obsessed

There are dozens of influencers obsessed with helping us choose the perfect can of tuna. The problem is that what they say doesn’t make much sense.

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There is a fine line that connects volcanic eruptions, oil combustion, and waste incineration with our kitchens: mercury. A mercury that is produced in dozens of activities (mostly human), which ends up deposited in the waters, transformed into methylmercury by millions of microorganisms, stored in fish and, finally, in our stomach. It was only a matter of time before it became the huge food scandal it is today. Methylmercury also reaches social networks. The problem is so big that there is no shortage of experts and influencers that defend messages such as choosing cans of “tuna” over cans of “light tuna.” The music is that of institutions such as the European Food Safety Authority (EFSA) that recommends avoiding large fish; The lyrics hide many problems. At the end of the day, the viral message mixes correct intuitions, with more than debatable scientific evidence (it uses, to begin with, commercial classifications that do not have direct Spanish correspondence). This is not the first time that an idea that sounds good ends up giving us headaches. And why is that a problem? Because, like it or not, fish is a centerpiece of many diets. Not only for its protein contribution, but as a priority source of certain fats that are very difficult to replace by any other means (e.g. omega-3). The thing is, with all that, comes methylmercury. And exposure to methylmercury is a tricky thing: it can harm brain development and be toxic to the nervous system. In fact, it can cause symptoms such as tremors, memory loss, and cognitive dysfunctions. The most vulnerable groups are pregnant women, nursing mothers, babies and young children. Do all fish have the same amount of mercury? No, it doesn’t. According to the Spanish Agency for Food Safety and Nutritionthere are four really dangerous species: the swordfish or emperor, the bluefin tuna (Thunnus thynnus), the shark (dogfish, mako shark, dogfish, dogfish and blue shark) and pike. These are problematic in women who are pregnant or planning to be pregnant, nursing mothers and children under 10 years of age. In fact, AESAN recommends directly avoid its consumption. The rest of the species are not problematic for the effects of mercury: they are safe and healthy. And the AESAN recommends between three and four servings a week even in the at-risk population. And aren’t there more differences according to levels? That is, are there only dangerous and non-dangerous species? No no. It is true that each species contains a different amount of mercury. In fact, each copy has different levels. That’s where the problem comes from: we need simple ‘rules’ to help us deal with uncertainty. On a practical level, according to the available studies, we can only define species with low mercury content as those on this list: Pollock, Anchovy, Herring, Cod, Bacaladilla, Cockle, Mackerel, Squid, Shrimp, Crab, Cane, Coquina, Carp, Squid, Clam, Choco/Cuttlefish, Lobster, Coquina, Sea bream, Sprat, Prawn, Horse mackerel, Lobster, Prawn, European sole, Dab, Sea bass, Mussel, Merlan, Hake, Razor clam, Oyster, Pomfret, Flounder, Squid, Octopus, Shrimp, Atlantic salmon, Pacific salmon, Sardine, Sardinella, Sardinopa, Plaice, and Trout. Everything else has medium levels and making distinctions between them is impossible on a practical level. So it doesn’t make sense to follow these types of recommendations? In general, any attention we pay to food is good. The system is configured in such a way that, if we let ourselves goour diet gets worse. However, we know that Obsessing over diet is also full of problems.. Using heuristics that complicate the purchase without substantial improvements is not as good an idea as it seems. Image | Tobias Tullius In Xataka | The scientific reason why miracle diets don’t work is you

Ford CEO is completely obsessed with Chinese electric cars

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“Xiaomi is the Apple of China.” These are the words not of just anyone, but of Jim Farley, CEO of Ford. The boss of the American company is one of the bosses who has been the most talked about in recent years. And the reason is approach when studying rivals. It is rare to see the CEO of a company praising a rival, but Farley not only does not mince words, but is determined to air the details that need to be improved to catch up. And if there’s one thing that’s catching Farley’s attention, it’s Chinese cars and, in particular, the Xiaomi SU7. Knowing the competition. The automobile industry has embarked on electrification, and if this adventure is making one thing clear, it is that China is leading the way. Although Tesla struck first from the West, it is the Asian giant’s companies that are pushing both technology and batteries. This is generating an ecosystem in which chinese cars They are extremely competitive in the market, something that is making Western manufacturers nervous. To better understand his competition, Farley had the idea of ​​carrying out a series of trips to China to select cars to take back to the United States. Not to dismantle them – or not only – but to drive them on a daily basis on everyday trips. In a recent interview with La Naciónstates that the entire management team is going on that trip to choose 50 cars. He doesn’t want to get off his SU7. Of those 50, they keep five, and they are the ones they take back to Detroit. The one chosen by Farley? He Xiaomi SU7. He liked it to the point of saying that “it’s fantastic,” stating that he didn’t want to get off of it. Previously, already rated the company as “an industry giant and a much stronger consumer brand than automotive companies,” but now it has gone a little further. The Apple of China. “Everyone talks about the Apple car, but the Xiaomi car already exists and it is fantastic,” said before the official cancellation of the car was known. And, in fact, in that interview for La Nación, Farley commented that he is not surprised that Xiaomi is so successful. “It is the Apple of China.” Precisely, it is the “ecosystem” that stands out, something that is Apple’s strong point: “You get into the car with your phone and you don’t have to pair it because it automatically identifies it. It has facial recognition, an AI assistant and can accelerate from 0 to 100 km/h in three seconds with just the push of a button. It looks like a porsche taycan”, he assures. Humiliating. Is it perfect? “No, and we could surpass it in the segments in which we compete,” adds the manager. But Farley’s ‘flowers’ are not only for Xiaomi, but for the Chinese industry. At the Aspen Ideas Festival held in June of this year, CEO described what he saw in China as “lor most humiliating thing I have ever seen in my life”. The reason? That 70% of the world’s electric vehicles are manufactured in China and that they have cabin technology much superior to that offered by many Western brands. “Automatically, your entire digital life is reflected in the car.” Technology gap. Farley’s interest in competitors, both Chinese and domestic, is evident. When Ford entered the electric segment, He did it like an elephant in a china shopwith a Ford Mustang Mach-E which was very expensive to develop when its competitors already had much more optimized processes that allowed the price of cars to be lowered. Since then, they have been changing strategy and moving chips. They hired Doug Field, former chief engineer of the Tesla Model 3 and member in Apple car design, and was the one who opened cars to Farley. Field sincere: “Jim, your parts release system and development architecture are 25 years behind. You can’t compete like that with BYD”. The acid test will be the new electric pickup that Ford is preparing for 2027 with the aim of making it affordable. We will see, of course, how the market responds, but what is clear is that Farley does not fall short when it comes to praising the competition. Images | Xataka, Ford In Xataka | Ford invested 1 billion to produce electric cars in Europe. Now it will invest money in laying off 1,000 employees

The industry became obsessed with training AI models, while Google prepared its masterstroke: inference chips

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In recent years, what was truly relevant was training AI models to make them better. Now that they have matured and training it no longer scales as noticeablywhat matters most is inference: that when we use AI chatbots they work quickly and efficiently. Google realized this change in focus, and has chips precisely prepared for it. Ironwood. This is the name of the new chips from Google’s famous family of Tensor Processing Units (TPUs). The company, which began developing them in 2015 and launched the first ones in 2018now obtains especially interesting fruits from all that effort: some really promising chips not for training AI models, but for us to use them faster and more efficiently than ever. Inference, inference, inference. These “TPUv7” will be available in the coming weeks and can be used to train AI models, but they are especially aimed at “serving” these models to users so that they can use them. It is the other big leg of AI chips, the really visible one: one thing is to train the models and quite another to “execute” them so that they respond to user requests. Efficiency and power by flag. The advance in the performance of these AI chips is enormous, at least according to Google. The company claims that Ironwood offers four times the performance of the previous generation in both training and inference, and is “the most powerful and energy-efficient custom silicon to date.” Google has already reached an agreement with Anthropic so that the latter has access up to one million TPUs to run Claude and serve it to its users. Google’s AI supercomputersand. These chips are the key components of the so-called AI Hypercomputer, an integrated supercomputing system that according to Google allows customers to reduce IT costs by 28% and a ROI of 353% in three years. Or what is the same: they promise that if you use these chips, the return on investment will be multiplied by more than four in that period. Almost 10,000 interconnected chips. The new Ironwoods are also equipped with the ability to be part of joining forces in a big way. It is possible to combine up to 9,216 of them in a single node or pod, which theoretically makes the bottlenecks of the most demanding models disappear. The size of this type of cluster is enormous, and allows for up to 1.77 Petabytes of shared HBM memory while these chips communicate with a bandwidth of 9.6 Tbps thanks to the so-called Inter-Chip Interconnect (ICI). More FLOPS than anyone. The company also claims that an “Ironwood pod” (a cluster with those 9,216 Ironwood TPUs) offers 118x more ExaFLOPS FP8 than its best competitor. FLOPS measure how many floating-point math operations these chips can solve per second, ensuring that basically any AI workload is going to run in record times. NVIDIA has more and more competition (and that’s a good thing). Google chips are a demonstration of the clear vocation of companies to avoid too many dependencies on third parties. Google has all the ingredients to do it, and its TPUv7 is proof of this. It’s not the only oneand many other AI companies have long sought to create their own chips. NVIDIA’s dominance remains clearbut the company has a small problem. In inference CUDA is no longer so vital. Once the AI ​​model has been trained, inference operates under different game rules than training. CUDA support remains a relevant factorbut its importance in inference is much less. Inference focuses on obtaining the fastest possible answer. Here the models are “compiled” and can run optimally on the target hardware. This may cause NVIDIA to lose relevance to alternatives like Google. In Xataka | When you’re OpenAI and you can’t buy enough GPUs, the solution is obvious: make your own

Bill Gates was obsessed with knowing how long his Microsoft employees worked. So I looked at the parking lot

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All the millionaires who have triumphed in the field of technology They tend to be people of remarkable intelligence, who over time have developed skills that, to the rest of humanity, They seem curious to us at the very least. Jeff Bezos developed an almost unhealthy obsession with optimize time in meetings and Elon Musk He can’t stand anyone opposing him when he has made a decision. Bill Gates, for his part, is known for being especially inquisitive with his employees, developing his own techniques that bordered on toxic to control whether his employees were in the office or already they had gone home. If the boss doesn’t leave, neither will the employees.. In 2016, the founder of Microsoft made some surprising statements on the BBC about how it controlled which employees worked the most hours. One of the things Gates valued most when he ran Microsoft was the commitment and dedication of his employees. “At that time I was quite extreme with work. I worked on weekends. I didn’t really believe in vacations,” he told the British network. The millionaire has an excellent memory for data, which is why he was able to memorize the license plates of his employees’ cars and relate them to their owners to know who was in the offices when he arrived and who had left before him. His partner Paul Allen corroborated Gates’ confession in an interview with Vanity Fair. “Microsoft was a high-stress environment because Bill drove others as hard as he drove himself. He was becoming the foreman who hung around the parking lot on weekends to see who had arrived.” In-person presence is not enough. In addition to being a somewhat toxic attitude towards their employeesGates soon realized that this was not the most effective system to monitor your staff. Verifying the unreliability of this system helped Gates to recognize that presence is not the best indicator for measure employee performance. An approach that, perhaps, the current managers of some companies should review when it comes to design return to office policies. “The Fireproof” Gates. Paul Allen tells in his interview with Vanity Fair a Gates anecdote with an employee who had worked 81 hours in four days to get a project done: “Toward the end of the work week, Gates asked Greenberg what he would be working on the next day. Greenberg notified Gates that he planned to take the next day off, to which Gates responded, ‘Why would you want to do that?’ Gates couldn’t understand it. “He never seemed to need to recharge his batteries.” However, as Gates himself acknowledged when analyzing his own behavior, Working long hours has nothing to do with being more productive. Burnout takes a toll on productivity and can end up being counterproductive to your company’s interests. Furthermore, the company grew so much that it was increasingly difficult to learn all the car license plates. ”In the end, I had to relax when the company reached a reasonable size.” Burned worker syndrome. Overloading employees in this way with eternal hours is one of the main causes of sick leave and resignation among employees. The World Health Organization (WHO) includes the Burnout worker syndrome in your International Classification of Diseases This syndrome affects 10% of workers and in its most severe forms can cause more serious disorders in between 2% and 5% of workers, leading to depression and anxiety. The 2022 Labor Market Guide prepared by Hays detected that more than 30% of the workers surveyed stated that, after the pandemic, the feeling of burnout among employees had increased, being one of the main reasons for many of them to join the company. silent resignation. Take care of employees to improve productivity. Work culture has evolved significantly since the days when Gates was at the helm of Microsoft. Companies increasingly value work-life balanceand they recognize that employees need time to rest and recharge. Even Gates himself has changed his stance on vacations, recognizing the importance of rest for mental and physical health, as he stated in a talk about Alzheimer’s in your YouTube channel. In Xataka | Bill Gates has been a famous “workaholic” but he knew who to hire to solve problems: the lazy ones In Xataka | Bill Gates liked to step on him: his Porsche 911 discovered him on a 2,000 kilometer trip and the police also discovered him Image | Commons

OpenAI is obsessed with making ChatGPT the best financial AI, and it makes all the sense in the world

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OpenAI has launched a secret project to train its artificial intelligence models on complex financial tasks, according to Bloomberg quotea medium that claims to have had access to internal documents. As the media shares, the company led by Sam Altman has recruited more than 100 former employees of large investment banks such as JPMorgan Chase, Morgan Stanley and Goldman Sachs to teach its AI to build financial models, one of the most time-consuming jobs for junior analysts. Project Mercury. As pointed out by documents to which the media has had access, this initiative pays $150 per hour to these contractors to write instructions and develop financial models of different types, which can range from corporate restructuring to IPOs. Sources Bloomberg assures that participants also have early access to AI that is being trained specifically to replace these types of financial tasks. A selection process almost automated. As well as detail From sources close to the company, candidates go through a 20-minute initial interview with an AI chatbot, followed by tests on financial statements and a final modeling assessment. Once in the program, contractors are expected to submit one model per week, prepared in Excel following industry standards, from margins to percentage format. Another way for OpenAI to become profitable. Although OpenAI recently reached a valuation of $500 billionthe startup still has not been able to be profitable. And the company is burning money to invest in all kinds of projects, while large data centers are built with excessive consumption of energy and water. And all this while the subscription of your users It is one of the few ways through which the company obtains direct income, something that currently does not pay off. Mercury can enable its AI to penetrate a key sector such as consulting and finance, while providing a new avenue for income. Investment banking. Just like point In the middle, banking analysts usually work more than 80 hours a week, especially when it comes to managing active operations, building detailed models in Excel for all types of tasks. For this reason, allowing them to choose a reliable language model for their tasks could save them a lot of time. The same old dilemma. According to some experts to whom he has had access the Fortune mediumconsider that a transformation is more likely than a direct elimination of employment. “I’m not convinced we’ll get rid of junior workers anytime soon, but I could imagine a world where the skill set we need them to have is different,” explains to the medium Shawn DuBravac, economist and CEO of Avrio Institute. The first wave of automation in banking. DuBravac esteem that in the next year firms will try to automate between 60% and 70% of the time that analysts currently spend on routine tasks such as cleaning data, formatting spreadsheets and building basic models. However, according to a McKinsey survey published in March, only 38% of organizations using AI predict that generative models will have little effect on their workforce size in the next three years. AI in banks. OpenAI already has important links with the financial sector. In fact, Morgan Stanley uses its technology in its wealth management division, and Altman’s company recently obtained a line of credit of 4 billion dollars from JPMorgan Chase, among other examples. What is also interesting is that JPMorgan itself is actively working on becoming the first “completely AI-powered megabank” of the world. Cover image | OpenAI and Lo Lo In Xataka | Anthropic has seen what OpenAI is doing with its circular financing and has decided that you only live once

We’ve been obsessed with strong passwords and public Wi-Fi for years. It turns out that the data sink was in the satellites

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While we worry about choose strong passwords and Don’t let the neighbor steal our WiFiit turns out that anyone can capture private data simply by pointing a dish at a satellite. It is not a government conspiracy, it is what some Californian researchers have discovered using a piece of equipment that only costs $800. What has happened? They count in Wired that several researchers from the universities of California and Maryland have been capturing communications from various satellites for three years. During this time they have collected a huge amount of private data. Among the information collected there is data on calls and messages from users of various operators, the pages visited by airplane passengers who used WiFi on board, communications between different critical infrastructures such as oil platforms or electrical companies and even police and military communications that revealed the position of their equipment. Why it is important. According to the study’s conclusions, it is estimated that around half of the signal from geostationary satellites carries sensitive information of consumers, companies and also governments. We strive to protect our WiFi networks, our online accounts or mobile devices, but the results of the research make it clear that satellites are a critical element through which data can also be leaked. A basic equipment. What is striking is that the researchers did not use super complex technology to obtain these findings. They simply placed a satellite dish on the roof of a university building and started pointing it at the satellites. They only invested $800 in the entire equipment. The data they obtained is only from the satellites that they could capture from their position in southern California, which according to their calculations is 15% of the total, so logic leads one to think that the amount of sensitive data will be much larger. In addition, it also shows that anyone could do it from another part of the world. Operators. The most significant data came from telephone providers, mainly T-Mobile, but also Telmex and AT&T México. In just nine hours of communications logging, researchers were able to collect the phone numbers of more than 2,700 T-Mobile users, as well as text messages and phone calls. After contacting T-Mobile to alert them, the company took steps to encrypt the data. AT&T also fixed this and claimed it was due to a satellite provider failing to configure some towers in a region of Mexico. Telmex has not said anything about it. Military and police data. That anyone’s data is exposed is already problematic, but that it is data from the army and security forces adds another layer of seriousness. Investigators were able to intercept communications between US military ships and the names of those ships. Since they were in Southern California, they also obtained data from Mexican authorities, including transmissions of confidential information about ongoing operations. “When we started looking at military helicopters, it wasn’t the sheer volume of data that worried us, but rather the extreme sensitivity of that data,” says Aaron Schulman, co-director of the research. Cybersecurity in space. In August of this same year, researchers found several vulnerabilities which, under certain conditions, could allow remote control of satellites. At the beginning of the Ukrainian war, Russia carried out a cyber attack against ViaSat which affected thousands of users. Cases like these highlight the need to bring the cybersecurity debate to space systems as well and not just terrestrial systems. Image | SpaceX on Pexels In Xataka | There are so many satellites orbiting the Earth that Starlink has a new concern: avoiding colliding with them

The US is becoming obsessed with virtual brides, China with boyfriends

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There are more and more people who They have found a friend in AIa psychologist and even a romantic partner. “AI buddy” apps are increasingly popular and, same as in other aspects of the AI ​​race, there are notable differences between the approach being taken from the United States and China, which is taking two directions marked by culture. In China, what is popular are AI boyfriends. In the United States, brides. What is happening. They tell it in China Talk. There is a clear dichotomy in AI peer trends between the two countries leading the AI ​​race. On the one hand we have a United States where AI brides aimed at the male audience and with a clear sexual focus succeed. On the other hand, in China, boyfriends aimed at female audiences and with a focus on narrative immersion and game mechanics are more popular. Why is it important. Although with differences in approach, the rise of these apps reveals an underlying problem: widespread frustration with real human relationships. loneliness In a hyperconnected world, the ‘dating fatigue‘ of dating apps and other factors such as fear of rejection or marital failure are contributing to the use of these apps. According to this study that analyzed the 110 most popular AI companion apps, it is estimated that they have about 29 million active users per month, not counting more general use apps such as Replika either Character.aiwhere users can chat with various characters, not always for romantic purposes. The American approach. In the aforementioned study, it was seen that more than half of AI bride apps are based in the United States, while only 10% are in China. They are products designed for heterosexual men and often have the word “girlfriend” in the name (17% compared to only 4% with the word “boyfriend”). According to a report by girlfriend.ai published by Reuters, half of the users who use this app are young men who feel lonely and prefer an AI girlfriend than face possible rejection. The influence of the ‘manosphere‘ also plays an important role with misogynistic discourses that paint AI girlfriends as an alternative to real relationships because they are more controllable and submissive. The Chinese approach. Although there are also AI brides, the most successful format is the boyfriends aimed at the female public. One of the factors is the drop in marriage rateswhich in 2024 fell 20% compared to the previous year. There are many single people in China, but while many of single men live in rural areaswomen generally receive better education and move to cities, where it is easier for them to have access to technology. Furthermore, the advances in equality They have caused many women to deny the traditional family ideal and seek refuge in these pseudo-relationships. Two concerns. In the United States there is an open debate about the effects of AI on mental health and specifically AI colleagues are in the spotlight. The Federal Trade Commission has made a requirement to some of the most popular apps to provide information on how they are controlling the negative impact of their technology, especially on children and adolescents. In the United States, concern centers on the risk of addiction, emotional manipulation, and loss of contact with reality. In China too call for regulation to protect the youngest, but there is another reason that adds to their concern: the demographic crisis. They say in China Talk that, in the past, the strategy was to use the term “leftover women” in a derogatory way to push them to get married and have children (the classic “spinster” of a lifetime that the manosphere is resurrecting also in the West). In this sense, AI boyfriends pose a threat that can “distract” them from following the right path. Image | Girlfriend.ai / Zhumengdao In Xataka | China faces a bigger problem than the birth rate crisis: its young people are too busy to form couples

NASA is so obsessed with defeating China that, instead of delaying its next flight to the moon, it has advanced it

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It seemed like him Artemis program It was intended to be delayed again and again, but NASA’s last movement betrays the enormous geopolitical pressure of the moment. Artemis II, the mission with which the United States will return to lunar orbit for the first time in more than 50 years, is no longer scheduled for April 2026. They have advanced the launch window to February 5. A declaration of intentions. This two -month advance is not a simple recalibration of the calendar of the Artemis missions. It is the NASA’s evening response to the feeling that the United States is staying behind the Methodical Lunar Program of China. NASA recognizes that “there is a desire that we are the first to return to the surface of the moon,” and Artemis II is a first step. The mission without a launic had been postponed from 2024 to 2025, and then to “not before April 2026”. Now the launch window opens two months before: on February 5, 2026, leaving as a deadline “not later April 2026”. Solving the ghosts of Artemis I. To understand why this advance is significant, you have to remember why Artemis II was delayed first. The main cause was the thermal shield of the Orion ship. After the return of the mission without crew Artemis I in 2022, NASA’s engineers found a disturbing surprise: the Orion shield had lost pieces of protective material. The gases generated by the heat of the reentry did not dissipate as planned, creating an overpressure that started fragments of the shield. After almost two years of research, NASA says having understood and solved the problem with “maximum trust.” Of course, the solution is quite simple: they have modified the trajectory of the ship in their return to the earth to prevent the high temperatures that caused the failure. Next to him, NASA has solved other minor failures such as liquid hydrogen leaks that plagued the launch attempts of Artemis I. The second space race. “The administration has asked us to recognize being in what is commonly called a second space race,” said the buliesha Hawkins, NASA’s attached administrator. His current boss, Sean Duffy, agency administrator and Trump’s Secretary of Transportation, has a more direct rhetoric: “We are going to win the Chinese on the moon.” The fear in Washington is that China, which plans to send its first astronauts to the lunar surface in 2030, the American Mission Artemis III is ahead. While the Artemis program accumulated delays (largely due to the slowness of the Spacex Starship ship, necessary for the Aunidation of Artemis III), the Chinese program advanced with a firm step and without making a lot of noise. Experts in China’s spatial capacities such as Dean Cheng have come to affirm which is “quite likely that the Chinese terrify on the moon before NASA.” Advance Artemis II (the previous step without alansimiza) is the form that NASA has to demonstrate that it is still in the game. What is Artemis II. Its main objective is to certify that the Orion ship and the SLS rocket can take humans to the moon safely. For ten days, American astronauts Reid Wiseman, Victor Glover and Christina Koch, as well as Canadian Jeremy Hansenthey will go around the moon without landing, following a free return trajectory that will bring them back to the earth. The mission also has an important symbolic burden. They will be the first humans in more than 50 years to leave the orbit low terrestrial, traveling further than any other human being in history, more than 9,000 kilometers from the hidden face of the moon. From this unique perspective, They will carry out crucial geological observationsphotographing craters and old lava flows. They could even be the first humans to see with their own eyes the eastern basin, a gigantic structure on the boundary between the visible face and the hidden face of the moon. Their descriptions and data will be vital for the alunage of Artemis III. The great irony. The advance of Artemis II is a calculated movement. NASA shows the world that it has overcome its technical problems and is ready to accelerate. Artemis II is not just a step towards the moon, it is a sprint in a geopolitical career and for the control of lunar resources. The great contradiction is that, while NASA accelerates the overflight of Artemis II, its star mission, the alun of Artemis III planned for 2027, remains in serious trouble. Just a few days ago, the agency’s security advisors panel launched a blunt warning: They doubt that the modified version of the Spacex Starship is ready on time. His estimate is that he could accumulate a “year” delay. Therefore, the result of this space race is still open. Image | POT In Xataka | When the first human being stepped on the moon we all believed that he had abandoned the “earth.” We were wrong

The AI ​​is obsessed with which we are talking to her. He has a golden opportunity in an unsuspected place: our lounge

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Microsoft has sneaked into Samsung’s teles. This has been announced by both companies, which have reached an agreement so that Copilot is part both of the future Smart TVS and the company’s monitors. It is an interesting announcement not so much for what it means for these two companies, but for the tendency to which it points. Why is it important. Here Microsoft achieves a small triumph for its artificial intelligence solutions, and does so by the hand of a giant like Samsung. But here what attracts attention is that First great integration of AI in products that until now did not want to know much about it. Talk without stopping with TV. Our televisions are perfect candidates for adapted systems specifically to them, and this is a striking step in that direction. The command continues and will continue to be better in many cases (button to rise volume instead of “rises the volume a bit”, for example), no doubt. However, The Chromecast or the Fire TV Stick They already showed us that saying “reproduces the trailer of ‘Superman’” or “reproduces ‘Stranger Things’ in Netflix” is also a very powerful option. An AI to go further. Those functions of the traditional voice attendees of the teles are interesting, but having a model of AI as a co -pilot will allow that experience beyond and Interact with TV in a more versatile way. You can ask for time and visual information will appear accompanying audio information, for example, or by a movie and a card with its IMDB or Rotten Tomatoes qualification will also appear. Where did I stay with this series yesterday? And of course, we can ask us to recommend a movie – “What mystery film must be fun?” – Or that gives us related information about it – “What more movies has made the director of this film? We can talk with Copilot Normally on any subject, because after all, it is a generative AI and are designed for that purpose. The speakers, the next border. There is another hardware element that awaits the arrival of AI as a May water: smart speakers. That intelligent have never had much: Satya Nadella, CEO of Microsoft, already said years ago that these devices “They were more silly than a stone“. The option of being able to talk to these products when they are enhanced by a generative model such as Chatgpt or its rivals is very promising, and the curious thing is that at this point we should already have a great protagonist in this field. What vadis, Alexa+? Amazon is undoubtedly the great absentee of the AI ​​segment, and for months now Alexa+ presentedits new platform with generative AI models that in theory Ibn to flood your family of Amazon Echo devices. The deployment, however, is being infuriatingand the project still has a very limited reach, we assume that because they prefer to go on safe. The privacy dilemma. It is inevitable to think that one of the possible risks that will involve the use of these devices with this technology will be the invasion of our privacy. We already know How do TVS manufacturers spend them With its users in this section, and the traditional smart speakers have already built many suspicions about it In the past. In addition, where is the limit between a useful and an annoying or invasive presence in the living room? The battle to conquer your lounge started has. It seems inevitable that AI ends up being an integral part of our televisions as it begins to be in our computers or mobiles. Smart speakers are specially prepared so that in the future we talk more than ever with them, but will there be other hardware solutions that go further? Domestic robots, maybe? There is in this segment a huge challenge in many sections – non -invasive experience and, as far as possible, private – but also an extraordinary opportunity. And Microsoft, for the moment, has seen it. Image | Jens Kreuter In Xataka | There is a new fever among ultra -ups: fed up with technology, they want houses as “dumb” as possible

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