The latest creation of the productivity guru is not a new method, but a clock that counts the days that are missing to die

A little over a year ago, in Xataka We talk about ‘second brain‘, that concept popularized by the productivity guru Tiago Forte. His latest novelty is not another book or other method, but A tool as simple as disturbing: Death Clocka calculator that predicts with mathematical precision the date of your death based on 17 custom variables. The calculator tells you, after answering some questions about your life habits, the exact day in which you are expected to die. And although it sounds a bit macabre and childish, the idea makes sense. Obviously, it is not an exact prediction or intends to be. It is rather a Mori memento digitala modern way of practicing that old philosophical exercise of contemplating our mortality to live better. The application simply translates your habits into a longevity estimate: changes from “sedentary” to “intense daily exercise” and you will see how a decade of life instantly wants. A numerical visualization of how our daily decisions accumulate over time. The first questions of the questionnaire. Click on the image to go directly to the application. Image: Death Clock. And a technological curiosity: Forte does not know how to program, so he built the entire application in a few hours by resorting to the VIBECODING With ia. He basically told a programming assistant what he wanted and this was creating the code for him. What really matters is how your perspective changes knowing that you have already exhausted, for example, 40% of your life. Suddenly, that meeting that could have been resolved with an emailthat mediocre series that you are seeing by inertia or that project that you carry postponing for years take a completely different weight. It’s not about being morbid or depressed thinking about the end. Not even giving more importance than what it simply puts figures to what we should intuit. Simply becoming aware of our finitude helps us to filter the noise and focus on what we really want to do with the limited time we have. It forces us to ask ourselves if this is what I want to spend one of the days I have left. And maybe there is the key to productivity. Not to do more things, but to do the right ones. Those that really matter. In Xataka | The “Johari Window”: understand how others see us unlock a good part of our potential Outstanding image | Xataka with Mockuuuups Studio

is leading the creation of a memory standard for the PCs with AI

Jensen Huang, the co -founder and general director of NVIDIA, is convinced that in the future most users will have a “supercommer of artificial intelligence (AI) Personal “. At the beginning of last January he led the presentation in the CES of Las Vegas (USA) of Project Digitsa very compact personal computer capable of executing models of up to 200,000 million parametersand therefore bigger than GPT-3. This computer is mainly intended for researchers, developers and students, although a good part of the latter can hardly invest the $ 3,000 (about 2,870 euros) that costs the most economical review of this machine. His heart is a soc GB10 that integrates a GPU with Blackwell architecture and a 20 -core CPU grace with ARM architecture. He works side by side with 128 GB of unified DDR5X type and low consumption type, although NVIDIA available memory standards do not seem to convince him for this scenario of use. Nvidia leads the development of the Socamm memory standard Projects Digits is just the spearhead. Presumably in the future NVIDIA will launch other personal computers even with greater capacities in The field of AIbut it seems that they will not use any of the memory technologies currently available. According to Sedailythe company headed by Jensen Huang has allied with South Korean companies Samsung and Sk Hynix, and also with the American Micron Technology, to develop a new memory standard known as Socamm (System on Chip Advanced Memory Module). Nvidia, Samsung, SK Hynix and Micron for the moment are not having Jedec These three companies are The biggest memory chips manufacturers of the planet, so there is no doubt that they are the best allies to which Nvidia can resort. Especially if the Socamm standard is being devised without Jedec’s participation (Joint Electron Device Engineering Council), which is the global organization that It is responsible for the development of standards used by the semiconductor industry and microelectronics. Apparently it is just what is happening: Nvidia, Samsung, SK Hynix and Micron for the moment are not having Jedec. In any case, what we know right now about Socamm memories, beyond the fact that they will be used in the next batch of personal computers for AI, paints very well. Although this information has not been officially confirmed by any of the companies involved in their development, it seems that the Socamm modules are being designed on the basis of LPCAMM memories (Low-Power Compression Attached Memory Modules). According to Sedaily, the Socamm standard will be very efficient from an energy point of view; It will have more I/O ports than conventional LPCAMM and DRAM memories (up to 694 ports); will allow to easily expand memory initially installed in the equipment for AI; And finally, these modules will have a physical size, which not storage capacity, much more restrained than conventional dram modules. If this standard contributes to the hardware for the most accessible to all, welcome. However, it is still early to trust that it will be so. Image | Nvidia More information | Sedaily In Xataka | The 20 most important personal computers in the history of technology

What is it, how does this Chinese artificial intelligence of open source do for the creation of videos

Let’s explain What is Goku Aia new artificial intelligence model of video generation. When we were still recovering from the irruption of Deepseek In the sector, the Chinese technology company Bytedance has launched a totally revolutionary model fear. We are going to start this article telling you what exactly Goku AI is, and the two reasons why this model is so revolutionary. Then we will try to explain how it works inside, and we will end up telling you the possibilities offered This new model. What is Goku ai Goku ai is a new artificial intelligence model trained to be able to Generate video from the text. It becomes something like the AIs that generate images, you tell him what you want it to appear in the video, and this will generate one from scratch. This model is completely revolutionary for two things. The first is by The incredible quality of its results. The IA of videos creation has not yet reached the general public, and we have been seeing how realistic mediocre results pass. This AI is positioned among the most realistic in what can be generated with it. But the most disruptive is that it is again An open source model Available for everyone in GITHUB. As with others such as Deepseek, this means that anyone can access it and replicate it, and you can also use your code to settle for free on devices. Of course, there is currently no distilled models of Goku that can be used in normal computers, and the complete model needs very powerful GPUs and technical knowledge to settle. Even so, we should soon see the arrival of distilled models that you can use with Some of the free tools To install an AI on your computer. But come on, for you to get the idea, so far the most popular artificial intelligence models were closed and could only be used paying. Meanwhile, Goku arrives in this new wave of China with open source models that can be used for free. How Goku AI works This artificial intelligence model works as a video generation model based on flow and fed by a rectified flow transformer (RTF), which helps Improve your quality and efficacy. With this technology you can refine the images and each frame of the video progressively, making movements transitions soft and have a high visual fidelity. The video creation process begins when a user writes in text format what he wants to see, or even when he shares images. Then, the model understands what you are asking for with your natural language and converts these elements into structured representations. Then use a rectified flow dynamic to improve photograms interpolation, reduce noise, and try to guarantee good continuity. As a final step, Goku synthesizes coherent video sequences with fluid transitions. As for its technologies, the RFT allows you to maintain a good quality minimizing the computational load of the process. The process also uses A neural rendering with which to guarantee that the generated video has realistic movements and fluid transitions, and that there are no grotesque results. An architecture based on transformers is also used to model temporary units in video sequences. With all this, the resulting videos should be very realistic, and even static images can be encouraged. What can this AI do The main function that can be expected of this AI is the possibility of Generate videos from text. You write what you want the video to have, and generate an animated video with natural movements and realistic environments from nothing. It can also be used to convert images into animated clips. You can give you an image that will analyze and understand, and then you will describe what you want me to generate from it and make you an animation. This can be a real revolution in many areas, because the resulting people are realistic, the effects of clothing and textures are also, and objects move normally. Everything you can think of you can ask for it, and as it will be open source it is logical to think that it will have fewer restrictions. In Xataka Basics | Deepseek guide: 36 functions and things you can do for free with this artificial intelligence

Philips was the second largest chips manufacturer on the planet. Now it is out of a market led by its creation: ASML

What we have promised you in the head of this article is strictly true. As Marc Hijink explains in his highly recommended and fresh out of the oven ‘Focus: The Asml Way’during the decade of the 70s of the last century Philips was the second largest manufacturer of semiconductors of the world. The leader in this market at that time was the American company Texas Instrumentsbut the Dutch firm had a long career in the field of innovation and technological development. In the early 70th Philips had more than 400,000 employees, and approximately 90,000 worked in the Netherlands. At that time his business was mainly held on The design and manufacture of televisionsradios, medical equipment, appliances and lighting solutions. His Porfolio was not but that nothing wrong, although his true strength was that absolutely everything was designed and manufactured within Philips. Today this strategy would be impracticable. Anyway, if we stick to the production of integrated circuits, the interesting thing is that the lithography equipment used at that time had also been devised and manufactured by engineers of the company itself. In fact, its first flirting with the semiconductors dates back to the late 50s of the last century. At that time the Philips Board of Directors realized of the enormous potential the chips had And he decided to create several research centers, as well as collaborate with technological universities and laboratories. ASML is the result of an inspired alliance During the decades of the 60s and 70th Philips was already a great technological emporium. In the early 80s he had acquired a lot of experience in the field of semiconductor manufacturing, but the industry sued smaller and capable chips. These requirements represented a technical challenge for company engineers who were responsible for the design of photolithography equipment, so in 1984 the Philips directive dome made a very important decision: he decided to associate with the Dutch company ASM International (Advanced material semiconductor). Currently all companies that produce advanced semiconductors have in their plants the UVP or ASML UVE machines The purpose of this alliance was to take advantage of Philips’s extensive experience in the set -up Design and manufacture avant -garde photolithographic equipment. The result of this collaboration was the birth of ASML (Advanced Materials Semiconductor), the Dutch company that leads the production industry of these machines thanks to the enormous success that their teams have had extreme ultraviolet lithography (UVE). Currently all companies that produce advanced semiconductors have in their plants the machines of deep ultraviolet lithography (UVP) or extreme ultraviolet asml. Some of them are TSMC, Samsung, Intel, SK Hynix, Micron Technology, SMIC or UMC. However, once we have reached this moment it is reasonable that we ask ourselves why Philips is no longer a relevant actor in the integrated circuit manufacturing industry. In ‘Focus: The Asml Way’Marc Hijink tells us that after the creation of Asml Philips he settled. Its chips factories lost competitiveness and little by little they ceased to be able to develop the semiconductors required by the market. Jon Yu, the person in charge of the Newsletter The Asianometrysuggests essentially the same During the conversation who has maintained with Ben Thompson, the author of the interesting publication Stratechery. “As they count on ASML, Philips failed. It was a company with Too much bureaucracy and too much clinging to their customs. It is something similar to what happened with the Japanese in the 90s. Philips had already fulfilled his cycle and deserved to conclude, although he apparently sold his participations too soon. “It is a pity. And it is because there is no doubt that in the Current situation to Europe would have two leading companies in semiconductors. * Some price may have changed from the last review Image | ASML BIBLIOGRAPHY | ‘Focus: The Asml Way’by Marc Hijink More information | The Asianometry In Xataka | 2024 has been a year full of uncertainty for chip designers. So much that the market has changed leader

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