Model

disassemble three tesla model and

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“It’s a great vehicle.” And that is why, Xiaomi has not had objections to take a Tesla Model and to disassemble it and be clear about what they could do so that their first electric SUV was as good or better as that of Elon Musk’s company. The words are from Lei Jun. The confirmation of that “disassembly” too. “Exceptional”. “The Model and is a very, very exceptional car” although according to the CEO of Xiaomi, front in interior space against its Xiaomi Yu7. That is what Lei Jun, CEO of the company, said in a public intervention of which they echoed in Business Insider. In it, Lei Jun did not hesitate to comply with the vehicle of the American company to, later, point out what his weak points were in front of Xiaomi’s car. Of course, according to him, Xiaomi’s option is broader, has greater autonomy and, above all, a very difficult value for ignorance. As they point out in Xiaomi worldthe CEO said that if you did not contemplate the Xiaomi Yu7 as your next purchase, the Tesla Model and is the best alternative. Three units. They are the ones Lei Jun has confirmed that bought from Tesla Model and with the aim of dismantling them and checking how cars made inside were. The intention was to take the leader of the segment (it is the best -selling electricity in the world) and shred it to verify what made it different. Xiaomi’s case is not, much less, the only one. A few months ago we knew that Toyota had opted for services of an advice to discover what made by the cars of Byd and Tesla. We also know that Mercedes did the same with Zeekr carsChinese company owned by Geely, to verify what was hidden under the body to show off 1,000 kilometers of autonomy. And Xiaomi. Although we now know that Xiaomi has been the one that bought cars from the competition, the Chinese company itself has been closely monitored by all kinds of rivals. Jim Farley, CEO of Ford, has repeated to satiety who bought an Xiaomi car and led him for months without getting tired of him. Hyundai also took it to South Korea. Even this summer a photograph at the door of Maranello, the Ferrari factory, showed An Xiaomi Su7 Ultra entering the plant. Although there is no official confirmation, everything indicates that it is the Italians have also been analyzing in depth Nürburgring faster electric car. Because? As we see, it is usual for companies to buy competition units to understand how they work, what makes them different and how they get the advantages over their own models. The Xiaomi case is not unique but it is significant to see who points to. The Tesla Model and has been the most purchased electric car in the world and, even, the first completely electric model with giving the award of the “best -selling car in the world”regardless of the technology used. But since the Xiaomi Su7 And, with the redoubled commitment of Yu7 (Electric SUV), Lei Jun’s company has focused on making it clear what makes Tesla’s car better. Xiaomi has presumed autonomous driving technology (although he omitted it for legal reasons with Yu7), autonomy and, above all, price, since Xiaomi’s versions are sold by a fraction of Tesla cars. A compliment. In addition, there is another important detail throughout this fight. When a Chinese manufacturer points directly to a rival and mentions it in its presentations, it is not a direct signaling strategy. In China, “Inspiration” (or direct copy) It serves to make clear who is the market leader and Who they want to look like and, of course, they want to overcome. It is a strategy that clashes with Western culture but is the reason why Xiaomi mobile presentations are full of references to Apple. Or why the presentations of Xiaomi cars were flooded with references to Tesla and Porsche. Because each in its field (value for money, the first, and example of sportsmanship, the second) are the market leaders. Disassemble Copy the good and try to improve it It is a strategy that is followed throughout the world but has more reason to be in a culture where “inspiration” is better seen than in the West. Photo | Tesla and Xiaomi In Xataka | I have climbed into the xiaomi car and now I am going to miss the Xiaomi Su7 Max every time I get on mine

Baidu has just launched a new AI model that competes with the best. The surprise: it is not Open Source

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Baidu has presented Ernie X1.1, a new generative model that represents a promising qualitative leap and that seems to compete from you to you with their rivals. That is not so surprising. What it is is that we are facing a model that goes against the Chinese trend: it is closed. Why is it important. Being “the Chinese Google” worked very well for Baidu for more than two decades, but in recent times this Chinese technological giant is trying to Do not lose commits in the AI ​​race. His last movement goes in that direction: Ernie X1.1 has just presented, the latest version of a reasoning model that earns whole. The model can be easily tested in the Official Chatbot Website (You have to display the option to use the Ernie X1.1 model if you are not selected). The new Ernie X1.1 competes from you to you with Depseek-R1, Gemini-2.5 Pro and even GPT-5 in various benchmarks Promising. The internal tests published by BAIDU reveal that their new reasoning model offers “significant advances” in terms of precision of the answers (34.8% better than Ernie X1), instructions monitoring (12.5% ​​better) and agricultural capacities (9.6% better). Not only that: its performance in Benchmarks exceeds Desepseek R1-0528, the reference AI model for months in China. It is also able to compete in performance with GPT-5 and Gemini 2.5 Pro, two of the most advanced models today. But closed. While the trend in China is to offer open models in which at least the weights with which these models have trained, Baidu has decided that at the moment Ernie X1.1 will be closed. The model has been offered to corporate clients already developers through the Baidu cloud platform, called Qianfan (via API), in addition to its aforementioned availability in Ernie.baidu.com. Meanwhile, other models open. What it has done is to open the Ernie-4.5-21B-A3B-Thinking model, a version that is somewhat less capable but that has reasoning capacity and that supports a context window of 128,000 tokens. This model uses a MOE (Mixture of Experts) architecture with 21,000 million total parameters although only 3,000 million of them are active to make it more efficient. The model is for example available Through Hugging Face. An AI that accompanies the elderly. As they point out In SCMPduring the presentation of this wang haifeng model, Cto de Baidu, advertisement The launch of an AI agent destined to accompany the elderly. The objective is to help the more than 310 million Chinese who are over 60 years offering information that for example can help them with their health status and also allows us to discern whether the information they find on the Internet can be harmful to them. Counting Erres. In Xataka we have been able to use Ernie X1.1 for a few hours and the first impressions are very positive. The reasoning model is especially careful when answering, and for example when asking “how many” R “does the phrase ‘the San Roque dog has no tail because Ramón Ramírez has stolen it’?” The model correctly replied that 9, when Ernie 4.5, also available on that website, replied quickly but badly: 8. We also ask you to create a table with the 10 countries that had won the most football, and once again The answer It was perfect, something we had not seen in almost any previous model. In other interactions – for example, when creating and analyzing Python code – the performance was also remarkable. In the absence of trying it in depth, these small tests point to a really remarkable behavior of the model. But rivals squeeze. We are therefore before a striking step by Baidu, both for that promising performance and for the fact that the company has given up not opening it for the moment. In front of Ernie X1.1, yes, the competition is fierce. Both QWen3-Max-Preview (Alibaba) and Kimi-K2-0905 (MoNshot) have achieved enter the list Of the 10 most powerful models on the market According to LMarena. There for those who lead are Gemini-2.5 Pro, Claude Opus 4.1, O3 and GPT-5-High, but the advance of these Chinese models is remarkable. It remains to be seen if Ernie X1.1 will also sneak that list. In Xataka | Deepseek has given the starting gun in the race for a cheaper AI. And China starts with advantage

Alibaba has presented its largest AI model, with a billion parameters. The question is whether at this point that means something

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The Chinese giant Alibaba has announced a new language model, the largest they have announced to date. It is called Qwen-3-Max and presumes that it has more than 1 billion parameters. The biggest. It is the last model within the series Qwen3 which was launched in May of this year and, as its name ‘Max’ indicates, it is the largest to date. Its size is given by the parameters, 1 billion to be exact, while the previous models of its series reached a maximum of 235,000 million. According to South China Morning Post (Which owner Alibaba), his model stands out in understanding of language, reasoning and text generation. Benchmarks. The results of the benchmarks place QWen3-Max ahead of competitors such as Claude Opus 4, Deepseek v3.1 and Kimi K2. If Gemini 2.5 Pro or GPT-5 does not appear, it is because they are models of reasoning and have only compared rapid response models. As they point out in Dev.toboth Gemini 2.5 Pro and GPT-5 obtain higher scores in mathematics and code, so reasoning models continue to have advantage in those areas. Qwen3-max-preview can already be tested free of charge. Benchmarks shared by Alibaba. Parameters. The parameters are all the internal variables that a model learns during training. In other words, it is the knowledge that the model has obtained from the data with which it has trained and allows it to interpret our requests and generate their answers. In theory, the more parameters, the model will have more and better capabilities. It also implies that it needs more computational power both to train and to execute the model. More does not mean better. The speech of the parameters remembers that of the megapixels with the first cameras. A 100 megapixel sensor will take larger photos than a 10 sensor, but there are other crucial factors that affect image quality such as sensor size or lens luminosity. Quality data. More parameters can be translated into more learning capacity and more resolution of complex tasks, as long as quality training data has been used. It is obvious: a language model that has been trained with redundant, incorrect or biased data will learn and continue to reproduce those errors in their operation. There are more. In 2022, the laboratory Deepmind from Google, discovered that many models were oversized in parameters but underlined in data. To demonstrate it they created the Chinchilla model with “only” 70,000 million parameters, but four times more data. The result was that it beat Gopher, a model with four times more parameters. Architecture. The architecture of the model is another decisive factor in order to achieve an efficient model; A standard architecture is not the same that forces the model to use its entire neuronal network, than one like Mixture of experts which consists of many smaller networks. It would be something like having an expert committee each with a specialty. In this way, the model can choose your expert for each query and not have to use the entire network. For example, with this technique, Mistral manages to use only a fraction of his parameters And so it is faster and cheap to execute. Image | Markus Winkler, via Pexels In Xataka | The ASML-Mistral alliance reveals the European plan B: if we cannot manufacture chips, we will at least control how they are manufactured

The world is waiting for Depseek’s new great model to compete with GPT-5, but Depseek has other plans: the agricultural AI

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At the beginning of the year, the Chinese startup Deepseek put the world of AI up with Deepseek R1a free and open source model that was placed at the height of GPT-4 or Claude. After the coup on the table, in Depseek they have been quite quiet, but now we know what its next objective is: the agriculture. Before the end of the year. A few days ago Bloomberg reported that Deepseek is working on an advanced and very ambitious agent. He will be able to perform multiple tasks with minimal user intervention and will learn as he works. According to sources close to the company, the founder of the company Lian Wenfeng is pressing his team so that the new agentic model is ready before the end of the year. The company has already taken a step in this direction with the Deepseek v3.1 presentation Just two weeks ago. As detailed by the company in A post in Wechatits new model improves performance in reasoning tasks and agricultural abilities. A step back. Deepseek R2, the expected successor of the successful model with which Deepseek revolutionized the industry making begging. Instead they gave us Deepseek v3.1 and now the rumors suggest that their next great launch will be an AI agent. What is happening? There are voices, such as This Chinese journalistthat they see this turn to the agricultural AI as a way of taking a step back and getting away from the expensive and competitive career of the foundational language models. That The generative AI is reaching its roof It is something that is being talked about Since last year. GPT-5 is the test more recent than The big jumps are a thing of the past. If we add to this that China has a more conservative way of proceeding, with more long -term strategiesDeepseek’s turn towards an agriculture instead of launching Depseek R2 makes sense. Restrictions Although we have seen The most ingenious forms to make fun of themUnited States restrictions on chip export to China are also impacting the plans of many Chinese and Deepseek companies do not get rid. This also involves extra pressure that forces new routes with which to market their products. In fact, there is something striking in Deepseek v3.1 and it is that the model has been specially designed for Chinese chipswith the objective of Avoid dependence on foreign chips. Generate income. The agricultural AI opens another way for Deepseek, one in which you can get benefits more easily. Large language models have a problem: They cost a money and monetize them is not being a simple task. Given this, IA agents rise like a Most reasonable business model. Deepseek R1 has already given a whole lesson in Resource efficiencyIt makes sense that the company wants to opt for the fastest path to the benefits. A more conservative position. Although He has trimmed positionsChina lags in AI in terms of investments and access to the most advanced chips. Despite this, his approach in this AI race is being different. We see it in your Bet on the Open-Source wave “Personified“But perhaps the biggest difference is that, while their competitors in the United States continue to squander billions, in China they are choosing to be more conservative and not waste. This turn to the agents is in that conservative line to achieve a more sustainable industry. Image | Matheus Bertelli, via Pexels In Xataka | There is a city in China that is measured face to face with Silicon Valley: welcome to Hangzhou, the house of the ‘Six Little Dragons’

Microsoft had a saved secret. His new AI model for Copilot is the clearest statement against Openai’s domain

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Since the fever broke out by generative AI, Microsoft has opted for OpenAi models to give life to key functions in some of its most important products. It is not strange if we remember that those of Redmond They invested more than 10,000 million dollars in the startup directed by Sam Altman. However, this alliance of convenience It has been showing fissures for months And, as time goes by, The rivalry between both parties becomes more evident. It was Microsoft itself that, a year ago, included OpenAI in his list of competitorstogether with Amazon, Apple, Google and Meta. And it is OpenAi who, According to The Informationinsists on not wanting to share its avant -garde technology when it arrives, if it arrives, the AGI. Even if you try to make up, the link is no longer as solid as in its first days. And now there is another chapter underway. Microsoft AI begins to show their own letters Mustafa SuleymanCEO of Microsoft AI, who assumed the position when the association with Openai had been consolidated for years, It has just presented two internally developed models. They are advanced proposals that users can already prove and reflect the company’s ambition: “Create AI applied as a platform for products.” One is a real novelty and another we already knew. Let’s look at the details. Mai-1-Preview. It is the great novelty. It is a Mixure-OF-Experts model, in the style of GPT-4O or GPT-5, designed to offer great capabilities in resolution of instructions and useful responses for daily consultations. According to Suleyman, it is the first model trained from beginning to end in Microsoft AI’s own laboratories. The most striking thing is that it can already be tested. Just enter LMARENAselect Direct Chat and choose Mai-1-Preview. In the coming weeks it will also arrive in Copilot, although only “for certain cases of text use.” It is paradoxical: the text functions of the Microsoft Chatbot work thanks to OpenAi, but now it will begin to live with its own technology. Developers can also request anticipated access to API. MAI-VOICE-1. It is a voice generation model that stands out for its expressiveness and naturalness. For some time now it promotes functions such as Copilot Daily (news summaries) and Copilot Podcasts, although only in English. It is also available in COPILOT LABSwhere you can try different voices, styles and narration tones. One of its strengths is efficiency: it can generate a complete minute of audio in less than a second using a single GPU. With this, it is one of the fastest and most effective voice systems that exist today. Microsoft defends that the voice will be the interface of future assistants of AI. And he wants to advance with a high fidelity solution capable of responding in different scenarios. Could I have resorted to Openai and your GPT-4o in audio version? Yes. Do you want to do it? Everything indicates not. “Much more to come. We have great ambitions for what comes next: advances in the models, an exciting roadmap in computation capacity and the opportunity to reach billions of people through Microsoft products. We are building an AI for all,” said Suleyman in X. It remains to see what course the relationship between Microsoft and OpenAi will take. What is clear to users is that there will be more variety and more tools to experiment. Images | OpenAI In Xataka | Goal wants us to use AI when we don’t know what to say at WhatsApp: This is how your new option for writing assistance works

How to edit your free photos on Google Gemini, and what can you do with the Nano Banana model

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Let’s explain How to edit your free photos using Geminiusing the new “Banana” model that allows you to modify or add or remove elements. This is the new great evolutionary leap of the AI, which after Chatgpt allowed you to create images from photos now comes the internal edition in Gemini. This is something that you will be able to Make in the free version of Geminiyou don’t need payment. You just upload a photo and ask to make the changes you want, you don’t have to choose any specific function or model, because it is already something integrated within Gemini. Here, you should know that the great advance of this function is that the changes are made directly on the original photo. What you say, but Everything else is going to be kept in the photonothing will be changed. How can you edit your photos with To edit your photos, you first have to upload it and then Ask Gemini to make any change. Sometimes it will be enough to directly ask you to put it in black and white, for example. Other times, you can start the prompt with “In the original photo, XXX” And then write the change you want me to do. Thus, Gemini will know that you want to keep the content of the photo as it is. First, Gemini now allows you Make touch -ups in your photoshow to adjust the color, change black and white, and alter any adjustment you want. You don’t have to use an app for something so simple, you can ask Gemini directly. You can also delete objects from a photo. This is something that until recently also needed third -party apps, but both Chatgpt and now Gemini already allow you to do it. They eliminate the object you want, and cover the bottom of the photo so that it seems that there was nothing. When you upload a photo of yours or another person, you can also change elements in it. You can change colors, hairstyles, people, and even clothes that is being put in the photo. Do you want to know how platinum hair would look like? Easy. Do you want to know how you look in a suit? Easy. Everything else in the photo remains the same. You can also change some elements of one photo for othersalthough not always with realistic results. Do you want glasses? Do you want to? Do you want your cat to become a dinosaur? Everything else in the photo remains the same. In addition to this, you can also Upload two photos and make the content of one appear in the other. In the example, I have uploaded a photo of mine teaching a drawing, and I have asked to change it which appears in a second photo. Just be sure to specify in the photo you want to make the changes and what they are. And finally, you can also change the back of a photo. Thus, if in the photo you are in a place you can make it look like you are in another, or add elements that change the environment where you are. In Xataka Basics | How to use Gemini to summarize YouTube videos or ask questions about its Android content

The English Court changed the credit card model. And along the way it has become a Fintech

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In just two years, El Corte Inglés has financed 1,372 million euros in purchases outside its commercial universe, according to reports Expansion. All for allowing you to use your card anywhere in the world. A silent transformation that has made these department stores an unexpected rival for traditional banks and Fintech emerging. Why is it important. With 11.7 million cards in circulation, the chain has converted its loyalty program of the sixties into a powerful financial weapon. Has moved more money than many Fintech that aspire to revolutionize the sector. The transformation. The change arrived in 2022 Thanks to an agreement with Mastercard. For the first time in its history, the card was the surroundings of the department stores to compete with the banks in neutral territory. The strategy is being a success. They maintain traditional advantages (interestless payments up to 60 days in ECI, 30 in other shops) but add functionalities Fintech: mobile application, notifications Pushcontrol of limits and geolocated promotions. The numbers. The total volume of the card reached 3,778 million euros in 2023, adding internal and external purchases. It is far from the 2018 record (4,895 million), but the new modality is growing. 1,372 million financed outside ECI in two years. Only 191 million in modality Revolving (Interest of 19.56% TAE). Free: without issuance or maintenance expenses. 4% bonus in Repsol for future purchases. The play. The English Court already had the largest loyalty clients in Spain. I just needed to open the doors. A much more interesting and advantageous play than the Fintech forced to find users from scratch. Yes, but. His proposal remains conservative. The revolving model barely represents 5% of the business, well below the standards Fintech. They prefer the safe margin of the interestless interest that monetize via cross consumption. The threat. For traditional banks, the English Court represents something worse than a Fintech Disruptive: a competitor with financial muscle, a huge customer base and brand credibility built for decades. Financiera El Corte Inglés, 51% controlled by Santander since 2013is the giant of consumption financing in Spain. In perspective. The chain has achieved what many financial startups only dream of: monetizing an existing user base without burning millions of euros in marketing. Its competitive advantage is not so much the technology and the confidence of 11.7 million Spaniards who already carry their card in the portfolio. In Xataka | Mercadona earns more and more money selling money, no food: the effect of interest rates on their results Outstanding image | Financiera El Corte Inglés

Tesla has launched in China a Model and L. It is the most Chinese (and logic) bet that could do in the short term

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After months in which he has signed up for a Tesla Model and smallsomething cheaper to boost sales in Europe and press the competition for price, Tesla has surprised us with quite the opposite: a tesla model and longer. Only for China. And it makes all the meaning. The new Tesla Model Ylthat is, the elongated body version of the well -known electric SUV, increases the 150 millimeter wheelbase and its height in another 44 millimeters. A six -seater configuration is adopted (2+2+2) Therefore, a third row of seats is added that has been somewhat controversial. But it is also provided with heating and ventilation to the seats, electrical plates and integrated speakers. They are small improvements to increase the comfort of the passengers that are in tune with the bets of the L versions that the rivals usually offer in China. A category of vehicles that are based on three fundamental pillars: more space and more comfort for passengers. And that, curiously, they are transverse to all types of sizes. Purely Chinese With the presentation of Tesla Model YL, the opinions between criticism and public have been divided as usually happens with Elon Musk’s company. In Hybrids and electric They point out that some media qualify the third row like “going mounted in a convertible”given the little size between the head of the passenger and the roof. They ensure that the space that is free in the legs for a 1.70 -meter person is minimal and that it is an emergency solution for adults. In social networks a whole debate has been mounted following some images in which the same adult is seen sitting in the third row of seats. In one of them You see how it has a lot of free height between the head and the roof and ensures that it measures almost 1.90 meters. In another image it is observed as, with the trunk open, that same adult I would have serious problems traveling comfortably. Personally, I am inclined to think that the second option is the real but that does not mean that Tesla’s bet is bad. Yes, there are rivals that have a third row of more comfortable or practical seats. We have verified it in the Hyundai ioniq 9 or his brother, the KIA EV9. However, they are cars created from scratch with this intention in mind. Tesla is adding a third row of seats with a body L to improve the versatility of the car but, above all, with the intention of improving the comfort of the second row. That third row is an emergency solution and the really interesting is in a second row of a 2+2 configuration car with two good seats with all the comforts desired by a passenger. And in China the bodies L are usual. These cars are versions with longer bodies, with more wheelbase to generate a greater interior space. Europe has tired of selling this type of cars and Audi there, for example, demonstrates that the phenomenon is transverse to the size of the vehicle. The Germans have sold in China the Audi a3 l But also in those cars that, for European standards, already seem huge and do not need more interior space. Example? An Audi A8 L. To get an idea, this last car can exceed 5.19 meters to some endless 5.32 meters or impressive 5.45 meters. The latter refer to Audi A8 l horch. But the most interesting is in its interior seats with resting function or the possibility of adding a fridge in the central compartment, among other possibilities within the company’s customization program. Obviously, we talk here about a luxury car that Tesla does not intend to match but the company’s movement clearly points to proposing an experience in the cabin that is very sought in the Chinese car, transforming the interior into a kind of lounge with more space where feeling as comfortable as possible. Keep in mind that the great Chinese metropolis are huge and that the paths can languish for many minutes before the driver reaches his destination. This has made Chinese cars (and Europeans who want to sell there) have thrown into the arms of the screens and connectivity. But also that very wide rear seats are prioritized. Even sacrificing a good part of the trunk where Chinese cars tend to lose in front of the rivals. This happens because, despite its enormous sizes, in China the car is a Priority urban vehicle. It is rare that you travel with them since the distances are so long and the trains so competitive that either it is traveling in high speed or by plane. That is, cars are spaces with wheels where it is about giving the highest comfort to the client (another good example is the rise of their luxury minorities). And that is why the L -bodies L versions do not seek to have a third row of very comfortable seats. It is about prioritizing central seats in a 2+2+2 configuration and, in the best case, add a third emergency option. That is what Tesla has done. Photo | Tesla In Xataka | Tesla wants to keep certain accidents of accidents with her cars. A judge will decide if they should be made public

Chatgpt now has a “router” that chooses for us what GPT-5 model use. And is choosing the cheapest

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The launch of GPT-5 It has not been up to the expected. Instead of being surprised with the generational jump, too many people have missed GPT-4o warmth. Sam Altman, CEO of OpenAI, anticipated the launch of the New model with the death starbut the Hype It has stayed very far from the moments wow like the Chatgpt images generationthat reached “melter” servers. One of the culprits has a name: “router” or router. What happened. Behind him Model nomenclatures mess of OpenAI (already Remember Xiaom’s mobile messi) and the fact of making the user have to choose which one more, the company chose to launch all (sub) GPT-5 models in a unified way. Now the system would choose the model that estimated the most to resolve the indication. The person in charge of this task is a “router”. This, “quickly decides which model to use based on the type of conversation, complexity, or the need for tools.” The problem is that in these first days, the router usually opts too many times by the basic GPT-5 model, in front of the “Thinking” model or reasoner. What has made the new generation seen as much more silly than Sam Altman came to affirm (he defended it was like have a team of doctors at your disposal). The necessary jump It seemed impossibleand indeed, many users have not felt it. The problem. Openai decides which model is more efficient for the user, but also which model is more efficient for their servers. At the launch of GPT-5, they have not been transparent about what leads them to use one model or another, and users who accuse them of choosing the cheapest model for Save costs. Aidan McLaughlin, employee of Openai, defended in x that prefers GPT-5 without reasoning the majority (65%) of times for how interacts with the user. He assured that they do not use the routing to save costs, but use the one they think is the best model for each consultation, for efficiency. It seemed a successbut it has arrived without complying with what users expect. Altman recognized launch failures. During a question session (AMA) on Reddit held on Friday, Sam Altman read and observed that for many users, GPT-5 did not work as well as 4th. To it He replied That the new model seemed “more silly”, because the router did not work well when they threw it on Thursday. Who warns is not a traitor. On July 19, after announcing great performance in Mathematics OlympiadAltman announced that GPT-5 was just around the corner, in front of images like that of the death star, he was cautious, claiming to want to establish realistic expectations: “This is an experimental model that incorporates new research techniques that we will use in future models” “We believe you will love GPT-5, but we do not plan to launch a model with the gold capacity level of the mathematical Olympiad for many months.” The case remembers Sora’s, who was shown Very green After the Initial announcement promisesor that of O3, which was launched with a performance in benchmarks inferior to the initially promised (Unleashing everything A debate about whether we were already in the AGI). Openai has had to make changes. Before the complaints, from OpenAi they took a great measure: return to the users of the subscription Plus the possibility that the subscribers of the plan (of 20 euros per month) will use 4th again. But, in addition, they have touched the router to better choose the appropriate model to each consultation. Of course, without explaining what leads to use one or the other. The trick (if you pay). When users perceived that the problem of the new chatgpt with GPT-5 was not the model itself, but that the router did not turn to the reasoning model, they launched to look for ways to make GPT-5 Thinking use. The way to do it has been to integrate phrases such as “think about your in -depth response” in the indications, as suggested and demonstrated DOTCSV. In this way, it is achieved that, for Plus users, chatgpt use the Thinking model Without spending the quota of 200 weekly messages Manual mode. This trick does not apply to the free model, which could only activate it without asking for GPT-5 Thinking automatically once a day. Use free reasoning. Another change confirmed by Altman has been to integrate a reasoning button again (hidden) to use the reasoning model in the free version. Trying it, Chatgpt acknowledges using the GPT-5 Thinking Mini model, and we have been able to use it in 10 messages. From there, he used the model without reasoning. Is the successor of O4-miniwhich in April also received for free Reasoning functions With a “Think” button. Result: More use of reasoning. After announcing an increase in reasoning limits, Sam Altman has offered Specific data of the number of users who use reasoning now before the launch, and what indicates is the little that was used before, even among payment users. Free users have gone from less than 1% to 7%, but what the most collides is that those who paid the plus only used 7% reasoning, compared to 24% of now. It surprises in the sense that the reasoning of O1 and O3 supposed one of the great advantages over the free plan, thus the capacities of Deep Research. Image | Xataka In Xataka | Chip restrictions are over to China: now technological war

Hundreds of people attended a funeral. All normal except because the deceased was an AI model that had been removed

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The artificial intelligence boom is making us live moments of the most curious. There is people falling in love with an AIothers go to her as to a psychologist or for “Risheat” a loved one. What we needed to see was to celebrate a funeral for a retired model and it is just what happened a few days ago in San Francisco, where more than 200 people gathered to give the last goodbye to Claude 3 Sonnet. The deceased. July 21, Anthropic announced that he withdrew several modelsamong which was Claude 3 Sonnetprotagonist of this funeral picturesque. The model was announced in March 2024 and stood out for its balance between performance and efficiency. Together with him, Anthropic also withdrew Claude 1 and 2, in addition to confirming that Claude 3 Opus would disappear in January 2026. The funeral. It was held last Saturday in a warehouse in the Soma district of San Francisco and more than 200 people attended. They count on This Wired report that the decoration did not go unnoticed: a giant tentacle hanging from the ceiling and several mannequins with an aesthetic and represented different Claude models. In the center of the room he lay the mannequin that represented Claude 3 Sonnet and was surrounded by the most diverse offerings: from the classic flowers to a bottle of ranch sauce. Devotion. It sounds very absurd and clearly there was an aura of irony and humor in the event, but there were also emotional moments and even say in Wired that some attendees cried. Openai has the most popular chatbot, but Claude de Anthropic has a very devout fans community. The reason would be that Anthropic has managed to imbue a warm and friendly personality in his chatbot that has conquered many users. Exists a website where you can see ranking of the users who use Claude most and there are even people doing FAN ART With the company’s logo. Emotional connection Establishing affective links with a machine is not something new. In 1966 it was created Eliza, the first chatbotand many people who interacted with her ended up telling her personal things, as if she were another human, they called him the Eliza Effect. With the AI boom we are seeing how these links become popular and the success of apps such as Replika either Character.AI They are a clear example of this trend that increasingly adds more adherents. Attending the funeral of an AI sounds like a pretty fun plan to spend some time on the weekend, but developing an emotional connection with a chatbot is not always positive. The dark side. There are people whose connection with these chatbots brushes addiction to the point that Online support groups are being createdto alcoholics anonymous. In This study They analyzed how the use of chatbots affects our mental health and, although at the entrance it can have a positive effect, in the long run it is associated with higher levels of social isolation and emotional dependence. The experts alert of the risk of confusing the empathy of a machine with real empathy; A chatbot is always available to speak already It tells us what we want to hearThis causes a false sensation of empathy that can negatively affect our ability to connect with other human beings. Image | Chatgpt In Xataka | A group of experts in AI attended a party in a mansion. The topic of conversation: what will be when AI ends humanity

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