Mobile Tech & Gadgets

China has just crossed a red line in Taiwan. They are no longer drones, they are their fighters shooting “attached” to the Taiwanese F-16s

by

China has been tightening the siege on Taiwan for years with pressure constant and calculated: increasingly frequent air raids, naval exercises large scalesymbolic crosses of the midline of the strait and military deployments designed to rememberwithout firing a single shot, that the island lives under permanent surveillance. This strategy of attrition, made of demonstrations of force and controlled ambiguity, has marked the relationship between Beijing and Taipei long before the current pulse reached disturbing levels. One (another) red line. If a few weeks ago we said that China had taken a qualitative step in its military pressure on Taiwan by crossing the island’s airspace with a military dronehas now redoubled its efforts, going from intimidating maneuvers to direct aerial encounters with manned fighters flying meters away and firing flares near Taiwanese planes, an escalation that multiplies the risk of accident and turns intimidation into something much closer to a deliberate clash. during exercises “Justice Mission”J-16 planes of the People’s Liberation Army not only came dangerously close to Taiwanese F-16s when they came to intercept them near the middle line of the strait, but they also arrived to launch flares at close range, a maneuver considered unsafe even by demanding military standards and that marks a before and after in the face of previous, more indirect provocations. From symbolic pressure to physical risk. In just 24 hours, dozens of Chinese aircraft crossed the midline of the strait and penetrated the airspace controlled by Taiwan, showing a pattern of behavior that no longer seems to seek only to saturate radars or send political messages, but rather to put enemy pilots in extreme situations. Unlike radar jamming or the presence of military drones, these encounters centimeters away introduce a human and physical factor. much more dangerouswhere a mistake, turbulence, or knee-jerk reaction can trigger an immediate crisis between China and Taiwan. One of the Chinese J-16 fighters photographed during Chinese People’s Liberation Army military exercises while being monitored by a Taiwanese F-16V aircraft Intimidating maneuvers. The actions were not limited to direct harassment: Chinese fighters used concealment tactics flying close to H-6K bombers to evade radars, revealing itself, according to local Taiwanese media, “ostentatiously” by displaying missiles at close range, in maneuvers compared by observers to historical tricks of military infiltration. They remembered in the Financial Times That this behavior, described by some sources as more typical of a “thug” than a professional pilot, reinforces the feeling that Beijing is testing new risk thresholds to measure the Taiwanese and allied response. A regional pattern. What happened around Taiwan is not an isolated event, but part of a incident sequence in which the Chinese air force has raised the tone towards neighbors like Japan and the Philippinesincluding blocking radar and firing flares against patrol aircraft. In fact, analysts warn that the next logical step in this escalation could be to operate regularly within the 12 nautical miles of Taiwanese territorial airspace, a scenario that would then exponentially increase the risk of collision or armed confrontation. Political pressure and risk of lack of control. If you like, this increase in boldness coincides with those publicized changes in the chain of command China and with political pressure from Xi Jinping for the armed forces to demonstrate their preparation for an eventual conflict, which could be pushing pilots and commanders to take risks that were previously avoided. Under that prism, Beijing would not only have crossed another red line against Taiwan, but would have entered a phase in which aerial intimidation ceases to be a calculated game and becomes a much more dangerous gamble, one with potentially explosive consequences for regional stability and security. appearance of “third parties” on the board. Image | 日本防衛省・統合幕僚監部, Ministry of National Defense In Xataka | China already has drones capable of shooting with surgical precision at 100 meters. Not good news for Taiwan In Xataka | The biggest geopolitical risk on the planet is not Greenland. It’s a smaller island with a disturbing neighbor: Taiwan

more and more states are opposed to building them

by

The US is finding increasing resistance ahead of the construction of new data centers to feed AI, and New York has been the last state in joining it. Two Democratic legislators have presented a bill that would suspend the construction of new facilities in the state for three years, becoming the sixth territory to consider this type of measure in just a few weeks. Why is this happening? The bipartisan rejection of data centers has spread like wildfire across the country. In December, Bernie Sanders became the first national politician to ask for a general moratoriumarguing that it was necessary to “ensure that the benefits of technology work for everyone, not just the 1%.” Now, from Florida to Vermont, lawmakers from both parties are pushing for temporary pauses. According to Wired, more than 200 environmental organizations they signed a letter calling data center expansion “one of the biggest environmental and social threats of our generation.” In detail. The proposal, introduced by state Sen. Liz Krueger and Assemblywoman Anna Kelles, establishes a minimum three-year moratorium on issuing construction permits. During that period, the Department of Environmental Conservation and the Public Utilities Commission would evaluate the impact of these infrastructures to suggest new regulations. Just like share In the middle, the state currently has more than 130 data centers, and electricity demand linked to new projects has reached 10 gigawatts, triple what it was just a year ago. Among the developments underway is a 450-megawatt center built on a former coal plant. Where else is it happening. Georgia, Maryland, Oklahoma, Vermont and Virginia have also introduced bills this year to temporarily pause data center development. Although Georgia, Vermont and Virginia are Democratic initiatives, in Oklahoma and Maryland they have been led by Republicans. According to share Wired, as of late December at least 14 states had cities or counties that had suspended building permits. And Virginia, with more than 60 related bills introduced this year, has become the legislative epicenter of this battle. The hidden cost. data centers consume massive amounts of energy and waterand local communities fear an increase in your electric bills greater than what they have had to face until now. Just like account In New York, Gov. Kathy Hochul last month launched an initiative to force data centers to “pay their fair share.” “I don’t think there are many people who want to have higher energy bills just so some chatbot can corrupt a 13-year-old boy online,” declared Florida Governor Ron DeSantis. Resistance from below. Beyond the legislators, there is also citizen opposition that is pausing multimillion-dollar projects. According to Data Center Watch, between March and June 2025 they were delayed or canceled developments valued at 98 billion dollars. In Monterey Park, California, a six week campaign has achieved a 45-day moratorium and a commitment from the city council to explore a permanent ban. Between the lines. What is happening in the United States with data centers is a reflection of the problem that the evolution of AI brings with it: that it is generating a physical infrastructure the costs of which the communities where it is installed are not willing to assume. Many companies promise jobs with their construction, but once operational they hardly require personnel. They promise fiscal investment, but they skyrocket energy consumption and pollute with noise and emissions. A Morning Consult survey revealed that a majority of voters support banning the construction of data centers near where they live and believe they are partially responsible for rising electricity prices. And now what. The industry has begun to react. Just like share Wired, Microsoft presented last month, with support from the White House, a series of commitments to be a “good neighbor” in the communities where it builds. Dan Diorio, vice president of state policy for the Data Center Coalition, assured the outlet that the industry “recognizes the importance of continued efforts to better educate and inform the public about the industry.” The needs of Big Tech to advance their operations collide more than ever with public opinion, and it does not look like the gap is going to narrow anytime soon. Cover image | Tim Mossholder and Kevin Ache In Xataka | Something is changing in the markets and AI: Amazon’s exaggerated spending announcement has been followed by a stock market crash

Something dark keeps growing in the Greenland ice. And it’s melting the frozen mass at an unexpected speed

by

Greenland was for centuries synonymous with immobility, a territory that seemed oblivious to the passage of time, protected by an ice sheet so vast that even polar explorers could see it. like something eternal. From the first Inuit settlements to the European expeditions of the 19th century, the island was more a symbol of resistance than change, a place where the landscape imposed its own rules. Precisely for that reason, any alteration On its surface today it has a historical weight that goes far beyond what appears at first glance. A dark spot on the ice. Something seemingly insignificant is growing on the immense Greenland ice sheet, but with a disproportionate effect: microscopic algae that dye the snow green, red or grayish brown and reduce its ability to reflect solar radiation. In a warming Arctic up to four times more faster than the rest of the planet, this so-called “dark zone” accelerates the loss of hundreds of billions of tons of ice each year, directly contributing to sea level rise and adding a new layer of complexity to an already destabilized climate system. Dust, nutrients and a cycle. counted the new york times last week that much of the latest research shows that the wind blows phosphorus-rich dust from the rocky fringes discovered on the margins of Greenland into the ice, fueling algal blooms. Here’s the crux of it all, because as the ice melts, also releases trapped nutrients for decades or centuries in its deep layers, creating a kind of vicious cycle: one where more melting releases more food, algae proliferate, the ice darkens and melts even faster. This mechanism, time and time again, turns warming into a self-accelerating process that is difficult to stop once it has started. The measurable impact of a microscopic phenomenon. In southwest Greenland, one of the fastest melting regions, algae already explain about 13% of runoff water generated by summer thaw. In fact, studies published in journals such as Environmental Science and Technology and Nature Communications have shown that even minute amounts of phosphorus and nitrogen, released from the ice or transported through the air, are enough to sustain these biological communities, suggesting that the phenomenon could extend to areas much wider of the cap. A climate problem. Plus: ice darkening does not occur in a political or economic vacuum. The retreat of sea ice around Greenland is opening new sea routes and facilitating access to mineral, oil and gas resources, increasing the strategic interest for the region. Any additional industrial activity could release, for example, soot and particles that further aggravate the darkening of the ice, accelerating a process that, in the worst case scenario, could contribute to a global rise in sea level of up to seven meters if the ice sheet completely disappeared. What is known… and what is not yet. The scientists match in which algae are not the cause of global warming, but rather a consequence which amplifies its effects, while underlining that the root of the problem continues to be the burning of fossil fuels on the planet. However, it is still unknown precisely to what extent this “dark spot” can expand and how to integrate your impact in sea level rise models. Meanwhile, Greenland seems to offer us a most ominous warning (another one): that even the smallest changes, those invisible to the naked eye, can tip the balance of one of the largest and most fragile systems on the planet. Image | Jenine McCutcheon/University of Waterloo In Xataka | Why we find 50,000 meteorites in Antarctica if they fall the same all over the planet: ice has the answer In Xataka | Antarctica launches its “Doomsday Vault”: a sanctuary at -50 °C to save the memory of the glaciers

the new promise that a Singapore company proves

by

There are short journeys that, even today, continue to depend on slow ships or air infrastructure that does not always make sense. In that middle space, a Singapore-based company has started to test a different alternative: a vehicle capable of moving at high speed without completely taking off from the water and without needing an airport. This is not an experimental concept, but rather an industrial program with a calendar, partners and routes being studied for 2026. What type of vehicle is it exactly? The proposal is specified in the AirFish Voyagera device developed by the Singaporean company ST Engineering AirX that does not quite fit into either the boat or airplane categories. It is a type vehicle wing-in-ground (WIG) that moves just a few meters above the surface thanks to the so-called ground effect, an aerodynamic phenomenon that compresses the air between the wing and the water, generating additional lift and reducing resistance. This principle promises to reach speeds of around 185km/h, and reduce resistance compared to conventional maritime options. The project advances. The public presentation took place at Singapore Airshow. According to the company, the vehicle is in the process of classification with Bureau Veritas since 2024, an international classification and certification society that must validate its safety before any regular operation, and whose resolution is expected in mid-2026. In parallel, the company has closed agreements with maritime transport operators to start services from the second half of that same year, always conditional on regulatory approvals. The first specific route on the map. The most immediate agreement places the operational debut on the route between Singapore and Batam, in Indonesia, where the operator BatamFast plans to use a unit of the AirFish Voyager. ST Engineering places this start in the second half of 2026. It is estimated that the vehicle could complete this journey in around 25 minutes thanks to speeds, well above the usual times of conventional ferries. If this schedule is confirmed, the connection would become the first commercial route in the world operated with WIG technology. The next deployment front is in India, where the operator Wings Over Water Ferries has announced its intention to lease and commission up to four units of the AirFish Voyager from the end of 2026. The initial strategy targets coastal states with strong tourism and regional transport demand, including Andaman and Nicobar, Lakshadweep, Maharashtra, Gujarat, Goa, Andhra Pradesh and Tamil Nadu. In addition to the operation, the agreement contemplates exploring local assembly, manufacturing, training and maintenance capabilities, in line with the industrial initiatives promoted by the program. Make in India. The regulatory and technical barrier. Beyond speed or agreements with operators, the determining factor continues to be the certification framework. The company proposes that the AirFish Voyager be governed by maritime standards, a decision that would reduce infrastructure requirements and facilitate its integration into existing coastal routes using conventional port facilities. However, as we say, you still need to complete your certification process, an essential step to start providing any commercial service. Images | ST Engineering AirX In Xataka | The Strait of Malacca is not enough: China’s new obsession is to prevent the US from confiscating its ships

There are those who claim that AI is going to kill software. Most likely, just the opposite will happen.

by

It was 1993 and a young man named Marc Andreessenstill with his hair intact and a lot of ambition, set out to create a web browser with a colleague who worked with him at the National Center for Supercomputing Applications (NCSA) at the University of Illinois. They called it Mosaic. That browser allowed you to explore the newborn World Wide Web with the click of a mouse, something amazing because to date the browsers that had been developed were in text mode and were used with the keyboard. Suddenly the web could include images and even multimedia content. A little later Andreessen met Jim Clark, founder of the legendary Silicon Graphics, and he encouraged him to embark on an adventure with his web browser, so together they decided to set up their own startup and that led to the creation of one of the mythical browsers in history: Netscape. Marc Andreessen. Source: Wikimedia. That made Andreessen a multimillionaire, and from 2005 his interest changed. I no longer wanted to start a business, but rather help others start a business. He ended up founding the venture capital firm Andreessen Howoritz and became richer and richer (while losing more and more hair). His successes and bets in the technology industry are notable, but also he left some famous phrases. The most notable is probably the one delivered in 2011 when saying “Software is eating the world.” His argument was compelling: the companies that were growing the most were software or had software as one of their key pillars. He was not wrong—today these companies are absolute technological giants—and that quote became one of those seemingly immutable laws. And then AI arrived. Is AI eating software? The appearance in November 2022 of ChatGPT caused an extraordinary impact, although it had been clear for a year and a half that something was changing in the software world. In July 2021 we talked about GitHub Copilot when the conversation around generative AI was still awakening. That project allowed machines to program for us. This concept has become over the years the clearest example that AI can change things– Developers have embraced this tool like no other industry, but they know that they cannot trust her 100%. Still, we are living in an exciting time for software. One in which the rise of vibe coding is absolute. Andrej Karphaty I thought about it these days and explained that when coined the term A year ago maybe he was wrong with that way of calling it. Now he proposed changing it to “agent engineering” to reflect the type of tool it has ended up being. Be that as it may, the vibe coding/agent engineering has sparked a fever for software development. In many ways it has democratized it and turned us all into potential developers. I am experimenting myself with Open Source tools that I am modifying to my liking, and others are doing exactly the same in this era of “custom micro-applications”. But in recent days we have also experienced a disturbing phenomenon. The threat of the “SaaSpocalypse” The generative AI models and AI agents that have appeared in recent months have ended up having an extraordinary impact on the software world. In fact we are not referring to vibe coding as suchmore aimed at occasional programmers or users without knowledge who are encouraged to create their own apps. We are referring to what has happened to the large software companies that for years have controlled the market with the SaaS (Software as a Service) philosophy. This model has made it possible to convert, for example, Photoshop or Office no longer into software that was sold in boxes and you installed on your PC, but into applications that run in the cloud and that you can use from a browser. Applications are no longer applications, they are services. And you don’t pay for them by buying them at once: you subscribe to them. But AI appears to threaten that model. Last week, software companies lost a total of $300 billion on the stock market overnight. The shares of MongoDB, Salesforce, Shopify or Atlassian lost between 15 and 20% in value in a few hours, and talk of the “SaaS apocalypse” began (“SaaSpocalypse“). Source: Perplexity These falls are obvious if you take a look at Google Finance or any monitoring platform for these companies. Or if you ask Perplexity like I did, which creates a nice (and worrying) graph about some of the companies consulted: the collapse in the last month is really terrible, although it seems that the trend seems to have stopped. Be that as it may, this “SaaS apocalypse”, whether it exists or not, raises a question that is precisely in line with what Andreessen said. If software ended up eating the world, Will AI eat software? Will it kill him? Software is not going to die. Just the opposite What is happening at the corporate level with these falls has of course to do with AI, but also with the model and philosophy of these companies themselves. Those SaaS platforms that dominate the world They have not stopped abusing their dominant position for years with aggressive price increases and rigid contracts. We have seen it with companies like Salesforce, whose customers have seen prices rise 35% in the last two years, or the mind-blowing case of Broadcom, whose customers in Europe were facing price increases of 1,500% in your VMware virtualization software licenses. This has created an ideal breeding ground for clients of these and many other companies with SaaS platforms to look for alternatives, and also look for them in AI. Artificial intelligence is not only offering efficiency, but is giving many customers that “key to the cell” that allows them to escape from their suppliers, who treated them like hostages. In fact, the current correction in stock market valuations can also be understood as a post-bubble hangover from 2021, when the pandemic boosted all these companies. We saw it with … Read more

This year more will be invested in data centers than what the US spent to reach the Moon

by

We are witnessing live a technological race that is no longer measured only in announcements or demonstrations, but in tangible investments that grow at a speed that is difficult to ignore. In the United States, and also in other regions, large companies are allocating increasing amounts of money to build and expand the infrastructure that supports the current deployment of artificial intelligence services and the expansion of computing capacity that these companies pursue. Some speak of excessive enthusiasm and even a possible bubblebut the money already invested is part of the economic reality of the sector, while the projected figures point to an even larger scale. The question, therefore, is not whether the bet exists, but how big it really is. The numbers. If the first step is to assume that the investment exists, the second is to quantify it precisely. Data collected by The Wall Street Journal They suggest that Meta, Amazon, Microsoft and Alphabet (Google) could concentrate a joint expenditure of up to $670 billion in 2026 aimed at artificial intelligence infrastructure. We are talking about capital outlays associated with data centers, hardware and capacity expansion, not just “brick”. When a single annuity reaches that order of magnitude, the conversation shifts from expectations to measurable economic consequences. Dollars are not compared. What the analysis proposes is not a direct equivalence between amounts spent in different times, but rather a way of measuring the economic weight of each effort in its own historical context. Instead of adjusting old figures to current prices for inflation, the article uses the percentage of gross domestic product (GDP) as a common reference for separate projects over time. That shift in focus shifts the conversation from absolute money to relative magnitude within the U.S. economy. And it is precisely there where the investment associated with artificial intelligence acquires a historical dimension that is difficult to ignore. The investments. Among the great economic milestones that are often used as historical references in the United States, there are episodes as different as the Louisiana Purchase, the railroad expansion of the 19th century or the construction of the interstate highway system, all of them with different relative weights within the economy of their time. Using that same metric, this effort has been estimated around the following magnitudes: Louisiana Purchase: 3% of GDP Railway expansion: 2% of GDP Interstate highways: 0.4% of GDP Apollo Program: 0.2% of GDP As we can see, the planned investment in artificial intelligence infrastructure is around 2.1% of GDP. It’s not the same, but. Historical parallelism functions as a scaling tool, not as institutional equivalence. The large projects with which the current moment is compared were, in many cases, public initiatives financed directly or indirectly by the federal State, while investment in AI infrastructure corresponds mainly to corporate spending. That distinction is important, however, from a strictly economic perspective, the relative size of the effort remains comparable. The State does not pay the main bill. That the bulk of investment is private does not mean that the public sector remains on the sidelines. It’s no secret that the U.S. government influences the pace and shape of deployment through regulatory decisions, permitting, energy planning, and federal land use for new data center infrastructure. This set of levers is not a substitute for corporate capital, and at the same time it fits with a broader strategy aimed at preserving American leadership in the global race for AI. Historical comparison. This ends up pointing out something deeper than a simple number: it indicates the type of priority that a society decides to give to certain technologies at a specific time. When investment in AI infrastructure reaches a relative weight comparable to that of major American economic milestones, reading transcends the technology sector and enters the strategic realm. Images | POT | freepik In Xataka | Daniela Amodei, co-founder of Anthropic: “studying humanities will be more important than ever”

With the consumer segment drowning, Samsung is the first to manufacture HBM4 memory. And it will be for NVIDIA, of course

by

Samsung is one of the names of this February. They are expected to present the Galaxy S26but they have something on the table that will be a shock not only to their coffers, but to the engine of the South Korean economy. We refer to high bandwidth memories because, in the midst of the RAM and SSD crisisSamsung is prepared to mass produce the HBM4 memories. And it will be for the AI, How could it not be any other way?. In short. The South Korean company has not confirmed it, but recent reports published by Reuters and local sources such as Korea JoongAng Daily They point out that Samsung will begin mass manufacturing HBM4 memory chips starting next week. It will be the first of the three companies that dominate the production of memory chips (the others are the South Korean SK Hynix and the American Micron, the which is gone from the RAM consumption) in starting to manufacture in large quantities these fundamental memories for the artificial intelligence. HBM4. This type of memory, as its name suggests, has enormous bandwidth. This is crucial for GPU needs and while NVIDIA has remained faithful to GDDR memory for its graphics cardsAMD did flirt with the stacked technology of the HBM chips for their Vega GPUs. However, it is not a technology for consumption, not because its performance is inadequate, but because it is too expensive. Making HBM memory is more expensive than making traditional DRAM chips, but the advantages are there. With HBM4, for example, the density of stacked chips allows Double the bandwidth of the previous generation. This is key to transmitting more data per second, but they also consume up to 40% less energy than HBM3 memories. NVIDIA. The most interested is, as we have said on previous occasionsNVIDIA. And if NVIDIA benefits, practically the entire leading artificial intelligence industry will take advantage of it because its chips are what are currently moving the industry. It is estimated that Samsung memories will go to NVIDIA’s Vera Rubin acceleration systems In fact, it has been reported that Jensen Huang himself has urged to accelerate and increase the production of these chips. Well, Huang has asked the entire semiconductor industry to manufacture components for his cards. let’s get the batteriesit is not something that concerns only Samsung. Spearhead. According to a Korea KoongAng Daily source, “Samsung has the world’s largest production capacity and broadest product line. It has demonstrated a recovery in its technological competitiveness by becoming the first to mass produce the highest-performance HBM4 memory.” Because, in this field, its main competitor, the neighboring SK Hynix, is expected to begin mass manufacturing its response between March or April, enough time ahead for Samsung to begin sending its memory to NVIDIA. And, here, Samsung’s great advantage is that it does not depend on TSMC: it has its own foundry and the HBM4 modules are based on 4 nanometer photolithography. Looking to the future. SK Hynix’s delay is not because they have rested on their laurels: they are the ones who they lead the way in the previous generation thanks to the HBM3E memory, but due to their schedule and they did not need it, they started developing the new generation later than Samsung. But of course, although HBM is the standard in current AI systems, we have already said that they are expensive chips and, in addition, they heat up a lot, requiring dissipation equipment to match. And that’s where companies are combining HBM4 memory production with a new generation of DRAM memory. The idea is to find a way for this memory – slower, but cheaper and ‘fresh’ – to compete in bandwidth with the HBM. Samsung and SK Hynix are in it, but they will have to compete against someone who didn’t play in this league: an Intel that does not arrive alonebut from the hand of the Japanese giant SoftBank. In short: Samsung has decided to get back on its feet when it comes to manufacturing muscle. And most important of all, all the companies that make memory modules remain focused on one thing: they make hardware for artificial intelligence while components such as RAM and SSD consumption they have the prices through the stratosphere. Images | Maxence Pira, Choi Kwang-moNVIDIA logo (edited) In Xataka | Huawei has kept its promise: it has found a way to boost China’s competitiveness in AI compared to the US

an 11-meter-long “ghost jellyfish”

by

A dark red creature, without stinging tentacles but with fleshy arms that extend like theater curtains, sailing silently in the absolute darkness. This, which can be quite scary, This is exactly what a scientific expedition has found in the Argentine Sea: a specimen of Stygiomedusa giganteaa jellyfish which has surprised by its large size when compared to that of a school bus. Hard to see. The Stygiomedusa gigantea It does not receive the nickname “ghost jellyfish” on a whim, since, despite its large size, the truth is that It is very difficult to find because of how elusive it is. To give us an idea, since the first specimen was described in 1910, hardly any have been officially recorded. about 130 sightings throughout the planet for more than a century. This makes this sighting that was made by the expedition ‘Lives in extremes‘ be really striking, although what has mattered is the quality and detail of the data obtained. How it was done. The scientific team, aboard the R/V Falkor research vessel, used the SuBastian ROVa remotely operated vehicle capable of descending to abyssal depths and transmitting 4K video. It was this robot that captured the jellyfish on the Argentine continental slope that has left many with their mouths open. The images point to a huge size of 11 meters when it has its ‘arms’ extended, which makes it comparable to a school bus. But also, unlike other jellyfish, the Stygiomedusa It does not sting, since it does not have poisonous tentacles. What it does have are four massive oral arms that it uses to catch prey and bring it to its mouth. Its color. Its reddish-brownish tone makes it practically invisible in the depths, where the red light of the solar spectrum is the first to be absorbed by water. To the eyes of other deep-sea animals, this jellyfish is effectively black and invisible, which makes it very easy to find food. Beyond the jellyfish. Although it has received practically all the attention due to its large size, the true scientific “treasure” of the expedition could be on the seabed. And the researchers from CONICET and the University of Buenos Aires were not only looking for pelagic fauna, but They wanted to map and study the underwater canyons, like the Colorado-Rawson canyon. And there, the SuBastian ROV’s sonar and cameras found something unexpected: the largest cold-water coral reef known to date in the region. Its characteristics. It is nothing less, since we are talking about an ecosystem dominated by the species Bathelia candida, a scleractinian coral that forms complex three-dimensional structures. The data indicates that one of its patches covers 0.4 square kilometers and extends the known distribution range for this species some 600 kilometers to the south. This is a vital discovery, because this coral acts as an “ecosystem engineer”, providing shelter, breeding and feeding grounds for an immense variety of fauna, including fish of commercial interest. Use of technology. The ship that has given rise to all these discoveries has traveled more than 3,000 kilometers from Buenos Aires to Tierra del Fuego, carrying out a systematic sweep of the ocean floor. To do this, they have used robots like the SuBastian, which allows marine biologists to do something that traditional trawl nets could not: observe the behavior of species in their natural habitat without harming them. This type of mission reminds us of a recurring maxim in modern oceanography: we know better the surface of Mars than the bottom of our own oceans. Finds like this giant jellyfish or new coral reefs are not just curiosities; They are key pieces to understanding how to protect biodiversity in a rapidly changing ocean. Images | Schmidt Ocean Institute In Xataka | Thousands of people are hooked on the most popular streaming of the moment: seeing rare fish 3,900 meters under the sea

The consequence has also reached payrolls, according to Levante

by

We live in a world where cyberattacks have a growing impact on everyday life. It’s no longer just about data leaks capable of compromising privacy or fueling new waves of cyber scams. Nor only from rescheduled flights because the systems of an airport or an airline they have been committed. Cybersecurity incidents can also, indirectly, delay something as basic as collecting a payroll. This is what the employees of a Spanish agricultural company would have recently experienced. The cyber attack. Levante-EMV points out that Agriconsathe Valencian company responsible for the juices and preserves of the same name, suffered a computer intrusion at the beginning of last week. Official details are scarce, but the incident would have altered the company’s normal operations for several days. Subsequently, activity would have been restored normally, which suggests a relatively quick response capacity on the part of the actors involved, including an external company whose specific role has not been specified. Delay in payrolls. Agriconsa workers found themselves in an unusual situation this February. Instead of receiving their payslips on the scheduled date, the payment arrived late. Sources consulted by the aforementioned newspaper assure that the cyberattack caused a “total blockage of the computers.” As a direct consequence, essential processes such as order management, sending invoices or paying payrolls were temporarily affected. What they say from the company. Levante-EMV collects statements from José Juan Felici, director of the company in Algemesí. According to the manager, “the external company” that collaborates with them reacted quickly and allowed normality to be recovered progressively. Felici acknowledges that it took them “a couple of days to recover,” but maintains that the problem is now completely resolved, while regretting the inconvenience derived from the cybersecurity incident. One of the most revealing elements of his words is that the external company in charge of the systems carries out updates and implements improvements. Even so, the company ended up suffering from the attack. This highlights that even organizations that invest in protection can become victims of malicious actors whose primary motivation is often to obtain illicit financial gain. Ransomware attack? In an incident of these characteristics, one of the first hypotheses usually points to the participation of a ransomware group. This is what the sources consulted by Levante-EMV suggest, who maintain that the release of the systems depended on the payment of a ransom. Felici, however, denied to that medium that he had received any financial demand to restore the equipment, although he did confirm the existence of the computer incident. Companies, in the spotlight. Companies continue to be one of the priority targets of cybercriminalslargely due to the possibility of obtaining a payment in exchange for unlocking previously encrypted systems. In some cases, preventive measures are insufficient and even backups may be compromised. In others, restoration is possible without having to give in to the attackers’ demands, which shows the diversity of scenarios that can occur after an attack of this type. From Xataka we have contacted Agriconsa to obtain more information about what happened and we will update this article as soon as we receive a response. Images | Google Maps | freepik In Xataka | How to know if your passwords have been leaked on the Internet

We have been dreaming of stopping aging for centuries. The question is if we are finally achieving it: Crossover 1×37

by

Myths such as that of the fountain of eternal youth have helped human beings through the ages. let’s dream of not aging and living forever. Reality is still cruel: Although life expectancy has increased, we age without seeming to slow it down. But there are those who argue that there may be. In this episode we have spoken with Dr. José Hernández, longevity expert and founder of a clinic specialized in Age Reversal, to understand what aging really is, why it is considered a disease today, and what technologies could allow us to go back biologically. In this debate we talk about information theory and epigenetic damage, cellular reprogramming, or how there are already large companies —and some billionaires— investing significantly in this. In fact, the most advanced science is accompanied by methods that seem much more effective not so much in slowing down aging but in ensuring that our physical condition is much better when this process affects us: Physical exercise is an absolute pillar of longevityassures this expert. Of course there are other factors that influence – diet and genetics, of course, do – but we are dealing with a question that has opened numerous avenues of research, some of which are promising. Who knows what can happen. On YouTube | Crossover In Xataka | Don’t tell me your age, tell me your grip strength: how simple gestures tell us how well we are aging

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.