standard

There is now a standard to charge companies to take down the website

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When we use Gemini, ChatGPT either Grokit is easy to think that this ability to produce results in a few seconds borders on the extraordinary, even with its common flaws. But there’s no mystery: they depend on models trained with massive amounts of information. This process has ignited an increasingly intense debate about how all that content is used and the extent of control of those who generate it. In this climate a proposal appears that attempts to bring some order. Mass extraction of content. The accelerated growth of AI has exposed the aforementioned phenomenon. Companies use proprietary trackers and third-party data sets that aggregate material from thousands of websites. For publishers, the problem is not just scale, but a lack of transparency about what is collected, how it is used, and who profits. The clash between these interests has fueled demands and debates about the balance between innovation and copyright. What is RSL 1.0. Now it comes RSL 1.0an open standard designed to let publishers express, in machine-readable form, how their content should be used in the age of AI. The initiative arises from the RSL Collective and the RSL Technical Steering Committee, where internet companies, media and standards organizations such as Yahoo, Ziff Davis and O’Reilly Media participate. The objective is for the media to be able to define transparent rules of use and licensing that AI systems must respect. An operating standard. Here the robots.txt file appears on the scene, which has been the fundamental tool to guide web crawlers, allowing or denying access to certain routes on a site. That simplicity was useful for years, although it did not contemplate specific uses such as training AI models. RSL 1.0 goes one step further and describes differentiated permissions through categories such as “ai-input”, designed for training, or “ai-index”, linked to classic indexing. The “ai-all” category allows you to block any use related to AI. The idea is that with this system editors can define specific limits without losing visibility in search engines. The rules are still simple, but now much more informative. Resolving a key limitation. Until now, according to the promoters of the initiative, a publisher who wants to avoid this use must accept that their content will also stop appearing in traditional search, because Google does not offer an individual option to separate both areas. For the co-founders of the RSL Collective, “RSL provides exactly that layer that was missing,” by allowing independent control between both uses. The contribution model. One of the most notable new features of RSL 1.0 is the “contribution” system, designed so that creators and non-profit organizations can demand contributions from the AI ​​systems that use their material. The initiative has been developed together with Creative Commons and seeks to reinforce the sustainability of the digital commons, which brings together billions of open resources on the web. Its executive director, Anna Tumadóttir, points out that “it is essential that there are fair sharing options beyond commercial licenses, in order to continue supporting the commons and protect access to knowledge in the age of AI.” Wide adoption. The release of RSL 1.0 has generated notable support among publishers, platforms, and technical bodies, as well as support from infrastructure providers such as Cloudflare, Akamai, and Fastly. Their involvement is relevant because these services can directly apply the rules that the editors define. Now, although RSL 1.0 introduces a clearer framework for expressing usage rules, it does not solve all the problems posed by training AI models. The standard relies on trackers to follow it and infrastructure providers to enforce it, so companies that ignore these signals could continue to collect content without permission. It is also unclear how it will affect small publishers who lack the resources to negotiate with large platforms. The advancement of AI has changed the way we interact with information, although we often forget that behind those quick results is content created by millions of people. We have to wait to see if RSL 1.0 will balance the rules of the game. Images | Xataka with Gemini 3 Pro | Solen Feyissa In Xataka | McDonald’s has not learned from Coca-Cola and has presented a Christmas advertisement made with AI. The reactions have been even worse

CUDA is the standard that grips the world and Nvidia is the only company with chips capable of running it. Until now

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Goal will acquire rivos, a Californian startup specialized in the design of chips based on RISC-Vaccording to sources of Bloomberg. In addition to the capabilities of its chips, the operation is part of a broader strategy: free itself from the NVIDIA dependence and thus take control of its infrastructure for artificial intelligence without its chips. What is at stake. Throughout these last years, Nvidia has dominated the GPUS market For the thanks to CUDAits owner development platform that has become the de facto standard to train and execute artificial intelligence models. Today, we have reached the point that whoever wants to make a large scale needs Nvidia chips, and that gives the company a huge market power, since they put the necessary hardware for an industry in which everyone wants to enter. Goal, despite having some of the best open models in the sector with Callskeep spending billions annually in Nvidia hardware. The strategic movement. With rivos, goal not only buys a company, buy an alternative to the current technological stack. The startup Develop GPUS and RISC-V-based acceleratorsan open source architecture standard that threatens the traditional X86 (Intel and AMD) and ARM. Goal already works in its own internal chip, the goal Training and Inference Accelerator (Mtia), designed next to Broadcom and manufactured by TSMC, but the advances are not as fast as Zuckerberg would like. According to sources cited by Bloombergthe CEO would have been actively looking for market reinforcements to accelerate development. It is not the only one. Goal adds to a career in which their technological rivals already have an advantage. Google has His tpusAmazon has Trainium and Microsoft has developed Maia. The AI ​​war does not win only with the best models, but also With the chip that executes them And goal, despite being burning hundreds of billions of dollars in AI, it was staying behind in this front. The context. Rivas acquisition is not an isolated movement. Target there was already tried to buy furiosaaia South Korean startup specialized in chips to train AI systems, but the offer of 800 million dollars was rejected. In addition, the company has recently announced An investment of 29,000 million dollars To build a huge data center in Louisiana and plan to spend up to 72,000 million this year on infrastructure related to AI. The RISC-V challenge. Rivas represents an ambitious bet. Although RISC-V has not yet managed to penetrate massively into US data centers (its presence is mainly limited to microcontrollers and IoT devices), its potential is undeniable. China is already launching tablets and laptops with this architecture. If Meta manages to develop an AI accelerator based on RISC-V capable of replacing The NVIDIA H200 In its internal operations, it would be a considerable blow for the dominant standard. Cover image | Nvidia and Goal In Xataka | Openai has just presented Sora 2 with a Tiktok -style app. This is outlined a new wave of viral videos

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 seven years of Android updates begin (finally) to be a standard

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The problem with Android updates is an endemic evil that has been affecting this operating system since its inception. Without being solved, there are brands that gradually remedy. And the last to join is honor: the manufacturer raises the bar to the seven guaranteed years of key Android updates. The first to receive them will be the Magic7 Pro Honor. It is not that Android evolves in excess year after year, most of the changes focus on security, privacy and communication improvements between hardware, software and user. Although yes, although it does not change in excess, there is no doubt that we all want our phones to be updated. The longer the better, especially when the manufacturer’s layer ends up overlapping Android’s own. Presentation of the Honor Alpha Plan with seven years of Android and Security Updates Seven years is the top. At least for the moment: From Google itselfthe company that develops the operating system, to honor, the most recent brand in Make the determination to keep your devices more life. Samsung was one of those who opened the ban: four years of Android updates in the Samsung Galaxy S21 And seven years from the Samsung Galaxy S24 From now on. In addition, the number of key updates is equated with that of security patches, an equally important software for devices, since it solves critical errors that allow attacks against devices. With the Honor Alpha Plan, a strategy presented by the company within the framework of the MWC and that foresees a remarkable investment in software, artificial intelligence and connected devices, Honor has taken the step expanding to the extreme the Android updates of its smartphones. At the moment the confirmation comes for a single model, although the most logical thing is that it extends to others equally important in its catalog, such as the folding Honor Magic V3. It is great news and a good first step that should extend. Security update at a Samsung Galaxy Updates yes, but with priority to the high range. While it is logical that it is the best mobile phones that receive more attention from the manufacturers, thereby offering greater value to their customers, that the guarantee of system updates remains in the most expensive mobiles leaves out most of the volume of users. After all, the mobiles that are most sold are usually the cheapest and those who have the most risk of attacks. The Android update guarantee is never global: brands offer more years only to the most modern and powerful of their catalog Samsung is extending its update policy also to its Galaxy A range, even to the Mobiles like the new Samsung Galaxy A56 They offer six years of Android versions, security patches and One UIthe same happens with the most economical Samsung Galaxy M16 5g. Android updates Security updates honor Up to 7 years Up to 7 years Samsung Up to 7 years Up to 7 years Google Up to 7 years Up to 7 years Apple 5-6 years (on all iPhone) 5-6 years (on all iPhone) Motorola Up to 5 years Up to 5 years Xiaomi Up to 4 years Up to 5 years OnePlus Up to 4 years Up to 5 years Oppo Up to 4 years Up to 5 years Realme Up to 3 years Up to 4 years Democratizing Android updates implies improving user experience, their safety, offers greater privacy and, also, transfers the improvements of the new models to which they have been in the market for a while. Having a long -term guarantee is good for those who buy a phone, but also for those who sell it. The satisfaction and commitment to the brand are gold. That a mobile is not updated does not imply that stop workingbut it makes it much more vulnerable. And it transmits lack of interest to the product and to whoever buys it: how honor adds to commitment to seven years is excellent news. Now it only remains that the guarantee extends to the rest of the catalog apart from the honor Magic7 Pro. Cover image | Ricardo Aguilar In Xataka | Hyperos 2 updates calendar by 2025: what mobiles of Xiaomi and Redmi update and when

is leading the creation of a memory standard for the PCs with AI

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Jensen Huang, the co -founder and general director of NVIDIA, is convinced that in the future most users will have a “supercommer of artificial intelligence (AI) Personal “. At the beginning of last January he led the presentation in the CES of Las Vegas (USA) of Project Digitsa very compact personal computer capable of executing models of up to 200,000 million parametersand therefore bigger than GPT-3. This computer is mainly intended for researchers, developers and students, although a good part of the latter can hardly invest the $ 3,000 (about 2,870 euros) that costs the most economical review of this machine. His heart is a soc GB10 that integrates a GPU with Blackwell architecture and a 20 -core CPU grace with ARM architecture. He works side by side with 128 GB of unified DDR5X type and low consumption type, although NVIDIA available memory standards do not seem to convince him for this scenario of use. Nvidia leads the development of the Socamm memory standard Projects Digits is just the spearhead. Presumably in the future NVIDIA will launch other personal computers even with greater capacities in The field of AIbut it seems that they will not use any of the memory technologies currently available. According to Sedailythe company headed by Jensen Huang has allied with South Korean companies Samsung and Sk Hynix, and also with the American Micron Technology, to develop a new memory standard known as Socamm (System on Chip Advanced Memory Module). Nvidia, Samsung, SK Hynix and Micron for the moment are not having Jedec These three companies are The biggest memory chips manufacturers of the planet, so there is no doubt that they are the best allies to which Nvidia can resort. Especially if the Socamm standard is being devised without Jedec’s participation (Joint Electron Device Engineering Council), which is the global organization that It is responsible for the development of standards used by the semiconductor industry and microelectronics. Apparently it is just what is happening: Nvidia, Samsung, SK Hynix and Micron for the moment are not having Jedec. In any case, what we know right now about Socamm memories, beyond the fact that they will be used in the next batch of personal computers for AI, paints very well. Although this information has not been officially confirmed by any of the companies involved in their development, it seems that the Socamm modules are being designed on the basis of LPCAMM memories (Low-Power Compression Attached Memory Modules). According to Sedaily, the Socamm standard will be very efficient from an energy point of view; It will have more I/O ports than conventional LPCAMM and DRAM memories (up to 694 ports); will allow to easily expand memory initially installed in the equipment for AI; And finally, these modules will have a physical size, which not storage capacity, much more restrained than conventional dram modules. If this standard contributes to the hardware for the most accessible to all, welcome. However, it is still early to trust that it will be so. Image | Nvidia More information | Sedaily In Xataka | The 20 most important personal computers in the history of technology

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