return of Altman was due precisely to that attitude in which the council accused him of having “not been consistently frank in his communications.” It’s the same thing we’ve read on other occasions: Altman has a dual personality. In him, the pathological desire to be liked and accepted is mixed with a total lack of concern for the long-term consequences of his misdeeds. He tells his interlocutors what they want to hear, and then does what he really wanted from the beginning. It is something that, for example, Karen Hao narrates over and over again. in his book ‘Empire of AI’in which, it must be said, it erred in calculating the water consumption of data centers mentioned in its studies. In the report they mention how the well-known programmer Aaron Swartz met him before die in 2013 and commented about him even then that “he is a sociopath.” Public image is everything. The publication of the OpenAI document occurs at a particularly critical time for the company, which is involved in a reputational and strategic crisis. Anthropic has managed to become the darling of the AI ​​industry —without being much less perfect— and OpenAI has realized that it was experimenting with too many AI applications that were not profitable and now wants to refocus on what makes it profitable. The good intentions shown in the document try to get public opinion on their side just when the company plans its IPO. Learning from the past. Altman’s critics reveal that he is an expert at designing control mechanisms that go up in smoke. Support AI regulations (at least those that favor you) and publicly promotes ethics committees and alignment and security of the AI ​​that in reality later knocks down internally, at least according to those who work with it. It happened when he promised to allocate 20% of the computing capacity to the super-alignment team, and then actually gave up only between 1 and 2% of that capacity. Jan Leike, who was named co-leader of that team along with Sutskever, resigned in May 2024 indicating that “safety culture and processes have been relegated to the background compared to flashy products,” he explained in a thread in X. He ended up signing for Anthropic. Interested reviews. Although Altman’s career at the head of OpenAI –with what happened to the Pentagon as a recent example—reinforces the comments of those who criticize him, it must be remembered that competition in this industry is currently fierce. Many of those who participate in the report are direct rivals and therefore their criticism, veiled or not, is partly self-serving because it harms their competitor. In Xataka | There is a new generation of AI models at the doors and Anthropic has to sell them: “The biggest and smartest”

Samsung is tired of being second in the chip race. Now they are preparing to dethrone the titan of Taiwan

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When we talk about artificial intelligence, there are several proper names that star in the conversation. NVIDIA has become the foundation and cement of AI thanks both to their products as, above all, your money. But it’s impossible to leave Samsung out of the equation. Your HBM4 memories They are the ones that will allow NVIDIA and AMD manufacture their platforms new generation, but South Koreans do not want to stop there. They seek to be the largest advanced factory in the world and have launched a plan to wipe TSMC where it hurts the most. In the expansion throughout the United States. An x8 thanks to AI. 2025 was a transition year for Samsung. While its great rival in the memoir segment –SK Hynix– dominated the HBM chip marketSamsung is preparing to make the leap with HBM4 chips. This is the new generation of high-bandwidth memory designed to power the new AI platforms from both NVIDIA and Samsung. The effort paid off by overtaking SK and becoming the supplier of the two giants, and it is something that is already materializing. At least in estimates profit, of course. Now the company forecast profits of about 38 billion dollars for the first quarter of the year, something that destroys the profits of the same period last year, being eight times more. Texas. The company does not stop manufacturing the new HBM4 memory, but even so it cannot satisfy the enormous demand of its customers and there are already those who expect that the prices of these chips will increase by more than 50%. To meet demand, Samsung is moving, and The United States is key in its ambitious expansion. The South Korean company seeks to invest 37,000 million dollars in US soil, and 17,000 million of them they will stop to the Taylor, Texas plant. According to Korea Heraldthe company is finalizing hiring for this semiconductor plant where they hope to produce cutting-edge 2-nanometer chips. It is estimated that 1,500 people will be directly employed and the idea is to produce transistors with gate-all-around architecture. TSMC in the spotlight. Recent reports indicate that Samsung has already begun producing test units of chips in that lithography with the aim of beginning mass production by 2027. But this expansion is not only occurring in the United States. At the Pyeongtaek Campus, Samsung’s operations center, building a new factory for which Samsung has just ordered 20 EUV lithography machines valued at almost $8 billion. As it could not be otherwise, they are from ASML and it is estimated that the plant will have 70 units in total to support the production of HBM4 memory chips. And these two movements have one goal in mind: to dethrone the queen of semiconductors. Currently, TSMC takes the lead with NVIDIA and Apple as its best clientsbut Samsung is another industry giant that may not take the global throne, but is aiming for something more concrete: to be the one who leads the way in the United States. Both Samsung and TSMC are in full expansion throughout the United States, but if Samsung manages to start mass manufacturing of 2nm chips by 2027, it would overtake TSMC -focused on 2/3nm chips– in that development of advanced chips in the United States. It is still a vital race, since Tesla, Apple, NVIDIA or AMD are trying to get chips manufactured in the US and thus meet the demands of Donald Trump’s government. Trojan horse. In the end, it’s a move that Samsung can only win from. On the one hand, expand its HBM4 chip capacity to power AI platforms that do not seem to stop increasing in the short term. On the other hand, continuing to settle on American soil where it maintains a battle with the Taiwanese giant. But, also, Samsung is one of the founding members of the EPIC program of Applied Materials together with SK Hynix. They are positioning themselves to be the big player in semiconductors both as a factory and when it comes to designing machines and processes that allow for shorter development times for cutting-edge chips. and all this foreign companies are doing it on US soil when what the current government wanted was for were American companies those who will take the lead. In fact, Samsung’s plans are so ambitious that they are already looking for master 1nm chip production by 2030. In Xataka | ASML has discovered a way to further improve its SVU machines. This is terrible news for China and the US.

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

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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

Harry Potter has slipped through its fingers, but Netflix’s need for a hit franchise is still there

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In February 2026, Netflix renounced what would have been one of the biggest economic bets in its entire history (72 billion for the studios and the Warner Bros. catalog), in the face of a counteroffer from Paramount that it did not want to match. The episode precisely exposes one of the weaknesses of what remains the main service of streaming in the world: twelve years of own and exclusive content cannot compete against a century of third-party franchises. The businesses. In December 2025, Netflix announced a deal with Warner Bros. Discovery valued at $72 billion to take over its studios and HBO Max. Two months later Paramount Skydance raised its offer at $31 per sharecompared to the 27.75 that Netflix had agreed upon, and Warner leaned towards this new proposal. Netflix refused to match it. “The transaction we negotiated would have created value for shareholders, but we have always been disciplined, and at the price that required matching the last offer, the deal was no longer financially attractive,” the company said in a statement. Catalog wanted. Beyond finances, the failed business reveals that Netflix was looking for something that can only be achieved with time (or a lot of money): catalog. Warner, Disney or Universal have accumulated decades of iconic franchises and characters, but Netflix only has a history of twelve years. It is the best explanation for why the platform was willing to make a very high economic proposal. It seems obvious to think that Netflix, now that it has concluded’Stranger Things‘, seeks comparable success: after all, the Duffer series has provided you more than $1 billion in revenue since 2020. and can be credited with signing more than two million subscribers. Proof: Willy Wonka. A good test that to achieve overwhelming successes it is not enough to walk the checkbook is in the purchase of the Roald Dahl catalog. Netflix paid about 700 million dollars, according to specialized media calculations, for the rights to works such as ‘Charlie and the Chocolate Factory’ or ‘Matilda’, but five years later it has not generated any relevant success. In 2026 they will make a new attempt with a reality called ‘Golden Ticket’, in which the participants face tests in a scenario with a chocolate river inspired by Willy Wonka, but we are very far from a launch that equals ‘The Bridgertons’ or a ‘Wednesdays’. The ‘K-pop Warriors’ accident. Netflix’s latest big hit is perfect proof that, no matter how hard you try, there are things that can’t be bought with money, much less can be thoroughly planned. ‘The K-pop Warriors’ became such an unexpected phenomenon that the platform did not have products merchandising available during the Christmas season. Apparently Netflix approached toy manufacturers more than a year before the premiere, but no one wanted to take the risk of an untested franchise. But now Netflix is ​​treating ‘K-pop Warriors’ as its next big property: deals with Mattel and Hasbro, themed menus at McDonald’s, a possible concert tour and an animated sequel in development. It’s a real irony: Netflix has been saying for years that franchises are its goal and when one appears, the infrastructure to exploit it was not ready. The 2026 roadmap. What awaits the platform in the coming months? ‘The Bridgertons’ enters its fourth season, ‘One Piece’ in the second, and series are being prepared such as a new approach to ‘Assassin’s Creed’ with the approval of UbiSofy and a reboot from ‘Little House on the Prairie’. The company has also closed agreements with Sony Pictures to exclusively distribute streaming its next releases (including Spiderverse films, the adaptation of ‘Zelda’ or the Beatles biopics directed by Sam Mendes) and maintains with Universal the exclusive premiere in streaming from franchises like ‘Jurassic World’. They are alliances that partially compensate for the absence of a more powerful catalog of our own. The need for franchises. Why series like the true gem of Warner (almost above the DC heroes), ‘harry potter‘, are so necessary for Netflix. According to data from the consulting firm Owl & Co, the engagement Netflix grew just 2% in the second half of 2025. Revenue is expected to increase 13% in 2026, up from 16% a year earlier. And advertising represents only 3% of the total, very residual. Franchises are, in this context, an impetus for growth: they build loyalty and allow exploitation with merchandising and live events. A replica of Hogwarts on the scale of Netflix would, of course, guarantee a turnaround in these figures. In Xataka | The ranking of Spanish television by including Netflix and YouTube changes everything: traditional TV is on its heels

They have analyzed the coordinates of the rescue of the pilot in Iran. Not only do they not add up, they point to a very different mission from the US

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In the most complex military operations, it is not uncommon for open data (images, coordinates or videos) to allow reconstruct scenarios with a level of detail that was previously only available to the intelligence services. In recent years, independent analysts have come to identify locationsmovements and even operational failures crossing public information in a matter of hours. Because sometimes, the key is not in what is told, but in how they fit (or don’t) the visible pieces. The official version: Mission Impossible. It we count yesterday. The official narrative describes a rescue operation on a large scale to recover a crew member from an F-15E Strike Eagle shot down in Iran, with special forces deployed on the ground, multiple aircraft involved and direct confrontations with Iranian units. The pilot would have survived thanks to his training, emitting a signal from an elevated area while elite teams located and extracted him in a complex but successful mission. However, from the beginning it has attracted attention the enormous cost material, with aircraft destroyed or damaged worth hundreds of millions of dollars, something disproportionate for a conventional rescue operation. The first step: follow the coordinates. More than 48 hours after the rescue, the analyst of the popular Simplicius Substack has compiled all the information that has appeared about the operation. Its analysis begins by dismantling the official version based on a basic element: geolocation. The first information places the demolition in the southwest of Iran, near the coast (about 80 km), an area consistent with the type of operations that a combat fighter of this type would carry out. The problem? That the appearance of the subsequent videos and remains identified on the land that we commented yesterdaywith C-130 transport planes and destroyed American helicopters, appear at hundreds of kilometers awayin the vicinity of Isfahan, which introduces a contradiction that is difficult to ignore and forces us to rethink the entire sequence of events. One more thing. As clarified Also the analyst, the geolocation of the CSAR (rescue operation) only showed a group of search helicopters passing through that areathat is, it did not geolocate the remains of the downed F-15E. For all we know, those helicopters could have been passing from there to the place of the accident in Isfahan. However, it must be remembered that even official sources from the main US media outlets, all with direct contacts in the government, initially reported that the accident occurred precisely in the area where the CSAR helicopters were sighted and geolocated. That is, the inconsistency in the geolocation found is not based solely in a single test. Plus: it seems evident that it makes more sense for an F-15E to be operating in the coastal area and not hundreds of km deep in Isfahan dropping short-range bombs, a task that should correspond to stealthier aircraft. Even so, a subsequent geolocation supposedly located the F-15E accident just south of Isfahan. C-130 and MH-6 helicopters destroyed The pieces don’t fit. From there, the data has accumulated inconsistencies that further distort the official version. For example, the use of huge transport planes to rescue a single pilot, the alleged mechanical failures that forced to destroy aircraft on the ground despite evidence of impacts and shrapnel through images and videos. Not only that. The lack of coherence about how was he evacuated to the staff after these failures generate more than reasonable doubts. What real chance is there that the two MC-130s that flew some 100 US special forces members to Iran to rescue the last F-15 crew member, suffer at the same time mechanical failures and could not take off? But even if it were true,how they managed then remove that same number of people after both planes suffered those “mechanical failures”? The photo used for geolocation, which shows the crater, belongs to an original series of photos with remains of the F-15E The landing strip. Each detail, in isolation, could be explained, but together they draw a pattern that suggests something else was going on. In fact, the analyst explained that the geolocated remains of the C-130s, which apparently used a local “agricultural landing strip”, are located just on the other side of a mountain, about 35 km from the Isfahan nuclear facilitywhere Iranian near-military-grade enriched uranium is supposedly stored. This result comes from the previous image, that is, this would place the distance between the two places of the remains at about 25 km. The location to the northwest is the F-15E crash site, and the location to the southeast is the C-130 wreckage field. The geolocated remains of the C-130s, which apparently used the agricultural landing strip (32.223369, 51.897678), and which are located just on the other side of a mountain, about 35 km from the Isfahan nuclear facility, where Iran’s near-military-grade enriched uranium is supposedly stored Plot twist: the nuclear hypothesis. That proximity, just 35 km southeast of one of Iran’s main uranium deposits, it doesn’t seem casual and opens an alternative hypothesis: that the rescue operation was actually a cover for a mission much more ambitious. In fact, Trump I had already spoken to extract Iranian uranium, an operation that would require the construction of landing strips in the country. Therefore, it is plausible that the plan was already underway for some time, while the American president bought time by stating that it was only a theoretical “possibility” under consideration. Under this scenario, the presence of special forces, the volume of resources deployed and the risk assumed seem to fit better as part of a clandestine operation than as a simple rescue. A parallel narrative. With the official data taken together, the story evolves towards a different interpretation in which airstrikes, special forces activity and even the possible disinformation campaign attributed to the CIA They would be part of a coordinated operation to distract, confuse and execute deeply hidden objectives. Of course, the rescue would still be real, but it would cease to be the main objective and become the … Read more

This engineer found 1,351 loose photos in his grandmother’s house. He ended up building a personal Wikipedia of his entire life

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It all started with a closet full of old loose photos. Last year an engineer named Jeremy visited his grandmother’s house for the first time since the pandemic and unknowingly came across a treasure. 1,351 on paper, without order, without dates and without context. Some were in black and white, from when his grandparents were 20 years old. Others were from his mother as a baby. The last ones were from him in high school, just before smartphones arrived and everything moved to the cloud. What began as a family organization exercise became a fascinating project over the weeks: a personal encyclopedia. A Wikipedia of his own life. First, the physical photos and the grandmother. The first problem he encountered when starting his project is that physical photos do not have EXIF metadata. There is almost never a capture date (although some cameras superimposed it), there are no GPS coordinates and there is no information that allows them to be easily sorted. What Jeremy did was resort to a much more direct solution: sit down with his grandmother and ask her about the photos. Remembering that it is a gerund. In that conversation she rearranged the photos of their wedding and narrated the details while he took notes. Names, places, who was sitting where, what each ritual meant. With those notes, he set up a local instance of MediaWiki, the same software that Wikipedia uses, and wrote a page about the wedding following the same format that was used on Wikipedia to royal wedding between Prince William and Kate Middleton in 2011. Within two afternoons I had a complete article with scanned photos, captions, links to empty pages about each person mentioned, and links to the real Wikipedia to give historical context to the events. Digital photos and Claude Code to get the job done. Jeremy realized that things could get worse and took the opportunity to do tests with digital photos, which do have EXIF data with date and time and even GPS coordinates. With that information he wanted to see how far he could go without interviews, so he took 625 photos from a family trip to Coorg (India) in 2012, put them in a folder and opened Claude Code in that directory with a simple instruction: compose a Wikipedia page by browsing the images. The model used ImageMagick to create contact sheets that allowed him to process multiple photos at once, and the magic of AI did the rest. The result was a detailed draft chronicling the trip organized by time of day. Without location data, just with timestamps and visual content, the AI ​​model was able to identify the places that appeared in the photos, including some that Jeremy himself had forgotten. It even detected the means of transportation used between destinations just with what it saw in the images. When AI starts remembering for you. Then came the most ambitious experiment, when he wanted to go further with a trip he took to Mexico City in 2022. He had 291 photos and 343 videos taken with an iPhone 12 Pro with GPS coordinates in the metadata, but he also exported his Google Maps location history, his Uber trips, his banking transactions and his Shazam history. By including all that data and sources, the model was able to cross-reference banking transactions with location data to identify the restaurants where he had eaten. For example, he found images of a soccer match in the photos but did not remember which teams were playing, but he found out that information by crossing those photos with bank transactions in which he found a Ticketmaster invoice with the name of the tournament and the teams, and incorporated them into the page. He also used Shazam’s history to describe the music playing in each location. From photos and memories to a personal encyclopedia. A wonderful project that now anyone can replicate thanks to the whoami.wiki website. First the trips, then the friendships. What started as a travel documentation project evolved into something more personal. The Facebook, Instagram and WhatsApp archives contained some 100,000 messages and several thousand voice notes exchanged with close friends over a decade. The AI ​​model managed to convert all this information into a unique biography, identifying vital episodes of the protagonists, then converted into pages that, according to Jeremy, “read as if they were written by someone who knew us both.” When he shared the pages with those friends, they couldn’t stop reading those stories and wanted more. MediaWiki as a master ingredient. One of the most interesting decisions of the project is the choice of software. MediaWiki, Wikipedia’s engine, turned out to be an extraordinarily suitable tool for that use case. AI models understand this perfectly because they have been trained with millions of Wikipedia pages and know their structure and functioning. Discussion pages serve to control the development of those pages, categories group pages by topic, and revision history monitors the evolution of each page. All of this infrastructure already existed, and it was not necessary to create a new platform to organize the information that Jeremy was providing. Surpriseyes. At the end of his story, Jeremy explains that after the process: “I realized that I was no longer alone working on a family history project. What I had been creating, page by page, was a personal encyclopedia. A structured, navigable, interconnected record of my life compiled thanks to the data I already had around me.” Documenting her grandmother’s life revealed things she didn’t know: her years as a single mother or the decisions she had to make, for example. Going through the history of his friendships allowed him to recover moments that he had almost forgotten and made him call some of them to remember them together. “The encyclopedia not only organized the data, it made me pay more attention to the people in my life,” he explained. you can do it too. The project has been so rewarding for him that he … Read more

the game (and more) without leaving home, for 9.99 euros per month

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It is true that the World is just around the corner, but there is still a lot of football before that. In fact, today begins the final phase of one of the most beautiful and sporting competitions in this sport: the Champions League. If you don’t feel like going to the bar and you prefer to watch tonight’s Real Madrid game at home, you have it in Movistar Plus+ by 9.99 euros per month (or 99.90 euros per year). Although that is not the only thing this platform has. Monthly subscription to Movistar Plus+ The price could vary. We earn commission from these links LaLiga, the Copa del Rey final and more on Movistar Plus+ If at any time we have considered trying this platform, today is the best day to do so. Since it has no permanencewe can subscribe, watch the Real Madrid game and have a month ahead to take a look at the platform’s catalogue. It is true that Movistar Plus+ already has a Free Planbut in it we do not have the possibility of watching football. Of course, the biggest incentive on the platform today, April 7, is the great game Real Madrid – Bayern Munich, two historic European matches. But, And what else does Movistar Plus+ broadcast? As a summary, we leave you a list of the games that we will be able to see in the coming days: Freiburg – Celtic: April 9 Seville – Atlético de Madrid: April 11 Chelsea – Manchester United: April 12 Atlético de Madrid – Barcelona (Champions): April 14 Betis – Sporting Braga: April 16 Atlético de Madrid – Real Sociedad (Copa del Rey): April 18 Manchester City – Arsenal: April 19 Girona – Betis: April 21, 22 or 23 Getafe – Barcelona FC: April 25 or 26 Logically, the platform not only has football. To all these parties, we must add a very good catalog of movies, series and documentaries with which you will have plenty of content. There is a lot to choose from, especially if you want to see movies nominated or winners of the Goya awards like ‘Sundays‘ or ‘The Dinner’, as well as other Oscars, such as ‘Sinners‘ either ‘Sentimental Value‘. Finally, we cannot ignore that Movistar Plus+ is a platform that allows two simultaneous reproductions. What does that mean? That you can share your account with a friend or family member without any problem, even if you do not live at the same address. Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Movistar Plus+ In Xataka | Mega-guide to set up a home theater: projector, screen, sound system and more In Xataka | The best streaming platforms 2025 | Comparison of Disney+, Netflix, HBO Max, Prime Video, Movistar Plus+, Filmin, Apple TV, SkyShowtime and Rakuten TV: catalog, functions and prices

engineering challenges are greater than expected

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That Apple is going to launch a foldable iPhone It’s a rumor that has been circulating for yearsbut it does not materialize. According to the latest information available Nikkei AsiaApple is already doing engineering tests with its foldable mobile phone, but they are not going as expected. First tests, first problems. According to sources in Apple’s supply chain, the foldable iPhone has already begun the testing phase necessary before mass manufacturing can begin. However, more failures have appeared than initially anticipated and they will need more time to adjust the design and manufacturing processes. critical moment. April and May are an “extremely critical” period to pass these engineering tests. Currently, the foldable iPhone is in the engineering validation testing phase (EVT) and is a crucial step in ensuring they can be mass produced smoothly and without problems. According to Nikkei, Apple’s plan is to produce between 7 and 8 million foldable iPhones, which represents 10% of the total volume of the new range, and launch it this year, but if it does not pass this phase in time, it could put the entire calendar at risk and push the launch to next year. The market is eagerly waiting. They started out as niche devices, almost a rarity, but the foldable market has been growing year after year and, according to IDCin 2026 it will grow 30% year-on-year. One of the arguments that IDC gives to support that figure is, precisely, the launch of the highly anticipated folding iPhone. According to the firm’s head of devices, “This launch is likely to boost awareness of the category and generate interest among consumers. Apple is often a catalyst for widespread adoption of new categories.” Maybe they have to keep waiting another year. The promise that never comes. As we said, the rumor of the folding iPhone has been circulating for years. It started around 2021 when, Analysts said it would arrive in 2023. This never happened, but nothing quelled the rumors. Along the way, Samsung, Huawei, Honor and OPPO have already launched several generations of their folding phones, perfecting the design to achieve ultra-thin bodies and better quality screens. In this sense, the longer the foldable iPhone is delayed, the higher the bar is. What we think we know about the foldable iPhone. There have been many leaks, but a few months ago one of the largest to date occurred. According to leaked data, the folding iPhone will have a book format (like the Samsung Fold) with a 7.58-inch internal screen and a 5.25-inch external screen. The design will be ultra-thin and will eliminate FaceID in favor of TouchID on the side button so that it can be unlocked whether open or closed. In Xataka | iPhone 17e, analysis: the best and the worst of Apple in a mobile that is not only contained in the price Cover image | Concept of Ben Geskin

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