product

Before panic for US tariffs there are technological ones doing something uncommon: product collection

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The scenario of Commercial War between the United States and China is generating an uncomfortable emotion in some of the technological giants: absolute panic by what may happen in the coming months. The supply chain is intended to change, and manufacturers live an uncertainty that increases for weeks. Some of them have begun to move, from Apple to Nintendo, with a clear objective. The collection of as many product units is possible to avoid a greater impact. Standby, not a real pause. The current status of tariffs is that of a ninety -day pause. With the numbers that are right now on the table, the products imported from China to the United States suffer a 145%tariff. The global is set at 10%. They are numbers that are of little use since, since the beginning of the month, they have suffered a practically weekly dance. The situation at the time we write this piece is from standby, but could change completely in a matter of time. Apple, the first to move file. According to sources of Reuters, Apple fought 600 tons of iPhones in airplanes from India to the United States. A total of six commercial flights with a million and a half devices in total. A decision that would be accompanied by An increase in India production of 20%in order to mitigate the impact of tariffs. They are still ridiculous figures compared to the bulk global sales of the iPhone, which exceeds 100 million annually. Nintendo and Switch 2. The Gaming Estrella product in this first half of the year was the new Nintendo Switch 2a device that started from 469.99 euros, but for which price increases are not ruled out. Just a few days after its launch, Nintendo announced The postponement of reservations in the United States. According to sources of Bloombergthe Japanese company is sending thousands of consoles From Vietnam to the United States. The objective is simple: introduce in American territory as many consoles made of China as possible. Consumers begin to answer. The fear of future price increases is not affecting only manufacturers, consumers too They begin to answer. Sources of Bloomberg They ensure that in just a weekend the influx to the American app store has been similar to that of the Christmas campaign, one of the most powerful for Apple. “Sales of networks in North America grew very strong when benefiting from the awarded contracts and the accelerated investment of customers, partly reflecting the uncertainty of tariffs” Manufacturers such as Ericsson have triggered their sales in the first quarter in American territory by 64%, to some extent due to an acceleration in investments in networks infrastructure caused by uncertainty. It is not enough. The world is beginning to respond to the possible stage of a 145%tariff, but neither charting airplanes nor increase production in other countries will be sufficient. The industry is condemned to raise prices to survive, as well as to look for alternative routes for a production chain that has been optimizing for more than two decades. Image | Xataka and Pixabay In Xataka | If the question is “who will win if prices for tariffs up” the answer is: “Second -hand mobiles”

The startup of ia of one of Openai’s co -founders has no product. Even so it is valued at 32,000 million dollars

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Promises and expectations can use a fortune. It is the only thing that justifies that a startup of which nothing is known It is worth good 32,000 million dollars. That is more than eBay, Endesa or Hyundai, but with the difference that these companies have been working for years and even decades to achieve that figure. But we are in the AI ​​era, and here, we insist, promises and expectations are worth a lot. There is not much more than right now it seems to offer Safe Superintelligence (SSI), the startup of Ia co -founded by Ilya Sutskever, who was already confused of OpenAi and abandoned his ranks less than a year ago. According to Financial TimesSutskever has managed to lift a financing round of 2,000 million dollars for its startup, which makes the assessment of the same ascend to those mentioned 32,000 million dollars. The figure is also surprising because the economic moment we live, with tariffs threatening everything, precisely raises an important brake on investment. In September SSI He already lifted $ 1 billion and that made its valuation out of 5,000 million. That figure has multiplied by six, which seems to make it clear that they have something striking in hand. In An interview Last year Sutksver raised an AI with “nuclear safety”clarifying that “no matter how safe we ​​mean as when we talk about nuclear safety, as opposed to safe when we talk about” trust and security “”. In a later interview in September this engineer and entrepreneur indicated that he and his team had “identified a new mountain to climb and that it is something different from what I previously worked on.” Sources close to SSI have indicated that the company works in very special ways to develop and climb AI models. If true The milestone would certainly be intriguingespecially now that it is criticized that climbing – more gpus and more data to train AI models— It no longer provides such striking improvements. Be that as it may, the former OpenAi employees are apparently very well after having left the company. We have another example in Look Muratiwhich has also launched a call startup Thinking Machines Lab. He is also working to raise an important investment round … and also does it without having any product to show. So are these times. Image | OpenAI In Xataka | There are too many AI models. That raises a true death sentence for Anthropic and Claude

In the war cameras vs lidar, Tesla has a lot to learn from an unexpected product: the Chinese aspiring robot

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Light detection and ranging. Or, what is the same, detection and measurement of light. These are the words behind Lidar. This technology uses light pulses to map the environment and discover each and every corner of a stay or an open space almost in real time, as well as to recreate 3D environments with enormous precision. To understand how a lidar radar works, I recommend watching Mark Rober’s video in which it tells the differences between a car equipped with this system and its tesla, which exclusively uses cameras to detect the obstacles that you can find along its path. Beyond the controversy arising in relation to the tests that Rober does, the video explains well Why Lidar is such a complete system. In a simple way, the system takes advantage of the speed of light to emit infrared pulses. These bounce in the object in question and the system calculates how far that object is using the time that the pulse of light has taken to go and return. As light pulses have a very small size and, as we said, it takes advantage of that very high speed of light transmission, can map the objects almost in real time. In recent days, after Mark Rober’s video, the controversy of whether it is better to use an LIDAR or one system that exclusively use cameras and recreations by software is better or worse to guarantee the best behavior in terms of autonomous driving. A controversy that has left people trying launch your tesla against a wall With a road painted in the purest shyesty style. And it is a long time since it made it clear that I would bet everything on the use of cameras for manage your driving aid systems Or, in the future, completely autonomous driving with the robotaxis that wants to put in the streets. At the time, home vacuum robots also lived this moment of indecision. And along the way, Irobot who was the leading market leader has ended up giving millionaire losses and has seen how Chinese manufacturers have eaten much of the market. The secret of the latter: they use lidar instead of trusting everything to the cameras. What can you learn from a vacuum cleaner “We have substantial doubts”, with these words Irobot owners responded to the question of whether they could move forward with their operations. My partner Javier Pastor explained A few months ago when Amazon raised the purchase of Irobot in 2022 (which fell into regulatory terms) The company had a value of 1.2 billion dollars. In the third quarter of 2024, the calculation was about 200 million dollars. Shortly after, The situation has not improved a lot. In 2024, Irobot lost more than 145 million dollars. However, they had reduced their losses by 52%. The company faced a perfect storm. After spending the worst of pandemic, spending on home robots and other products (such as computers) They collapsed. That coincided with the launch of new Chinese products that were faster and faster than Irobot’s: they used the lidar sensor. This system is ideal for improving the capacities of a vacuum robot. It detects better obstacles, mapping the house more precisely and that translates into faster and more effective work. The result is especially good if it is combined with the cameras and artificial intelligence systems to discover smaller obstacles that can go unnoticed or create confusion. In recent years, that has been the trend of the market in cleaning the home. The combination of this system with a more attractive price He has triggered the sales of Chinese aspiring robots, to the detriment of an Irobot that accumulated more than 60% market share. The comparison with Tesla and the electricity car market is evident. The latter are using Lidar sensors in their cars and offer a product equal to or better than Europeans and Elon Musk’s for a fraction of their price. He Xiaomi Su7 and its wide reception He is being a good example of this. Tesla has long since defends that Lidar are not necessary to improve autonomous driving systems but studies say that, as in the case of vacuum robots, the best performance is signed When both technologies are combinedLidar and cameras. In the case of Xiaomi, the videos shown from How your total autonomous driving system operates They are impressive, with very human behavior and managing the smallest spaces very well. This is possible because, among other things, A lidar is better when calculating distances And suffer less when the light falls. Neither does the risk of the camera be dazzled, At least not intentionallygenerating Ghostly brakes. So far, everything indicates that Tesla does not seem willing to return to anything other than the “All Chamber” To save costs. At the moment it has worked but you have to demonstrate that it is as effective as more advanced systems. And there is also the largest electric car market in the world. In China, where foreigners are suffering from the local product, Tesla is hitting a good batacazo in 2025. Photo | Tesla and Irobot In Xataka | “It’s like living millions of lives”: Tesla trusts their own drivers to advance Waymo and Cruise and shoot their value

Taking product photos is an odyssey. Dreamshot has an AI to make it much easier

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I don’t know if anyone has, has had or knows someone who Have an online storebut if so, a big hug. Mounting a store is not precisely easy and much less when your products have to look. If you sell, say, sweatshirts, the only way to teach how they look is photographing a model that has been put. And each model is a world: they have an eye color, a hair, skin color, etc. You have to take into account locations, make content for networks, in short. It is a really complex and, of course, an issue that can solve. That is what he proposes Dreamshota generative artificial intelligence tool Made in Spain who won the hackaton of AI2030 (event that Xataka was Media Partner) And that we will know today better. And attention, because perhaps it can be useful to some Xatakero who wants to undertake with his own fashion brand and does not know where to start. Fashion AI Image | Tamara Bellis How does a generative artificial intelligence work? Grosso (Very Grosso) Modeif we want an AI to learn to generate images of a horse you have to give a lot of images of a horse. Thousands, tens of thousands. If we do that with fashion images with different styles, funds, contexts, postures and models we will obtain an AI capable of generating images of models that integrate the elements we want. That is exactly what they did in Dreamshot, train a personalized model (Dreamshot v2) with More than 10,000 fashion images. Javier Jiménez, founder and CEO of the company, explains in conversation with Xataka that Dreamshot is based on Flux. Dreamshot is not a founding model as such, but a Fine Tunning Flux for which fashion images have been used both licensed and own. The first model, Dreamshot V1 Aka Lookbook is Open Source and can be used from Prompthero. Behind each product photo there are hours and hours of work and a huge investment | Image: Khaled Ghareeb Javier states that the photos are both own and ceded by the brands, ergo with permission. “We have not scrape anything from the Internet (…) It is an ethical training, we have all the rights of the photos we have trained with,” he says. How does it work? Although it does not completely eliminate the need to make a photo shoot, it does significantly reduce the amount of photos we have to do and the work and time invested. Because? Because if we want to squeeze the tool to the maximum we will have to upload photos of our productsideally varied photos, from different angles, with different perspectives and in different places. Minimum five. The thing is that once these photos have been made, the possibilities are huge. Dreamshot interface | Image: Xataka On the left the reference image of the green jacket. To the right, the result generated by the AI ​​using the prompt “60 Years Old Man Wearing Bottle Green Overshirt. He is in A Forest Full of Trees During Sunny Day” | Image: Xataka Great here to better appreciate the detail | Image: Xataka Once we have the photos, we can upload them to Dreamshot and ask the AI ​​to generate images of said product in other contexts or in models that do not exist. Or take stock photos that in another context would require mounting a complete set. It is a way to reuse photos to infinity. You don’t have to take photos of the product again, but ask the AI ​​to generate them for us. On the left the original image, on the right the one generated with the changing the model for a person with dark skin, with beard and dark green eyes | Image: Xataka Another option that works surprisingly well is that of change models. If we have a photo of a light skin model and light eyes and we want one of a model with dark skin and dark eyes, in another context two models should be counted. With Dreamshot we just have to upload the photo and ask the AI ​​to change it by entering a prompt. The result is quite striking, although a trained eye will quickly distinguish that the image is generated with AI. However, things as they are, the substitution of faces is spectacular. On the left the original image, on the right the generated with the changing the model for a blonde woman with blue eyes | Image: Xataka So is the Background changesomething that in normal conditions would mean displacements and time. This, more than for the store, it is interesting to use it to generate content for social networks. If we have a timeless garment or accessory, we may be interested that the networks in networks go in tune with the season of the year, for example. Well, it will be enough for us to select the photo of our model in the mountain and ask you to put it in the city, on the beach, in a forest or in front of the Roman Colosseum. On the left the original image, on the right the generated with the bottom of the Roman Colosseum | Image: Xataka It should be noted that Dreamshot divides the photo into three parts: model, clothing and background. We can change any of all three, but not alter the image itself. It is not possible to take the photo of a person and undress her. We could change the shirt or change the model, but not wear a photo of a dress dressed and undress or put it in swimsuit or interior. It is a dangerous matter, but Dreamshot has covered himself well and with success in this sense. Why Dreamshot? How does this idea arise? Javier Jiménez tells us that his first company It was a jewelry ecommerce“I was 10 years and every month we had photo sessions and there were thousands of euros, a month of preparation for each photo shoot … Then … Read more

The most viral success of AI is at the same time a symptom of its problems as a daily product

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The AI ​​had ceased to surprise us. And then the “ghiblation” of images and the Internet arrived He went crazy. In recent days we have lived a fever for converting all kinds of images –And even videos– To imitate the style of Miyazaki teacher and the mythical creations of his Studio Ghibli. The phenomenon has served to make AI at least for a few days again. And that is precisely the problem. Saturated from AI. The appearance of Chatgpt in November 2022 has unleashed an explosion of AI, but after the initial earthquake things have relaxed. Although there have been notable advances, we have “accustomed” to AI, and technology seems relegated to the background for most users. As my partner Javier Lacort said in his reflection of a few days ago, we have seen ourselves immersed in “an universe of impenetrable jargon that was moving the conversation about AI from the initial astonishment to arid technicism.” AI lives from “magical” moments. We saw it with Deepseek A few months ago, and we see it again with the Studio Ghibli style images. Until those “magical” moments occur, the AI ​​does not just set among the general public. There is certainly a moderate use among the population and there are also niches that use it intensively –The program of programmersfor example – but people lack something crucial: an App. What do you use AI? The current options are undoubtedly striking in the creative field and also as assistance for professional tasks, but for now the chatbots have not infiltrated our lives as they did for example internet search engines. They solved a more pressing problem – finding what one was looking for on the Internet – but for the moment AI does not have just replaced them and is not used massively. Looking for an AI that is a google for daily use. The search engine revolution is probably one of the inevitable conquests of the future for AI. We are seeing it with perplexity And the search engines that OpenAi so much Like Google itself They are offering users. These platforms will not totally move to the traditional search engine, but one thing is evident: every time we look more with Chatgpt ” – or any other chatbot – and the growth of that trend seems unstoppable. At the moment Gartner’s cycle of expectations is very well reflected the AI ​​phenomenon. It seems that we have reached the peak of oversized expectations, and we now fall into disappointment avism. Source: Wikimedia. Beware of disappointment abyss. The Association for the Advancement of Artificial Intelligence (AAAI) published these days these days A study conducted by 24 researchers from AI. It included a section entitled “Perception of the AI ​​VS reality”, and in it there was talk of the well -known cycle of expectations of Gartner. The consultant itself estimated that expectations and Hype For the generative AI had already exceeded its highest peak. AI is not so much (for the moment). 79% of the experts surveyed in that study indicated that the current public perception of AI capacities do not correspond to the Reality of research and development in this field. In fact, 90% claimed that this is conditioning the investigation, and of that figure 74% revealed that the areas in which they are being investigated are areas where there are still many expectations. So we are not going to get to the AGI. The most important companies in this area have a common goal: to achieve a AGIthe Holy Grail of Artificial Intelligence. However, these same experts do not have too much hope that we will develop it. 76% of the 475 respondents indicated how to climb (more data, more GPUS to train models) will not be enough to reach an AGI. We need a different approach, and those experts advocate prioritizing issues such as security, ethical governance and a gradual and more responsible innovation instead of this apparent frantic career that does not think about the consequences. Waiting for the next Bombazo of the AI. The fever for “ghibliization” seems to have relaxed significantly and surely in a few days or weeks it is blurred as a striking option more than one AI that excites us to pull – before the Grok 3 censorship imagesfor example – but do not conquer permanently. At the moment it seems that this will continue to be the norm, and now we are waiting for that next pull and perhaps that Killer App that can mark a turning point in the adoption of AI. OpenAI and his rivals need Hype. Meanwhile one thing is evident: what companies sell us (“we are close to the AGI” or “with AI you can do everything Better and faster“) is away from reality. They sell expectations and Hype. TOI remove the best example is OpenAi, which needs that message to continue raising Gigantic investment rounds that allow you to continue burning money As if there were no tomorrow. In Xataka | “In a year or two code editors will not exist”: four programmers explain the Vibe Coding revolution

How to scan a product and check with these apps if it is European and what country comes from

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Let’s tell you How to scan a product to know if it is European or what concrete country is coming. You can also know the relations that this country has with Spain, the description of the product, and if it is a foreigner you can even know the European alternatives. Due to the geopolitical context, many initiatives of this nature are emerging. In this case it is Several mobile applications They analyze the barcode or the product logo, and they tell you if they are European. We will tell you both the main apps to do this and the way to use them. Apps to know if a product is European Let’s start with a small list with Some applications for scanning products and know if they are European or not. At the moment, there is no multiplatform unified app, but we have several independent apps available for Android or iOS. BUY European for Android: A quite new app that analyzes the products for its barcode, and tells you the company to which they belong and the country they are. Is on Google Play. BUY European for iOS: It is not the same app as for Android, but does the same. You analyze the product barcode and tell you if they are European. It is in the App Store. Buyfromeu for Android and iOS: It allows you to know if a product is really made in Europe, and gives you alternatives. It also allows you to look for alternative for online services. Do not escape anything, you only use a search engine, and this is multiplatform. Is on Google Playand In the App Store. Buyeuropean for iOS: An app that does not analyze the barcode, but the face or cover of the product. Then look for that product and tells you its origin, and it is not European even gives you alternatives. It is in the App Store. How these apps are used In most cases, all you have to do is install the app and give permission to access the camera of your mobile. This permit is necessary to take photos of the barcode or the front of the product you want to analyze. Once you have done this, simply take a picture of the product or bar code, it depends on the app. Sometimes it is not even necessary to take the picture, you just have to point towards it. In any case, When reading the application, it will show you the product data And he will tell you if it is European or not. What this app does when detecting if the product is not European depends on each one, in some cases an alternative can be offered. What you can know with certainty is when one of these products is from some country on the continent. In Xataka Basics | 61 European alternatives to Google, X, Gmail, Chrome, Maps, Dropbox, Google Drive, WhatsApp and other popular services

Anthropic possibly has the best generative product. And not even that guarantees that it survives

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AI is an unprecedented money devouring. Anthropic is closing a round of 3.5 billion dollars that triggers its valuation to more than 61,000 million. An astronomical figure for a company with a produce … but that has barely two million monthly active users. And projected income of “only” 1.2 billion for this year. The numbers do not add up. And that is precisely the issue. Anthropic’s problem is not the quality of your product. Claude is, in many ways, the most refined market assistant. His security approach and greater ethics, his warmer communication – as warm is his background color as opposed to Chatgpt nuclear – and his ability to hold coherent and deep conversations have made him the favorite of many demanding users. It is really good. But being the best does not assure you victory in the technology industry. Not even survival. OpenAi has 400 million active weekly users because a bestial brand has been built in AI. Google has a kind of Klapauciusan infinite money trick thanks to Your advertising empire. XAI of Elon Musk takes advantage of the X platform and its own CEO as natural showcases. Microsoft has integrated AI throughout its product ecosystem. And Anthropic? It has a great product with little distribution. It is the perfect paradox: the best assistant that almost nobody uses. The history of technology is full of higher products that ended up losing in front of mediocre but better positioned rivals. Betamax was technically superior to VHS. Apple’s Newton anticipated the iPhone for a while but a chestnut was given. Netscape Domino Internet Before being crushed by Internet Explorer. What we are witnessing is A classic standard warwhere the winner will not necessarily be the best product, but that he achieves the critical mass necessary to establish himself as the new standard of the industry. The uncomfortable reality is that we live in a world, As my said yesterday quate Javier Pastorwith Too many models of AI. Every week a new one arises. Anthropic, Openai, Google, Microsoft, Meta, XAI, Deepseek, Perplexity, Mistral, Alibaba … the list continues to grow. And when the risk capital stops flowing so generously – because at some point it will – many will not survive. The analyst Ed Zitron expresses it bluntly: Anthropic “is not a real company, I could not survive without the beneficence of risk capital.” With losses of 5,600 million last year, it is difficult to refute that statement. Zitron omits that living in losses seized to risk capital is the routine of much of the technological industry, but it is not reason. Anthropic’s strategy seems clear: to position itself as the “most human” alternative against the energy of “Robot God” of Openai. Your demos They include warm color corrections, relaxing jazz music and presenters who sound like normal people speaking normal, not as a Chief of or a Head of proclaiming achievements. It is an intelligent approach. Is it enough? Perhaps the most likely destiny for Anthropic is the acquisition. An excellent product with scarce commercial traction is attractive to giants that seek to improve their own AI offers. Apple, who has not yet shown all its cards in this game, could be a logical buyer, although its shopping history is far from these quantities: its greatest acquisition was that of Beats eleven years ago and paid for it twenty times less than what Anthropic is worth now. In this landscape oversaturated with almost indistinguishable models for the average user, the question is not who has the best technology, but who will survive when the money of the venture capital begins to scarce. And in that battle, having the best product is surely not enough. In Xataka | The new Claude 3.7 of Anthropic simplifies what other models complicate. And incidentally program and “reason” like the best Outstanding image | Anthropic

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