MicroLED promises to be the Holy Grail of televisions. That is your big problem today.

There are technologies that are born with enormous promise. He MicroLED is one of them. Since Samsung introduced “The Wall” at CES 2018the sector has been telling us for years that this technology is going to revolutionize the way we watch television. And he is right. The problem is that this revolution has not reached anyone’s living room. who is not a billionaire. The technology has become the Holy Grail of the television industry, but the enormous cost of its manufacture means that only the most exclusive models and, let’s say it without frills, extremely expensive, can integrate this technology. Unlike what has happened with OLED or MiniLED, manufacturers have not managed to reduce production costs of these panels to make them competitive in mass manufacturing. What is MicroLED and why is it so special? To understand MicroLED you have to know how current screens work. Traditional LED TVs have a layer of pixels that filters light coming from an array of LED lights installed on the back. It is, therefore, a backlighting technology that offers very good brightness power. The problem is that when those screens need to display pure black, the screen can’t turn off pixel by pixel, so it turns off areas of those rear LEDs. The more dimming zones you have, the better the light control and the more control over the blacks you have. Even so, it is inevitable that some light will sneak in. It’s not really black. The result is very dark grays at best. The technology OLED solved that problem years ago, making each pixel on the screen emit its own light that can be turned off individually. Here, the result is a perfect contrast, but it has its own limits. The LED diodes that make up each pixel are organic, so they degrade over time and are susceptible to burn-in, leaving a permanent mark on the screen after many hours with a static image on the screen. In this sense, the promise of MicroLED technology is to provide the perfect balance between OLED and LED, but without any of their drawbacks. Like OLED, it uses microscopic LEDs as a pixel, but made with inorganic materials that are much more stable and resistant to burning. In this way, the screens MicroLEDs are capable of reaching OLED contrast levelsbut with a much higher shine and with a useful life that is measured in decades. It is literally the best of all worlds. And there is also its trap. The problem: manufacturing the MicroLED is a nightmare A 4K display has about 8.3 million pixels. In the latest MicroLED panels, each of those pixels needs three individual LEDs, leaving us with almost 25 million microscopic chips that must be manufactured, placed and connected with nanometric precision on a panel the size of a television screen. This level of miniaturization required by MicroLED has limited its production to large-inch formats before the challenge it poses fit so many millions of diodes into a 55″ or 65″ panel. The process of mass transfer of these chips, what the industry calls mass transferis extraordinarily complex, and today, also extraordinarily expensive. How much expensive? To put it in context, one of the few MicroLED models that can be purchased in stores is a 89 inch Samsung and has a sale price of 109,000 euros. He LG Magnitaimed at the extreme luxury market, was around 230,000 euros in sizes of 118 and 136 inches. That price range makes them unviable as home televisions (at least for most mortals’ homes). Hence its market figures are very small at present. In all of 2024, they were manufactured less than 1,000 units of MicroLED televisions in the entire world. Samsung sells that many conventional televisions in a matter of minutes. However, although these panels do not reach the living rooms, it does not mean that the MicroLED is stagnant. In fact, it is in development. This technology is growing strongly in those niches where price matters less than performance. In large format signage it has been the standard for years. film and television studio fundslobbies of luxury buildings or private movie theaters. In automotive, the dashboards of the future want bright, durable and efficient screens. And in the wearables segment and augmented reality, both Apple and Samsung have been investing for some time in bringing MicroLED to smart watches and AR glasses, where extreme pixel density is critical and having smaller production volumes makes the cost more manageable. As indicated in an analysis According to Yole Group, the global MicroLED market could grow to nearly $5 billion in revenue by 2032, although most of that will come from those niche segments, not the living room TV. There are MicroLED and “MicroLED” The high production cost made manufacturers explore other ways to make this technology profitable and evolve. One of the solutions was to use as backlight system behind an LCD panel, rather than as self-emissive pixels. Strictly speaking, although the latter have MicroLED technology, they should not be considered as such. However, some brands use it interchangeably in their trade names for advertising purposes. By having a smaller scale, MicroLEDs allow much better control of light and enhancing the colors, but they still require an LCD panel that separates the colors of each subpixel. That is, it would act more like a MiniLED or a conventional LED than an OLED. The good news is that, as brands showed like Hisense and Samsung have already evolved MicroLED technology with white diodes, towards the RGB MicroLEDwhich already has a self-emissive RGB diode for each pixel that, now, would be closer to the operation of an OLED. This evolution, as before MicroLEDs they made other technologiesrepresents the first sign that these panels are beginning a path of optimization to reduce production costs. In fact, the models launched by Samsung during the last CES 2026 It would be around $30,000.. It seems like an exorbitant figure for a television, but it must be taken into … Read more

Xpeng’s new SUV promises 1,704 km without refueling

Among the new energy vehicles we have hybrid, plug-in hybrid and pure electric models. However, the borders between these modalities have been blurring according to the needs and the evolution of new technologies. For some time now we have had a category that also has its own benefits: extended range vehicles (EREV). China is one of the main countries that promotes this type of vehicles, and among its main manufacturers, Xpeng Motors has shown how far this technology can go. The company has launched a hybrid version of its G7 SUV that reaches 1,704 kilometers of combined autonomy, establishing a new world record for vehicles of this category, as announced by the Chinese company in its presentation held in Guangzhou. The figure is approximately equivalent to traveling the distance between Madrid and Milan without refueling or recharging. The key to the record. The G7 combines a 55.8 kWh battery with a 1.5-liter combustion engine that acts exclusively as a generator. The manufacturer assures This extended autonomy system allows you to travel up to 430 kilometers in completely electric mode, while the 60-liter gasoline tank provides additional energy to the set. The result is a total range of 1,704 kilometers under the Chinese CLTC homologation cycle, surpassing any SUV on the current market. Technology. Xpeng abandons what until now was a purely electric approach to offer intermediate solutions that respond to the problem of charging infrastructure, as it remains uneven in many markets. The company calls this move “dual powertrain strategy”, which now also applies to the P7+ sedan, presented simultaneously with 1,550 kilometers of combined range. According to declared Xpeng President and CEO He Xiaopeng during the event, the P7+ offers “the longest pure electric range in its class”, with 430 kilometers on battery alone. Advanced equipment. The updated G7 features 800V voltage system with 5C ultra-fast charging, 15.6-inch touch screen, 2.17 square meter panoramic roof and 20-speaker sound system with 7.1.4 surround technology. It also includes seats with electrical adjustment, ventilation, heating and massage. In autonomous driving, the model includes two chips as standard Nvidia Drive Orin with 508 TOPS of computing power, although it can be optionally equipped with the Ultra SE system, which incorporates two Turing AI chips developed by Xpeng, or the Ultra with three Turing chips. International expansion. The commitment to EREV systems coincides with Xpeng’s plans to expand throughout Europe, Southeast Asia, the Middle East and Africa. By the end of 2025, the brand operated in 60 global markets and had doubled its exports. to exceed 45,000 units. The company has three production centers outside China (Indonesia, Austria and Malaysia), as confirmed in December. For markets like Europe, where the fast charging network remains irregular in many areas and it will be difficult for us to comply European emissions regulationsEREV models can make a lot of sense. Prices. Both the G7 and the P7+ maintain the same starting price for their pure electric and extended autonomy versions: 195,800 and 186,800 yuan respectively, equivalent to about 26,000 and 25,000 euros in exchange. Beyond cars. During the presentation, Xpeng also showed your artificial intelligence model second generation VLA 2.0 (Vision Language Action), which integrates visual perception, language understanding and generation of actions through reasoning. This system will begin to be implemented in March 2026 in the first vehicles and aims to bring the driving experience closer. at level 4 autonomy. The company is already working on robotaxis equipped with this software that have passed third-party tests and are about to begin trials on public roads. Images | Xpeng In Xataka | Like other brands, Porsche embraced the electric car. Like other brands, it now admits that “we were wrong”

Boston Dynamics starts commercial production while Optimus remains wrapped in promises

Boston Dynamics has unveiled the product version of Atlas, not a prototype or technical demo. The company describes This humanoid robot as an enterprise-grade system, designed from the ground up to be systematically manufactured, maintained and repaired. In its official communication it insists on concepts such as reliability, field service and prolonged useful life, a clear way of marking distance from more experimental approaches. In this way, Atlas makes the leap into the industrial world, with deployments announced for 2026 and a roadmap that, within the framework of Hyundai’s plans, points to a production capacity of up to 30,000 units per year. Meanwhile, Optimus remains tied to internal testing and automation at Tesla. Elon Musk had projected have “thousands” of humanoid robots working in factories by the end of 2025, but as of today there is no public evidence that the company has reached that goal. A change of stage announced in advance. The move towards a commercial Atlas had been in the works for some time. In 2024 the hydraulic robot stage will be officially closedactive for more than a decade, to give way to a completely electric design aligned with a real deployment. That decision came as recent advances in artificial intelligence accelerated the training and production of complex robots. Hyundai, client and driving force of the deployment. Atlas’ industrial leap is supported by a key corporate relationship. Hyundai Motor Group, the majority shareholder of Boston Dynamics, is also the humanoid robot’s first customer. He assures her that An initial deployment has already been completed in 2025 and an additional fleet is planned to be shipped in 2026 to the Robotics Metaplant Application Center. From there, Hyundai’s industrial investment context points to a possible expansion of scale, although these figures appear as general plans and not as specific commitments directly linked to Atlas. Designed for human environments. Atlas is not conceived as an isolated machine within a closed cell, but as a robot capable of moving through the same spaces in which people already work. Its function is aimed at handling and logistical support tasks in factories and warehouses, sharing an environment with human workers and other automated systems. To make it possible, the design has been optimized for coexistence, with mechanisms that allow detecting the proximity of people and stopping the operation when necessary. For a robot to truly fit into a factory, uptime is as important as the task it performs. Atlas is designed to operate during standard shifts, with an autonomy of approximately four hours in typical use. When the battery runs out, the robot itself can replace it autonomously in less than three minutes and return to work, allowing for continuous operation cycles. The charging system also works with conventional 110 V or 220 V electrical outlets, avoiding costly modifications to the infrastructure. Control, fleets and continuous learning. Atlas is not only intended to act autonomously, but also to integrate into monitoring and control systems at scale. Technically, it can operate autonomously, but also by remote control with virtual reality or tablet, and be managed as part of a fleet. In addition, a collaboration with Google DeepMind comes into play, aimed at integrating Gemini Robotics models to accelerate the learning of new tasks, a capability that the company presents as part of its roadmap and not as a fully deployed function from day one. Images | Boston Dynamics In Xataka | If China manages to lead in humanoid robots it will not be only because of its technology: its companies know how to sell them better than anyone else.

Microsoft knows that something has gone wrong, and promises these changes

For years, if you wanted to play on a computer, the answer was almost automatic: you needed Windows. Linux experience was limited and macOS did not offer a competitive catalog. That landscape seemed immovable until Valve decided to really bet on the game on Linux and showed that there was room to shake the board. Steam Deck It came as an experiment that many did not see coming and ended up reconfiguring expectations, to the point that more and more players are talking naturally about switching to Linux. This change of mood has put Windows under a magnifying glass that it did not have before. Windows’ historical strength in gaming was explained by something very simple: it offered the largest catalog, the most mature tools and a fluid relationship with developers. That basis is still real, but its perception has changed. The end of Windows 10 support along with the strict requirements of Windows 11has put teams that were still performing well on the ropes, unless their owners agree to run out of patches or use the extended update program. At the same time, the integration of functions that many interpret as unnecessary additions has generated some wear and tear. Microsoft tries to retain its throne in PC gaming Valve has been preparing the ground for years so that gaming on Linux stops being an experiment and becomes a viable option. Proton has allowed thousands of games designed for Windows work on SteamOS with a level of compatibility that was previously unthinkable, and the Steam Deck has served as a showcase for that progress. The recent announcement of a new Steam Machine for the show consolidates that movement, placing Valve in a position that challenges the idea that Windows is the only natural destination for PC gaming. It is not a frontal assault, but it is increasing strategic pressure. In parallel, far from presenting a laptop with an Xbox seal, Microsoft has opted for a more flexible path: supporting manufacturers that already dominate this segment. Together with Asus and AMD, he has shaped the ROG Xbox Ally and Xbox Ally Xdevices that run Windows 11 but boot into a full-screen interface designed for controller use. This experience unifies games from different launchers and reduces distractions, bringing the console feel closer without giving up the PC nature. It’s a way to compete in portable devices without having to design and maintain new hardware of your own. Besides, Microsoft presented Several internal improvements in Windows 11 are the result of work with the ROG Xbox Ally, which today benefit a large part of the Windows PC ecosystem. They include more efficient power settings, more stable memory management on Ryzen APUs and lower CPU load on tasks that previously affected performance. Still, the company insists that there is still room to cover. “We are committed to making Windows the best place to play, and we will continue to refine the system behaviors that matter most in gaming: background load management, power and scheduling improvements, graphics stack optimizations, and updated drivers.” Several of the technical improvements announced by Microsoft have already reached the desktop. DirectX Raytracing 1.2 is available and provides tools to process complex scenes more efficiently as long as the GPU and drivers are compatible. Advanced Shader Delivery works on select titles and speeds up initial loading when precompiling shaders during installation. Work on neural rendering is advancing cautiously and is only available in preliminary mode for studies. In parallel, Windows 11 has expanded support for LE Audio, which reduces latency and improves the experience in games that depend on sound. The push for Windows on ARM has become another relevant front to expand the reach of the ecosystem. During 2025, devices enrolled in the Insider program have been able to install compatible games from the Xbox PC app, allowing many titles to be played locally. The Prism emulator has added support for AVX and AVX2 instructions, and several anti cheat vendors, such as Easy Anti Cheat and BattlEye, have added specific support for Windows on ARM. From a gamer’s perspective, Windows retains obvious advantages, such as its catalog and the guarantee that almost everything will work without additional tweaks. Even so, the experience in Linux has improved Enough so that some see a more limited system as attractive, with fewer background processes and more predictable behavior. SteamOS solves many historical obstacles, although its popularity does not reach that of Windows, which continues to concentrate around 95% of Steam users compared to Linux still close to 3%. Windows’ journey in gaming has been long and dominant, but its role is no longer automatically sustained. Microsoft’s recent decisions show that the company is aware of this and wants to correct the wear and tear with technical improvements, a clearer roadmap to the future. Even so, Valve’s push has changed expectations and introduced a competitor that did not exist before. What remains to be resolved is whether these movements will be enough for Windows to retain the preferred place that no one discussed for years. Images | Microsoft | Xataka In Xataka | We knew that Valve was betting on Linux, but it was hiding something bigger: a years-long plan to bring Steam to all devices

Opera Neon promises to be the future of the browser. It is an ambitious vision yet to mature

I’ve been using it for a week Opera Neon and I don’t know if I’m testing the future of web browsing or participating in a psychological experiment on how much friction a human tolerates before returning to their usual browser. Probably both. Neon comes standard with everything that any veteran Opera user takes for granted: side messaging integrations, music apps in streamingthe multimedia panel… It is the reminder that, despite all the agentic experimentation, there is still an Opera underneath: practical, comfortable and designed for those who live glued to several platforms at the same time. The promise is seductive: a browser that not only answers questions, but act for you. Who browses, compares, reserves, creates. Who understands what you want to do and does it while you focus on more important things. Opera calls this “agentic AI“, and technically it is correct: Neon can take control of the browser, open tabs, fill out forms, compare products. It is AI with hands, it is Opera’s proposal for the same field as Perplexity with Comet or OpenAI with ChatGPT Atlas. The problem is that those hands are sometimes clumsy, unpredictable and dangerously overconfident. Opera Neon maintains all the classic features of Opera, such as the side panels to display messaging mini-applications or streaming music on an upper layer. In the image, Apple Music. Image: Xataka. Three brains in one body To understand Neon you have to accept that It is not an AI browser. It is a browser with three AIs living together. Chat, Do and Make. Each one with its function, its purpose, its personality. And here begins the first big problem: knowing which one to use at all times is a guessing exercise. Chat is the most familiar. A conversational chatbot that answers questions, summarizes pages, translates texts. Typical. It works well when you’re not making things up, which is about 70% of the time. I asked him to count the comments on several articles and he responded with 400 words explaining that there were none. when there were four. Do is where magic and terror live. You ask him to book a CrossFit class, find the cheapest flight to Lisbon, compare prices on headphones, unsubscribe from some newsletters. And sometimes it does. Open tabs, browse websites, fill out fields. Watching him work is hypnotic. It’s also slow, erratic, and occasionally catastrophic. In a test I asked her to add flowers to a store cart. Instead of somehow inferring my zip code or asking me about it, he directly introduced 28001: madridcentrismo to the song. While I, helpless, did click on the correct options that I was completely unaware of. There is no way to correct it while working. You can only watch, like someone who sees their autonomous car getting dangerously close to the cliff. A zip code just because, 350 km from my house. Image: Xataka. Neon spent an absurd amount of time wandering around the web, adding the bouquet to the cart, getting stuck on the shipping zip code, not feeling like anything productive was happening. Image: Xataka. Another example with Do: Image: Xataka. What he did was open Google Shopping, enter the term and not be able to click ‘Search’, apparently due to some subtle change in the website’s code. I gave it myself and Neon continued. It took a long time just to choose the order by price from lowest to highest. Finally he wrote the answer: Image: Xataka. Happy ending, although it is difficult to think of use scenarios where the use really compensates for the time and supervision it requires. If someone doesn’t know about Google Shopping, this is a good use case. If someone knows Google Shopping, they only have to do two clicks. Another example: reading some recipes Straight to the PalateI asked him to add all the ingredients necessary to make them to the Mercadona cart. Let’s go to trouble. Image: Xataka. Image: Xataka. This was one of those scenarios where there was no way I was going to complete the mission. Image: Xataka. Make is the most ambitious. Generate code, build web applications, create videos. I asked him for a memory game with Spanish vocabulary and he did it in minutes. Rough, but functional. It’s like having a mini-developer living in your browser, working in a virtual environment that disappears when you close the tab. A brilliant idea. A little polished perhaps, but brilliant. Image: Xataka. There are also the cardsa kind of templates prompts that function as mental shortcuts. You can combine them – “summarize + compare”, “decisions + follow-up” – or create your own so you don’t start from scratch every time you talk to the AI. It’s a simple but powerful idea: it makes user learning part of the system. Similar to what you propose Day with his Skills. It’s a good idea. What is not being said about Opera Neon Here comes the part that interests me the most, the one I read between the lines after a week living with this thing. Opera Neon is not really a product. It is a testing ground with product pricing. It is a public beta disguised as a premium service. And that wouldn’t be so much of a problem if it didn’t cost $20 a month. Let me be clear: I’ve seen enough technology launches to recognize when a company is testing concepts in the open field. And Neon is that. The bugs They are not occasional, they are structural, like the hallucinations. The Do agent disconnects if your computer goes to sleep. Chat responses are verbose. The Cards interface—those shortcuts prompts reusable—is full of examples with no real useful content. Cards examples interface. Image: Xataka. But there’s something more interesting going on here. Opera is making a counterintuitive bet at the worst possible time. We are in 2025: Google gives away Gemini in Chrome. Perplexity has Comet. The Browser Company (Arc’s company) has Day. Microsoft puts Copilot everywhere. And OpenAI recently launched ChatGPT Atlas. … Read more

Gemini 3 promises more quality and precision than ever in its responses. The question is whether we will really notice the difference

Google has announced the launch of Gemini 3its new artificial intelligence model. in the company They claim it is their most advanced reasoning model because it is “designed to understand depth and nuance.” Gemini 3 will also be available as standard as part of AI Mode in the renewed Google search engine (in this case and for the moment, only in the US). It is the first time that Google offers the benefits of its AI model from day one in the search engine, but it also reaches the Gemini app and the developers who work with AI Studio and Vertex AI. Behind him success of Gemini 2.5 Pro and Flashthe new version arrives in 30 new languages, including Catalan, Basque and Galicianand as we say you can start testing today in the United States… or outside of there via a VPN. Gemini 3 promises. At least in the tests Google highlights how the model’s behavior has been outstanding in various synthetic tests. Thus, Gemini 3 leads the LMArena classification with 1,501 points—the first to overcome the 1,500-point barrier. According to Google, the Gemini 3’s test results put it ahead of all its competitors in virtually all scenarios. In fact, he manages to reason “at the level of a PhD” according to the tests of Humanity’s Last Exam (exceeds 37.5% of the test without tools) and GPQA Diamond (91.9%). It also makes spectacular progress in mathematics, as demonstrated by the 23.4% on the MathArena Apex test: GPT 5.1 scores 1.0% and Claude Sonnet 4.5 1.6% on the same test, for example. The model also wants to be more direct: his answers are more “concise (…) and he prefers to offer valuable information instead of resorting to clichés and flattery. Tells you what you need to hear, not just what you want to hear“. Gemini 3’s ‘Deep Think’ mode goes even further in tests: in Humanity’s Last Exam it achieves 41.0%, but it also in the demanding ARC-AGI 2 It achieves 45.1% (with code execution), which also demonstrates progress in abstract reasoning and visual understanding. Gemini 3 explains the world to you in a simple way The model has a context window of up to one million tokens, which allows it to be used, for example, to analyze huge repositories of code or text and then work on that data. Its multimodal support allows you to analyze all types of information. For example, Gemini 3 can decipher and translate handwritten recipes in different languages ​​to create a family cookbook that you can share. Or analyze your pickleball games (we assume the same thing happens in other sports) and identify areas where you can improve and generate a training plan. Or scrutinize the data from a research paper and from it generate code for an interactive guide that helps us better understand those studies. In fact, integration with Google Search is an especially important part of Gemini 3, which being “embedded” in AI Mode It has the capacity to generate interactive visual elements (widgets, calculators, simulations) in real time. At Google they want the search to be more interactive than ever, and that will mean that sometimes the answers will not be just text, but rather a small interactive webapp that allows us to better understand the answer. Programming (and agents) to power The other crucial element of the model is its capacity in the area of ​​programming. Its results in tests of this type are once again outstanding, and for example it tops the WebDev Arena leaderboard with a score of 1,487 ELO. The model now behaves much more powerfully in the visual part. It also scores 54.2% on Terminal-Bench 2.0, which evaluates a model’s ability to use tools and operate a computer through a terminal. Additionally, it far outperforms 2.5 Pro in SWE-bench Verified (76.2%), a benchmark test that measures the effectiveness of scheduling agents. These Gemini 3 programming capabilities are intended to be used in a new agent development platform called Google Antigravity. The developer experience is using a “conventional” AI integrated development environment (IDE), but your agents can have access to the editor, terminal, and browser. That means these agents can autonomously plan and execute complex software tasks and validate their own code, making it easier for human developers to review and audit that code than ever before. The real challenge of the most recent models On paper Gemini 3 is postulated as a model that can really make a difference compared to its competitors. The test results and Gemini’s own trajectory make us think that the behavior of this model will indeed be remarkable. However The question is whether we will really notice the difference. In recent months we have seen how other AI companies have launched new models, but the impact for a large majority of users has been discreet: the previous models already performed really well, and although the new ones undoubtedly provide improvements, for many consultations these improvements allow us to perceive that jump in performance. Here we see two ways for Google to effectively demonstrate the capabilities of these models. The first opportunity for Gemini 3 will likely be in the area of ​​programming, and it will be these professionals who will likely be able to get the most out of those additional capabilities. But for the rest of the users, it will be that new AI Mode and the Gemini app that will have to make us notice those features. We are intrigued by this ability to respond with small interactive elements —graphics, widgets—, and perhaps with them we will really discover this new capacity of this chatbot. In Xataka | Let’s say goodbye to Google Assistant a decade later. Google has begun to delete its code to leave only one option: Gemini

analyzes your poop and promises to take care of your health for $600

Who in their right mind would think of putting a camera in the toilet. If the camera also costs $600, the thing sounds even more crazy. It’s Kohler’s latest idea and it makes more sense than it seems. Monitoring even the poop Smart watches and bracelets have created a whole health monitoring culture. This is what a few years ago we called the ‘I, quantified’but recording the steps was just the beginning. Today any wearable is capable of recording our keystrokes, the blood oxygen level and they also measure our sleep. Where smartwatches or smart rings do not reach, an entire category of health monitoring devices has emerged such as smart scales or Kohler’s proposal with the Dekoda camera. It is not the first in this line, a couple of years ago we already talked about sensor to detect urine withings. Dekoda: the camera that analyzes your bowel movements Kohler is one of the most recognized household products manufacturers in the United States. They recently announced the creation of a new division focused on health and their first product is Dekoda, a camera that is installed in the toilet to record the frequency and characteristics of our bowel movements. Dekoda has “advanced optical sensors and spectroscopywhich effortlessly observe how light interacts with your waste to learn to detect variations that could indicate health problems.” Kohler says that behind Dekoda there are more than 10 years of research to ensure accurate and reliable results. Dekoda comes with a mobile app in which data is transmitted (not photos, thank goodness) and helps detect health problems such as dehydration or presence of blood in the stool, which can be indicative of serious illnesses. It also offers nutritional suggestions and lifestyle changes. To ensure privacy, all content is encrypted and can be protected by fingerprint. It also comes with a remote control that is placed on the wall to scan the fingerprint and thus distinguish between users. The camera is placed on the edge of the toilet bowl (it can be placed in any toilet, it does not have to be from Kohler) and works with a rechargeable battery that we can remove to recharge it. It costs 599 dollarsbut also you must have a subscription to Kohler Health to be able to use the app, so you have to add 70 dollars per year per user or 130 dollars if there are several. Images | Kohler In Xataka | I got my hands on some “sleep headphones” in the hopes of finally falling asleep. It came out regular

We already had an ozempic to lose weight, now someone has created one for the eternal youth: NAD+ promises

Of the six -digit operations In elite operating rooms to luxury serums That they promise to erase wrinkles in minutes, the eternal youth industry has always played with the same idea: that somewhere there is a shortcut. But what if the secret was not in a cream or in a scalpel, but in a tiny molecule that lives in each of our cells? This is how NAD+is presented, the coenzyme that has gone from being a laboratory concept to become the new biohacking grail. The ozempic of being young. As happened with the GLP-1 drugs in The obsession with thinnessNAD+ has become the aspirational shortcut towards youth. Hollywood and the aesthetic elite have embraced him within the call “Invisible luxury”: undetectable results, continuous maintenance and therapies that combine apparatus with cosmetic biology. In that stew of mass access, supplements and “shots” of NAD+ they occupy the biohacking story. From Hollywood A Amazon. A couple of years ago, Hailey Bieber and Kendall Jenner They popularized Intravenous NAD+therapies, a format that Miami and Dubai clinics sell as an energy and anti -aging “booster”. But it is not just celebrity thing: a search is enough on Amazon to find NMN or NR capsules that promise to raise cell levels. The problem is that, As The New York Times has warnedthe scientific evidence that supports these habits is still weak. In addition, what appears on the label often does not match what is in the bottle. A study led by the gerontologist Andrea Maier detected deviations of up to 100% in the real content of supplements, regardless of brand or price. Shining the NAD+. Better known as Nicotinamide adenine Dinucleotide, is something like the spark that allows our cells to work. It is everywhere, from the muscles to the brain, and According to the University of Navarra Clinic Participate in such critical tasks as producing energy, repairing damaged DNA or activating syruches, proteins linked to aging. The problem is that, over the years, NAD+ levels plummete and begin to relate to memory loss, muscle weakness and an increase in the risk of diseases associated with age. Therefore, raising those levels by precursors such as NR or NMN can keep mitochondria and favor cell longevity. Initial essays, collected by the confidentialThey have documented improvements in memory, movement and metabolism. However, they are small studies and experts They agree that they are missing Essays to convert the promise into solid evidence. Experts ask for prudence. Enthusiasm coexists cautiously. According to the webmd medical portalnicotinamide is safe to 900 mg per day, but high doses can cause headaches, fatigue, gastrointestinal problems or enzymatic alterations. In the case of nicotinic acid, another form of related vitamin B3, can cause redness and decreases in voltage even in moderate doses. The University of Navarra Clinic Explain that Supplements can interact with medications that affect liver or coagulation, so it is recommended to use them only under medical supervision. In a more concrete way, they probably do not damage in moderate doses, but there is also no certainty that it is worth taking risks for something that still has no macros studies. A society in search of shortcuts. NAD+ fever fits into a broader cultural context: obsession with shortcuts against aging. Hollywood has gone from “Frozen faces” from Botox to the “Liquid surgery” And luxury invisible treatments, while the rest of society consumes supplements, Collagen powder and Digital filters as affordable substitutes. And perhaps that distance reveals something deeper: our obsession with shortcuts against the inevitable. The eternal youth industry blooms because we live terrified at the passage of time, as if aging were a failure that must be corrected. But old age is not an anomaly: it is the only certainty we share. Perhaps the real question is not how to avoid it, but why it costs us so much to accept it. Meanwhile, science continues to remember what it works –move, sleep well, Eat better– Although it never sounds as glamorous as a molecule that promises to stop the clock. Image | Pexels and Freepik Xataka | The elixir of eternal youth exists and we are seeing it in real time: luxury surgeons “at $ 100,000 the session

A Spanish company wants to convert the chitamiedos into biker allies. Promises to be as simple as effective

We are not going to discover anything if we say that chitamiedos are one of the great dangers for motorists and cyclists. For years solutions of all kinds have been sought. Among them have been proposed and installed Save them With double protection, Some even padded To absorb the impact and above all, eliminate the blade effect from the supports. There are also tubular options that follow that same logic of double and lower protection but avoiding the small pillars that can curtail members. Now, a Spaniard has presented a new addition that does not imply a new design of the cloakrooms. In this case, the objective is that emergency services can act faster and, therefore, some times that can be crucial when an accident is suffered. A connected alternative The system is called Plugsmart Pro And it is devised by the University University of Valencia (UPV) in collaboration with the Valenciana Metalese company is based on a similar idea. In this case they use artificial intelligence, environment monitoring systems and bidirectional signaling to alert drivers in real time. The system Analyze Constantly what happens around them and changes their lighting to warn drivers, bikers or cyclists that they approach a dangerous place, in complicated conditions or that there is some obstacle along the way. To do this, use some lights connected to each other that are installed on the wore. These emit a certain halo of light but when the weather conditions are complicated, the light takes strength. It is the simplest function because the truly interesting is in the monitoring of the environment. If the guardraíl detects that another vehicle is approaching, the flashes become more visible to alert who is on the other side of the curve. Also if, for example, there is a damaged vehicle, an injured person or an animal is crossing the road. If the system detects a dangerous object, the intensity of light increases. The invention has won the Ponle Brake Prize for Innovation in Road Safety in 2024 and this year the National Award Award for Conservation Safety. The companions of Motorpasion motorcyclethat from the DGT have already shown their support for the system. And it is that when the last great advantage of the system is that it can notify emergency services in case of accident. The latter is one of the incentives that the DGT has wielded to convince us that the V-16 lights that will be mandatory as of January are better than the classic triangles. That is, the system alerts drivers, cyclists and motorists that They approach a danger and its light adapts to signal its risk. But, in addition, it comes into contact with the authorities in case of detecting a blow with the intention that the response time from the accident warning to its performance is as much as possible. Photo | Miraxh Tereziu and Metals In Xataka | Spain has a problem with old motorcycles: they neither pass the ITV nor are they a maintenance day

A new generation of robots promises precision and efficiency. It also opens the door to cyberspage risks

The movement of the robotic arm seems impeccable: each turn, each clamp, each displacement occurs with the accuracy of a metronome. However, while these actions convey confidence in a hospital or a factory, another story is drawn in the background. The commands, although encrypted, let rhythms and pauses In the traffic that travels through the network. These patterns, invisible to the naked eye, in many cases allow to deduce the task executed. The same accuracy that we applaud in the robot can become a trace for external observers. Over the last years the interest in collaborative robots has shot himself. Hospitals are used as surgical assistants for their ability to make fine movements without fatigue, and in factories they have become allies for repetitive or risk tasks. Not only do productivity improve, they also reduce accidents by replacing the operator in hostile environments. The connectivity that drives its expansion, however, is also the one that can expose them to new vulnerability scenarios, According to a study in the University of Waterlooin Canada. Precision that dazzles in hospitals, a trail that can be interpreted The investigation did not focus on real -time robots by means Preprogrammed scripts. These systems receive an orders sequence and execute them with minimal human intervention, which reduces direct supervision and expands automation possibilities. At the same time, the way in which these systems structure high -level commands generates regular traffic patterns, and that regularity opens opportunities for analysis. The work was designed with a very concrete scenario: a passive attacker, someone who only observes the network traffic between the robot and its controller without deciphering it. The experiment was carried out with an arm Kinova Gen3a light robot usually used in research environments. The controller executed preprogrammed commands and the communications were protected with TLS encryption. With this assembly, the researchers registered 200 network traces corresponding to four different actions, looking for a varied and representative set. The authors began by converting network catches into temporary signals: instead of looking at the content of the packages, they analyzed when each one was sent and with what separation. Those time series were treated as acoustic signs, which allowed to apply classic signal processing techniques, such as correlation and convolution, which seek similarities and patterns in pulses and rhythms. From this transformation they trained a classifier that, in the closed environment of the test, assigned an action to each trace. The experiment used 200 traces on four actions and showed that, even with activated TLS, temporary subpatrones were detectable. Kinova Gen3 The trials showed that the method worked with remarkable efficiency: in most tests the system was able to identify the robot action with a success level close to 97%. This means that, although the orders travel encrypted by TLS, the observation of the intervals and the cadence can allow to rebuild what task it is executed. In a hospital, that could give clues about the nature of an intervention; In a factory, on the production sequence. A complete deduction is not always achieved, but the finding shows that the encryption alone is not enough. Although orders travel encrypted by TLS, the observation of the intervals and cadence can allow to rebuild what task it is executed. The finding acquires relevance to extrapolating it to real environments. In health, an attacker could identify details of a surgical intervention without the need to access the medical history, only observing the robot communication flows. In the industry, the patterns themselves could reveal assembly steps or Characteristics of a patented process. It is not an isolated failure of a specific model, but an alert signal on how connectivity multiplies the exposure. Each connected robot becomes a possible observation point. The researchers did not limit themselves to pointing out the problem: they also explored possible defenses. One of them is to modify the timing of the robot programming interface, so that the commands do not follow such a regular and predictable pattern. Another is to apply package filling and timing manipulation to hide the real rhythms. These measures could reduce the inference capacity of an attacker, although with a cost: lower network efficiency and, in some cases, more latency in the execution of the robot. Technological innovation always advances in parallel to the need to protect it. Cobots exemplify that balance: they promise efficiency and new forms of work, but also force rethink defense measures. It is not about stopping its adoption, but about doing it with a conscious look of the risks. Security and development are not opposite paths; They must travel together if you want the future of robotics to be sustainable and reliable. Images | Kinova Robotics (1, 2) | Freepik In Xataka | Alibaba is becoming the Ai Open Source sponator. Your family of Qwen models is putting the market above

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