tasks

Five daily tasks where the differences between a high-end processor and a more humble one are very noticeable

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It is very common to hear phrases like “to surf the Internet and watch four videos, any 200 euro cell phone will do.” It is partly true, but there is a difference between choosing a high end processor (as Snapdragon 8 Elite Gen 5 or an Apple A19 Pro) and a low-mid range one (like a Dimension 7000 or a Snapdragon 4 or 6). Apple iPhone 17 Pro 256GB with A19 Pro chip The price could vary. We earn commission from these links The differences are not only measured in seconds, but in the quality of experience. It is true that it is not that the humblest processor cannot do the tasks; It’s how he makes them. Do you want to discover five everyday situations in which the difference between having one processor or another can be abysmal? I show them to you below. Real multitasking and app refreshes Have you ever been writing an email, gone out for a second to copy some information from WhatsAppand when you return the email has been closed and you have to load it again? This is what is known as the multitasking management. In the high range: The processor manages RAM and duty cycles so you can jump between 10 open apps and they’re all right where you left them. In practice, switching between apps feels immediate and seamless. In the mid-low range: The system “kills” apps in the background to save resources. It’s a small one-second lag every time you change apps and it can end up being a frustration on a day-to-day basis. Low battery consumption 5G or WiFi 6 At the high end, the SoC is extremely fast and does the task in an instant and returns to sleep immediately. Furthermore, their 5G modems are much more modern and efficient, which makes they heat up less when you use data outdoors. In a more humble range mobile, the processor has to work harder and for longer to do the same. That usually translates into more heat and a higher battery consumption. Keyboard and system accuracy and speed Although it may seem silly to you, the keyboard is one of the mobile elements that we use the most on a daily basis. High-end processors have a minimum touch response latency. This means that the letters appear on the screen at the exact moment your fingers touch the glass. Plus, AI text prediction is instant and learns from you in real time without slowing down the system. On mobile phones with lower-end processors, there is a very slight delay (which is known as input lag). On some slow phones, when typing very quickly, there may be small pauses or jumps in the keyboard response. Although it is a difference of milliseconds, your brain notices it and it becomes more tiring to your eyes and mind. Photo processing Nowadays, it could be said that in mobile cameras, the software weighs a lot, but the optics, the sensor and the processing continue to be decisive. If you take a photo in night mode or a portrait with blurthe mobile processor is what makes the difference in results. On phones with high-end SoC, when you take the photo, you can instantly see it processed in the gallery, with the HDR applied and noise removed. On the other hand, on a mobile phone with a more humble SoC, you will see a charging or “processing” icon for a couple of seconds. Furthermore, in these phones, the processing is usually less sophisticated and the result may show more noise or less detail in shadows, since the chip does not have the power to “understand” the image as quickly. Using generative AI and video editing We are in 2026 and the AI It is already in almost (if not all) places: from deleting objects from a photo to summarizing an audio or translating a live call. In many high-end mobile phones, these tasks can run locally with the help of the NPU (Neural Processing Unit) because not all AI functions are always processed locally. In some mobile phones with a less powerful chip, certain functions are supported in the cloud. This translates to if you don’t have good coveragethe function will not work or will be desperately slow. With all this, you are surely wondering if Whether or not it is worth the investment in a mobile phone with a powerful processor and high-end. If you are looking for a device that will last you three or four years, the high-end SoC ensures that the smartphone does not become slow with software updates. Keep in mind that the power of a mobile phone is not just for playing; It’s that kind of gear that makes technology invisible and that the device simply responds to your wishes without you having to wait for it. Some mobile phones with high-end processors XIAOMI 17 Ultra – 16+512GB Smartphone, Snapdragon 8 Elite Gen 5 The price could vary. We earn commission from these links Apple iPhone 17 Pro 256GB with A19 Pro chip The price could vary. We earn commission from these links Mobile phones with more humble processors that may interest you realme 16 Pro 5G Smartphone, 8GB+256GB The price could vary. We earn commission from these links XIAOMI REDMI 15 – 8+256GB Smartphone, Snapdragon 685 The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Yúbal Fernández (Xataka), Ricardo Aguilar (Xataka), Álex Alcolea (Xataka) and Xiaomi In Xataka | The best mobile phones, we have tested them and here are their analyzes In Xataka | Best wireless headphones. Which one to buy and 21 models from 15 euros to 470 euros

“It is very important to mentally label tasks”

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The first day of vacation arrives, the laptop is closed and work-related cell phone notifications are silenced. But the head is still going a mile an hour without being able to take focus off of workmentally reviewing emails that have not been sent and feeling a need to find out what is happening at work. All this leads to an inability to relax on vacation, and the explanation for this is not a lack of will, but a neurological block. Because? Science has a name for what’s happening to you: information overload syndrome. And what happens in your brain before you go on vacation is the result of a neural system that has been pushed to its limits by the “infoxication“. To understand why we cannot turn off the brain at will, we must look at our metabolic energy consumption, since as detailed in a exhaustive literature review published, attention is a limited cognitive function that requires a constant flow of energy in the brain. What happens. When we are exposed to a volume of information that exceeds our processing capacity, our brain enters a phase of overactivation. Under conditions of moderate overload, the prefrontal cortex, which is the area responsible for complex decision-making and planning, becomes hyperactive to try to manage the chaos. However, if digital multitasking and the deluge of data continue, a phenomenon known as ‘neural overload’ occurs. The result. The prefrontal cortex is deactivated as a protective mechanism, and what causes constant digital multitasking causes an accumulation of glutamate in this frontal region, which physically translates into that heavy “cognitive fatigue” that we drag to the beach. But the impact does not stop at simple fatigue. Neurobiological studies have documented that this overexposure alters dopamine pathways in a way similar to that of addictive substances, reducing gray matter in areas of impulsive control and disconnecting regions of the Default Neural Network, which is precisely the brain network that allows us to daydream, wander and, ultimately, rest. The digital epidemic. Although we are now talking about social networks and artificial intelligence, the problem has been brewing for decades. Already in 1996, psychologist David Lewis proposed the term “information fatigue syndrome” in a study for Reuters, and shortly after, in 1999the specialist Alfons Cornellá coined the term infoxication to describe the information contamination to which we were beginning to be subjected. Today the different sources paint a much harsher picture, since in 2024 a study demonstrated that information overload directly leads to fatigue, culminating in emotional stress and anxiety. Added to this is a 2025 meta-analysis that warns of how current digital environments saturate our working memory, diminishing our understanding and leading us to burnout. before vacation It is when this whole neurological cocktail that we have been building explodes. Here the expert Elena Gallardo, neuroscientist, he pointed out in statements to EFE which defines this state as “mental noise.” And the fact is that, before a period of rest, the brain perceives that it must leave everything tied up and closed, which generates a peak of cognitive demand in a system that is already saturated by the year’s chronic infoxication. You have to stop. If the origin is biological and behavioral, the solution must be too. To avoid carrying “mental noise” in our suitcase, neuroscience experts propose applying what they call cognitive ergonomics, which is nothing more than strategies designed to optimize and protect our mental effort. Among the tips that this expert offers is the possibility of labeling and verbalizing tasks to prevent pending tasks from “floating” in our brain. In this way we free up the prefrontal cortex so that, when it comes to vacation, it is not so exhausted and can better process the entire avalanche of data. Images | Image from freepik In Xataka | How many vacations do I have by law: this is how the days of rest are calculated

“Meditation is related to increased performance on cognitive tasks”

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Breathing is such an instinctive act that we rarely pay attention to it, since, although we do it about 20,000 times a day, we are in a strict physiological “autopilot” of which we are almost unaware. However, in recent years, neuroscience has begun to unravel the mechanisms behind a practice that has been with us for millennia, such as conscious breathing. to relax There are many techniques that are advertised on social networks, such as mindfulness or breathing control. But here are several questions we can ask ourselves: do these techniques really work? And why do they work? This is where science comes in, which has managed to map how the simple act of altering our breathing rhythm is capable of modulating attention, memory and the activity of our brain networks. The neurological basis of this phenomenon is strongly supported by the work of researchers such as Jack L. Feldman, who has dedicated his career to studying respiratory control and its deep link with emotions and cognition. But now we go one step further to understand that breathing control techniques are a way of communicating with the nervous system. The panic button. To understand why paying attention to how air enters and leaves our lungs has such a massive impact, you have to look at the brain stem. Here is a study published in Science in 2017 identified a small but critical group of neurons in the pre-Bötzinger complexthe true “pacemaker” of our respiratory rhythm. With just 175 neuronstheir projections made connections with the areas of the brain responsible for attention, alertness and panic. This is why slow, controlled breathing drastically reduces the activation of this center, and therefore acts as a way to put a biological brake on the brain’s alarm signals. Beyond relaxation. Although it is what they sell us most on a daily basis, the reality is that when we move to conscious breathing, focused attention is also improved, for example. This is what neuroimaging studies show that the brain ‘lights up’ in very specific areas when it is in a state of mindfulness. Specifically, areas related to emotional management, body awareness and focused moment-to-moment attention are activated. In fact, a study published in Scientific Reports in 2018 demonstrated that eight weeks of meditation based on attention to breathing not only improves performance in visual selective attention and working memory, but also optimizes the efficiency of brain networks. The new thing we know. The latest data is consolidating the idea that breathing is the main modulator between our body and our mind. Different research points to how interneuronal connections translate into tangible improvements in emotional control. For example, a work published in Frontiers in Human Neuroscience concludes that slow breathing significantly reduces anxiety, improving medial frontal alpha asymmetry in electroencephalograms, which is a known biomarker of control over our emotions. It’s not magic. This is a very important nuance that we have to make here, since although studies agree that these mindfulness techniques are formidable for reducing chronic stress, anxiety and depression, they are not a miracle. What science here is not that we are facing a magical transformation, but rather a neurobiological training. Learning to breathe consciously is, in essence, learning to use a physical interface that evolution has given us to optimize the efficiency of our neural networks, improve our emotional regulation and maintain focus in an increasingly dispersed world. Images | Benjamin Child In Xataka | The best 18 meditation, relaxation and mindfulness applications to have better mental health

If you are very good at your job and your boss sends you more tasks than the rest, share this article

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Being the most committed employee in the office has a serious health risk: the more someone enjoys their job, the more trouble they end up making. things that don’t belongwhich are not going to add to your career and which, over time, can end up burning him. At least that’s what he claims an investigation from Cornell University and Northeastern University in which 4,300 employees from different sectors have participated. As and as he declared Sangah Bae, one of its main researchers, Northeastern Global News, This study was born from his own experience as a junior analyst in Chicago: the more involved he became, the more extra work fell on him. Years later, data confirm that this pattern was no coincidence. It’s not a coincidence: it’s a pattern. The researchers found that managers tend to assign additional tasks to employees who perceive as more motivated. In a field survey with 834 middle managers, 55% chose the employee they considered most motivated to assign extra tasks, even when the managers had data on variables such as age, experience or work performance, the perception of the employee’s motivation prevailed in their choice. The laboratory experiment was even more revealing since the researchers designed groups of three people in which one played the role of manager and the other two as employees, competing for a financial bonus linked to their performance. In this scenario, 74% of those acting as managers assigned the extra task to the most motivated employee, even though they knew that this hurt their chances of collecting that bonus. As a result, only about 31.37% of the most motivated employees ended up receiving an extra bonus for their performance improvement. Motivational oversimplification. According to the study According to Bae and Woolley, behind this tendency is a specific psychological mechanism that researchers have called “motivational oversimplification.” The manager’s reasoning is based on the fact that, if this employee enjoys his main job, he will probably also enjoy any extra task equally, even if it has nothing to do with what he usually does and is monotonous and routine tasks that they do not contribute anything. The researchers say that managers “can assume that employees who enjoy their main job will also enjoy additional tasks and that this enjoyment will protect them from burnout.” That is, if it is assumed that the employee will enjoy the task, it is assumed that it will not cost him that much to do it. The study data quantifies this perception gap: managers estimated a drop of just 0.2 points in the motivated employee’s job satisfaction when assigned extra work, while affected employees reported a drop of a full point on that same scale. When motivation turns against you. In one of the study tests carried out over a period of six days, managers chose the most motivated employee 69% of the time, which is equivalent to an average of 4.2 out of every 6 extra tasks assigned. This assignment pattern was repeated every day, which suggests that managers generate systematic inequality in the workload within their teams without being aware of it. “When managers have to assign extra work to their employees, they opt for the easiest option: a person they can trust. That employee who is your shortcut, that person you turn to regularly, who seems to be engaged and enjoy their work, could actually be silently suffering burnout,” Bae said. …and the motivation runs out. As revealed the study OSH Pulse 2025 of the European Agency for Safety and Health at Work (EU-OSHA), 44% of EU workers are regularly exposed to task overload. In Spain, this percentage reaches 49%, and one in three European workers (29%) acknowledges having suffered stress, depression or anxiety caused or aggravated directly by their work in the last twelve months. In Spain, the number of employees affected by task overload rises to 40%. As and how they stand out in Harvard Business Reviewthe study by Cornell and Northeastern Universities adds a new variable that these occupational health data do not include: this burden is not distributed randomly among all employees of a company, but rather tends to concentrate precisely on the employees who are most involved.

Microsoft wants Copilot to do more complex tasks. To achieve this, it has turned to Anthropic AI

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For a long time, when we talked about artificial intelligence at Microsoft, there was one name that came up again and again: OpenAI. The relationship between both companies was decisive for the takeoff of ChatGPT and also for the launch of Copilot. But the AI ​​board is moving quickly. New models, new players and increasingly intense competition are pushing large technology companies to diversify their bets. In that context, Microsoft’s latest move is understood. The advertisement. Microsoft has decided to integrate Anthropic technology within Copilot, the assistant that is already part of tools such as Outlook, Teams or Excel within Microsoft 365. Among the new features is coworka tool based on Anthropic technology aimed at facilitating tasks within the work environment. But that’s not all: Claude’s models will also be available within the Copilot chatbot alongside the more advanced OpenAI models, thus expanding the capabilities of the assistant without depending on a single artificial intelligence provider. From asking for something to delegating work. Microsoft explains that Cowork is designed to go a step beyond the classic model of an assistant who answers questions or writes texts. The idea is that Copilot can take care of entire tasks within Microsoft 365. When the user makes a request, the system converts it into a work plan that runs in the background. To do this, it uses data from Outlook, Teams or Excel. From there, in theory, you propose actions, ask for clarification if needed, and allow the user to review or approve each step before the changes are applied. Some examples. Let’s imagine, for example, that we ask Copilot to review our agenda in Outlook. The system could analyze the calendar, detect conflicts between meetings and identify lower priority meetings. From there I would propose different adjustments, such as rescheduling some appointments or reserving blocks of time to focus on more important tasks. Once those suggestions are reviewed and approved, the system itself could apply the changes automatically, accepting, rejecting or rescheduling meetings and reserving blocks of time to focus on other tasks. The strategy. As we noted above, the move also reflects how Microsoft’s AI strategy is changing. The company has maintained a very close relationship with OpenAI for years and continues to be one of its largest shareholders, with a stake close to 27% after investments of around $13 billion since 2019. However, the rise of new models and the rapid evolution of the sector are pushing large technology companies to not depend on a single technology. Incorporating Anthropic tools within Copilot points precisely in that direction: building an ecosystem capable of relying on different models depending on the task. Platforms before models. What we are seeing with decisions like this is that the race for AI is not limited to developing increasingly advanced models. It’s also about deciding where those capabilities are going to live. In the case of Microsoft, the answer seems quite broad: The company has been integrating Copilot into more and more products and services in its ecosystem (and also external ones). For some users, this constant presence can be very useful; For others it can be somewhat invasive. But beyond these perceptions, the movement clearly shows Microsoft’s strategy. On the whole. So this is not just about adding another technology within Copilot, but rather reinforcing the idea that Microsoft wants to turn this assistant into a meeting point for different AI capabilities within its software. Incorporating Anthropic models alongside those of OpenAI points precisely to that scenario. Rather than relying on a single technology, the company appears to be laying the groundwork for a Copilot capable of combining different solutions as the AI ​​market continues to evolve. Images | Microsoft In Xataka | The best and worst of the Internet we know has been built on anonymity. AI brings bad news

The best AI agents that are faster and easier to use to do tasks for you without complications or long installations

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Let’s tell you the best fast and easy AI agents to use, without complicated installations and configurations. This type of AI agent They are less complete and powerful than the more complete and advanced ones, but they allow you to explore how the artificial intelligence can do tasks for you. We are going to make a small list to stick to the best alternatives. Many are quite popular, others are more unknown, and we even ended up with an open source alternative for privacy lovers. Claude Cowork Claude Cowork It is possibly the best and simplest tool to test the benefits of a medicine, but in a controlled way. It is a paid feature that you can use within the desktop application of Claude. The price to use it starts at 15 euros per month. Claude Cowork allows Claude’s AI to manage files and use applications on your computer. You tell him what you want, and Claude will find the best way to do it. Also, if you install the extension Claude in Chrome in your browser, Cowork will also be able to do things for you in the browser. Perplexity Comet Comet is the browser with artificial intelligence Perplexitya platform that started as a search engine based on artificial intelligence, and now it is much more. It is now a chatbot that allows you to use various artificial intelligence models, such as Gemini, GPT or Claude. The Comet browser has the peculiarity that can use AI to do tasks for yousuch as browsing you, interacting with websites, automating tasks, searching and filtering information, managing workflows and other tasks such as comparing prices on multiple pages. Manus on Telegram Manus is an autonomous AI agent, to which you can give a high-level objective and it works on its own to achieve it. Tasks are asynchronous, so you can ask it to do something, turn off the computer, and receive a notification when the work is completed. Manus also has the ability to used in Telegram chats like a bot With this, you will be able to use Manus directly from the messaging app and without entering its official website or application, and then you will be able to access them to see the result of AI research, web development, design, whatever you have asked. ChatGPT Agent ChatGPT also has an agent mode in your application. With it, you will be able to interact directly on web pages, ChatGPT will act on your behalf to book appointments, create presentations and perform other complex tasks. Of course, to use it you will need have a paid subscription in AI. Genspark This platform is a kind of all-in-one AI worksspace. It is not exactly a chatbot but acts in a similar way to the concept of an agent, planning taskschoosing the correct tools to do it, and chaining the steps autonomously. With this tool you will be able to create applications, documents, designs, images, music, spreadsheets and more. It has a free plan with limited access, although you will have to pay to access everything. Also has more than 80 toolsand eight language models of different sizes, each for a task. AgentGPT This was one of the first services to make AI agents accessible from the browser without having to install anything. It works similar to the previous ones, you have to write what you want with natural language, the agent divides this into subtasks, and then executes them autonomously. Kuse Cowork Kuse is an open source alternative to use an agent capable of helping you perform tasks on your computer. It can generate documents and presentations, transform d oc files, PDFs, you can also create mind maps, interact with YouTube videos and more. It is therefore an open alternative to Claude Cowork, where you can decide which AI models to use attaching them with their API, or even installing them directly on your computer. In Xataka Basics | How to create a Telegram bot that sends you a summary made by Gemini of each email you receive in Gmail and other emails

repeating tasks until boredom

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Despite the great achievements that They have been harvesting some humanoid robots In recent years, in terms of the naturalness of their movements and household chores, they are still green enough to be put on sale to the mass public. Firstly because of the price, and secondly because what they say they do, they still do little effectively. teaching. In China they have already realized that, in order for them to be as effective as we hope, we have to teach them how to do things. In this sense, the country has already launched a network of more than 40 public training centers where human workers, equipped with virtual reality headsets and motion sensors, repeat everyday actions hundreds of times a day such as opening a microwave, folding clothes or tightening screws. The objective is none other than to generate the movement data that humanoid robots need to learn to perform these tasks autonomously. National priority. The Chinese government has identified embodied artificial intelligence, which is AI in physical form, as a national priority, which has sparked a wave of investment in robotics. The country is already home to more than 150 companies dedicated to humanoid robots and seeks to position itself as a world power in a sector that Goldman Sachs esteem could reach $38 billion in 2035. Why do they need so much human data. Unlike large language models, which are trained with texts available on the Internet, robots require much more complex data sets: visual information, joint movements, rotations and adaptations to unpredictable environments. And, just as they explain Since Rest of World, this information cannot be easily extracted from the web. Chinese local governments are addressing this shortage with state-funded facilities, typically built by public administrations and operated by robotics companies. How training works. The middle highlights the case of Kim, a 20-year-old computer science student who works as a trainer at a startup in Shanghai. “We call ourselves cyber workers. It’s a decent job, if a little boring,” according to account to the middle. In the country’s largest training center, located in the Shijingshan district of Beijing and developed in collaboration with the Leju company, they work with 1.66 meter high “Kuafu” robots. Just like explains In the middle, each robot is assigned two human trainers who, using motion capture devices, record between 200 daily action sequences. An example: Teaching a robot to place a frying pan on a stove required 1,250 repetitions, according to details People’s Daily Online. The spaces where robots “study”. The most complete installations replicate real-world scenarios on a full scale. These can range from automobile assembly lines and logistics warehouses to domestic kitchens and bedrooms. The Beijing center occupies more than 10,000 square meters and offers 16 specific scenarios, including environments simulating automobile factories, smart homes and nursing homes, as exposes the middle. At another facility in Hubei province, nearly 100 human-controlled humanoid robots practice movements such as ironing or wiping tables hundreds of times a day. “It’s like teaching children to walk with a lot of practice,” counted a spokesperson for the project spoke to the media. It is not the most efficient method. Several robotics researchers still debate whether recording human movements, a laborious and slow process, is really the best way to create fully intelligent robots. Ken Goldberg, a robotics researcher at the University of California at Berkeley, declared to Rest of World that this is “a noble effort and there is a lot of hope right now that this will work, but it is slow. Even if you have hundreds of people working, it will take a long time to get enough data.” Yesovercapacity. China’s National Development and Reform Commission issued a warning in November about the risks of a bubble in the humanoid robotics industry. Marco Wang, analyst at Interact Analysis, account told Rest of World that “there are some potential bubbles” because the model may generate overcapacity. While mass commercial use still seems distant, some of the largest orders come from the public sector, such as the case of the company UBTech Robotics, which sold humanoid robots worth $80 million to three data collection centers in China, according to account the middle. The first “graduated” robots are already working. Robots trained at these centers have acquired more than 20 operational skills, with success rates greater than 95%, according to they count from People’s Daily Online. Some are already deployed, handling materials at factories for state-owned automaker China FAW Group, working as couriers for Shenzhen Capital Group or carrying out inspections at electrical facilities. Images | Shijingshan Robotic Center In Xataka | China is winning the humanoid robot race. The problem is that this race doesn’t really exist.

We are entering an era in which robots with AI are becoming increasingly popular. LG already has its own to help us with household tasks

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LG Electronics has CLOiD officially announcedits first multitasking home robot powered by artificial intelligence, which is being presented to the public for the first time at CES 2026 in Las Vegas. The goal is for this robot to be able to automate a good part of household tasks, going beyond the basic cleaning functions to which current robots are accustomed. Below these lines we tell you all the details. LG’s first robot for domestic work According to LG, CLOiD is capable of performing complex tasks like getting milk from the refrigerator, putting a croissant in the oven for breakfast, and even taking care of the laundry: from starting wash cycles to folding and stacking clothes once they’re dry. The company is demonstrating these capabilities in various domestic scenarios during the technology fair. The robot has two articulated arms with seven degrees of freedom each. The shoulders, elbows and wrists allow forward, backward, rotational and lateral movements, while each hand includes five fingers that move independently to manipulate objects with precision. The torso can be tilted to adjust its height, allowing it to pick up objects from knee height upwards, although not off the ground. An intelligent “head” as a control center The CLOiD top unit functions as a mobile smart home control center. It is equipped with a chip that acts as the robot’s brain, screen, speaker, cameras, various sensors and generative artificial intelligence by voice. These components allow the robot to communicate with people using spoken language and “facial expressions” on its screen, learn users’ living patterns, and control connected home appliances. Integration with LG’s ThinQ and ThinQ ON ecosystem allows CLOiD to work more fully with the South Korean brand’s products, essentially acting as a hands-on smart home hub. Physical AI Technology: VLM and VLA At the core of CLOiD is what LG calls physical AI technology, which combines two models: Vision Language Model (VLM), which converts images and video into structured language-based understanding, and Vision Language Action (VLA), which translates visual and verbal inputs into physical actions. According to the company, these models have been trained with tens of thousands of hours of data on household tasks, allowing the robot to recognize appliances, interpret the user’s intent and execute appropriate actions. The wheeled base uses autonomous driving technology derived from LG’s experience with robot vacuum cleaners and his Q9 model. According to the company, this configuration was chosen for its stability, safety and cost-effectiveness, with a low center of gravity that reduces the risk of overturning if a child or pet comes into contact with it. One more step in LG’s home robotics CLOiD isn’t the only robot capable of folding clothes showing at CES this year. SwitchBot is also showing its Onero H1 with similar capabilities. However, everything indicates that at the moment LG seems to be considering CLOiD more as a concept than as a product that they are going to really sell in the short term. The company says it will continue to develop home robots with practical functions and shapes for household tasks, and expand the application of its robotic technology to conventional home appliances. The ultimate goal, according to Steve Baekpresident of LG’s home appliance solutions division, is to achieve its vision of “Zero Labor Home,” “making housework a thing of the past so customers can spend more time on the things that really matter.” Autonomous robots with generative artificial intelligence are beginning to conquer technology fairs. They are the perfect setting to attract the masses, so it remains to be seen if they end up convincing enough so that in a few years we will see them hogging store shelves. Among other factors, the price will be what decides if the move really pays off. Images | LG In Xataka | The technology industry has been searching for the “next smartphone” for a decade. Now he thinks he found it with AI

AI promised to free senior employees from tedious work. In reality it is loading them with more tasks

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Imagine a young recent graduate in finance, eager to join a large consulting firm. He dreams of learning the trade from below. That inexorably involves preparing reports, researching markets, creating presentations, etc. But along comes AI and suddenly those routine tasks are automated. He produce more and faster, but all that torrent of documents lands on the desk of the person in charge of supervising him, a senior manager who is now passing hours checking errors that have been overlooked. This scenario is what reveals a study prepared by the consulting firm UpSlide and its conclusion leaves an unexpected twist: artificial intelligence not only removes the access ladder for new workers, but also burdens the most veteran workers.​​ AI takes away opportunities for recent graduates. According to the data that they are being collected In different studies on the impact of AI on recent graduates, job offers for entry-level positions have been reduced between 11% and 20% in the last year. The reason: AI now takes over the basic administrative tasks that before these young people did. Furthermore, a elaborate study by researchers from the University of Navarra and IESE Business School, based on data from 138 million workers in the United States, reveals that in companies exposed to generative AI, average salaries fall by 4.5% compared to those not exposed. In the most affected, the salary drop reaches 7.7%, with the initial salaries of juniors decreasing by 6.3%, while those of seniors remain stable or increase slightly.​ Juniors produce more, seniors review more. The UpSlide report indicates that younger employees use the AI ​​tools their companies have implemented to improve their efficiency in distribution (24%) and research (22%) tasks. On the other hand, the use of AI for senior profiles implies an increase in the review and quality control tasks of their work. According to the authors of the study, while juniors have stepped on the accelerator producing more content and documentation with AI, seniors have had no choice but to dedicate more time in their day to review all that new AI generated content. “Rather than reducing workload, AI is displacing: it places more pressure on senior professionals, who must now review, validate and correct a growing volume of AI-generated content. This bottleneck is especially critical in high-value operations, where the margins of error are minimal,” the study’s authors underline. AI overloads seniors. The data indicates that 41% of the seniors participating in the study dedicate more than 11 hours per week to reviews, such as checking errors in the figures of financial presentations or formats. 83% of them recognize greater pressure on seniors for quality reviews, and 82% see more risk of those errors finally reaching the client. “While the technology is very impressive, it just doesn’t beat the professional touch. That’s why we’re making sure to create review checkpoints with humans in the workflow,” said Joshua Stolarz, Managing Director at KPMG in the study.​​ A model that makes the revision more expensive. Yes, as they point out the evidenceAI automates training tasks for junior profiles, concentrating review on seniors, one of the arguments used by the main CEOs of technology companies that the use of AI would allow the most senior profiles to free yourself from administrative tasks to focus on giving value to the products. By leaving them with the burden of reviewing AI-generated content, you actually bury them in more administrative work. If the trend pointed out by the study is consolidated, companies could opt for more veteran profiles in their hiring, which would reverse the dynamics of fire these employees when the cuts come. However, these more experienced profiles also they earn better salariesso many companies could rethink implementing AI if it means increasing your labor costs. In Xataka | Jensen Huang is clear: at this point no one should learn to program, AI will do it for us Image | Unsplash (Omid Ajorlo)

A list of six tasks

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Productivity techniques can Be so complex either so simple as is the human mind. Therefore, there are productivity methods in which it is planned Until the last detail And others, such as the one that Ivy Lee devised almost 100 years ago, whose maximum argument is the efficiency and simplicity. The success of the method created by Ivy Lee is due to three main reasons. First, it forces continue with the tasks until its end, which reduces the tendency to leave pending issues procrastine tasks. Second, force to establish real priorities in tasks, helping to distinguish the urgent of the important. And finally, it limits the number of daily taskswhich facilitates commitment to each of them and avoids overload. This apparent simplicity is, in reality, its greatest strength. It is not enormous planning or dedicate more time to structuring tasks to do them. Just a sheet of paper and a pen. But under this simplicity its true importance underlies: it establishes limits that help not to disperse and avoid the temptation to add more tasks than you can really address in one day. Ivy Lee and Charles M. Schwab’s challenge Ivy Lee was a publicist and American productivity consultant, considered the founder of the current public relations methods. In 1918, Charles M. Schwab, one of the richest men in the world in those years, and president of Bethlehem Steel, asked him for help to improve the productivity of his employees. Schwab wanted his company to be still more efficient and competitive. The agreement between the two was simple: Lee promised to analyze how Schwab employees worked and contribute some improvements to work more efficiently. In return, Lee would not charge anything for his advice at the beginning, and agreed with Schwab that would pay what he would consider just after checking the results. After reaching that agreement with the millionaire, the consultant said: “Give me 15 minutes with each of your executives.” Weeks later, Schwab was so impressed with the increase in productivity of his employees that he delivered a check of $ 25,000 in recognition for the work done. Today, those $ 25,000 would be equivalent to about $ 516,000. What is Ivy Lee’s method Ivy Lee’s method It is very simple to implement. At the end of each working day, each Schwab employee had to write a list with only six tasks that he had to complete the next day. These tasks should be ordered by real priorityso that the most important and urgent occupy the first places, followed by the important and not urgent, to close with only the urgent but not important. The next morning, the person had to concentrate only on the first task of the list and not go to the next until he finished it. Thus, I would make task by task, without distractions or jumps between activities. If any task was left without completing, it automatically passed to the list of the next day, ensuring that none of the assigned tasks would be unsolved. As you can see, the system designed by Lee does not seem much. It is easy to implement, does not require a great organizational effort or use complex tools. However, under this appearance of simplicity there is a wolf with lamb skin that hides different psychological tricks They guarantee their success. The keys to the success of the Ivy Lee Method First of all, Its simplicity makes it very flexible. If any unforeseen argument arises, the first reaction should be to try avoid distracting you From your main objective of finishing your task list. However, if it is something unapolable, it is enough to pause it, and resume it at the same point as soon as possible. The time you have consumed to solve that unforeseen event will simply prevent you from completing the latest tasks of the list, so they simply pass the next day. Actually, six is ​​only an orientative number that can vary depending on the nature of tasks. Such and As James Clear indicatesauthor of the Best-Seller ‘Atomic habits‘, limit the number of daily tasks forces to prioritize and “prune ideas”discarding the accessory and focusing on the essential, in the really important. Having too many options can induce a state of paralysis by choiceso limiting the options forces you to commit to those six chosen and complete them. Another of its advantages is that Eliminates starting friction When facing tasks. Having the list made from the previous dayyou just have to get to work. That Elimination of starting barriers They are an elixir for those who have a tendency to procrastination since they should only sit down and get to work on the task that it plays. Your linear progress strategy Avoid multitaskingone of the main enemies of productivity and inexhaustible source of Mental fatigueallowing a deep approach to A single activity at the same time. That facilitates The concentration and improves the quality of the work done because the attention is not dispersed, reducing the possibility of committing failures. The fact of having the objective of completing tasks, contributes to improving the perception of work done And it is obtained A psychological reward for having succeeded. In Xataka | Ed Sheeran lives without mobile phone. The reason is simple: to disconnect is more and more a privilege of billionaires Image | Pexels (Suzy Hazelwood, energypic.com)

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