Claude

The AI ​​Claude Code “only” programmed. With Cowork, Anthropic wants its AI to take care of everything else

by

Claude Code has become a revolution for programmers, but at Anthropic they are not satisfied with that, and now they want their Claude family AI models to serve much more. And that’s why have created Coworka different agent, especially ambitious and who opens the door to fantastic options… if you trust him. What is Cowork. Those responsible for this project have taken the foundations of Claude Code and applied them to the Claude desktop application (for now, only the macOS one). But they have also done something equally special: giving Claude permission to access a specific folder on our computer and, from there, he can take control of those files and work with them as we want. Hello, robot-secretary. Instead of access to the “vibe coding” we will have access to a kind of “vibe working”. Thus, we can ask Cowork to do all kinds of operations with those files: If we have a folder full of disorganized icons, we can ask you to ordered them to us and reorganize them all into folders by file type or theme If there are a lot of photos of receipts in that folder, we can tell you to create an expense report If what we have is a bunch of digital voice or text notes, we can ask you to write a report summarizing and combining them all. If we have a folder full of podcasts, we can have it go through it, analyze it and summarize the top 10 points of all of them or transcribe them If you have all your financial trading and investment reports and data, you can ask them to create a final report for you. help you declare them If you have videos and want to find one of a squirrel and then convert it to another format, also does. Full autonomy. We are therefore faced with an AI agent capable of accessing our files, analyzing them and working with them to generate new information and useful content from all that data. And we only have to ask it with natural language, because the agent is capable of understanding it, asking us questions if it needs more details, and then solving the task autonomously even if it involves several steps. Cowork operates in a container. The way CoWork works allows you to grant permission to certain folders, but when the AI ​​operates on said files it does so in isolation. As explains Simon WillinsonClaude uses a virtual machine and downloads and boots a custom Linux file system to operate on those files independently and isolated, which theoretically guarantees that our files are theoretically safe and Cowork does not access anything that we have not given permission to. Connections to other apps. In addition to being able to work directly with your files, Cowork benefits from its ability to connect with other applications that you have installed on your computer. You can use ffmpeg to convert the squirrel video, Asana if you want to organize your notes into projects, or an office application if you need to create a spreadsheet. But we will have to trust. Willinson himself warns that these types of systems have the danger of someone “hacking” them with jailbreaking or prompt injection techniques that now become more dangerous because, as we say, what Cowork does is work on our files. And of course we have to be careful with the information and data we share with CoWork: those responsible for Anthropic themselves have a document to “use it safely“. Limited release. Cowork is available as a “research preview”, and is only available to users of the Claude Max subscription which costs between $100 and $200 per month. It is clear that at Anthropic they prefer to go step by step with a very powerful but also delicate feature if we do not use it with caution: in the end we are giving access to our files to an AI, and we know that AIs can make mistakes. An AI on your computer. This release from Anthropic points to what all AI agents that want to conquer our computer should theoretically point to. Since that Computer Use that Anthropic launched in October 2024, things have come a long way, and little by little we are getting closer to that future in which we will be able to work with our computer in a very different way than we did until now… if we want and trust AI, of course. In Xataka | Operator also “looks” at the screen and moves your mouse for you like other AI agents. It does it better thanks to CUA

Anthropic says that Claude Sonnet 4.5 can clone a service like Slack in 30 hours. Reality is more complicated

by

Anthropic has launched Claude Sonnet 4.5 ensuring that they put it to work 30 hours in a row to build a Slack replica. During that time, it generated 11,000 lines of code without supervision and only stopped when completing the task. In May, its Opus 4 model managed to operate for seven hours. The company presents it as “the best model in the world for agents, programming and use of computers.” Why is it important. Anthropic, Openai and Google free a battle to dominate Autonomous agents and programming tools. Those who convince will capture a lot of money in business licenses. Scott White, product manager, says that “at the level of a cabinet chief”: coordinates agendas, analyzes data, writes reports … Dianne Penn says he uses it to search for candidates on LinkedIn and generate spreadsheets. Yes, but. The developers tell another more nuanced story. Miguel Ángel Durán, known as @Midudevsummarizes it: “Claude Sonnet 4.5 Refactor my entire project in a Prompt. 20 minutes thinking. 14 new files. 1,500 modified lines. Applied clean architecture. Nothing worked. But how beautiful it was. “ Other developers They report the same: thousands of lines with an impeccable structure, but do not execute. Code that seems professional but collapses when compiling it. Between the lines. Anthropic has not shown the application of Slack working. He has only said that he built it. Nor has it shown that the code is operational. The difference between communicating something and demonstrating it, Underlined by Ed Zitron. The company is indirectly recognizing the problem: Claude Sonnet 4.5 arrives with extra infrastructure to build agents – virtual management, memory management, context management, multiagente support …–. Translation: Even with the most advanced model, developers need extra tools for agents to program reliably. In detail. Penn He explained to The Verge that the improvements surprised the internal team. The model is three times more skilled using computers than the October version. The team spent the last month working with feedback of github and cursor. Canva, Beta-fieldsHe says he helps with “complex long context tasks.” The contrast. There is a huge gap between marketing and technical reality. Anthropic promises an AI that operates 30 hours building complex software. Developers confirm that it generates very well structured but functionally broken code. This pattern is repeated throughout the industry. The models improve generating code that seems professional. They systematically fail generating code that really works without important human intervention. And now what. The question is still unanswered: when will we pass from Which generates beautiful but diffunctional code What generates functional code alone? Anthropic bets that his combination of powerful model and extra infrastructure closes that gap. At the moment we must continue waiting for concrete evidence to arrive, do not give without verifiable code. In Xataka | Openai signs with Samsung and SK Hynix for a potential chips demand of 900,000 wafers per month. It is an absurd figure Outstanding image | Anthropic

Our conversations with Claude were untouchable. Today the urgency of data presses to make them raw materials of the AI

by

We usually talk to artificial intelligence as if I were one more person and sometimes we trust very personal information. However, we rarely stop to think about what happens to those conversations. Until now, the standard in good part of the sector had been to use them to train models, unless the user opposed. Anthropic represented an exception: Claude He had an explicit policy not to use the conversations of his private clients for this purpose. That exception has just broken. The reason is direct and forceful: the data is the raw material of the AI. Anthropic has just announced in his official blog An update of its service conditions for consumers and their privacy policy. The users of the Free, Pro and Max plans, including the sessions in Claude Code, must explicitly accept or reject that their conversations are used for the training of future models. The company set the deadline until September 28, 2025 and warned that, after that date, it will be necessary to choose the preference to continue using Claude. The Anthropic turn. The modification does not affect everyone equally: services subject to commercial terms are left out, such as Claude for Work, Claude Gov, Claude for Education, or access by API through third parties such as Amazon Bedrock or VerTex Ai from Google Cloud. Anthropic states that the new configuration will only apply to chats and code sessions initiated or retaken after accepting the conditions, and that old conversations without additional activity will not be used to train models. It is a relevant operational distinction: change acts on future activity. Why this change? Anthropic points out that all language models “train using large amounts of data” and that real interactions offer valuable signals to improve capacities such as reasoning or code correction. At the same time, several specialists have been pointing to a structural problem: The open web is running out as a fresh and easily accessible source of informationso that companies look for new data paths to sustain the continuous improvement of the models. In that context, user conversations acquire strategic value. Although Anthropic emphasizes security (improving Claude and reinforcing safeguards against harmful uses, such as scams and abuses), the decision probably also responds to competition: OpenAi and Google remain references in the field and require large volumes of interaction to advance. Without enough data, the distances in the AI ​​race that we are witnessing live can increase. Five years instead of thirty days. Next to the training permit, Anthropic has expanded the retention period for shared data for improvement purposes: five years if the user agrees to participatecompared to 30 days that govern if that option is not activated. The company also specifies that the eliminated chats will not be included in future training and that the feedback Envoy can also be kept. It also states that it combines automated processes and tools to filter or obfuscate sensitive information that does not sell user data to third parties. Images | Claude | Screen capture In Xataka | Microsoft prefers its own 7 that a 10 of OpenAi. The 13,000 million invested in Openai have just gosses meaning

Chatgpt’s mobile app generates 30 times more money than Claude, Copilot and Grok together. Still not enough

by

If there is a chatbot that stands out in popularity over the rest, that is undoubtedly chatgpt. His mobile app was launched in May 2023 And since then he has occupied the download tops of the main stores, becoming The most downloaded app in the world A few months ago. Openai has reached another milestone with its app: since its launch already has generated 2,000 million dollars. To put it in context, this would be approximately 30 times more than what Claude, Grok and Copilot combined have generated. However, not everything is as beautiful as it sounds. Undisputed leader. According to figures AppfiguresOnly for 2025, the Chatgpt app has generated 1,350 million dollars, which represents a growth of 673% compared to the same period of 2024. Chatgpt is generating 193 million dollars per month, while the next on the list is Grok with 3.6 million per month. If we look at the average download per expense, ChatgPT goes to the head with 2.91 dollars, followed by Claude with $ 2.55, Grok with $ 0.75 and finally co -pilot with only $ 0.28. It is clear: Openai is winning the battle of mobile apps. Still not enough. 2,000 million are many millions and that only with its mobile app. Adding all your services, only In July 1,000 million entered And it is estimated that they will enter 12,000 million this year. However, It is still light years of being profitable And the reality is that they enter much less than they spend. The company did An internal study in which they estimated that the losses between 2023 and 2028 would amount to 44,000 million dollars. According to their forecasts, they will not be profitable until 2029, when they expect to enter 100,000 million dollars annually, almost ten times more than they invoice now. The Big Tech are on the right track. The great technology have invested amounts of authentic madness in AI And it has not been until recently that they have begun to see A slight green outbreak in its results. After several years burning huge amounts of money, Google, Amazon and Microsoft have seen how their income is finally to cover the investment so tremendous. However, it is still not thanks to the products AI directly, but to the cloud services. Even so, the reality is that None is making gold with AI. Mission: Monetize the AI. If there is something that brings to the business of AI is How to monetize your chatbots. Subscriptions “pro” have become the appeal to get income, Some like Claude Max cost a real fortune and OpenAi He followed his steps with O3 Pro. The Subscriptions are getting more expensivebut they are not yet enough to reach the level of expenses. There is no azure or a web service that can get the chestnuts out of the fire as it is happening with the Big Tech. The exit seems clear. Advertising. At the end of last year there were rumors that they could start putting advertising in Chatgpt. At the moment it has not materialized, but Rumors have not ceased and seeing the numbers may be a solution to the profitability problem. They have not been the only ones who have flirted with this idea, Perplexity was also testing it And Elon Musk recently confirmed that There will be advertising in Grok. Very careful. Implement advertising in a chatbot is delicate since we could find ourselves in a scenario in which it ends up losing the trust of users. For example, if we go to a chatbot in the process of buying a car, we could doubt whether the recommendations are based on an advertising campaign. Integration should be clear to avoid possible confusing situations. What seems clear is that, given the serious problem of profitability, advertising stands as a more than attractive option for AI companies. In Xataka | Big Tech have buried thousands and billions in AI. They are earning money, but not thanks to the AI

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

by

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

Claude Opus 4 launches and presents it as the best programming model in the world

by

After Google will display all its artillery in artificial intelligenceAnthropic did not want to be left behind. The company founded by Dario Amodei has moved tab strongly: has presented Claude Opus 4 and Claude Sonnet 4two new models with which he aspires to leave his mark on the race for AI. The announcement star is Claude Opus 4, the most advanced model Anthropic has developed so far. And they do not walk with Rodeos: they assure that it is “the best programming model in the world. An ambitious statement that, as always, will have to be tested. But the first data places it very well positioned in front of its main rivals. In the benchmark Swe-Bench Verified, which evaluates real software engineering tasks, Opus 4 gets 72.5 % in standard conditions and reaches 79.4 % if the Parallel processing. It is a performance that leaves it above models such as GPT-4.1 (54.6 %), O3 (69.1 %) or the recent Gemini 2.5 Pro of Google (63.2 %). However, in other more demanding evidence in multimodal reasoning, such as GPQA Diamond or MMMU, focused on university level questions and complex scenarios that combine text and image, Opus 4 fails to overcome O3, which continues to lead in that field. A model with resistance and autonomy But beyond the numbers, what Anthropic wants to highlight is the resistance and autonomy of this model. Claude Opus 4 is capable of maintaining long work sessions and executing thousands of steps continuously. From the company they explain that this makes it an ideal basis for AI agents More sophisticated: systems that make decisions, complete tasks on their own and do not need constant human supervision. In parallel arrives Claude Sonnet 4, an evolution of the model that Anthropic launched in February. It is not intended to compete with Power Opus, but it offers a very balanced proposal between performance and efficiency. In coding it also makes an important leap with respect to its previous version: it goes from 62.3 % to 72.7 % in Swe-Bench Verified, and improves in reasoning tasks, instructions monitoring and general precision. Both models arrive with interesting news. For example, they can now alternate between reasoning and use of tools Within the same process, which allows more complete answers. They have also improved in reliability. According to Anthropic, they are 65 % less likely to take shortcuts or make serious mistakes than Sonnet 3.7. Claude Opus 4 and Sonnet 4 are already available in the API of Anthropic, at Amazon Bedrock and Google Cloud Vertex AI. They are included in the Pro, Max, Team and Enterprise plans. Prices are kept in the line of the previous models: Opus 4 costs $ 15 per million input tokens and 75 per million departure tokens. Sonnet 4 is more affordable: 3 and 15 dollars respectively. The latter can also be used from free accounts. Images | Anthropic In Xataka | We have tried the new Google AI mode: it is a direct bullet to the blue links that worries and excites in equal parts

Claude joins the list of attendees who challenge Google with updated responses

by

During the last decades, Google got so much in our lives that we ended up adopting the verb “google” as a synonym for looking for information. Phrases like “Give me a second to google” or “Did you google?” They became part of the day to day. But things are changing from the hand of artificial intelligence (AI). A giant who begins to give ground. Google is no longer the only access door to information. More and more users resort to attendees promoted by artificial intelligence (AI) to find answers. And that is where Perplexity, Chatgpt and now Claude come into play, who are gaining strength. Why we should pay attention. That a chatbot of AI can search the website makes the difference. Without that capacity, their answers are based only on the data with which it was trained, which can leave out key information or make it be left behind in the face of recent changes. Claude now search on the web. Anthropic’s chatbot is already able to obtain real -time internet information. In addition, it includes direct appointments so you can check the sources for yourself. Instead of showing only results, Claude processes them and presents the information in a conversational format easier to understand. Use scenarios. Now that Claude can search the web, the question is clear: in what cases does this function make the difference? Its creators have identified several key uses in which Internet access improves experience with chatbot, although the real limit is put by users and their needs. Account transformation and improvement in success rates in sales equipment through more informed conversations with customers, based on the analysis of the sector trends and the identification of key points. Market data assessment in real time, profits and tendencies of the sector to optimize investment decisions and improve the accuracy of financial models. Preparation of subsidy proposals and more solid bibliographic reviews thanks to access to primary sources on the web, the detection of emerging trends and the identification of lagoons in current research. Detailed comparison of products, prices and reviews in multiple sources to make more founded purchase decisions. At the moment, only in the US. The search function on the Claude website is now available for payment users in the United States. There is no confirmed date for its arrival in Europe. His arrival to the old continent is an unknown and it is not clear if he could be affected by local regulations, as has happened with Apple and Meta. Expansion is a matter of time. Anthropic states that Claude’s website will “soon” more countries already users of the free plan. The latter makes sense since the competition offers access to the search without going through a box. It is not known when it will expand, but what is undeniable is that competition in AI does not stop accelerating. Images | Anthropic In Xataka | The O1-PRO model of Chatgpt Pro is 140 times more expensive than the Chatgpt O3-mini. What is not clear is that it is much better

Claude 3.7 has returned to life an old 1997 program. The question is whether IA can translate old projects in Cobol or Fortran

by

A veteran programmer received a two -year -old granddaughter’s visit a few days. It was then that he recalled that in 1997 he scheduled an application in Visual Basic 4 an application that might have fun. The problem was that he only had the executable, and it was not easy to be able to use it in his current equipment, so he came up with an idea. Translate this old APP to Python. What he did, as said in Reddit (With a post -written post for this AI), it was to upload the executable as an entrance for the newly launched the Claude 3.7 model. He asked him for something simple: “Can you tell me how to run this file? I think I scheduled it with Visual Basic 4, it would be great to turn it to Python.” Inverse pseudoengineering. The surprising thing is that Claude 3.7 showed some warnings, but then began to analyze the binary file and identified some program components. In fact it went further and translated that code to Python using the Pygame bookstore. Modernized code. The AI ​​system managed to perfectly replicate the functionality of the original program, and the model also provided instructions to install and execute it without problem, but it also was executed and operated 100% from the first moment. And all in five minutes. And modifications, the ones you want. This user would then ask for some improvements, such as associating certain sounds to the space bar or adding color typefaces, and Claude 3.7 modified the code perfectly to offer those improvements. But. The user shared All conversation in Claude so that anyone could check the process that followed. As Visual Basic said P-Code (Pseudocode), a kind of intermediate compilation in which there are some recognizable elements, but not too many to help that reverse engineering task. A door to modernize old software projects. It is true that the pseudocode generated by VB facilitated that “reverse engineering” task, but still this experiment with Claude 3.7 seems to open the door for many other software projects to modernize. A way out for mastodons created with Cobol or Fortran? In fact, already very veteran programming languages ​​such as Cobol or Fortan are still very important in industries such as banking, and force to maintain systems that can maintain compatibility with these old applications. Lack of programmers. There are no longer many programmers who dedicate themselves to these programming languages, which makes them “translate” them to more modern programming languages ​​is especially interesting. In 2023 IBM showed precisely A IA -based project to translate Cobol programsbut it is not clear if that has allowed to complete ambitious projects in that sense. What Claude 3.7 of course opens the door to achieve it. THE EXAMPLE OF MOCAS. We have already talked about Moccas, software created in 1958 and used in the US administration for the “mechanization of administration service contracts.” It is scheduled in Cobol-in fact it was originally programmed in Flow-Matic-and continues to work today, but it has been a long time since in the US They look for ways to adapt it to the new times. Perhaps Claude 3.7 or similar AI models manage to offer a solution to that problem. Even so, difficult. The example shown by that veteran programmer is striking, but it was a small application. Projects such as Moccas are enormously more complex and are part of a series of interdependencies with other components, which makes this possible task of reverse engineering and translation more difficult. But be careful: it may not be impossible, and at least Claude 3.7 and other models can end up being precisely the tool we needed to carry out that task. Image | Flipflopflorida In Xataka | Young programmers no longer know how

There are too many AI models. That raises a true death sentence for Anthropic and Claude

by

We have AI models to bore. And the problem is that everyone starts looking too close and deciding which one is better not simple. All companies and startups strive to be referents in an absolutely unleashed market. One that as in other technological wars probably ends some winners and enough losers. And there are those who compete with clear disadvantages. Another colossal investment round. In The Wall Street Journal indicate That Anthropic is about to close a new financing round that would allow him to lift 3.5 billion dollars. That would make the company’s assessment amount to 61.5 billion dollars, and the question is whether the company really has options in such a competitive market. “This is not a real company”. According to analyst Ed Zitron, Claude has Two million active monthly users in January 2025. It also talks about how according to the WSJ projected revenues for 2025 (based on current contracts) is 1.2 billion dollars, a very modest figure. “They also lost 5.6 billion dollars last year,” Sign it. According to his opinion, Anthropic “is not a real company, they could not survive without the beneficence of risk capital.” Fierce competition. The truth is that Anthropic is facing exceptional competition in which the large heavyweights of the Tech industry are both in the US and in China. Deepseek surprised all of them with the launch of Deepseek V3 and after Deepseek R1, and that seems to have encouraged investors to bet even more money through all these companies. OpenAI is still a reference. At least, it is in number of users. According to CNBC They already have 400 million of active users every week, an exceptional figure that clearly puts them at the head of the popularity ranking in this segment. As with Claude, Openai is burning money that he does not have and that they obtain from extraordinary financing rounds, but unlike this, we insist, the popularity of Chatgpt is evident. And the big ones have what matters now: money. For many users IA is chatgpt, and giants such as Google with Gemini, Microsoft with Copilot or Meta with flame are still far from achieving that acceptance. They have something that Anthropic (or perplexity) does not have: many, many funds – Grok 3, from Xai is another example – and can be maintained in this race even if that is costing them a lot of money. The prize is too fat not to chase him. There are too many models, some can stay on the road. In all technological wars there have been winners and losers. It is the same as what this battle for AI points, in which there are too many competitors and that it probably ends up causing some of these efforts to not survive. Here Anthropic is one of those at a disadvantage. The AI ​​winner can be a company still unknown. Openai, Google, Apple or Microsoft may be especially well positioned to win that race, but it does not have to be so. As they recently indicated In axiosnew company can arise, still unknown, that end up doing something differential and what none of the greats had thought. It is not easy, but of course it is not impossible. Remembering Netscape. In the second half of the 9th Internet began to show their potential, but the great A small company called Netscape He managed to become a reference in the world of browsers. Then it would end up being the great loser of that war, but it was the demonstration that having more money and resources does not always have to have all the options. And that’s why so much investment in startups. That possibility that the one that wins the race will be an unknown company is precisely the one that makes risk capital companies investing a lot of money in projects that may not get absolutely at all. It has recently occurred with Thinking Machines Labthe Startup of Mira Murati, or with Safe Superintelligencethat of Ilya Sutskever. None of them have a product to show, but still have already received spectacular investments. And be careful, there is also China. Of course there are formidable rivals that are not in the US. Mistral is a reference in Europe, while In China another particular war is being fought which has made today the models of the AI ​​of Chinese companies are so good (or sometimes, better) than those of the US. The winner of this battle could also come from that country. Or any other, of course. Image | Saradash Pradhan In Xataka | China has an ambitious plan to overcome the West in Technology. And he has already chosen his 18 companies to get it

Anthropic launches Claude 3.7 Sonnet, a “hybrid” model that is better than ever. Not only that: also “reason”

by

Anthropic has announced The launch and availability of Claude 3.7 Sonnet, its new model of founding. The jump is promising, but stands out especially for one thing: they point to reasoning models. It is not Claude 4.0, it is Claude 3.7. The number of the new version confirms once again that the jump of benefits does not justify a more “round” number. Many expected Claude 4.0, but in Anthropic they make it clear that this is a much more evolutionary version than revolutionary. A hybrid model. In Anthropic they presume from having a hybrid model that does not differentiate between whether to talk and answer questions quickly, reason or any other application, because everything is based on the Claude 3.7 founding model, which does everything and behaves in that way Multidisciplinary. And as it does everything, it is somewhat more expensive than the competition: its API costs $ 3 per million input tokens and $ 15 per million departure tokens Claude can already “reason”. In a separate announcement Anthropic told us about his new mode of reasoning, called “Extended Thinking Mode”, which now becomes a more option among which we can display when using its model. If we activate it, the model “will think more deeply about complex questions.” As those responsible explain, this mode uses the same AI model, but does so by giving it more time and investing more effort to reach an answer. How Claude thinks. This mode of reasoning offers the possibility of seeing what the model is thinking when processing those answers. Here they warn that this information can be surprising, because we can see how AI can “think” incorrect things, but also show that process does not mean that the answer is only based on it. “Our results suggest that models often make decisions based on factors that are not explicitly discussed in their reasoning process.” Things are saved. That is: the model seems to keep things for yourself while thinking, but it is not clear which or why. There is another reason not to show everything: that raises security problems, since having all that information potentially gives resources to bad actors to take advantage of the model of inappropriate forms. Source: Anthropic You can play Pokémon alone. The new Anthropic model is also more “agéntico” than ever. It responds better to changes in the environment and continues to act until an open task has been completed. That makes The “Computer Use” function which allows AI to control our computer to be increasingly promising. They demonstrated it with Pokémon: Claude 3.7 came much further than previous models. Claude Code arrives. The Anthropic model has always highlighted in the scope of programming, and now they wanted to promote that capacity with Claude Code, a BASDA tool in Claude 3.7 Sonnet but specifically focused on helping programmers to develop their projects. A programming agent. This could also be considered as Anthropic’s first agent, because Claude Code is able to complete programming projects autonomously without needing user interaction. Thus, Claude can search between basis with code on which to base, read and edit files, write and execute tests, publish the code in Github repositories and execute commands on a console while informing developers of the entire process. He Anthropic demonstrative video It allows you to check some of those functions. Similar to Grok3 in performance. The new Grok 3 presented these days by XAI showed one more step in its performance in the most demanding benchmarks today, and Claude 3.7 is also in that line, which means that It is something superior In those tests to models such as O1 and O3-mini (from OpenAI) and Deepseek R1. In Xataka | I have tried Deepseek on the web and in my Mac. Chatgpt, Claude and Gemini have a problem

Log In

Forgot password?

Forgot password?

Enter your account data and we will send you a link to reset your password.

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

Here you'll find all collections you've created before.