goal

A single company is going to buy 20% of all the footwear manufactured in Mexico. Their goal: confront China

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These are not easy times for the footwear industry in Mexico, a sector that generates tens of thousands of jobs, moves million-dollar investments and has its headquarters in the state of Guanajuato. main bastion. In a market highly conditioned by Asian competition, the local industry has experienced setbacks and job lossstaying far below of its production capacity. With this backdrop, the sector has received curious news: a single Mexican company is willing to buy 20% of all national production. Shoe addict. Grupo Coppel is a heavyweight in the Mexican economy. He holding companywhich a year ago announced its plans to invest almost 700 million of dollars in the country throughout 2025, has a long experience in the financial services and retail sector, with hundreds of points sales distributed throughout the country. All in all (and despite its enormous size), it is surprising the advertisement what it just did: in 2026 the company plans to buy no more and no less than 42 million pairs of shoes produced in Mexico. That’s a lot of shoes, right? Yes. To be precise, this is one million more pairs than those already purchased in 2025. However, the figure is striking for another reason. With this enormous volume of purchases, Coppel will account for a fifth (about 20%) of all formal national footwear production. The operation is part of a “strategic alliance” reached with the Chamber of the Footwear Industry of the State of Guanajuato (CICEG) and, according to calculations from the firm itself, will allow “contributing to the livelihood” of the more than 100,000 families that depend directly on the footwear industry in Guanajuato. “This alliance promotes the growth of our companies and strengthens the Mexican footwear industry in an environment of legality, transparency and respect for market rules. By choosing the formal national supplier, you contribute to the construction of a more solid and competitive sector,” celebrated a few days ago Juan Carlos Cashat, president of CICEG. For shoe manufacturers in Guanajuato, the news is a valuable breath of fresh air. Footwear ‘made in Mexico’. His output It is far from that of countries like China, India or Vietnam, but Mexico is a prominent footwear manufacturer. In fact there are rankings that place it as the tenth worldwide and second in Latin America, only behind Brazil. In 2024, the country’s companies produced around 214 million of pairs of shoes, which explains why the sector contributes million dollars to the Mexican GDP (especially in Guanajuato, the heart of the sector) and also maintain thousands of jobs. Despite this footprint, the sector has not had easy years. “The impact of the pandemic was severe. Before 2020 we had 64,000 jobs registered with the IMSS. During the pandemic that figure fell to 49,000,” recognized two years ago the CICEG. Since then the situation has changed, but the sector stay away to be at 100%. Beyond market fluctuations, the industry has had to deal with competition from low-cost merchandise from Asia. Click on the image to go to the tweet. The Government, to the rescue. The data quoted by the local press are eloquent. In 2022, Mexico imported 136.4 million pairs of footwear valued at 1,843 million dollars. Two years later, the Import Trade Balance showed that this flow had already reached 185.5 million pairs with a value of 2,163 million dollars. On average each pair cost $11.6. The problem was not so much the arrival of products manufactured in Asia as the competition it exerts on national firms, especially due to suspicions of price manipulation. To clear up doubts, the authorities responded with an investigation antidumping and in September 2025 they decided to impose a system of compensatory duties on imports from China. It was not the only support from the Government to the industry. In November the Executive advertisement a Textile and Footwear Promotion Plan to finance small and medium-sized businesses. The objective: inject around 6.5 billion dollars to improve the competitiveness of the industry and reactivate 50,000 jobs, recovering part of the lost production muscle. How does the future look? Optimistic. At least that is what the CIEG recognized in December. “Despite a challenging economic and commercial environment, the industry in Guanajuato is beginning to show signs of recovery, especially in terms of employment and productive capacity,” indicates the sectorwhich recalls that between the month of September and October it registered a small rebound in employment. The increase was modest (256), but it is the first recovery “in many years.” The employers’ association also detected a change in the international market. “Total imports remain high, with more than 141 million pairs imported from January to September 2025, although relevant progress in the fight against unfair practices stands out,” celebrates CIEG“Imports from China, corresponding to tariff items with quota, decreased by 81%.” Images | Irfan Simsar (Unsplash) and Phil Desforges (Unsplash) In Xataka | Mexico City is already noticing the economic effect of the World Cup: it is losing homes and gaining Airbnb apartments

The scientist who made the AI ​​we know today possible has just raised 1 billion. His new goal is to teach him to see space

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Fei-Fei Li, known as the godmother of AIjust closed a $1 billion round for World Labs, his startup dedicated to teaching machines to understand the world in three dimensions. Behind this bet are large companies such as NVIDIA, AMD, Autodesk or the Andreessen Horowitz fund, among others. Li, like other important figures in the field of AI, believes that world models are the way to go, instead of the AGI. Who you are and why what you do matters. Li is one of the people who made it possible for the Generative AI as we know it today existed. He was part of the team that developed ImageNet, a database of millions of images that allowed computers to learn to recognize objects in photos. That academic work was the trigger for the leap towards deep learning that gave rise to everything that came after: from voice assistants to generative models of text and images. Now, from Stanford University, where he directs the Institute for Human-Centered Artificial Intelligence, and from World Labs, the startup he founded in 2024, Li points to what he considers the next big unsolved problem in AI: that machines understand the physical world, not just text or flat images. The problem you want to solve. The great language models like GPT either Claude They are extraordinarily good at processing text. But the real world is not text, or at least it is not only text: it is three-dimensional, it has physics, it has geometry, it has objects that move and relate to each other. “If AI is to be truly useful, it must understand worlds, not just words,” counted Li in his statement. That is what so-called spatial intelligence, the central focus of World Labs, pursues. Unlike working with two-dimensional data, the models the startup works on are designed to perceive, generate and interact with three-dimensional environments. The idea is that an AI with spatial intelligence can reason about how things work in space, where an object is, how it moves, what will happen if it is pushed, how it fits into a larger environment, etc. What already exists and what is coming. In November of last year released Marbleits first commercial product. It is a model that generates editable and downloadable 3D environments from text, images, videos or panoramas. The user can create a virtual world, modify it, expand it and export it in different formats. The startup positions it mainly for video games, visual effects and virtual reality, or sectors with a huge demand for 3D content in which there are few tools to put them into operation. With this new round of financing, the focus also expands to robotics. And in this field, spatial intelligence is especially critical, since a robot that understands the space around it can plan actions before executing them, process different ways of completing a task or adapt to changing environments without needing to be reprogrammed for each situation. Autodesk has put 200 million at your table. It really makes perfect sense. It is the company that makes the design software used by architects, engineers, animation studios and manufacturers around the world. Your business is, by definition, thinking in three dimensions. And if Li’s models can generate and reason about 3D environments, Autodesk tools can also benefit from what the startup aims to offer. Daron Green, chief scientist at Autodesk, explained to TechCrunch that the collaboration between both companies will initially focus on entertainment and audiovisual production. The idea is that design workflows can be combined with AI-generated worlds. In this way, a user designs an object in Autodesk and places it in an environment created by World Labs, or the other way around. “You might anticipate that we will consume their models or that they will consume ours in different contexts,” Green said. You are not alone in this race. World Labs is not the only commitment to world models. Google DeepMind works on your family of Genie modelscapable of generating and simulating 3D environments. Yann LeCun, who was chief AI scientist at Meta, just founded AMI Labs with the same approach. Startups like Decart and Odyssey They also move in this spacealthough with products still in the demo or research phase. However, there are differences in their respective approaches. LeCun, for example, defends that to build true world models a completely new AI architecture will be needednot generative. Li, from World Labs, is committed to advancing with current generative models and improving from there. Cover image | World Labs and Andria Lo In Xataka | We’d love to tell you that ‘Her’ hasn’t come true and there aren’t people dating an AI, but we can’t.

In its goal of reaching the Moon in 2030, China has hit the table: it has demonstrated the potential of its technology

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The race for the human return to the Moon has officially entered a new operational phase with China successfully executing the first “lit” flight of its heavy rocket new generation: Long March-10 (LM-10). A test that has not only validated its propulsion capacity, but also certifies the safety of its future crew in the most hostile launch environment. Where. This milestone, achieved since Wenchang launch pad (Hainan), places the Chinese lunar program on a firm and technically verified trajectory to meet its strategic objective: putting humans on the lunar surface before 2030. The litmus test. The essay recently made marks a turning point, since, unlike the tests static or scale models from previous yearsthis has been a real flight with ignition. The LM-10 took off in a prototype configuration with the goal of achieving the maximum dynamic pressure (Max-Q). In aerospace engineering, Max-Q is the critical moment during the climb where the aerodynamic forces on the vehicle structure are most violent. It is the “worst scenario” possible for an emergency that could threaten the safety of the crew, and it is precisely at that moment that the abort command was sent to the Mengzhou manned ship (the successor of the Shenzhou). In Xataka In silence, China is making giant strides in a race that until now it was not leading: space. There are differences. What distinguishes this essay from those carried out by other historical powers is the sophistication of the subsequent sequence. At first, the Mengzhou capsuleseparated from the rocket and activated its escape enginesmoving away from the “danger zone” at high speed, validating its ability to save the crew in extreme aerodynamic conditions. On the other hand, as the capsule descended toward a controlled splashdown, the first stage of the LM-10 rocket was not jettisoned. For the first time in a test of these characteristics in China, the stage continued its ascent briefly and then executed a controlled descent and landed in the sea. A success. This success simultaneously validates the structural integrity under maximum stress, the compatibility of the interfaces between rocket and ship, and the partial reusability of the system, a technological advance that brings China closer to the operational efficiency of companies such as SpaceX with Artemis. All this within a context where China and the United States ‘fight’ to see who is the first to return to the Moon. A change of concept. Wenchang’s success is just the tip of the spear of a much more complex system known as the CMSA’s “Earth-Space Transportation System for Manned Lunar Flights.” This architecture moves away from the “one giant shot” concept and opts for a two-launch and orbital rendezvous scheme. The three pillars. The first of them is the Long March-10a colossus approximately 92 meters high capable of placing about 70 tons in low Earth orbit and about 27 tons in lunar transfer orbit. The most interesting thing is that its modular design and the recovery capacity of the first stage are fundamental for the economic sustainability of the program, since the entire structure is recovered for subsequent tests and missions. The second pillar is Mengzhouwhich is designed for deep space missions and is larger and more capable than the current Shenzhou. Its development, which began conceptually around 2017-2018, has culminated in a modular vehicle capable of supporting atmospheric reentry at lunar return speeds. The third is a dedicated lunar landing module known as Lanyue waiting in lunar orbit. {“videoId”:”x96edv6″,”autoplay”:false,”title”:”China’s space suit to go to the Moon”, “tag”:”China”, “duration”:”64″} Roadmap. This includes two separate launches of the LM-10: one to transport the Lanyue module and another for the crew on Mengzhou. The final objective is that both vehicles will perform a meeting maneuver and docking in lunar orbit before the taikonauts descend to the surface. Chronology of ambition. The path towards this 2026 flight has been methodical, characterized by a strategy of “short but quick steps” that began in 2013 with the first discussions and the development of prototypes. It was in 2020 when an 8-day orbital test flight was made using a Long March-5B and that validated the capsule’s heat shield and recovery systems. Finally, it was this month of February when the flight occurred with an abortion in Max-Q and recovery of the stage. If we look to the future, before the end of 2026, “zero altitude” abandonment tests and complete tests of the Lanyue lunar landing module are expected, all aimed at meeting the 2030 launch window. A duel of titans. The comparison between the United States and China is practically mandatory in these cases. While the United States relies on the raw power of the SLS Block 1a 98-meter and disposable colossus, China is committed to operational efficiency with the Long March-10. And although the Chinese rocket is a little less powerful, its design incorporates a reusable first stage, which reduces costs and is closer to the sustainability model that SpaceX has popularized in the West, contrasting with the immense expense per launch of the American system. On the other hand, NASA has opted for a hybrid and complex scheme: it launches the crew in the Orion capsule with the government SLS rocket, and then docks in lunar orbit with the Starship HLSa commercial lander from SpaceX. In contrast, China has chosen a more pragmatic “distributed architecture”: it will carry out two separate launches of the LM-10, one for the Lanyue lunar landing module and another for the crew on the Mengzhou spacecraft, which will meet directly in lunar orbit. In Xataka Starlink’s dominance in space begins to move: another company already has permission for a constellation of 4,000 satellites On their calendars. The US program, depending on multiple commercial suppliers and disruptive technologies (such as Starship’s in-orbit refueling), faces highly complex logistics that have accumulated delays for the Artemis III mission. In contrast, China’s centralized and vertical model maintains a firm and predictable roadmap to the year 2030. In this way, we are seeing two titanic powers with two different … Read more

Sprout has been designed with another goal in mind

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Humanoid robotics has been feeding the same promise for years: the more a robot resembles a person, the more useful and more natural it will be at our side. That is why we have learned to associate humanoids with increasingly stylized bodies, increasingly realistic movements, and an aesthetic that seeks to erase the border between machine and assistant. However, this race towards similarity is not the only possible direction. In this context, proposals have begun to appear with a different objective: to design robots that do not try to impress with their strength or agility, but rather with their ability to be safe and approachable. the robot. Fauna Robotics has introduced Sprouta humanoid robot with a different approach than the one that usually dominates the conversation. Instead of promising a “person robot,” the company insists on something more concrete: building a humanoid capable of being close to people and functioning safely in human spaces. His idea is that the future of robotics is not only played in the factory, but in homes, schools, offices and places of passage, where interaction matters as much as mechanical capacity. And there, they maintain, the resemblance to a human being is not everything: to earn a place in that environment, Sprout needs to move with control, avoid dangerous situations and communicate in an understandable way, with gestures and signals that invite you to approach, not to move away. Soft, human-scale design. Sprout measures 107cm and weighs 22.7kg, compact enough for one person to move and handle. That scale is not accidental. Fauna Robotics describes it as a lightweight, quiet and soft-touch robot, with a padded exterior that prioritizes safe contact. The company ensures that the design avoids pinch points and sharp edges, two important details when a robot shares space with humans. And he finishes the idea with an unusual decision in this category: an expressive face, with articulated eyebrows and a facial LED matrix that is not there to decorate, but to communicate intention. In detail. The automaton has 29 degrees of freedom, that is, a high number of possible joints and movements to walk and manipulate objects. He also builds a computer based on NVIDIA Jetson AGX Orin with 64 GB of memory and a 1 TB SSD, designed to execute perception and control on board. In sensors, it includes stereoscopic vision, several depth sensors to measure distances and an inertial sensor in the torso for orientation and balance. In locomotion we talk about legs with 5 degrees of freedom and low-impact feet. The battery is interchangeable, with between 3 and 3.5 hours of autonomy. Instead of delivering a body and letting the buyer figure out the rest, the company says its humanoid already integrates ready-made movement, control, and social behaviors, as well as perception, navigation, and mapping to operate in the physical world. To this he adds conversation guided by interaction and dynamic expressions, which are the basis of his “social” approach. It is a way to lower the entry bar: if the robot already moves, orients itself and reacts, the developer’s job becomes the interesting one, creating applications, testing voice interfaces or exploring new forms of human-robot interaction. Designed for others to build on top of. Fauna Robotics’ strategy with Sprout is, for now, less “home robot” and more “tool for creating robots.” The company first offers it as a platform for developers, researchers and universities, a type of buyer who often ends up stuck in the same bottleneck: having a good idea, but not the budget or time to build a complete humanoid. Sprout seeks to resolve that starting point. Fauna presents it as a modular canvas on which to develop manipulation, task planning and interaction, with an almost community approach: someone solves a problem, shares it, and the next team can focus on the next step. A new category? If we look at the most well-known humanoids, it is quick to see that shape is only part of the story. Atlas, from Boston Dynamics, stands out for its electric version aimed at industrial uses. Optimusfrom Tesla, moves in the field of general purpose, with the idea of ​​taking on repetitive or unsafe tasks. Figure 02from Figure AI, also targets industry and commercial workforce, with tests at a BMW plant. In China, Unitree pushes democratization with the G1, a low-priced humanoid aimed at education and research, while Walker S2, from UBTECH, It is already being tested on the border with Vietnam. In Europe, Neo (Beta), from 1Xrepresents the ambition of a safer home robot. Sprout falls close to that last idea. Price and availability. Sprout does not present itself as a consumer robot, and that also shows in how it is offered. Fauna Robotics frames it within an edition aimed at creators and developers (Creator Edition). As for the price, it is offered for $50,000. From there, it is advisable not to fill in the gaps: the company does not detail a public calendar for mass deliveries nor does it propose, for now, a deployment for homes in the style of an appliance. Images | Wildlife Robotics In Xataka | Google had a practically unsolvable dilemma with AI and its search engine. So you have chosen to create a subscription

The key is not to have a goal but a path

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We face the end of the year and arrive at January full of energy and new purposes for the new year. I’m sorry to be a little “Grinch” in this matter, but the problem is that a large part of those purposes deflate a few weeks later, often before the end of February. Gyms and language academies are witnesses of this. How do those people who manage to maintain their goals for months and even years do it? The answer is that they do not depend on a heroic willpowerbut rather a system that turns purpose into a routine that you want to repeat. The data from a study carried out by researchers from the University of Stockholm and Linköping (Sweden) with 200 people leaves no room for doubt: 77% of the participants fulfilled their resolutions in the first week, 55% kept it a month later and only 40% of the participants remained faithful to their commitment after six months. Other analyzes show that up to 43% of resolutions have been broken by the second week of February. Why resolutions wither in February Like a deciduous tree, the motivational effect of New Year’s resolutions loses its initial momentum in a maximum of five weeks. Science speaks of “fresh start effect“, in which dates like January 1 act as a “clean slate”, a new stage that motivates us to initiate a change. That initial emotion serves as an initial impulse, but it is not enough when the novelty wears off and the daily routine returns. Many times, resolutions are seen as a test of willpower: if you stumble once, you feel like you have failed completely, and that brings guilt and abandonment. Studies at the University of Scranton indicate that 46% of people with a clear purpose feel successful after six months, but only 4% achieve it without setting that well-defined objective, which shows that having a clear goal helps, but it is not everything. A recent study from Cornell University conducted with 2,000 adults in the United States followed their New Year’s resolutions for a year and looked at whether the motivation to achieve them came from external reasons (extrinsic motivation) or because they really liked doing it every day (intrinsic motivation). On average, external motivation obtained higher scores (6.27 out of 7) than internal motivation (5.41 out of 7). That is, external factors had more direct impact about motivation than your own willpower. However, the Cornell researchers discovered something that did make a difference: internal motivation consistently predicted continuity success at all measurement points of the research year, while the external one did not have much influence. Those who completed their goal had 5.73 in internal motivation compared to 5.18 for those who did not. Each extra point increased the chances of success in the goal by 1.60 times. The important thing is not the destination, it is the path As and as I pointed out writer and leadership coach Tiffany Toombs on FastCompanythe most productive people do not see purpose as a fixed and distant goal, but as something flexible to create habits that fit into their daily lives and that work for them. pleasant to carry out. Instead of just obsessing about the bottom line, like “saving more money,” they look for small, daily actions that lead to an identity goal such as “becoming more responsible with money.” To help you on that path, James Clear, author of the bestselling ‘Atomic habits‘, gives some keys to convert those purposes into habits integrated into your routine daily that no longer require effort to make, but rather become almost a reward. For example, choose exercises in which, far from suffering, you have fun. You hate monotonous weights, so sign up for Zumba or a guided class, which will make you return to the gym with enthusiasm. If pedaling for a long time seems boring, put on a cool audiobook or a podcast while you train. The key, according to Clear, is finding the system that allows you maintain consistency through activators that lead you to fulfill that habit. The same applies to eating better or saving: integrating small changes into your daily life that provide you immediate satisfaction. If you have to use willpower, it means that you have not integrated enough incentives to turn that purpose into a routine and you are among that 43% who will abandon their purpose in mid-February. In Xataka | You don’t need more hours in the day. All you need is to understand how the brain works to work better with less. Image | Unsplash (Tim Mossholder)

Europe has left a crack open to using combustion engines in 2035. It is a goal pass to China

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The European Commission has spoken. Now it is up to the rest of the European organizations to buy the proposal. Everything indicates that this will be the case and that we will have a relaxation in emissions standards in 2035. One that points to very expensive combustion engines and highly electrified options. Options in which China leads. The approved. First, we must start with what has been approved. It is the proposal of the European Commission regarding the emissions targets that manufacturers must meet in 2035. This points to a slight reduction. With the 100% reduction in carbon emissions that was approved, the combustion engine was almost doomed. Why does an electric car have less autonomy than advertised? And it is that only those moved by efuel they could work if they were carbon neutral. With the changes, the average emissions of the manufacturers’ fleet must move in 11 gr/km of CO2. These are figures almost impossible to achieve for any car that is not purely electric. Therefore, most options involve selling the vast majority of electric vehicles and a touch of combustion. Expensive and exceptional. Combustion cars “will become the Swiss luxury watches of the automotive industry.” The words are by Matthias Schmidta market analyst who points out that the rule is nothing more than a “Porsche amendment.” This explains the exceptional nature of the combustion cars that will be sold on the street. And the use of “green steel” and synthetic fuel, produced in Europe, will be key to receiving emissions bonuses that increase the average CO2 allowed to each manufacturer. Requirements that, presumably, will make the cost of the car even more expensivewhich will have to be passed on to the end customer. That leads to two paths. One, as we say, is to offer a few very expensive combustion cars as a status symbol. The second aims to sell exclusively electric cars. Or, if necessary, a type of plug-in hybrid called extended range electric. A type in which, again, China has the lead. The extended range. The extended range electric car is a type of car designed by and to be used as an electric car. The objective is for it to be supported by a combustion engine but only to be used as an emergency measure. Mazda sold us the MX-30 R-EV using this name but the cars of 2035 will have to go one step further. And it is that the SUV electric Mazda plug-in hybrid It already approves 21 gr/km of CO2, a figure that will skyrocket when the new approval criteria come in. The alternative for those looking for a car with a combustion engine for peace of mind or because their needs demand it will have to go for a type of extended range electric vehicle forgotten in Europe. This extended range is what was already proposed with the BMW i3 REX. The BMW electric car, ahead of its time, did have a combustion engine but it barely had 38 HP and was supported by a 9-liter tank. Because the fundamental idea is that the engine would act as an electrical generator in emergency conditions, when the battery had run out and there was no outlet nearby. China, always China. This type of car is one of the few with combustion engines that aspire to be relatively affordable. Right now, in the Spanish market, the best example is the Leapmotor C10 REEV. This car, as in the case of Mazda, has a 50-liter tank for an 88 HP engine, but its usage pattern has allowed it to approve 0.4 l/100 km of consumption and 10 g/km of CO2, a real rarity in the market. Given this expected increase in the approved emissions figures, this type of car will have no choice but to expand the battery (in the Leapmotor it is only 28.4 kWh) and reduce the gasoline tank. While maintaining its operation as a pure electric vehicle and, if necessary, as a series hybrid. This technology is used by many cars in China. In this list you have the most purchasedamong which are cars of all price ranges. We find cars like himLi Auto L6 EREV with 212 kilometers of electric autonomy but that extends over a thousand thanks to its combustion engines or the Aito M9powered by Huawei. BYD with its YangWang U8 It shows that there is a market for all types of options. The series hybrid. If the Leapmotor manages to reduce its consumption and emissions to such low figures with a 50-liter tank, it is largely because of how it uses its technology. China has specialized in serial hybrids, a small rarity in Europe. Toyota, for example, combines the technology with the parallel hybrid, where the combustion engine can drive the wheels at the same time as the electric motor but separately. In a series hybridthe gasoline engine works as an electrical generator that provides electricity to the battery. The electric motors draw power from this. And the hybrids that are coming to us from China, both plug-in and the Omoda 9 SHSas non-pluggable, as the Omoda 5 SHS-Happly this system to try to improve their efficiency. What they achieve is that the combustion engine operates at a speed range that is considered optimal, where they deliver the greatest power with the lowest possible consumption. When more power is needed, the car can deliver it and increase the engine revolutions but they try by all means to prevent this from happening. The driver, for his part, has the feel of an electric car, with less noise and vibrations, which is a plus in comfort. One more time. As we say, these cars will have to increase their electric range and reduce their gasoline tanks to operate very punctually with this system and reduce emissions, but again China is one step ahead of Europe in this technology. Leaving the door open for this configuration to be an interesting alternative to have a minimum safety net with … Read more

China gives the green light to the first level 3 autonomous cars. Their goal: to be leaders in 2035

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China has given the green light to its first two passenger vehicles with capacity level 3 autonomous driving (L3). This will allow drivers to let go of the steering wheel in certain circumstances. The Ministry of Industry and Information Technology (MIIT) announced this Monday that Changan Automobile and BAIC have received authorization to manufacture electric cars with this technology, although with geographical and speed limitations. What level 3 really means. Most current driving assistance systems in smart cars are classified as L2 or L2+, which force the driver to keep their hands on the wheel at all times. Level 3, considered “hands-off” according to the criteria of the international organization SAE, allows the vehicle to assume all dynamic driving tasks under specific conditions. However, the driver must remain alert and prepared to intervene when necessary. To put ourselves in context, level 5 would represent total autonomy, without the need for human intervention under any circumstances. The restrictions of the approved models. The model from Changan, a state-owned manufacturer based in Chongqing, will be able to navigate autonomously through urban streets and traffic at a maximum speed of 50 km/h when its assistance system is activated. For its part, the BAIC model under its Arcfox brand (the Alpha S sedan) is authorized to travel on highways and expressways at up to 80 km/h. Both vehicles, which are pure electric, will only be able to operate in specific areas: the Changan Deepal SL03 will be able to do so in certain sections of Chongqing, while the Arcfox Alpha S in specific sections of highways in Beijing that connect with the airports. Why China is accelerating now. The country is treating autonomous driving as another strategic objective, just as it did when promoting its electric vehicle industry, which is so popular abroad. The authorities have set the goal of making the country a leader in the sector by 2035. According to Zhang Yongweigeneral secretary of China EV100, two out of every three new cars sold in China this year will have Level 2 or higher autonomous driving capability. “The approvals show that the authorities are willing to deregulate the market,” says Phate Zhang, founder of CnEVPost, who anticipates that “officials are likely to take a phased approach to distributing more manufacturing licenses to other manufacturers.” The industry was already prepared. According to SCMP, several premium manufacturers have been with models ready to comply with level 3 regulations for months. Geely’s Zeekr and Seres, backed by Huawei Technologies, have designed and developed intelligent vehicles considered semi-autonomous that would comply with L3 rules, according to previous announcements. Andrew Fan, CFO of Hesai Group, the world’s largest manufacturer of lidar sensors, declared reported last month that “preparations were well underway in the Chinese auto industry for the next generation of autonomous driving capabilities, even before Beijing cleared the regulatory path.” The cost of the advanced lidar sensors needed for Level 3 ranges from $500 to $1,000 per unit, with demand rising as major Chinese manufacturers accelerate development of autonomous vehicles. Where is China compared to the West. Mercedes-Benz seems to have the advantage in this area: its Level 3 Drive Pilot system was approved by German authorities at the beginning of the year to operate at speeds of up to 95 km/h on the motorway network, marking the fastest certified system for conditional autonomous driving in a production vehicle, according to the company. Tesla continues to update its Full Self Driving system, which operates at an advanced level 2. Meanwhile, manufacturers like BMW and BYD also have models in testing for Level 3 driver assistance in Chinese cities like Beijing. What’s coming now. The MIIT has confirmed which will work with other authorities to supervise these vehicles while promoting the development of this technology in China. The two manufacturers will use the models to carry out pilot programs in assigned locations. Although the ministry has not specified when they will hit the market, technically manufacturers can begin assembling the models once they receive the green light. In addition to these two state-owned manufacturers, several robotaxis companies such as Baidu’s Apollo Go, Pony AI and WeRide They are already leading the deployment of driverless vehicles worldwide, operating at level 4, which does not require a human driver. Cover image | Wikipedia In Xataka | For the first time in 88 years, Volkswagen has crossed a red line: closing a factory in Germany

Netflix decided to kill sending content to the TV. Apple has taken advantage of the gap to score a great goal

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Netflix decided to start the month of December by eliminating one of the most basic and useful functions of its mobile application: the ability to send content (cast) from our smartphone to any television with Android TV either Google TV. An essential tool to find content quickly on your mobile and send it to your TV. What we did not expect is that, in less than two weeks, Apple has responded indirectly by bringing its Apple TV for Android the feature that Netflix has decided to kill. Better late. Goodbye to Netflix Cast. It was easy to realize this. At home I have a Google Chromecast with Google TV and a Google Nest. Every time I wanted to send content from my mobile to my television… only the Google Nest appeared. That’s when I read the confirmation of the disaster: Netflix had loaded the Cast without any explanation. The exceptions. In the Netflix support page An exception is specified to continue using the Cast function: having a third-generation or earlier Chromecast device. In other words, versions without remote control. The second, have a plan without ads. If you don’t pay, you can’t send content to TV. Cast icon on Apple TV, make a wish. Given the gap in the squad, great goal. Since yesterday, a couple of weeks after Netflix’s move, the Apple TV application for Android is compatible with Google Cast, a function that was missing since the launch of the app at the beginning of the year on the rival platform. It is necessary to have the app updated to version 2.2 to be able to send our content to the television on any Chromecast. Apple being less Apple. Apple has had to respond to Netflix in the face of an undeniable reality: its service is a minority within the ecosystem of streaming platforms. Netflix is ​​the absolute king, followed by Prime Video and Disney+. And one of the reasons was one that we know quite well: using Apple is using a product tied to its ecosystem. Despite this, Apple TV+ is dangerously close to HBO Max, about to take fourth place in the ranking, according to data from JustWatch. In this context, the introduction of Cast goes beyond a minor function: It is a surrender (more) from Apple towards a more open ecosystem. And this works in your favor Allows Apple TV+ to sneak into homes with Android phones and tablets Reduces friction of use Reduce dependence on Apple’s hardware ecosystem What are you doing to win in Spain. Apple’s strategy to continue growing in Spain is clear: swim against the current with a strategy that does not introduce advertising in the app, a small catalog but with a large presence of proposals (expensive) and own and, now, simplifying the use of its app to reduce friction that had been artificially introduced. It won’t be enough. We told it a year ago and the numbers reaffirm it: there is hardly any war in streamingsince most of the content is converging on Netflix. The post-pandemic stage forced platforms to fight to distinguish themselves, while Netflix went public at the end of December 2024 at pre-pandemic levels. Be that as it may, given the growth of Apple TV in 2025, fight head to head against an HBO focused on quality It is great news for the company. Image | Xataka In Xataka | The best streaming platforms 2025 | Comparison of Disney+, Netflix, HBO Max, Prime Video, Movistar Plus+, Filmin, Apple TV, SkyShowtime and Rakuten TV: catalog, functions and prices

Meta’s star AI scientist plans to leave the company, according to the FT. The new goal is eating the old goal.

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The head of artificial intelligence at Meta, Yann LeCun, would be preparing to leave the company to found his own startup, according to inform Financial Times. The departure of the prestigious researcher, winner of the Turing Award and considered one of the fathers of modern AI, symbolizes the radical change that Mark Zuckerberg is giving to Meta’s strategy around AI. The changing of the guard. LeCun, who led the Fundamental AI Research Laboratory (FAIR) since 2013, is now in an uncomfortable position within Meta. This summer, Zuckerberg hired Alexander Wang28, to lead a new “superintelligence” team, paying $14.3 billion to take 49% of Scale AI, the data labeling startup Wang had founded. As a result of this restructuring, LeCun went from reporting to chief product officer Chris Cox to reporting to Wang, according to account Financial Times. A philosophical divorce. The tension is not only organizational, but conceptual. LeCun has long publicly defended that the language models on which Zuckerberg has focused his strategy are “useful” but will never be able to reason or plan like humans. His bet from FAIR has been different: the so-called “world models”AI systems that learn from the physical environment through videos and spatial data, not just language. A path that, according to LeCun himself, could take a decade to bear fruit. Meta’s problems with AI. Zuckerberg’s reorganization comes after several setbacks. The launch of Call 4 It has not gone as the company would have liked, falling below the most advanced proposals from OpenAI, Google and Anthropic. Additionally, Meta AI, the company’s chatbot, has also not gained traction among users. Meanwhile, Zuckerberg has hired dozens of engineers and competing researchers with pay packages of up to $100 million, creating a dedicated team called TBD Lab to accelerate the development of new versions of its language models. The cost of pivoting. The shift toward practical AI appears to have generated internal chaos. Sources cited by TechCrunch In August they revealed the frustration of new hires when facing the bureaucracy of a large company, while the previous generative AI team saw its scope reduced. In October, Meta laid off 600 people of its AI research unit to cut costs and accelerate product launches. Also in May Joelle Pineau left the companyvice president of AI research, who joined Canadian startup Cohere. What’s coming now. According to two sources Cited by the Financial Times, LeCun’s new project will focus on continuing his work on world models, and he has already started talks to raise funding. His departure, scheduled for the coming months, represents more than the departure of a brilliant scientist: it is confirmation that Meta’s old long-term focus has been relegated by the urgency of competing in the short term with more practical solutions. As Wall Street pressures Zuckerberg to justify an investment in AI that could exceed $100 billion In 2025, the company would be losing one of its most recognized brains along the way. Cover image | Goal and AFP In Xataka | AI was supposed to reduce costs and reduce staff. The Coca-Cola ad illustrates how much we were wrong

Once again, goal does not have the best AI, but it is clearer than anyone the best business plan to make it profitable

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Mark Zuckerberg He was not happy with the advances in his companyso spent the whole summer signing the best talents for millionaire figures with the aim of creating a superintelligence. We do not know if you will get it, what we do know is that, although the goal is lagging in the AI ​​career, it is advanced in something more important: How to make it profitable. Zuckerberg’s last play is that all chats and interactions with goal AI will use to offer us personalized ads. December 16. It is the date on which Meta will start using the conversations that its users have with goal AI to customize ads and the content that will appear on its different platforms. This includes, not only conversations with your chatbot inside apps such as Instagram or WhatsApp, if you have a target Ray-Ban, all the interactions you have with the voice assistant will also be used. If, for example, we ask Meta AI a question about how to take care of a plant, it will show us advertisements of related items and suggest plants publications. Mandatory. In This article on your blogMeta states that the user still has control and that he can adjust the content and ads that he sees from the ‘advertisement preferences’ section. What they do not say is that there will be no way to prevent chats from being used to customize the ads and content that we will see in the feed. The only way to avoid it is not to use the finish line. Of course, the company states that it will not use sensitive information such as religious beliefs, sexual orientation, political, health or racial issues. Another approach. While other chatbots like chatgpt, claude or gemini They use conversations as training data For their AI, in the finish line they bet on an approach aimed at business. The great technology, They are dilapidating billions in AI. Google, Amazon and Microsoft are amortizing investment with their cloud services, while Meta relies on their strongest business: advertising. In the second quarter of the year Your income increased by 22%largely thanks to its advertising services. Risks. In statements a FortuneEmily Bender, co -author of I study the dangers of “stochastic parrots” On language models, he affirms that Meta is crossing a dangerous line: “It is customization disguise (…) The following obvious concern is whether Chatbot himself will begin to incite us to reveal information.” In addition, alert about the illusion of privacy that we feel when talking to a chatbot and that can lead us to reveal sensitive information that we would never say in public. Image | Goal In Xataka | Zuckerberg is willing to lose “hundreds of billions” of dollars in AI: not investing them would be worse for finishing

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