Mobile Tech & Gadgets

The problem is that we are not measuring it well

by

Artificial intelligence is transforming the work world and business at a speed never seen before. However, this technological advance also raises an important challenge: to measure the real impact of the In productivity. Traditional metrics do not correctly capture the contribution of AI since they only focus on specific process factors, not what economists call Total factors productivity. In other words, it is not enough that only improve a certain link In the production chain, but the improvement must be given throughout the process, obtaining a greater value of all the resources used in it. Therefore, one of the pending subjects will be Develop adequate tools To measure the productivity that AI contributes in those new parameters. AI is only a tool. Automation promoted by AI has already begun to make differences in sectors such as financial, technological and manufacturing. These AI tools allow Automize repetitive tasks and release time for activities that require human skills such as strategic decision making. However, that change of time use It is not reflected in productivity because The quality of work is not recorded or the long -term improvement of the company’s strategy. A study Harvard Business School revealed that generative AI can increase the speed of execution by 25% and individual yield by 43%. However, its impact is not uniform: while some sectors obtain immediate benefits, others do so in the long term. The “J” of productivity. Historically, technological innovations have followed a pattern known as “Productivity J curve“. Erik Brynjolfsson, economist and teacher of Stanford, explains that this model describes how companies that adopt new technologies in their processes initially experience a Reduction in its productivitythen bounce and rebound it. Some examples were seen with the adoption of the steam machine, electricity or the use of computers, whose positive effects took decades to consolidate. The generative AI does not escape this pattern. Although some companies may experience growth in their productivity, many face an initial fall due to the need to adapt their internal processes and train their employees, making this increase in productivity applaud over time. Default AI is a mistake. A proof that AI alone does not represent an improvement in productivity is The studywhich carried out the University of Pennsylvania and Harvard Business School. The study discovered that the use of Chatgpt had an immediate impact on the resolution of certain tasks, while others were resolved in less time when a human without AI intervention was carried out. Therefore, the productive growth paradigm only because of the fact of impleting AI has a huge asterisk. This growth is conditioned by the type of industry and economic activity that companies develop. The implementation of AI in the field of manufacturing or the primary sector requires greater investment and adaptation time, than for other companies in the services or financial sector. Time is the best productivity indicator. A Published article in Bloomberg On this subject made a flag of the popular saying “time is gold”. It pointed out that AI automation can be a “throwing weapon” that improves the productivity of some sectors, but sinking that of others. Its author set the Autophagus kiosks They already have some fast food establishments. With them, the company saves the salary of some ATMs receiving orders and charging them, which increases the productivity of the company. However, this solution makes use of the unpaid time of customers. What if those customers were other companies? Its productivity would be affected since its employees must use their time by making “your orders” and loading with the cost of automation that is saving its supplier. The new gold mine is not doing more, but less. This approach puts on the table the role of AI in the industry to take advantage of its ability to Automate processes. These processes consume a lot of time on the working hours of workers (such as Amazon already pointed out), so the challenge is to automate them so that workers use that time to improve their products, such and As I pointed out Jensen Huang. Rather Measure productivity in terms of how much does an employeeperhaps new metrics should be taken that collect factors such as What do you do your working time and How are they improving The product. This is a great change with respect to industrial metrics based on the amount of product produced per hour. In Xataka | “I have three years of work”: more and more IA managers believe that AI will end up removing the position Image | Unspash (Remy Gieing)

A victory for AI technology

by

In recent years, The use of copyright protected works To train artificial intelligence models has generated an intense legal and ethical debate. However, the limits of this practice remain diffuse. Now, a new movement in the courts has given a respite to the great technological ones, tilting the balance in their favor. Anthropic’s (partial) victory. This week, the company behind the chatbot Claude He got a favorable failure. As Reuters points outa Federal Judge of the United States dismissed the request of several musical editors, including Universal Music Group, who sought to provisionally block the use of protected copyright letters in the training of AI models. The origin of the case. In October 2023, Concord, Abkco Music & Records, Universal Music and several of his subsidiaries They took Anthropic to the courts. They accused her of using letters protected by copyright to train Claude, her chatbot of AI, who was able to generate answers with textual or almost textual fragments of her works. The plaintiffs argued that Anthropic had violated the copyright of at least 500 songs, although some specifically cited, such as Katy Perry’s ‘Roar’, ‘I Will Survive’ by Gloria Gaynor and ‘You Can’t Always Get What You Want’ of the Rolling Stones. They also stressed that the company did not have any license to use those letters. “There are already several aggregators of song lyrics and websites that fulfill this same function, but these sites have duly licensed the works protected by the copyright of the publishers to provide this service,” said the demand. Here presumably referred to web catalogs such as Genius or Musixmatch. The judge says ‘no’ to the motion. Judge Eumi Lee rejected the precautionary measure requested by the record records. He considered that they did not demonstrate irreparable damage or clearly evidenced how the use of protected letters to train Claude affected his reputation or the license market. In addition, he stressed that the petition was too wide. Claude no longer spits song lyrics. If you ask Claude today to recite the letter of ‘You Can’t Always Get What You Want’ of the Rolling Stones or ‘Roar’ of Katy Perry, the Anthropic chatbot will refuse for copyright reasons. Instead, it will offer some data related to the song, the album or the artist, but without reproducing it. This is because Anthropic reached an agreement with record records to apply filters that prevent their AI models, both current and future, to generate answers that violate copyright. That commitment was, in fact, one of the elements that the judge took into account by rejecting the precautionary measure requested by the editors. Everything is said. The judicial decision known this week does not end the case. The process continues its course, with both parties trying to achieve a victory. While the record records seek to protect the catalog of the artists they represent, Anthropic defends their training model supporting the legitimate use. Images | Freepik | Anthropic In Xataka | Millions of people are interested again in Chatgpt. The problem is that he has achieved it by violating copyright

Millions of people are interested again in Chatgpt. The problem is that he has achieved it by violating copyright

by

Networks had long since They didn’t go so crazy with an artificial intelligence tool. Normally there is a certain bustle when something attracts more attention to the account, but what has happened with the generation of chatgpt images based on GPT-4O It does not make any meaning. The generative AI has achieved something that had not achieved: surprise the user on foot. And he has done so shows one of the greatest criticisms of this technology: the violation of copyright. Content ©. In recent hours, social networks have been filled with memes, images and avatars edited by ChatgPT for look like Studio Ghibli drawings. The images are really spectacular, to César what is from Caesar, but it is not convenient to forget that an AI knows how to generate an image of a horse because, among other things, it has been trained with millions and millions of images of horses. Click on the image to go to Tweet. Otherwise. If an AI like chatgpt-4o is capable of converting or generating an image With the style of a specific author It is because it knows what the concrete author’s style is like. That is, ChatGPT-4O must have been trained with related content, based or generated by the study founded by Hayao Miyazaki. And what about that content? Which is beautiful, emotional and close, but not free or public domain. It is contained in copyright, an issue that has brought to ChatgPT and head OpenAi since its inception. It is no secret. Of course not. Chatgpt was trained with a huge amount of data obtained from the Internet, websites, books, publications in social networks, academic articles, etc. Content that can be freely accessible, but not for that reason. An image that is “on the Internet” is not “on the Internet”, is housed on a server that can belong to a company and can have (and surely) copyright. That you can see and download it for free to your mobile to use the wallpaper does not mean that you can print it and sell it or illustrate the cover of your next novel with it. Click on the image to go to Tweet. “Live artists”. Openai claims to have opted for a “conservative approach” for the images that use the work of other artists and have “added a denial that is activated when a user tries to generate an image with the style of a living artist.” Like Miyazaki, for example. Before the flood of images generated with the style of the Japanese cartoonist, a company spokesman has told Business Insider that Openai will prevent “generations with the style of individual individual artists”, but will allow “broader studies styles.” In other words, Hayao Miyazaki no style, Studio Ghibli style yes. Which has its ironic point, because in the year 2016after seeing a demo of an animation generated by AI, the teacher Miyazaki said “I would never want to incorporate this technology into my work. I firmly believe that it is an insult to life itself.” My neighbor Totoro | Image: Studio Ghibli The style. It should be noted that no one can prevent someone from doing works with the style of Miyazaki or Studio Ghibli. The style is not protected per se. Another story, and is where the quid of the matter is, is to use protected works to train an AI capable of replicating that style. That is the real problem. We could understand it as the fan art: You can make an illustration of Pikachu, print it and put it in your room, no problem. What you can’t do is sell that illustration. OpenAi’s headache. This access and use of copyright content for commercial purposes has earned Openai some other complaintbeing the most important that of New York Times. Getty also denounced Stable Diffusion for having used their images to train models, Anthropic was denounced By a group of authors for having used their books to train Claude and a goal, apparently, downloaded 81.7 TB of books With copyright to train your models. The conclusion is clear and we have addressed it on occasion: The price to be paid for having artificial intelligence is the looting of all the contents on the Internet, beyond that AI companies They support and hide in the Fair Use. With generative artificial intelligence it seems to have assumed that if it is on the Internet it is free, and the reality is that it is not always. All large AI companies have ignored Copyright laws And, for the moment, there is no consequences. The debate, however, is far from finishing and probably this is not the last time it is put on the table. Cover image | @MDURBAR In Xataka | The generative AI has a huge problem with the content without a license to train. Adobe is trying to solve it

No one has advanced NASA in the exploration of other planets from the USSR. China plans to do it even in Neptune

by

While NASA applies Efficiency Department cuts Directed by Elon Musk, China has presented the most ambitious space exploration program in its history. A SCIENTIFIC MISSIONS directed by him newly created Deep space exploration laboratory that would not only advance to the US in several milestones: no one would arrive in the Solar System. Kamo’oalewa (2025). With the launch of the Tianwen-2 probe, scheduled for May of this year, China aspires to become the third country to collect samples of an asteroid near the Earth. Japan had only done (twice) and the United States (after the recent Osiris-Rex mission). 469219 KAMO’OALEWA is a “miniluna”a terrestrial quasisisatelite between 40 and 90 meters in diameter that China aspires to “touch” with Tianwen-2, a mission that will also study the Elst-Pizarro comet-asteroid and that will serve as a learning for the future mission of recovery of Mars samples. Mars (2028). Tianwen-3 is the mission for bruise that could mark the Sorpasso Symbolic of the Chinese Space Agency to NASA, since the American mission of return of Martian samples (in which the European Space Agency also participates) is found right now in pause. Tianwen-3 is simpler than Mars Sample Return. If what NASA wants is to go find the rocks that have Carefully selected the Rover PerseveranceChina forms to reach the red planet, pierce the ground, collect at least 500 grams of samples and take off with a small rocket so that a return probe brings them to the earth. 2015 XF261 (2028). The same year that China plans to launch Tianwen-3, it would also launch its First major planetary defense mission. Two Chinese probes will follow the steps of the missions NASA Dart and Hera of that. One will impact the near Asteroid 2015 XF261 and the other will observe the impact to confirm that humanity has diverted a second asteroid. Callisto and Uranus (2029). The Tianwen-4 mission, whose launch is scheduled for 2029, has a double objective. It would arrive in Jupiter in 2035. A first orbiting probe Callisto, one of the moons of the gaseous giant, at the same time as JUICE DE LA ESA Orbit Ganímedes, another of its moons. A second probe, equipped with thermoelectric radioisotope generators, would take advantage of Jupiter’s gravitational assistance to get to Uranus in 2045. It would be one of the first scientific missions to Uranus, which He received the visit of the Voyager 2 probe In 1986. Venus (2033). Another sampling recovery mission, but this time atmospheric. A Chinese probe would travel to neighbor Venus and take its “air” to analyze whether it has microorganisms or possible biological traces, such as Some recent studies suggest. Neptune (2033). A freshly proposed mission to the last planet of the solar system would orbit the ice cream giant and display an atmospheric probe equipped with a balloon, in addition to performing flycards from its Triton moon. With a useful life of up to 20 years to the thermoelectric generators of radioisotopes, it would be the first probe sent exclusively to Neptune. For its launch, the future CZ-9 rocket, the “Chinese starship” would be used. Mars (2038). In addition to a manned station on the moon, China plans to display an autonomous robotic station on Mars to investigate techniques for the use of Martian resources that could serve for future manned missions. China plans to step on Mars in the 2040s. Triton (2039). The second Chinese mission to Neptune and his Triton moon is the most ambitious of the program because he would use a nuclear fission reactor to feed the ship’s electrical thrusters. All that energy would not only allow you to orbit Neptune, but also penetrate the ice from the Triton surface to explore the hypothetical ocean that is hidden below in search of life. Image | Xinhua In Xataka | NASA has cut 420 million dollars following Doge’s guidelines. It is Elon Musk’s favorite number

The US robots manufacturers have asked their government for help. If you do not get China, you will win this race

by

Tesla, Boston Dynamics, Agility Robotics and other US companies that are dedicated to the design and manufacture of robots are concerned about the competitiveness of Chinese robotics companies. So much, in fact, that According to SCMP several members of its directives They have gathered just a few hours ago With legislators in Washington, DC for teach them their products and ask them to define a national strategy that seeks to reinforce US robotics companies. For Chinese administration, smart robots are a national priority. In fact, this industry is closely linked to two other strategic sectors: the production of avant -garde semiconductors and the artificial intelligence (AI). In 2015 President Xi Jinping announced The “Made in China 2025” planan initiative that pursued to take the country to a world leadership position in thirteen strategic technologies. One of them are smart robots, and, although China does not yet lead, its competitiveness in this sector is growing. The US robotics companies ask for the creation of a federal office “Automation and robotics are going through a revolution that will allow the total automation of all strategic and manufacturing industries … “I think the US has a great opportunity to win. We are leaders in AI and we are building some of the best robots in the world.” This text is signed by Dylan Patel, Reyk Knuhttsen, Niko Ciminelli, Jeremie Eliahou Ontiveros, Joe Ryu and Robert Ghilduta, six experts from SEMIANALYSISan American consultant specialized in the analysis of semiconductor industries and AI. His forecast clarifies very well the context in which the meeting that I have mentioned a few lines above between US companies dedicated to robotics and US legislators has occurred a few hours ago. Jeff Cardenas, co -founder and general director of the emerging company specialized in the manufacture of Apptronik humanoid robots, has pointed out What is at stake. “The next race in the field of robotics will be promoted by AI and will be a competition open to anyone (…) I think that the US has a great opportunity to win. We are leaders in AI and we are building some of the best robots in the world, but We need a national strategy If we want to continue moving forward and staying at the forefront “, He has pointed Cardenas. According to American businessmen, a national strategy would help robotics to climb production and promote the adoption of robots as the physical manifestation of AI. We will see if this initiative finally thrives. Image | Ubtech Robotics More information | SCMP In Xataka | Chinese scientists claim to have created something groundbreaking: the fastest and most efficient transistor that exists

To US controls are now joined by the Beijing himself, and point to his star chip

by

Nvidia has been dealing with the export controls that restrict the sending of their most advanced chips to China. But now, the company directed by Jensen Huang faces a double pressure: while trying to dodge Washington’s measures, it must also face new barriers imposed by Beijing, which threaten to further reduce their margin of maneuver in one of its key markets. A growing threat. As we said, the challenges for Nvidia are not new. In 2022, Joe Biden administration prohibited export of his chips A100 and H100specifically designed for artificial intelligence tasks. The company then warned that the measure could be up to 400 million dollars in sales losses in China. The answer soon: he decided to move. Thus, Nvidia designed a product designed exclusively to keep present in the Chinese market. To achieve this, he had no choice but to reduce the capacities of his chips and adapt them to regulatory demands. From there the A800 and H800 were born, cut versions of their star models. For a time they managed to be marketed in China, but a second round of controls ended up leaving them out of play. The H20 also wobbles. Once again, the team led by Jensen Huang got down to work to develop a chip adapted to the Chinese market. The result was the H20a cut version in front of its equivalents in the West, but raised as its great bet for China. Sales forecasts in 2024 exceeded one million units. However, obstacles have not taken long to appear. Now the pressures come from Beijing. Last year, the Chinese government began to recommend to local businesses to acquire NVIDIA GPUS. In full global career for artificial intelligence, the measure seemed contradictory. But the context explains it: just then, several Chinese manufacturers were finalizing their own alternatives to reinforce the country’s computation capacity without depending on foreign technology. Huawei has not stayed with crossed hands. The company has opted strong with products such as the Ascend 910C, a chip that, as points out Tom’s hardwarereaches inference to inference about 60% of the NVIDIA H100 yield. In addition, it is optimized for large language models and has already begun to be adopted by Chinese giants such as Baidu or Bytedance. Huawei also has other variants, such as the Ascend 910b. But there is more. In the middle of last year, The Chinese government presented an action plan to boost the “ecological development of data centers.” The objective was clear: to improve its energy efficiency. To measure the advances, the authorities chose a metric known as Pue (Power Usage Effectiveness)which relates the total energy consumption of the center – including air conditioning, lighting and other auxiliary systems – with the energy used exclusively by IT equipment, such as servers, networks or GPU. The objective of the plan was to reduce the can of the data centers below 1.5 by 2025. It should be remembered that the more the Pue can the value 1, the more efficient the data center is. One of the keys to achieve this goes to use more efficient graphics cards, which generate less heat and, therefore, reduce the energy consumption of the cooling system. The problem, As the Financial Times points outis that H20 chips do not finish fit in this equation. According to the aforementioned newspaper, the National Development and Reform Commission is urging local companies to use only chips that meet demanding energy efficiency standards, both in new data centers and in extending of the existing ones. In practice, this translates into increasing pressure on Chinese technology to reduce – or directly abandon – their GPUS dependency manufactured in the United States. For now, the regulations do not apply strictly, but everything indicates that that could change. In the horizon a possible hardening of control appears: inspections in situ, economic sanctions and harder requirements. If that scenario materializes, Nvidia could be seen before an even greater blow in which, until now, it is its second most relevant market: China represents 13% of its global sales, with more than 17,000 million dollars in annual income. Images | ABODI VESAKARAN | Nvidia In Xataka | The US suspects that Nvidia chips are arriving in China through a third surprising country: Malaysia

After the emergence of Deepseek, the “seven magnificent” of the Tech industry have collapsed in the stock market. All except Apple

by

The year began well for Nvidia. On January 29, 2025 its capitalization I reached The 3.49 billion dollars and everything seemed to go on wheels. The Surprise arrival of Deepseek R1 It changed things a lot and joined other factors to cause spectacular collapse. Two months later, this Nvidia market capitalization is 2.77 billion dollars: it is almost 21% less. That effect has been contagious, but one of the greats is falling the storm. Apple. As they point out In five daysthat January 25, 2025 Apple had a capitalization of 3.55 billion dollars, and at this time that value is 3.35 billion, 5.6% fall. Sensitive, of course, but much less than that of its rivals of the group of “The Magnificent Seven”. That they have stayed in … Not so magnificent. Next to the fall of Nvidia are those of Microsoft, Alphabet, Amazon, Meta and Tesla – as we say, is saved a little. If we analyze the evolution of market capitalization of the seven the performance of these two last months, the “average” drop is 13.5%. They have lost more than two billion dollars compared to 15.58 billion dollars in late January, a real collapse. It’s not just care. The impact of Deepseek has not been the only factor that has contributed to those falls. They have had a lot to do The recent tariffs That is imposing Trump to imports of all kinds of products – foreign cars They are the last victims-. These taxes and Trump’s protectionist policy are forcing many companies to restructure their strategy, and investors – and consumers – are clear what the impact of all this will be: price increases everywhere. Why does Apple endure? Of the great technology, Apple is the only one that has managed to mitigate the losses relatively. Probably partly because of his “warm” attitude to AI. Your interest in data centers fever It is practically nulland despite the Recent criticism It is clear that it is not “burning money” as other companies in the sector do. The rest of the group has invested true fortunes In this segment, although some They are stopping. Bubble in sight? These days are 25 years of the bubble of the Puntocom, and what is happening with the great technology and the AI ​​segment does fear for an AI bubble. There are certainly similarities between both situations, but also important differences. Apple, especially solid. Cupertino’s company is usually More immune that their rivals to these fluctuations in the world of finance. In the face of complaints about the relative lack of innovation or New disruptionsApple has managed to diversify income – especially with the expansion of its services – and continues to maintain confidence of both investors and users. Image | Zhang Kaiyv In Xataka | Deepseek R1 is not just another AI model: it is the greatest existential threat that Silicon Valley has faced

The key is schedule flexibility

by

Topics like The return to the officethe Reduction of the working day wave four -day work week They are on the debate table today. However, all these proposals are nothing more than different interpretations of a much deeper debate: that of the Flexibility of schedules For workers. The hourly flexibility: the holy grail of the modern employee. Teleworking and hybrid models are not just passing trends, they are The silent cry of employees who yearn for greater time flexibility. The International Labor Organization (ILO) He pointed outthat flexible schedules not only benefit employees by improving the balance between professional and personal life, but also contribute to increasing the Business productivity. The ‘Annual Labor Market Guide 2025‘From the consultant Hays, reveals that accessing a flexible work schedule is the second reason (with 24%) for which employees would consider face -to -face job, being obtained a higher salary the first reason (52%). The four -day week: Is it a solution? Although the four -day week is an excellent proposal for many other issues related to the template well -beingthe optimization of Processes in companies and the dynamization of local economydoes not give a complete response to time flexibility. While it is true that the four -day work week model implies a time reduction that leaves a greater margin of labor conciliation, continues to be a problem for caregivers (with children or relatives in charge). In this case, being flexible is not working one day less, but employees may vary the schedule to their convenience, provided that the number of hours worked or the agreed responsibilities are met. Mathilde Collin, CEO of the communication platform with the Front client, warnedIn a Fastcompany article that “simply shorten the number of days we work will not solve our problem. In fact, it could increase stress and exhaustion by compressing more meetings in less days, leaving less time for creative and reflective work.” Therefore, although the idea of ​​a shorter work week is attractive, it does not approach 100% the conciliation and flexibility needs that many employees value. The key to successful conciliation. Teleworking and other flexible work agreements, such as working for objectives or having flexible schedules, are effective not only because they offer the comfort of working From anywhere and They save transport costsbut because they allow the workday to be paused for Attend personal commitments or relatives without being subject to a schedule from nine to five. That is the true value of teleworking or the hybrid day, and the reason why they renounce their jobs. Not only do they give up having to go to an officebut for losing the control over schedule of his day. Return to the Flexible Office. The return to the office of some companies has generated tensions where there were not before, because this change implies a fixed assistance schedule. As revealed by Hays’ work trends report, these tensions would lower their intensity if companies include hourly flexibility in their return to the office policies. According to him ‘Report on work flexibility trends of 2024’ Prepared by Techsmith software developer, 75% of the companies participating in the study had not included labor flexibility options in their return policies to the offices. In fact, according to Data a study From the consultant McKinsey, 38 % of mothers with young children states that, without job flexibility measures, they would be forced to reduce their workday or abandon their companies. In Xataka | The four -day week is unfeasible for many companies. An alternative: work less hours, no less days Image | Unspash (Eduardo Alexandre, MD Arif Jawed)

The company has already begun to limit access

by

In the last hours, social networks They have been filled with images generated by artificial intelligence with visual styles as recognizable as spectacular. There are reinterpretations of historical scenes in the style Ghiblivacations that look like Lego sets or portraits turned into characters from the Muppets. There are also versions in Pixel Art. Everything with a surprising level of detail. Behind this fever is chatgpt. The last function of the popular OpenAi chatbot allows you to generate images in seconds simply indicating a visual style. You can start from scratch or use a photo as a reference, and the result seems taken from an animated film. So much magic has a cost. Demand has grown so much that Openai servers are noticing the pressure. “It is very fun to see people love the images in Chatgptbut our GPU are melting ”, Sam Altman saidCEO of OpenAi. Openai responds with temporary limitations. To avoid greater overload, the company has begun to impose limits of use. The system could take longer to generate images or directly reject them, even if they would be allowed under normal conditions. Only for payment users (for now). At the moment, this function is reserved for those who have a payment subscription, such as Chatgpt plus either Chatgpt Pro. Free users can generate up to three images a day, although this option is not yet available. Controlling demand is key. It is not just a matter of AI. Any cloud -based system can be affected by massive use. And if it is not regulated in time, performance falls or even serious failures can become the following problem to be solved. An infrastructure challenge. For years, Openai depended exclusively on Microsoft as a cloud service provider. However, in recent months it has begun to diversify its infrastructure, incorporating other partners like Oracle. Even so, resources remain limited. This scarcity not only slows down the development of new functions, but also affects the availability of existing ones when a peak of use occurs, as is the case now with the generation of images. A company still far from being profitable. This situation comes at a delicate time for OpenAi. According to The Informationthe company continues to generate great losses: it currently loses billions of dollars a year, and its own projections estimate that this figure could triple until reaching 14,000 million dollars in 2026. Images | Xataka with chatgpt | @MDURBAR In Xataka | Millions of people are interested again in Chatgpt. The problem is that he has achieved it by violating copyright

There is a relationship between eating fruit, drinking coffee and the risk of tinnitus. But we still don’t understand where it comes from

by

The human body is a very complex machine in which millions of interactions are produced, some intuitive and direct, others that are neither one nor the other. This sometimes implies that we find correlated phenomena after which there could be causal relationships that we are not yet able to understand. An example of this in a curious connection that unites our digestive and auditory system. A new study. A Chinese researchers team He has studied The relationship between certain foods and the risk of suffering tinnitus. The team found that greater consumption of fruits, fiber, dairy and caffeine were linked to a lower risk of suffering from this annoying disorder. The ears. Tinnitus It is nothing but a technical term with which we refer to the sensation of buzzing or beep we perceive in the ear. A noise that only exists in our head and that can be presented in a diversity a wide range of shapes, each with different characteristics, some of them very annoying and difficult to treat. These forms They have diverse originssuch as age loss related to age, possible ear injuries, or circulatory system disorders. It can manifest intermittently or permanently, and it can also be intense enough to interfere with our audition or limit our ability to concentrate. Meta -analysis The notion that there is a link between some foods and the risk of suffering tinnitus It is not new. Various studies can be found that have previously investigated in the field but drawing conclusions from this literature is not easy. That is why the team responsible for the new work carried out a study of this scientific literature, a review of literature, from which it carried out a quantitative analysis of the results identified in this, that is, a meta -analysis. The team compiled and analyzed the results of eight studies which accumulated a total of 300,000 participants. They analyzed the effects of 15 dietary factors on the risk of appearance of this auditory disorder. Different foods, different impacts. The study estimated from these eight previous works that greater fruit consumption could be linked to a 35% reduction in reducing the risk of tinnitus. The reduction associated with greater dairy consumption was 17% and that of the caffeine of 10%. They also observed a 9% reduction in the probability associated with the highest food fiber consumption. The details of the study were published In an article In the magazine BMJ Open. Prevent yes, cure right? The results are striking, but the interpretation is complex. The reason is that We have no clue on the hypothetical cause and effect connections that could be behind this relationship. That is, we can observe correlation but we cannot infer causality. Another track on this connection is found in another review of the literature made a few years ago. Posted in 2020 In the magazine International Archives of athinolaryngologythe work also observed a link between caffeine and tinnitus but warned that it only occurred preventively: that is, it observed that caffeine consumption was linked to a lower risk of suffering from tinnitus but a greater consumption of the substance did not serve to improve the state of those who already suffered the problem. In Xataka | Beyond tobacco: we have just discovered that food can also affect the risk of developing lung cancer Image | Snapbythree My / Kaboomps.com

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.