Teslas

AI agents are promising. But as in Tesla’s FSD, you better not take your hands from the steering wheel

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AI agents are one of the great trends of AI This year. There are many expectations put in these models of AI capable of completing a task from beginning to end for us and almost if our intervention. And yet, one thing seems clear: for the moment it will be better “not to remove your hands from the steering wheel” and watch every step they take to prevent the AI ​​agent from being starring. Autonomy and trust. The Tesla driving assistance system –badly called Total autonomous driving (FSD For its acronym in English) – it requires that the user trust him to get carried away and that the car takes us from a point of origin to a destination without human intervention. IA agents propose a similar idea, to complete a task from beginning to end autonomously, but for this we must trust that they are able to do so. decision making. The agents will require huge data amounts and access to updated sources of information to analyze such data and then make decisions. In the past we have seen how AI models are especially good at the time of Summarize concrete information Or to draw conclusions from limited data, which is very useful for that decision making. Learn from mistakes. Tesla cars receive FSD frequent updates to improve their behavior. These updates are nourished by the data collected by the company when your FSD system is used, what allows you to polish the service. Something similar is expected to happen with AI agents, which will improve – especially at the beginning – when they are updated and “learn from their mistakes” when processing user requests. AI and companies agents. These types of solutions will be especially striking in companies that can thus automate processes that previously required total or partial human intervention. And precisely that is why this type of integration must be done in a very controlled way, because let’s admit it: we cannot trust 100% of the current AI models. Tesla knows that FSD is imperfect. It happens of course in the FSD of Tesla, which since its inception has been involved in various accidents, some of them with fatalities. One of the most recent was notified in October 2024: the low visibility made a TESLA with FSD activated a few months ago will run a pedestrian. Tesla has been criticized on numerous occasions of misleading advertising and of save the maximum on radars and sensors To achieve greater profit margin. AI agents can be equally dangerous if they are used incorrectly and “without having their hands in the steering wheel.” Users and companies that begin to use them must keep these risks very present. The hands behind the wheel, please. The conclusion was already clear in the Tesla FSD system, but also in the case of agents. They have barely done only appear on the market shyly, but everything indicates that this is one of the great trends of AI by 2025. And the problem is that the models of AI are imperfect and therefore can make mistakes, but it is that in the agents of that error it will increase. That they tell Air Canada, who had to return money to a passenger which obtained an erroneous response from the airline chatbot. Or to Chevrolet, whose chatbot was “deceived” by a user who achieved Buy one of your cars for a dollar. Domino effect. The accumulation of errors in sequential tasks is a fundamental problem in current AI models. We could say that it is something like the domino effect or the compound error: an error in an initial action distorts all subsequent decisions, generating results increasingly far from what expected. Imagine that in applications such as finance, medicine or logistics: consequences could be terrible. Solution: Constant supervision. To avoid this problem there are several proposed solutions. One of them is the establishment of check points. Thus, at the end of each subtarte the system-and ideally, a human user, what is called Human-In-The-Loop (Hitl)-should verify that everything is going well. It is also possible to minimize the risk using redundant systems – for example, using different models of AI so that the AI ​​agent uses them separately – or taking advantage of the information of the standard limits: if an intermediate fact thrown by an AI agent is too diverted from what is expected, we should rebound that process. And for the moment, spent (very) bounded. We are in a preliminary phase, and AI agents are “learning to drive alone”, so to speak. And the best way they learn is to go step by step and always starting with relatively simple and very limited scenarios. Thus, the ideal is to try to apply them to very specific cases and with a limited and known casuistry, so that their answers are as precise. Image | Erik Witsoe In Xataka | Microsoft is very important that the agents of AI are the great ball of the year. And is being reorganized to achieve it

Between Elon Musk controversies and very low sales, Tesla’s actions only find one: the sinking

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We are just two months from 2025 and Tesla is living an extremely complicated moment. In 2024 he did not get his sales to grow, an anomaly for the company. And 2025 does not advance well. At the moment, we have the performance of two months but the data is extremely bad in all markets. And his actions are being resented. More than $ 100. Did you have 10 shares of Tesla exactly one month ago? We have bad news. In the last four weeks its value has gone from just over $ 3,700 to about $ 2,700. Yes, for each of them, The value of the action has fallen $ 100. It is a fall that some analysts justify referring to Cult stock. That is, an action that costs more for what it promises to be worth in the future than for what it really is worth. These are actions that are based on future promises or financing rounds that promise to be the fundamental pillar to carry out groundbreaking products. In the case of Tesla, the action of the car company has always understood as a good example of this type of case. For years, the company has only given losses And it has been sustained by the support of some investors that They have blindly believed in Elon Musk. After much sustaining they have proven that the company could become profitable. A vicious circle. In October 2024, Tesla’s action exceeded a little dollars. Today it costs a little less than 270 dollars but we have an excessive growth that came to place the value of the action on the border of the $ 480. It happened in mid -December 2024 as a result of the promise of a robotaxi that will be in operation (if fulfilled) before 2027. However, the balloon has been undoing in the last two and a half months to the point that the action has lost 20% of its value in the last month. The diverse fall may be due to the aforementioned market correction but sales are not accompanying. How much is correction and how much of bad results in the fall of the actions? It is difficult to know. The truth is that, indeed, we have both data at the same time, so photography for the company is really bad. Sales in China. Tesla did not come so few cars in China since August 2022. The data is collected Reuters And they have contributed them China passenger cars association. They indicate that Tesla has delivered in February 30,688, 49% less than in the same month of February 2025. The figure is really low since January was not good and, despite everything, he delivered 63,238 electric vehicles. The figure is even more dramatic if we take into account that Byd (who also sells plug -in hybrids) placed 318,233 units in the market, growing more than 161% compared to the same month last year. Sales in Europe. After China, the largest electric car market is Europe. And the company’s performance in what we have been from the year is also being bad. As you can compare in the upper graph only in Germany, France and the United Kingdom, the company has managed to exceed 1,000 units sold last February when last year did it in all registered markets. At this point of the year, Tesla had sold 46,243 cars in the European market (adding United Kingdom and the Nordic countries) in 2024. We still do not have consolidated data of the entire market but the data in the main markets are the following between February 2024 and 2025: Germany: -76% France: -26% Norway: -48% Denmark: -53% Portugal: -52% Sweden: -42% Only Spain remains in the annual difference in numbers similar to those of the previous year (although the month of January was catastrophic) and the United Kingdom is the only country in which Tesla grows in February although it also lost ground in January of this year. Sales in the United States. In the United States, tracking sales is more complicated since the company does not offer specific data by regions. In Europe and in China, country data can be traced by country but in the United States the delivery of the data progresses. The last ones we have refer to the end of 2024. When it ended last year, the registrations in California (the main market of the country) of Tesla had been reduced, at least 8% in the last quarter of the year and 12% in the global of the year. According to the calculations collected by Cleantechnicain California, 50,000 units of the company were stopped between the sum of Tesla Model 3 and Model Y. Click on the image to go to the original Reddit thread The rivals squeeze. To show the data collected in Germany. The German country is the main European market for the electric car and the lack of purchase aids should be a commercial advantage for Tesla, if we follow the logic that Elon Musk himself must be applying in the United States. However, taking as a reference the data last year and those that we have of 2025, most companies have grown up in Electric market share In the country. The only ones who lose are Porsche, Mercedes, Audi … and Tesla. But the fall of the latter is huge since it has gone from representing more than 20% of sales to be below 5% market share. In China the news is, again, very bad since Byd is squeezing to the point of give away your driving aid functions to continue adding values ​​added to the purchase. A strategy with which, in addition, Tesla hoped to earn (a lot) money. Will it turn around? Logic says yes. It is very likely that these sales are influenced by the arrival of the renewed Tesla Model and. In Shanghai, the factory had to stop to adapt the lines of assembly, which has had to damage sales … Read more

One of Tesla’s parents points to the most recurring error of electric cars

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When maximizing the Autonomy of electric carsthere are two very clearly differentiated currents. The first commitment to brute force, by gigantic batteries or the improvement of their density to get a higher performance. The second option is what is committed to better aerodynamic efficiency and engines. In this last route we have found companies like Mazda, who They were fully positioned against of the larger batteries Since, according to them, they suppose an overweight that not only must move, the dynamics of the vehicle also worsen. Mercedes, although in some of his cars he has huge batteries, also explained the day we got into Spectacular Mercedes Vision EQXX that its strategy involves improving the efficiency of engines and aerodynamics. In fact, next Electric Mercedes It should be the best expression of the latter. Now it has been the CEO of Lucid Air, one of the parents of Tesla Model S, who has positioned himself in this current of thought. The company aspires to fight for Tesla for offering the most efficient electric car in the market and its CEO is clear: “Many electric cars are why.” A clear bet to consume less The words of Peter Rawlinson, CEO of Lucid Air, are aimed at the concept of the electric car itself, which explains in an interview with Coach. According to Rawlinson, so far manufacturers have focused on offering electric cars as a way to reduce pollutants of CO2. That has forced them to include huge batteries if they want to achieve the greatest possible autonomy with the least effort. But that, for the Lucid Air CEO, is a wrong approach. Your approach walks in the direction of betting on the electric car to get “a better car” And not an electric solution of the same thing we already have. And that inevitably goes through efficiency. “Not only by making a car more efficient, it is using less energy in the world, but is also using less battery and mineral resources,” he explains in his interview. “He Lucid Air Pure is literally the most energetically efficient car in the world. It uses less energy to go from A B, whatever its fuel, than any mass production car in the 130 years of car history, “he defends. To defend these data, Rawlinson is based on the MPGE calculation that is done in the United States. To compare the consumption of electric cars with gasoline, it compares how many miles would be able to travel an electric car if you used a gallon of gasoline (3,785 liters). In Car and Driver They also talk about Lucid Air Pure as the car with greater autonomy they have tried. The point is that for the Lucid Air CEO this has huge advantages. First because “less minerals and resources are used (…) that means less lithium mines, less cobalt mining, less nickel” so, as we said, it is not only a matter of CO2. That also because if you need less electricity, it will produce a lower carbon footprint. But, in addition, it assumes the Mazda approach. If the car is less heavy it is more agile and is more comfortable and pleasant to drive. It also specifies that it is a clear improvement in front of the gasoline car. Defends that a more efficient car is irremediable than present Worst benefits But this is not so with an electric car. If the latter manages to put smaller batteries, he wins in dynamism while maintaining benefits that leave behind the car moved by fossil fuels. All this add reasons to leave us before many electric cars that “are why.” They have “very poor” autonomies because they have focused on reducing car costs to the maximum and, among them, the size of the batteries. However, without adequate technology, these batteries are removed less than they could deliver. If engines efficiency would be improved, those same cars could travel many more kilometers. Rawlinson points out that this is one of the reasons why electric car sales are stagnant in the United States: “At this time, we do not have a safe infrastructure and we do not have enough cars with large autonomies. That is why it is a horrible experience.” Words that sound to us in Spain and that, luckily, we are leaving behind. Photo | Lucid In Xataka | A Chinese electric car claims to have 1,000 km of autonomy. Mercedes has disassembled one with a very clear idea

Porsche and Tesla’s perfect mixture for a fraction of its price

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Xiaomi has revealed all the details of the new Xiaomi Su7 Ultra. He has done it with a presentation where he has revealed his superiority, on the role, in front of Tesla and Porsche in the flotation line of each of them. Although we already knew much of the details of the new Xiaomi Su7 Ultrathe sporty and extreme version From the Xiaomi electric car, there were still details to know how the interior or functions that have finally ended up being unveiled. The presentation has focused on presenting all the capabilities of the vehicle but, also, on launching a message to Porsche and Tesla. Xiaomi is here and has created the electric car faster and the one that has best autonomous driving, seemed to shout an event presented, of course, by Lei Jun. Missiles to the flotation line We already knew that the Xiaomi Su7 Ultra was fast. Very fast, in fact, because the company was recently made with the fastest turn in Nürburgring Nordschlife. A milestone in which they already showed that their electric car wanted to set the pattern from now on. And in his presentation in society, Xiaomi has confirmed that the ultra has taken another record to one of its greatest rivals. Now, the Shanghai circuit has a new king, with the Xiaomi Su7 ultra completing the turn in 2’09 “944, limiting in almost second and a half the record of the Porsche Taycan Turbo GT, which signed 2’11” 28. The record serves Xiaomi to show off in front of the competition, showing a message on social networks of the Germans where they congratulate them for the registered time and encourage them to continue fighting face to face to obtain the best results. To get the best records, Xiaomi will have a car that is summarized in the following figures compared to the Porsche Taycan Turbo GT Xiaomi Su7 Ultra Porsche Taycan Turbo GT 0 to 100 km/h 1.98 seconds 2.0 seconds 0 to 200 km/h 5.86 seconds 6.4 seconds Point speed 350 km/h 305 km/h power 1,526 hp 1,033 hp Motor torque 1,770 nm 1,240 nm Time in the Shanghai circuit 2’09 “944 2’11 “28 Price 629,900 Chinese yuan (82,937.30 euros) 1,998,000 Chinese yuan (263046.69 euros) The car also arrives with a huge amount of chucheías inside (unknown so far) and in other technical issues. For example, it has Pirelli P zero tires to get the best possible circuit performance and the battery floor is covered by a bullet resistant mineral plate. To demonstrate their effectiveness, in Xiaomi they have shown a video in which they see a sphere of this mineral from several floors of height and bounces on the ground without suffering a single scratch. In addition, a logo finished in 24 carat gold and carbon fiber is included, in the seats you can play with different colors of upholstery with yellow, black and red. In addition, they are electric and have massage function. In the same way, reference has been made to its infotainment system that stands out for its total compatibility with Harmonyos and a double wireless load for mobile phones at 50W. Outside they include rear and rear spoiler finished in carbon fiber to lighten the set and brakes are signed by Brembo and are carboceramic. All available colors have also been presented (yellow and white metallic green, silver and black payment). The black color has also surprised to be extremely dark. In the retransmission it gave the feeling of being deeper than usual. But, in addition, Xiaomi has challenged Tesla directly by demonstrating his autonomous driving systems. This part has begun with a video in which a car seeks for itself a battery parking inside a parking lot. During his journey he behaved with total naturalness, with very little robotized movements. In addition, I dodged people and other vehicles before parking completely. Subsequently, he has demonstrated the ability to maneuver for himself in a very narrow space, drawing the vehicle from an online parking lot where he barely had a few centimeters in front and behind. What has caught the attention, yes, is your system to detect that the driver is Stepped by mistake the accelerator pedal. With a arrested mule, it has accelerated thoroughly until it stops completely right in front of the obstacle despite the fact that the driver fully kept his foot in the accelerator. A system that is also launched if, for example, it detects that we are going to collide with a motorcycle or a column. All this due to a fraction of the price of Porsche Taycan Turbo GT or, in the worst case, with a departure price similar to that of the Tesla S Plaid. Because Xiaomi has confirmed two output prices: 814,900 Chinese yuan for reservations (107,285.66 euros) 529,900 Chinese yuan after the reserve period (69,763.98 euros) The reservation period is open until March 2 and implies depositing an amount of money to, in the next seven days, finish confirming the order or not. In addition, the possibility of entering this space has been opened to those who would have already commissioned an Xiaomi Su7 and would not have been delivered. Of the latter, of the first deliveries, Xiaomi has not confirmed when we will see them, so we will remain attentive. Photos | Xiaomi In Xataka | The Xiaomi Su7 is a rocket: already sells more than the Tesla Model 3 and doubled the electric cars sold from all over Spain

Tesla’s robotaxi for 2026: they see it as “impossible”

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Elon Muskknown for its ability to generate great expectations, has once again turned on the spotlight with a bold proposal: the creation of a robotaxi completely autonomous for 2026. Read also: Tesla and its $15 billion fall: causes and future This initiative, an essential part of his vision for Tesla, promises to transform mobility as we know it. You can read: Tesla raises prices in Canada and the impact is already evident However, this ambitious prediction has not convinced everyone, including NVIDIAa key player in the technological development of vehicle autonomy systems. In a recent interview, Ali Kanivice president of automotive at NVIDIA, approached Musk’s statements with a tone of well-founded skepticism. “We are not close to achieving it. It is very difficult”he stated forcefully. These words highlight the numerous challenges facing the industry in its race towards full autonomy, casting doubt on the possibility of meeting the schedule proposed by Tesla. A dream that bumps into reality NVIDIA, which has built its reputation as a leader in automotive hardware and software, works with giants such as Mercedes-Benz, Volvo and Jaguar Land Rover. The company has been instrumental in significant advancements in driver assistance systems (ADAS), but Kani maintains that achieving full autonomy is a monumental task. The vice president highlighted the technological requirements necessary to make an operational and safe robotaxi a reality. Among them, he mentioned the need for much higher processing powers, amplified memory bandwidths, next-generation LiDAR sensors and radars, and redundant algorithms capable of working simultaneously. “The complexity of these systems is staggering and we have not yet reached a point where it is possible to implement them on a large scale”he explained. Tesla persists in his vision For his part, Elon Musk does not seem fazed by the criticism. Tesla continues to bet on its Full Self-Driving (FSD) system, a technology based on computer vision and machine learning that, according to Musk, could completely eliminate the need for human intervention in the near future. Credit: Tesla.Credit: Courtesy However, this approach has been described as risky. Many experts believe that relying solely on cameras and data processingleaving aside additional sensors such as LiDAR, could limit the effectiveness of the system in unforeseen situations. Still, Tesla maintains its strategy, trusting that the accumulation of data and the continuous improvement of its software will give it a competitive advantage. Security: the decisive obstacle One of the most critical points in the debate about total autonomy is security. Ali Kani noted that current systems often have unpredictable failures, such as phantom braking or unnecessary acceleration, which could endanger users. “The industry cannot afford a mistake. “If one company makes a significant mistake, it will set everyone back for years.”Kani warned. This comment reflects growing concern about the impact that failures in autonomous driving systems could have, both on public trust and regulation of the sector. Although the progress has been impressive, the massive accumulation of data and the development of algorithms More sophisticated technologies are essential to ensure these vehicles are completely safe before commercial deployment. Despite the differences between Tesla and NVIDIAit is undeniable that both companies are driving technology towards a future of autonomous mobility. However, while Musk projects a near horizon for robotaxisNVIDIA and other industry experts believe that full autonomy requires more time and significant advances. Kani emphasized that although automotive software development has evolved rapidly, the industry is far from reaching the level needed for a fully functional robotaxi in the next three years. This position highlights the importance of approaching technological progress with a realistic perspective, prioritizing safety and efficiency over speed. The debate between Tesla and NVIDIA highlights the balance between vision and pragmatism in the race towards vehicle autonomy. As Elon Musk envisions a future revolutionized by autonomous robotaxis in the near future, NVIDIA calls for caution, highlighting the many challenges that still need to be overcome. What is clear is that the path to total autonomy will be long and complex. Although timelines may vary, collaboration and constant advancement will remain essential to making this transformative technology a reality. Continue reading:

NVIDIA postpones Tesla’s great promise to the next decade

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Autonomous driving. That eternal promise that is supposedly worth billions of euros, that we are always brushing with our fingers and that, in the end, never seems to arrive. The last to express their doubts have been those responsible for NVIDIA. “It’s super difficult”. The words are from Ali Kani, head of NVIDIA’s automotive division, who spoke with the magazine Coach about the future of autonomous driving. “It’s something typical of the next decade. We are not close. It is super difficult,” Kani assured journalists. The question referred to “truly autonomous cars” of which the head of NVIDIA. It is clear that “we will not see them in this decade.” Kani pointed out that cars currently do not have the power or the technology necessary to implement autonomous driving in the short term. A new way of working. Regarding how they work at NVIDIA, Kani assures that what they are doing “is very different” from what they did a year ago. He assures that they are “working on large language models such as GPT Chat with video.” And he emphasizes: “no one was doing this three years ago.” The problems. Basically, we do not have enough computing power to guarantee autonomous driving in the short term. “This type of model needs a lot more computing power, a lot more memory bandwidth. You need more LiDAR sensors and radars, redundant algorithms to make sure it’s safe. All of that has to work in parallel, which means more computing.” Furthermore, NVIDIA is clear that it is not just a matter of raw power. It’s also about giving a good image to potential customers and showing that you can travel safely. “The industry needs to go slow with this. If one company makes a mistake, the entire industry is set back a few years. So we have to act in the most responsible and don’t take any shortcuts. You can only do it when you have proven that it is really safe,” concludes Kani. A different approach. If we take what NVIDIA claims as a reference, the company works in a completely different way than Tesla tries to do. Technology makes it clear that radars and LiDAR sensors continue to be essential, components that Tesla wants to eliminate to trust everything to the use of cameras and recorded images. What Elon Musk’s company defends is that It has a huge fleet of vehicles already on the streets and that everything recorded by them allows their algorithms to learn faster than the competition. They hope, therefore, to spend less money and time to go beyond where Waymo or Cruise have gone. In 2027. The perspectives that come to us from NVIDIA are also very different from the promises that Elon Musk has made about his Tesla Cybercab. According to the owner of Tesla, his fully autonomous cars should be on the streets in 2027 despite his claims “Be unoptimistic with deadlines”. Then he said that next year he will be manufacturing his robotaxis. A promise that, as on so many other occasions, doesn’t seem too realistic. However, Musk is confident in his approach to Donald Trump to open the hand with the tests of autonomous vehicles and deploy their services more quickly. The eternal promise. The truth is, whether we’re talking about Tesla or any other company, the promise of the fully autonomous car always seems to be about to arrive. And it never seems to end. Waymo keeps going but Cruise has fallen by the wayside and has joined a long list of failed attempts. The truth is that Cruise has managed to launch the service in limited spaces but it is also true that the behavior of its cars it was easy to manipulate and who has lived in a eternal controversy of accidents and encounters with San Francisco emergency services. During all this time, Tesla has not managed to make its Autopilot a truly autonomous service and requires human attention. Ford’s BlueCruise also needs it, although in this case can be driven without hands on previously mapped roads. Mercedes does not require it but your system is limited to very specific circumstances. And a bag of millions. Despite everything, there are billions at stake with autonomous driving. Or that’s what they promise us. One of the most optimistic forecasts is that of Tasha Keeney, director of investment analysis at ARK, who quantified in one of his analyzes collected by The Wall Street Journal The value of a robotaxis service like the one Tesla is looking for could account for 60% of the company’s income in 2029 and raise its valuation to $800 billion. Photo | tesla In Xataka | Tesla promises a robotaxi without a steering wheel in 2026. General Motors already tried it with Origin and canceled its project this same year

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