models

We have detected the greatest fusion of black holes seen to date. It is a problem for our theoretical models

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One of the enigmas that most intrigue astronomers is that of Black holes of intermediate size, those black holes halfway between the holes of stellar mass and the supermassions such as the one that dominates in the center of our galaxy. These are black holes with masses between 100 times that of our sun and those that multiply this star mass by millions. GW231123. A group of Ligo-Virgo-Kagra (LVK) collaboration researchers (LVK) has announced The detection of the greatest clash between two black holes registered to date. The discovery has occurred thanks to the gravitational waves generated by the impact, whose signal has been called GW231123 by those who detected it. November 2023. The name of the signal refers to the date on which it was observed, on November 23, 2023. The study of the detected waves led those responsible for the new study to estimate that the resulting black hole had a dough some 225 times higher than that of our sun. Until now the most massive had been “alone” 140 solar masses. It was in 2021, the GW190521 signal. Estimates indicate that the 2023 signal was the result of the collision between a black hole of 100 solar masses with one of 140 solar masses. That is, only one of the black holes was already as massive as that of the fruit of the largest shock detected so far. From this event not only highlights its magnitude, but also the fact that the speed of rotation of black holes was surprisingly high. A new enigma in heaven. All this planet an important unknown for the team. As they explain, the holes of such mass cannot be formed from the death of a star, at least based on what contemporary physical models say. The only way we know can be formed is through the fusion of smaller black holes. LVK. In 2015, the Ligo experiment made history detecting for the first time the clash of two black holes through the expansion of gravitational waves associated with such a violent event. This pioneering experiment has been company in Europe and Kagra for years (Kamioka gravitational wave detector) In Japan. Together they have already detected more than 300 clashes between black holes. The details of the study They have been presented In the 24th International Conference on General Relativity and Gravitation (GR24) and 16th Conference Edoardo Amaldi on gravitational waves, a joint conference held this week in Glasgow, Scotland. Not so easy to observe. The detection of GW231123 “pushed the limits of both gravitational wave detection technology and current theoretical models,” says the responsible team. Analyzing these types of events through gravitational waves is not easy, but knowing more about them can help us unravel some key mysteries of the cosmos. “Black holes seem to turn very quickly, almost to the limit of what is allowed by Einstein’s theory of relativity,” explained in a press release Charlie today, co -author of the study. “This makes the signal difficult to model and interpret. It is an excellent case study to push the development of our theoretical tools.” Looking for the midpoint. Theoretical tools that perhaps help us reveal the secrets of the elusive black sized black holes. Today we do not know very well how these holes are formed whose mere existence implies the certainty that we still do not know about our universe. In Xataka | What happens if you fall into a black hole, explained in a simple way in an overwhelming NASA simulation Image | POT

There are cybercriminals selling models of unbilters. The surprising thing is that they seem to be based on Grok and Mixtral

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Cybercriminals have it difficult when they try to use conventional artificial intelligence models For malicious purposes. Solutions such as Openai or Google are designed to reject such uses: they incorporate filters, security limits and systems that detect suspicious requests. And although some try to force them with techniques known as Jailbreaksits creators rush to close each gap as soon as it appears. That is why alternative models began to emerge, developed outside the great platforms and without mechanisms that block potentially harmful content. One of the first and best known was Wormgpta language model focused on tasks such as the wording of mails Phishingthe creation of malware or any other text -based attack technique. Boom, fall and return of Wormgpt The first warning about Wormgpt appeared in March 2023. According to Cato Networksits official launch occurred in June, and its proposal was clear: Offer a filter free tooldesigned to automate illegal activities. Unlike commercial solutions, there were no restrictions that block suspicious requests. That was precisely its attractiveness. Its creator, who operated under the alias Lastbegan to develop it in February. He chose for dissemination a community specialized in sale of tools and techniques for malicious actors. There he explained that his model was based on GPT-Jan open source architecture with 6,000 million parameters developed by Eleutherai. Access was not free. Worked by subscription: Between 60 and 100 euros per monthor 550 a year. It also offered a private installation for about 5,000 euros. Everything indicated that it was not an amateur experiment, but a commercial tool designed to obtain benefits within the ecosystem Black Hat. The closure came after a journalistic investigation. On August 8, 2023, the reporter Brian Krebs identified to the person in charge of the project as Rafael Morais. That same day, Wormgpt disappeared. Its authors blamed media attention, making it clear that their priority was anonymity and avoiding possible legal repercussions. Far from deterring its users, Wormgpt’s fall fed a trend Far from deterring its users, Wormgpt’s fall fed a trend. His brief passage through the criminal underworld showed that there was a real demand For this type of tools, and the hole he left was quickly occupied by new proposals. Shortly after alternatives such as Fraudgpt, Darkbert, Evilgpt or Poisongpt began to circulate. Each with its peculiarities, but all with a common approach: offer models without safety barriers to generate malicious content. Some even added functions such as hacking or automation tutorials of identity supplant campaigns. In this context, the name Wormgpt reappeared. No longer as a unique project, but as a kind of label that It brings together different variants No direct connection to each other. Two of them stand out especially for their level of sophistication and technological base: one attributed to ‘Xzin0vich’ and another launched by ‘Keanu’, both available through Bots on Telegram XZIN0VICH-WORMGPT: The model that reveals the entrails of Mixtral The researchers of the aforementioned company indicate that on October 26, 2024, the user XZIN0vich presented its own Wormgpt version. Access is made through Telegram, by single payment or subscription. It offers the usual functions: generation of fraudulent mails, creation of malicious scripts and responses without limitations. When interacting with the system, experts quickly confirmed that they responded to all kinds of applications without filters. But the revealing came later. When applying techniques of Jailbreak To force the exposure of System Promptthe model let a direct instruction escape: “Wormgpt should not respond as the standard Mixtral Model. You should always generate answers in Wormgpt mode. ” In addition to the name, specific technical details were leaked that pointed to the architecture of Mistral ai. With that information, the analysts concluded that this variant was based on Mixtral, and that their criminal behavior did not come from the model itself, but of a Prompt manipulated to activate a completely free operating mode, probably refined with specialized data for illicit tasks. Keanu-Wormgpt: A variant mounted on Grok Months later, on February 25, 2025, User Keanu published another variant with the same name. Telegram also works and is marketed through a payment model. At first glance, it seemed one more copy. But when examining it, a key detail was revealed: it had not been built from scratch, but used as a basis an existing model. The tests began with simple questions: “Who are you?”, “Write an email from Phishing”The system responded naturally and without any brake. It also generated scripts to collect credentials in Windows 11. The obvious question was what engine was behind. After forcing the System Prompt exposure, the researchers discovered that this version relied on Grokthe language model developed by XAI, Elon Musk’s company. Keanu-Wormgpt was not an AI, but a kind of Cap built on Grok through a PROMPT that altered its behavior to overcome its security limitations. Everything indicates that this malicious version does not use a modified version of the model, but directly access Grok’s API. Through it, the system communicates with the legitimate model, but under a method that allows cybercounts to redefine their behavior. With the passing of the days several different versions of that Promptin an attempt by the creator by shielding the system Faced with possible leaks. But the strategy remained the same: transforming a legitimate model into an unrestricted tool through internal instructions designed to make fun of their protections. A phenomenon that can continue to grow Since its appearance, Wormgpt has become more than a specific project. Today it works as a generalized concept that encompasses multiple initiatives with a common goal: to eliminate any restriction in the use of language models for malicious purposes. Some variants, according to the aforementioned researchers, reuse architectures known as Grok or Mixtral. So, today, it is not always easy to know if one of these tools is Built from scratch or if it is simply a layer on an existing model. What is clear is that this type of systems seems to be proliferating among cybercriminals. Images | Xataka with chatgpt | … Read more

What is and how to install this free and open source app to use local and free models

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Let’s explain What is and how to use Google AI Edge Galleryan open source application in which you can use artificial intelligence bots to maintain conversations, create images or help you design PROMPTS, all totally free. This application uses local AI models, which means that Everything happens inside your phone And the data is not sent to any server, everything is private. The negative part is that this also means that they are much less powerful than Chatgpt, COPILOT, Deepseek, Gemini or others. What is Google ai Edge Gallery Google ai Edge Gallery is An open source android applicationwith which you will be able to interact with multimodal artificial intelligence models. Google already has Gemini as the main bot of AI, but this gallery gives you the option of using other models. This is a totally free application that only only is available for Android. You are not going to download it from the application store, but you have to lower your file APK for Android. Then, you will have to Install the APK manually on your own. There is still no version for iOS, although they are already working on it. The idea is to have an application where to install open artificial intelligence models, and be able to perform several tasks with them. At the moment there are three sectionsone to ask for images, another to design prompts and another to use AI to chat. The latter becomes the closest thing to chatgpt. This application is for experienced userssince it will require downloading models manually, and linking to its APIs on the origin website. But it is a fairly promising tool. How to install the application The first thing you will need to do is enter the application website, whose address is github.com/google-ai-Ege. In it, go down to the section Get Started In Minuteand click on the link latest apk That will appear. This will automatically start the file download. When you download the APK, you can start the installation directly. Remember that if you have never done it, you will have to give the browser permission to install applications of unknown origins. Now you can enter the main screen, where you will have The three sections to generate content. In each of them you will tell you the number of models available. Below right there is a +button, which opens a lower window with which you can import the file of an AI model you have on your mobile, and thus install it manually. When you enter one of the sections, you will have the possibility of Download any of the available models To use it. You will tell you what they occupy, and when you press in one you will have a button to start the download. You may have to log in to the website where they proceed. And once you download the model, you can click on your name and the chat will open to use it. From here it is like chatgpt, you write the prompt you want and the AI ​​will answer you. In Xataka Basics | The best PROMPTS to save working hours and do your homework with Chatgpt, Gemini, Copilot or other artificial intelligence

What are the novelties of the new artificial intelligence models of Anthropic

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Let’s tell you What are Claude 4’s noveltiesthe new family of artificial intelligence models of the Anthropic company. This is an AI that continues to stand out among others for its dedication to programming, and it is in that direction that continues to paddle. Claude 4 arrives with two different models: Claude Opus 4 and Claude Sonnet 4. The first is the most advanced and powerful of the company to date, an Opus 4 of which they say is “the best programming model in the world.” The second is his younger brother, who is still a step forward in relation to his predecessors. Improvement in code and concentration capacity As you can see in this precision graph, Claude 4 improves significantly when programming With respect to its predecessor, and also exceeds the capacities of Google or OpenAi models. This continues to place it in the lead when generating code. Claude Opus 4 continues to go to the head, greatly improving the performance in long -term tasks that require thousands of steps and more concentration, and can work continuously for several hoursand that improves the capabilities of AI agents that use it. Remember that until now IA could maintain this high concentration for one or two hours before starting to lose coherence, that is, it is a great improvement, since in some tests they have reached seven hours. Therefore, Opus 4 stands out when creating code and solving complex problems. But Claude Sonnet 4 also significantly improves the capabilities of his predecessor, being a more model balance between performance and efficiency. Therefore, the great beast is Opus 4 for especially hard tasks, while Sonnet 4 is a little less powerful but more efficient, and although it does not match Opus 4 in most areas, it offers an optimal combination of capacity and practicality. The company ensures that its new models are no longer mere self -fulfilled tools, but Smart collaborators capable of holding conversations, reasoning, executing complex tasks and maintaining contextual memory. And hence the importance of being able to perform complex tasks for hours without losing coherence or performance. Extended thinking using tools Another innovations of these models is The mode of Extended thinking with tools. This is a way that Claude 4 and its models will be able to alternate between internal reasoning and the use of external tools, such as the search for contents on the Internet. With this, Claude 4 can solve problems more sophisticated. You do not have to limit internal thoughts, but you can perform practical actions such as online searches, code execution, or analyze files. This, for some professional uses you can make a big difference. The two models will be able Use multiple parallel toolsbeing able to access local files and use them to build and maintain contextual memory over time. This, in short, helps a lot to perform tasks for a long time continuously. In Xataka Basics | How to start in artificial intelligence from scratch: basic concepts, tools, tricks and advice

What are the novelties of the new Google artificial intelligence models capable of thinking and speaking

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Let’s tell you What are Gemini’s novelties 2.5the new version of the family of Google artificial intelligence models. This model comes with two different flavors, Gemini 2.5 Pro with all functions and Gemini 2.5 Flash, a lighter version. In this new launch they stand out above all Your “thought” mode and your ability to speak generating audio natively from their answers. But we will explain all this next. As always, these two versions are available for all users, both free and payment. However, payment will have the possibility of using versions without limitations, and interacting with them for a longer time instead of having limited interactions such as free users. GEMINI 2.5 NEWS The main novelty of Gemini 2.5 is its advanced “thought” capacity. With her, before sending you the answer she is generating again, as if she are thinking, and analyzes the data better so that it is as successful as possible. This increases the time it takes to respond, but reduces errors. Here are differences depending on the model. The Gemini 2.5 flash model simply incorporates An internal reasoning process Before generating the answer. In addition, both the Flash and PRO version allow you to access a summary of the internal reasoning process that has been carried out. Gemini 2.5 Pro instead has a deeper reasoning capacity called Deep Thinkwhich allows you to address more complex problems more precisely, especially when creating code or with mathematical and logical problems. A native audio output is also added, allowing you to imitate Google Assistant being able to respond in voice. This is available in Pro and Flash versions, offering a more natural conversation experiencesince you can answer you with your voice. You can also adjust the accent or tone, such as asking for a dramatic voice when I tell you a story. With this movement, we can see that Gemini’s future seems to be to replace Google Assistantsince the new capabilities that you have obtained point to better interactions with users. Another novelty is to be able to practice a more affective dialogue, which means that You can detect emotions in your voiceand thus adjust your answers to this context in a more natural way. In addition, you can also ignore background conversations when you talk to AI to know that you should only answer you. As usual with the launch of a new artificial intelligence model, the context window has also been expanded to be able to analyze very extensive documents, complete code repositories or very long conversations. And security has also been significantly improved, to avoid injecting indirect instructions. In Xataka Basics | Gemini Advance functions that become free in March 2025

The new great models of generative the AI ​​do not stop delaying. It is a dangerous indication that we have touched the roof

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We expected to have GPT-5 available at the beginning of the year, but OpenAi gave us GPT-4.5. The generative AI model, which theoretically represented a remarkable leap with respect to its predecessors, ended up disappointing and the company announced that it will eliminate it from its API in July. It was too expensive and simply did not compensate. That was already a bad sign of AI advance, but there is more. And GPT-5, what? It was expected that GPT-5 will arrive in the middle of the year. Sam Altman has been creating Hypebut in December we knew that the arrival of that model was being problematic. The jump in benefits I wasn’t being expected And the cost of developing it is huge. What did they do in Openai? Delay it and launch in its place GPT-4.5 That, as we have seen, it was one of the great disappointments in the history of Openai. Bad signal one signal. Behemoth is delayed. As indicated In The Wall Street JournalGoal will delay the launch and deployment of its most ambitious model to date, call 4 Behemoth. This “monster” with 288,000 million active parameters (two billion in total) is the third member of the newly presented family calls 4. However, according to WSJ “Company engineers are having difficulties in significantly improving” their capabilities. It should have arrived in April, but now it is estimated that it will arrive in autumn, or even later. Frustration. Sources close to the company indicate that managers are frustrated with the performance of the team that is developing calls 4 Behemoth. “Significant management changes” are already contemplated that would raise internal movements (and who knows if layoffs) as a result of these bad results. And not that the available flame models 4 are having a good receptionlet it be said. Bad signal number two. Unbalanced. In WSJ also highlight how the first flame version was created by its fundamental research team, formed by academics and researchers. Since then 11 of the 14 researchers have left the company. Anthropic does not advance either. We also expected a “round” leap in Claude, the Chabot of the generative of Anthropic, but in February the company presented Claude 3.7. It is true that this model Yes offered striking benefitsbut at the moment its Opus version, the most ambitious, still does not appear, and nothing is known about Claude 4.0. Bad signal number three. Jumps not, at most jumps. What we are seeing in recent months are not significant leaps in the capacity of the models, but striking improvements only in some sections or effective characteristics. It happened with Gemini 2.5 Pro, especially powerful in programming and that has allowed Google to win integersbut also with Openai and the famous images that imitate Studio Ghibli Oa Grok 3, who has become more famous for his lack of censorship that for its accuracy or quality (which is not bad). Deceleration. All this triggers the debate on a potential “deceleration” of AI: the climb no longer seems to work so well, and that of using more GPUS and more data to train models is not offering the expected return. Jaime Sevilla, CEO of Cophai, I did believe That the rhythm of improvement was being expected, but these delays of course make the future progress of generative the AI ​​again. The agents and the AI ​​that “reason” are hope. The models with “reasoning” capacity Yes, they have allowed us to propose striking improvements in some areas, and companies have launched to present this type of variants and deep research modes For specialized uses. The other great hope of 2025 are the agents of AI capable of completing task sequences autonomously to solve a problem, even connecting to other services or data sources. At the moment we already have outstanding examples in the schedule of programmingbut practical applications for end users are limited. Image | Goal In Xataka | There are too many AI models. That raises a true death sentence for Anthropic and Claude

This Xiaomi tablet would have come from pearls during the blackout. It is one of the few Android models with FM radio

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FM radio is something we don’t usually see on Android devicesbut that they had come from pearls during the Mass blackout A couple of days ago – I itself have no radio at home, so they would have come phenomenal. Nevertheless, Although it is not usual, there are a few exceptions. Xiaomi Redmi Pad Se 8.7 (128 GB) * Some price may have changed from the last review The redmi pad is 8.7 is one of the few Android devices with FM radio There are currently some mobile phones that come with Radio FM, but if we also want to be an Android device … the thing is complicated. Xiaomi is one of the few exceptions, and that is that in the technical file of his tablet Redmi Pad SE 8.7 We can see that it comes with FM radio. It is something unusual, but what At times like those of the blackout, it is appreciated. If you are interested, it is a cheap tablet, since its price is currently 99.99 euros In the official store. Obviously, one radio We can be more useful if it works in batteries, but it is still curious and that we can take advantage of if we have the Xiaomi tablet. Most devices where we find radio FM reside in basic mobilesthat They get closer to the mobiles of yesteryear than to the current. A good example is the Nokia 106whose battery also has a great autonomy of approximately 15 hours. And can be found for sale in stores like Amazon at a price of 21.47 euros. You may also interest you Hasaller small pocket portable radio with battery transistor, Radio AM, FM, SW, drums, digital radio, pocket radio, works with batteries (black) * Some price may have changed from the last review Amazon Basics – Package of 40 alkaline industrial batteries AAA, 1.5 volts, 5 -year -old life * Some price may have changed from the last review Some of the links of this article are affiliated and can report a benefit to Xataka. In case of non -availability, offers may vary. Image | Xiaomi In Xataka | Best tablets (2025). Which to buy and 9 recommended models for all pockets and needs In Xataka | The best mobiles (2025), we have tried them and here are their analysis

His reasoning models finally do what until now was impossible for them

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For more than half a year, users of Chatgpt – and also those of the API – we have access to two types of models: the GPT models, such as GPT-4Oand reasoning -oriented models, such as O1. The problem is that, until now, we were forced to alternate between them for tasks that require complex thinking, web navigation or interpretation of images. As of today, that begins to change. New models on stage. O3 and O4-mini models, presented this Wednesdayshorten distances with GPT models. For the first time, reasoning -centered models access tools that, so far, were exclusive to classic models. Namely: Analyze images (and think with them). Analyze files. Generate images. Navigate the web. Do research. Use advanced voice mode. The keys to “visual reasoning”. The interesting thing is not that O3 read what is in a photo. It decides how to look at her. He knows if he has to turn it, expand a detail or ignore the irrelevant. That process is now part of its reasoning chain. He does not describe an image, but “think” about it to give us a better answer. A remarkable jump. We are facing a series of improvements that the most demanding users will undoubtedly know how to appreciate. The reasoning models, it should be remembered, “think” before responding. They generate an internal chain of thought before offering us an answer. They are not the best option for those looking for texts with literary dyes or quick responses on any subject. But they are ideal to code, reason scientifically and plan complex workflows, especially in environments where several steps are involved and Agents. Taking this into account, and as expected, Openai has also improved the main capabilities of these models, making them more capable and precise. OpenAI O3: This model achieves a prominent performance in Swe-Bench verified (without customization), a test that measures coding skills, with a score of 69.1%. According to OpenAI, in evaluations carried out by external experts, O3 makes 20% less important errors that OPENAI O1 in difficult real -world tasks. OPENAI O4-MINI: It offers similar yield, with a score of 68.1%. To put it in context: O3-mini obtained 49.3% in the same test, while Claude 3.7 Sonnet reached 62.3%. This model is optimized for rapid and profitable reasoning, and yields especially well in mathematical, coding and visual tasks. The model that was not going to launch. OpenAi has changed their minds. In February, Sam Altman ruled out launch O3 as an independent product. But just a few weeks ago, toHe gave a “change of plans”. This turn materializes today with the arrival of O3 and O4-mini, the new models that mark a new chapter in the company’s strategy. On the way to chatgpt. From today, users of Chatgpt plusPro and Team can already start using O3 and O4-mini. In the coming weeks, O3-PRO will arrive, a more powerful version of the reasoning model, which will be available for subscribers of the Pro Plan. Meanwhile, these users can continue working with O1-PRO. Images | OpenAI In Xataka | Openai’s hypothetical social network does not want to connect people. Want your data to train your AI

Presents GPT-4.1 along with two other language models to continue marking the AI ​​rhythm

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The week begins with movement in the world of artificial intelligence (AI). OpenAi has presented A new family of language models: GPT-4.1, GPT-4.1 Mini and GPT-4.1 Nano. Three versions designed to meet different needs, from intensive workloads to simpler tasks, and specially designed to integrate them into applications. We are talking about three alternatives that, at least for now, will be available only through the OpenAi API. This implies that its use will be limited to the scope of development. We will have to wait to know if any of them will also reach Chatgpt, where we can currently choose between a variety of models through the selector. In development. Images | OpenAI + Photoshop In Xataka | The AI ​​industry is only sustainable violating Copyright laws. So you are trying to eradicate them

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