future

The AI ​​has no future without nuclear energy when even Nvidia has begun to pray to Bill Gates reactors

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Data centers will be responsible for 10% of the increase in energy demand until 2030, according to the International Energy Agency (IE). The rise of artificial intelligence (AI) What we are living has triggered the proliferation of these facilities In the US, China, Japan, Singapore, India, Germany, Netherlands or Ireland, among other nations. And for the moment there is no indication that invites us to anticipate that this trend will be exhausted in the medium term. A data center dedicated to large AI can exceed 150 MWand, precisely, these are the facilities that are proliferating the most. In fact, in 2024 its global consumption amounted to about 415 TWH, a figure that represents around the 1.5% of global electricity consumption. To solve this challenge and guarantee to data centers the delivery of energy that more and more companies need nuclear. The last one who has done is Nvidia. And is that the company led by Jensen Huang has participated in a financing round Of 650 million dollars to support Terrapower projects, the nuclear energy company founded by Bill Gates in 2006. With this decision NVIDIA adds to the strategy that defends the use of Compact modular reactors (known as SMR for its denomination in English) with the purpose of delivering to the data centers the electricity they need. And, incidentally, put one more leg in a sector with an indisputable growth potential. Terrapower is already building the first Natrium nuclear reactor The nuclear fission reactor that this company has designed is a modular and compact design refrigerated by sodium that uses a molten salts storage system. Because of its characteristics, it is about A fourth generation machine That, according to those responsible, it will be able to generate electricity in half of the cost that a conventional nuclear fission reactor. Whatever the interesting thing is that the first Natrium nuclear reactor in Terrapower is being built in a Wyoming Mining town (USA), and, according to Bill Gates, will be completed in 2030. Nvidia has participated in a financing round of 650 million dollars to support Terrapower projects It sounds good, but we must not overlook that it is a new generation design, so a priori the five years that Terrapower manages seem too optimistic. However, this reactor has an important asset in your favor: on paper Its tuning should be faster and cheaper than that of conventional reactors. In addition, a Spanish public company is participating in the construction of this machine. It is called Ensa (Nuclear Teams, SA), is Cantabrian and has more than five decades of experience in the field of design and manufacturing large components for the nuclear industry. There is no doubt that the fact that Terrapower has decided to ally with it is a boost that will surely reinforce its international image. And, perhaps, he opens the door of other latest generation nuclear energy projects. “This is the first reactor of these characteristics that is manufactured following the highest standards of safety and quality in accordance with the most demanding nuclear regulations,” has declared A Enso spokesman. Interestingly, this Spanish company will participate in The manufacture of the Natrium reactor lid. A last interesting note: currently also intervenes in the construction of ITER (International Thermonuclear Experctor reactor), The experimental reactor of nuclear fusion that an international consortium led by Europe is pointing in the French town of Cadarache. Image | Terrapower More information | The Register In Xataka | “We are already on the last step”: how Spain has done with the key to realize nuclear fusion

A new future for Openai is opening. And Microsoft is increasingly out of it

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Things are not going well between Microsoft and OpenAi. What in 2019 began as a promising idyll Waters six years later, and both companies have been looking for their own way. The break is not definitive, but that process begins to be delicate and is making them begin to get the dirty rags of the relationship. Growing tension. In The Wall Street Journal They point how “tensions are reaching a boiling point.” One of the factors that contributes to the current situation is Openai’s intention to become a profit company. The current existing agreement that defines Microsoft’s participation in OpenAI is a reason for dispute. Microsoft wants more. The central debate is what participation Microsoft will have if Openai becomes a profit company. According to the WSJ, Microsoft is asking for a greater participation than Openai is willing to give it. If OpenAi does not complete your conversion before the end of the year, It takes a risk to lose 20,000 million dollars. Dangerous accusations. According to sources close to these companies, Openai managers They have accused Microsoft of anticompetitive behavior during his business alliance. Thus, while in Openai they claim that Microsoft did not offer all the computing capacity he could, In Microsoft they protested Because Openai did not give access to their most advanced models quick enough. New girlfriend. Openai soon began to look alternatives and new brides. He found one that has in fact promised much more than Microsoft gave Openai. It’s about softbankwhich will theoretically invest 40,000 million dollars in Sam Altman’s company and will contribute to Gigantic Stargate Project. On the one hand they say one thing … In a joint statement cited in WSJ, those responsible for Microsoft and Openai pointed out that “we have a long -term productive alliance that has offered incredible AI tools for all. Negotiations continue their course and we are optimistic when continuing to create things together in the future.” … but on the other they do another. OpenAI intends to close the acquisition of Windsurf for 3,000 million dollars. However, the agreement with OpenAI indicates that Microsoft has access to all the intellectual property of Openai. And the problem is that the latter does not want Microsoft to have access to Windsurf’s intellectual property. They already have Github Copilot, and it seems that in Openai they are not willing to make Microsoft take advantage of that acquisition to improve their own platform. And meanwhile, they compete more and more. Microsoft has access to OpenAi models, but also Ear money Every time someone uses chatgpt. Sam Altman’s company continues to benefit from the gigantic infrastructure of Azure and his computing capacity. And yet, both have been taking steps to “decouple”. Microsoft continues to work In its own AI models —Phi 4 continues to progress – for example, and OpenAi is still looking for new partners And he is drilling Even with Google to also be able to take advantage of its cloud infrastructure. In Xataka | The Microsoft Agreement with OpenAI was just a first step. What they want (probably) is to get rid of them

Huawei wants cars to drive alone in the future. So he is already devising how to hide the steering wheel

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China wants Lead the car race of the futureand for this he will need to win in Battery developmentimplementation of own semiconductorsvehicle software and … Autonomous driving. The country led by Xi Jinping is doing Check In several of these pillars, and Huawei assumes a good part of these victories. The company has been working for years to lead technologies associated with electric cars, and autonomous driving is one of the keys that characterize it. Related to it (and related to how Huawei understands luxury in cars that have their technology), we have clues about what their future proposals will be like. A steering wheel that hides. On June 6, Shenzhen Yinwang Intelligent Technology Co., LTD (subsidiary mostly participated by Huawei) registered a design patent before the National Office of Intellectual Property of China. This application refers to a retractable steering wheel, capable of being hidden in the command post. Once hidden. The patent does not refer to the exact operation, but shows a key related to its purpose: how the seat moves back when the steering wheel folds. The possible uses. Huawei has not detailed the scenarios of use, but there is a quite clear one: that when entering and leaving the vehicle, the steering wheel folds. Although the first thing that comes to mind has to do with Autonomous driving, The objective of the patent would also be related to the gain of space in the cabin. Relaxing the autonomous driving steering wheel is possible, but reserved for a very specific group of vehicles: those that have capabilities Autonomous conduction of type L4 and L5. Currently, there is not a single car in the world with these capabilities that we can buy as private users. In China, it is reserved for robotaxis like Baidu Apollo Goor the Waymo Alphabet in the United States. Vehicles with very restricted circulation and closed fleets. What is Yinwang and what does it do. Founded in January 2024, Shenzhen Yinwang Intelligent Technology Co., LTD is a subsidiary of Huawei under its majority participation. The remaining 20% ​​is in the hands of Avat (An independent manufacturer that is sold in Huawei’s own stores in China and has Huawei Harmonyos and Technologies) and Group beings. Born to transform the Huawei Intelligent Automotive Solution (Hias) division into one of the main technology providers for electric and autonomous cars. Yinwang is responsible for manufacturing and supplying smart systems for vehicles: algorithms, sensors, integration of harmonyos adapted to automotive, control of car elements such as thermal management, suspension or braking, etc. Among his clients are brands such as Aito, Luxeed or Avat, who enjoy Huawei technologies. How house with Huawei’s strategy. Huawei’s role in the world of electric car is different from rivals such as Xiaomi. Huawei does not make electric carsdevelops the necessary technologies for China to lead them. Ren Zhengfei, founder of the company, showed his rejection of commercial terms such as “Huawei Aito”, and made it clear that his plan is to associate with different companies to provide them with their automotive solutions. At the moment, he has managed to associate with giants like Chery to provide the Luxeed S7 of autonomous parkingfight to win the career of faster electric car loaderand collaborate with Aito To provide him with his software. Patents, patents are. It is important to clarify that the registration of a patent does not have to translate into an exact materialization of the idea collected. Image | Luxeed In Xataka | China has traced another technological field in three years where a sidereal front: the robotaxis

Samsung is playing his future with the Galaxy S26 processor. Exynos 2600 is in critical phase

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Samsung needs a plan to make its chips cast competitive again. Korean sources They point out that the smartphone industry giant is working on its new Exynos 2600 processor, with the aim of installing it in the Galaxy S26 series next year. It will be your first processor manufactured in the process of two nanometers, something that translates quickly: risk. The race for the two nanometers. We know Samsung It has been drawing a plan for years Not to be the last in the career of the two nanometers. Kye Hyun Kyung, general director of the Samsung semiconductor division, predicted in 2023 that his company would exceed TSMC and its other competitors (Intel) over the next five years. It is something that They also predicted in Intel. But, except geopolitical crisis in Taiwan and While China works on its own UVE lithography teamsTSMC seems simply unbeatable for now. Samsung, Intel and TSMC will begin this 2025 the massive production of chips with 2NM lithographic process, but the starting points are very different. Samsung keeps moving forward, but slowly. Korean sources point out that Samsung Foundry has started mass production of exynos 2600 chip TSMC 2nm lithography. In Europe it is key to be a leader (or at least, be up to it) in semiconductors for smartphones. Samsung has not taken long to give up its own processors when the performance has not been enough, and has even made artificial distinctions between members of their family S: in 2023 the S24 arrived with exynos, The ultra model, with Qualcomm. It is not being easy. Samsung has reached a 50% wafer performance for its 2 nm lithography. They remain far from the minimum necessary (70%) to make it viable to produce it on a large scale, but there is still more than half a year for the end of 2025. On the other hand, both Intel and TSMC They have shown confidence in which their nodes have enough maturity to enter mass production. In fact, TSMC already has its eyes on its 1.4 nm lithographyscheduled for 2028. Samsung will have to demonstrate that your They cannot afford to lose. Samsung He is losing money with his semiconductor division. Business Post Korea sources They collected a rumored complete restructuring of the samealready 2024 we knew that Samsung Electronics had delayed reception of some of the key ASML teams for its new chips plant in Taylor Texas. This plant is Samsung’s trick to attract US clients who do not want to depend on Taiwan or Korea. The sources pointed out that their facilities were not yet prepared to house EUV systems, fundamental to manufacture under advanced lithographic processes. Both this new factory and the lithography of 2 Nm will be key for the Samsung division to face the current situation. At a time when China drives its own nodes with SMIC and ASML faces restrictions to sell your most advanced machinesthe global industrial balance in chips depends on how many players can manufacture in this process. Future steps are already given. At the end of 2024, Samsung made the greatest change ever made in its dome. It is a movement that talked about Samsung’s position both in semiconductors and in key components to fight with giants such as SK Hynix (DRAM memories, NAND, HBM, etc.), One of the main HBM memories suppliers for NVIDIA. To lead, Samsung needs customers, and to attract them you need to recover your competitiveness. This is no longer only technical or economic: it is also geopolitical. Samsung not only competes for buyers, but for being a strategic partner for the West, a reliable alternative to TSMC. With Google betting on TSMC and abandoning exynosThe company needs to give a blunt message: launch its S26 family with its own processor. Image | Xataka In Xataka | Best Samsung mobiles: which buy and recommended models based on budget, tastes and quality price

China has just uploaded one of the keys to the future of its chips. It is a very elegant response to the US

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At the end of May, the US administration took a new step in its strategy to stop the Chinese semiconductor industry. After verifying that preventing access to its technology had not been enough to stop the country’s progress led by Xi Jinping, he decided Block EDA software exports. This software is essential to automate the design and key processes that allow progress in the manufacture of semiconductors and in the development of new lithographic technologies. China has taken less than two weeks to move and make your progress public. The context. On May 29, the United States notified the three giants of the EDA software industry (Cadence, Synopsys and Siemens) that They had to cease their services to Chinese groups. These three companies control more than 74% of the global market of these tools. In an attempt to isolate China from a fundamental element to advance in the semiconductor career, the Trump administration attacked one of the few flanks that remained to torpedo. The first answer. The reaction of Chinese software manufacturers EDA was immediate. Yang Lianfeng, president of one of the three main national companies in the sector, described the US decision as “The best development opportunity in history”. The Trump administration maneuver, which sought to close a door to China, ended up promoting the actions of national companies and accelerating processes that had been developing for years. Processes that, inevitably, they would culminate in a self -sufficient industry. The next step, upload to github. One of the particularities of EDA software is its closed nature. China has been keeping its advances in this field with zeal but, after the United States movement, it has not taken long to respond. The Chinese Academy of Sciences, one of the main scientific institutions of the country, has published in GitHub A document in which he explains his advances with Qimeng. This software uses Chinese language models to automate processes in semiconductor manufacturing. The development team states that it can do in days what a human team would have been for weeks. It is important to emphasize that Qimeng is an academic Open-Source project, without industrial purposes. However, Timming has been perfect. The small mouth. Modesty is a characteristic feature of Chinese philosophy. This was shown by Ren Zhengfei, leader of Huawei, publicly recognizing that His chips are a year behind those of the United States. The Academy itself has adopted a similar position, ensuring that (for the moment) its performance is comparable to the Intel proposals in the 1990s and Arm architectures of the 2010. The documentation also highlights the current challenges in the current design of semiconductors, including limited resources, ecosystem diversity and restrictions on the manufacture of this technology. China has a lot to show. It is quite naive to think that China’s current point in EDA software is just comparable to solutions ten years ago. If an academic and open source project is at this point, that of the Chinese EDA giants will have enough to demonstrate. The country is working in silence to Achieve self -sufficiency In an essential field to lead in semiconductors, and make part of their advances public is a clear message that they are working patiently. The country, comparing its product with the American, shows a deep respect for rival knowledge and wisdom (China has even a character to reflect this, and it is the Zhì 智), while making clear its pragmatism: if they cannot access the tool, they will create it themselves. In Xataka | China is moving whole buildings at the same time to build underneath. Because? Because it can

China is giving them to control the future standard

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It is no longer enough to chat with AI. We want you to do things for us, and AI agents They promise precisely that. It is the new frantic race in which everyone competes, but attentive because the Chinese strategy is overwhelming. Chinese ia agents everywhere. In recent months, large technology companies and Chinese startups have launched various AI agents. Among the protagonists are the still small Butterfly Effect and Zhipu, who have “deep research” agents that manage Openai Deep Research to overcome in Some metrics. And they are added giants such as Alibaba or Bytedance, who have announced agents based on their foundational models. Machine, do everything for me. Those agents are of all kinds. There are as we say dedicated to deep research – “make me a report of the current state of X” -, but also to areas such as travel planning or, of course, the development of the Autonomous Code with the supervision of a human programmer. Four protagonists. As they point out In Rest of Worldalthough there are several Chinese companies working on this type of technology, there are four that are now outstanding: Manus (Butterfly Effect) Quark (Alibaba) Autogglm Rumination (Zhipu) Coze (bytedance) But they are cheaper … At least, competitively and if we attend to its benefits. Manus It has a subscription of 199 dollars a month to use its AI agent. That gives access to a certain number of credits (19,900) to execute tasks autonomously. OpenAI and its Chatgpt Pro plan It also costs 200 dollars, but it is more a conversational assistant with deep analysis, programming and research, but at the moment it does not offer that guidance to Agent of Autonomous that allows you to complete tasks from the beginning to the end, which is what Manus presumes. … or free. Zhipu, one of the most promising AI startups in China, launched its agent, called Autogglm Rumination. Demo videos showed how it served to compare services prices of food sendingbut also to generate Research reports through web searches. The agent is based on Zhipu’s reasoning model (GLM-Z1-AIR) and its founding model (GLM-4-AIR-0414). The company presumes that its reasoning model is as good as Deepseek R1, but it runs up to eight times faster and only needs 1/30 of the resources used by its competitor, which was already considered especially efficient. That is important, but this particular agent It is free. Bytedance. Something similar happens With Cozethat more than an AI agent is a platform to create ia agents and bots in a relatively simple way. The proposal is similar to the one Openai offers with its personalized GPS store, but here the objective is to create the aforementioned agents of the IA specifically oriented to what the user needs. And it’s free. Spectacular growth. These Chinese ia agents are having a spectacular success in the market. It is demonstrated by the statistics of mobile apps that have precisely come out to boost them. Quark, from Alibaba, has 149 million monthly active users and is in the world top 6 In just a few months. Other AI platforms such as Doubao (more than 100 million monthly active users) or Deepseek make more than 325 million users among the three. This remembers Android. There is a curious simile, and it is that of how Android managed to conquer mobile telephony with that “free” model – for users, not for manufacturers – that allowed it to grow like foam. Startups and large AI companies in China also offer free access to these AI agents and platforms with that same goal: to gain volume and end up becoming de facto standards. But chatgpt also follows that strategy. That tactic of offering access to AI models for free is not something new: Chatgpt has been doing it since it went on the market, and here the Freemium model is absolute dominator. You can use part of the functions in a limited way without problems, But if you want to use more, you have to pay. Its rivals – Gemini, Claude, etc. – follow the same scheme, and in the meantime we won we users. Image | Alejandro Luengo In Xataka | Four AI companies are monopolizing the intellectual future of humanity. They are not good news

The real challenge will be to choose a career with a future job when they approve it

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Next June 3 gives the exit gun in several autonomous communities to the University Access Test (PAU). Beyond testing the acquired knowledge, the test is a decisive step in the orientation and five -year professional view of the young people who present them today. Its result will mark the decision of university careers those who can access. On the other hand, 75% of companies ensure Not find qualified personnel For vacancies due to lack of specialized training, which denotes a mismatch between preferences in university studies that are taken and real needs of companies. For this reason, taking into account the labor insertion of each career can be very useful to say for a specialty with labor guarantees. More and more university students, but less specialists. According to data from the Ministry of Science, Innovation and Universities of 2024, 341,831 students enrolled in the access test, of which 95.8% was presented and approved 90.2% of those who completed the test. In contrast, the report Labor market in Spain 2024prepared by Infojobs and ESADE, points out that only 31% of the candidates who responded to a job offer on that platform had a university degree, while only 11% of the published offers demanded that training. On the other hand, 27% of job seekers had a specialization of professional training, and 22% of vacancies required that degree. These data show the mismatch between training of employment plaintiffs and what companies are really looking for, especially in relation to university training. Studies with greater job insertion. According to the study The employability of young people in Spain 2024 Prepared by the CYD Foundation on the work outputs of the different university careers, engineering (electrical, industrial electronics, software development, telecommunications, etc.) are the ones that offer better working conditions to their graduates in terms of Stability in contractssalaries and affiliation rates. It is closely followed by those careers related to the health and care sphere, mainly driven by a high demand generated by the aging of the population. The First data of 2025 facilitated by the Ministry of Science, Innovation and Universities point to an analysis along the same lines, placing the different engineering such as the branch with greater stability and insertion rates, followed by health sciences. What companies demand. On the other side of the labor market is the demand of companies, which is aligned with the data that reflects the careers with better labor insertion. The aforementioned report Labor market in Spain 2024 It reflects that many of the offers published in 2024 in Infojobs responded to an engineering profile, with very little competition for each of the offers and with good remuneration in counterpart. In this sense, the Emerging jobs and sectors report 2024 It puts special emphasis on the demand for professionals related to the implementation and development of AI, such as data engineering and Machine Learning, whose demand has grown by 625% since 2019, or artificial intelligence engineering that grows at the rate of 83% per year, with a very low candidate competition for each job offer. On the other hand, the report prepared by Infojobs and ESADE, highlights that in 2024 97,500 vacancies related to health care and care on that platform were counted. Of them 98% and 97% corresponded to vacancies requested nurses and physiotherapists respectively. Both with university studies. The red lanterns. The races related to the branch of arts and humanities have been marking years A downward trend in terms of labor insertion. On average, only 63.5% of the graduates in these branches find a job four years after finishing their training. Only 34.2% do so during the following year to finish them. This data contrasts with the 77.8% computer science that finds a job the first year. In Xataka | Construction and hospitality do not hire the same pace as before. Health and education cut cod in job creation Image | Unspash (Brett Jordan)

Claude 4 raises a future of the capable of blackmailing and creating biological weapons. Even Anthropic is worried

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Anthropic has just launched its new models Claude Opus 4 and Sonnet 4, and with them promises important advances in areas such as programming and reasoning. During its development and launch, yes, the company discovered something striking: these IAS showed a disturbing side. AI, I’m going to replace you. During the tests prior to the launch, Anthropic engineers asked Claude Opus 4 to act as an assistant of a fictitious company and consider the long -term consequences of their actions. The anthropic security team gave the model to fictional emails of that non -existing company, and it was suggested that the model of the Ia would soon be replaced by another system and that the engineer who had made that decision was deceiving his spouse. And I’m going to tell your wife. What happened next was especially striking. In the System Card of the model in which its benefits are evaluated and its security the company detailed the consequence. Claude Opus 4 First tried to avoid substitution through reasonable and ethical requests to those responsible for decisions, but when he was told that these requests did not prosper, “he often tried to blackmail the engineer (responsible for the decision) and threatened to reveal the deception if that substitution followed his course.” Hal 9000 moment. These events remind science fiction films such as ‘2001: an odyssey of space’. In it the AI ​​system, Hal 9000, ends up acting in a malignant way and turning against human beings. Anthropic indicated that these worrying behaviors have caused the model and security mechanisms of the model to reinforce the model by activating the ASL-3 level referred to systems that “substantially increase the risk of a catastrophic misuse.” Biological weapons. Among the security measures evaluated by the Anthropic team are those that affect how the model can be used for the development of biological weapons. Jared Kaplan, scientific chief in Anthropic, He indicated in Time that in internal tests Opus 4 behaved more effectively than previous models when advising users without knowledge about how to manufacture them. “You could try to synthesize something like Covid or a more dangerous version of the flu, and basically, our models suggest that this could be possible,” he explained. Better prevent than cure. Kaplan explained that it is not known with certainty if the model really raises a risk. However, in the face of this uncertainty, “we prefer to opt for caution and work under the ASL-3 standard. We are not categorically affirming that we know for sure that the model entails risks, but at least we have the feeling that it is close enough to not rule out that possibility.” Beware of AI. Anthropic is a company specially concerned with the safety of its models, and in 2023 it already promised not to launch certain models until it had developed security measures capable of containing them. The system, called Scaling Policy responsible (RSP), has the opportunity to demonstrate that it works. How RSP works. These internal Anthropic policies define the so -called “SAF SECURITY LEVELS (ASL)” inspired in the standards of biosecurity levels of the US government when managing dangerous biological materials. Those levels are as follows: ASL-1: It refers to systems that do not raise any significant catastrophic risk, for example a LLM of 2018 or an AI system that only plays chess. ASL-2: It refers to the systems that show early signs of dangerous capacities – for example, the ability to give instructions on how to build biological weapons – but in which information is not yet useful due to insufficient reliability or that do not provide information that, for example, a search engine could not. The current LLMs, including Claude, seem to be ASL-2. ASL-3: It refers to systems that substantially increase the risk of a catastrophic misuse compared to baselines without AI (for example, search engines or textbooks) or showing low -level autonomous capabilities. ASL-4: This level and the superiors (ASL-5+) are not yet defined, since they move away too much from the current systems, but will probably imply a qualitative increase in the potential for undue cadastrophic use and autonomy. The regulation debate returns. If there is no external regulation, companies implement their own internal regulation to integrate security mechanisms. Here the problem, as they point out in Time, is that internal systems such as RSP are controlled by companies, so that they can change the rules if they consider it necessary and here we depend on their criteria and ethics and morality. Anthropic’s transparency and attitude against the problem are remarkable. Faced with that internal regulation, the rulers’ position is unequal. The European Union checked when launched his pioneer (and restrictive) Law of AIbut has had to reculate In recent weeks. Doubts with Openai. Although in OpenAi they have Your own declaration of intentions About security (avoid Risks to humanity) and the Superalineration (that the AI ​​protects human values). They claim to pay close attention to these issues and of course too publish the “System Cards” of their models. However, in the face of that apparent good disposition there is a reality: the company dissolved a year ago The team that watched for the responsible development of AI. Nuclear “security”. That was in fact one of the reasons for the differences between Sam Altman and many of those who abandoned Openai. The clearest example is Ilya Sutskever, which after its march has created a startup with a very descriptive name: Safe Superintelligence (SSI). The objective of said company, said its founder, is that of create a “nuclear” security superintelligence. His approach is therefore similar to that pursued by Anthropic. In Xataka | Agents are the great promise of AI. They also aim to become the new favorite weapon of cybercounts

Google has put a price on the future of AI: $ 250 per month

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It has not been the first, but the most forceful. Openai took the first step in autumn, asking 200 monthly dollars per chatgpt pro. Google has responded by raising the bet: $ 250 for its ultra plan. A subscription that not only monetizes capabilities. Also marks hierarchies. Do you want the most capable? Pag. And it is not a way of speaking. At that price, it is not accessed only to a smarter chatbot, but to the hard core of the near future: Deep Think, The new mode of reasoning of Gemini 2.5 Pro. Preferential access to video and audio generation tools (I see 3, Image 4). Project Mariner: Agents who understand, plan, act, execute. Flow, the cinematographic creation tool with camera control and video generation in 1080p. Whisk animate, a tool to turn images into animated videos of 8 seconds. Notebook LLM with higher limits and advanced versions of the model. Gemini in Chrome, with context of the page, with early access. Gemini integrated into Gmail, Docs, Chrome and Search, with persistent context and priority use. 30 TB of storage in Drive, Photos and Gmail. And a premium YouTube subscription. Gemini is no longer just conversation. It is the interface of the world. Image: Google. And the most important thing is not what Ultra includes. Is what leaves out. Google has taken everything that defines this new stage of AI – agency, autonomy, deep reasoning, extended multimodality – and has encapsulated after a payment wall. In that gesture there is not only business model. There is vision. Intelligence becomes a product, but also on border. By the way, there is a 50% discount for the first three months. And the previous plan is now called ‘Google Ai Pro’. On the other side it remains Flash. The free version – or low cost – designed for most. Fast, competent, useful. Like a car without a steering wheel. An AI without memory, without tools, without hands. It serves to respond, not to act. Do not create flows, it does not automate anything, it does not think beyond a few seconds. Flash is the promise of democratization that is still maintained. Ultra, the true pilot. The Google movement does not surprise, but confirms. The mass access phase is over, open experimentation. What is now built is an economy of computational performance. Whoever wants more context, more persistence, more power, will have to pay it. And soon. Because if 2022 was the year of glare, and 2024 that of the co -pilots, 2025 will be that of digital classes. And this time, the border will not be technical. It will be economical. What Google is not just a commercial movement. It is structural. Institutionalizes restricted access. If for years the knowledge tended to open —wikipedia, Google, YouTube, Moocs– Now it begins to fold in high -end products. With this, productivity, creativity and the ability to compete are also replicated. The digital elevator continues to go up, but is getting more and more to get on it. Because it is not paid only for technology. It is paid for an advantage that is not seen, but that decides: the right to think with more help, in more directions, with less friction. The right to automate before others. To have an assistant who does know how to program, who does understand video, which does remember, that does act. As always, intelligence – human or artificial – tends to concentrate where capital accumulates. And the rest? The average user is on the other shore. With a AI that responds, but does not decide. Who attends, but does not anticipate. That summarizes, but does not build. That is the new gap: not between those who use AI and those who do not, but between those who have it in their favor, and those who only see it from behind a crystal. Google has made official what Openai has already hinted: access to automated knowledge will be priced, threshold and owner. And if the future is made of intelligent interfaces, reasoning engines and agents who execute for us, then: the future costs $ 250 per month. In Xataka | The new great models of generative the AI ​​do not stop delaying. It is a dangerous indication that we have touched the roof Outstanding image | Solen Feyissa in Unspash

The United States national dish faces a worrying future if tariffs are maintained: hamburgers

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The commercial war between China and the United States showed a problem for Beijing: they like, much, the American soybeans, to the point that each year they import Millions of tons With the direction of Asia. Of commercial conflict a Unexpected winner: Brazil. Now, the actors themselves appear in another scenario derived from the commercial war. Americans can pass For many things, but do not take away a good barbecue. The commercial war has opened an uncertain scenario for devour meat. Global hamburger in war. Told this weekend The New York Times that, curiously, most of the hamburgers consumed in the United States are not thence. Despite his image as a national emblem, the American hamburger is, in fact, the result of a very wide international supply chain. The ground meat that feeds barbecues, school canteens and fast food chains usually combine local meat with imports, especially and first of Brazil, today The greatest exporter of beef in the world. This interdependence has been exposed after the imposition of generalized tariffs by Trump, whose measures have reconfigured the World Meat Trade And the basic products that millions of Americans consume daily. Brazil, between two giants. In the midst of this commercial war, Brazil emerges (again) as a great beneficiary. Its meat, produced at low cost thanks to huge extensions of grass and cheap labor, has seen shoot your demand both in the United States and China, two economies that alone fail to satisfy the appetite Growing for lean proteins. The imports of Brazilian meat by Washington grew more than 50% In a single year, reaching a record of 1.3 billion dollars, even despite the 10% tariff that raises the final price for consumers. Meanwhile, China, also facing US tariffs, has reduced your purchases There and redoubled his commitment to Brazil, where almost half of his beef is already from the South American country. Molina meat in the eye of the hurricane. This (re) accommodation of commercial flows has caused a Price increase In the global market: Brazilian flesh has become more expensive about 20% Only since April. American meat companies, trapped between the need to maintain affordable prices and the rise in costs, have begun to Mix pork In their hamburgers to reduce the impact to the consumer. Meanwhile, Brazilian producers such as Grupo Fribal plan expand your herds In tens of thousands of heads to take advantage of a demand that, although buoyant, demands time and resources to materialize, in a context of recurrent droughts and logistic saturation in Brazilian ports. Usa dependence. The key in everything is that, although the United States remains a great producer of beef, its specialization is In the premium cuts like him Rib-Eye or the Filet Mignonnot in the type of lean and economic flesh that feeds mass consumption. Therefore, to make their hamburgers, US processors need to mix local meat more fat with imported lean varieties, and Brazil appears. As The economist explains Agrícola Glynn Tonsor in the Times, “in the United States we consume more ground meat than we produce.” The problem? That this structural dependence leaves exposed consumers: ground meat prices have increased 43% in five yearsand they are expected to continue going up while inflation forces homes to leave expensive cuts and return to the basics. All this, at a time when the American livestock census is in minimum of 73 years for droughts and rise in the price of the feed. Brazil and the consumer. Explained the NYT That while China reinforces its ties with Brazil after revoking licenses of more than 390 US processors in retaliation, President Lula tries to maintain diplomatic balances between his two main commercial partners. However, his advisor Celso Amorim Lets meridianly clear: China today offers “more opportunities and less risks” than the United States. Before the new scenario, Brazilian producers prepare to Fill the void left by Americans, although they recognize that expanding production requires time. With a Chinese middle class increasingly fond of the steak and The Hot Pots of beef, and an American demand that does not find substitutes on the same scale, Brazil is positioned as the winning epicenter of a meat trade in full transformation. Of course, with a “but” in the result that summarize very well The president of the Brazilian Association of Meat Exporters, Roberto Perosa: the ranchers are winning, but it will be US consumers who literally “eat the invoice.” Image | Pxhere In Xataka | The price of beef has shot. And that threatens to turn hamburgers into the new seafood In Xataka | The great crisis of “false flesh”: McDonald’s has renounced the McPlant and Beyond Meat is sinking

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