Anthropic

That Anthropic has shut down OpenClaw is understandable. That they do so confirms that they are becoming the Nintendo of AI

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Peter Steinberger, the creator of AI agent OpenClawrose on Saturday to a ton of mentions on his Twitter account. In all of them they warned him of the same thing: Anthropic announced that Claude Code (Claude Pro/Max) accounts could not be used in OpenClaw. The decision left him anything but indifferent, and users of this agent have criticized a decision that, although reasonable, is, in a way, a disturbing tactic because of how and when it arrived. what has happened. OpenClaw is the AI ​​agent that, if you want, takes control of your machine and uses its apps to do for you everything you ask. Its operation is very powerful, especially if you use it with quality models such as Claude Opus 4.6 or Claude Sonnet 4.6. Many users were taking advantage of the Claude Pro and Claude Max plans to get the most out of OpenClaw, but Anthropic has said that that cannot be done. As explained, OpenClaw and other AI agents consume too many tokens and those plans are designed to be used in Claude Code for programming. If you want to use Claude with OpenClaw, pay. At Anthropic they do not prohibit the use of their AI models with OpenClaw, but they make it clear that if you want to use them you must use them with their API. It’s as if you bought the monthly transport pass for 20 euros to travel unlimited on the subway: it works perfectly when you go to and from work or university, but Anthropic says that you cannot use that pass to use it in your courier company that makes hundreds of trips a day. The token consumption in Claude Code is manageable, but in OpenClaw that consumption skyrockets and in Anthropic they want you to pay per use, not take advantage of the “flat rate” (with limits) of their Pro/Max plans. It’s understandable… Many users have attacked Anthropic and criticized that decision. Boris Cherny, one of the top managers of Claude Code, answered in X to a user who told him that decision “sucked”: “I know it sucks. At its core, engineering is about making hard decisions, and one of the things we do to serve a lot of customers is optimize how subscriptions work to reach as many people as possible with the best model. Third-party services are not optimized in this way, so it is very difficult for us to maintain it in the long term.” It is true that the massive use of Claude in OpenClaw raises the internal costs of Anthropic’s infrastructure: it does not pay off for them that so many instances of OpenClaw are being used with Claude, at least not if they are not used with the API. It is reasonable because these plans effectively “cheat” by being able to be used with this and other AI agents. But… …the moment is curious. This decision comes shortly after Anthropic has started to “copy” some of the OpenClaw features in their products, something we also expected. Claude Cowork, Dispatch and Remote Control have become the “official” ways to be able to do some of what OpenClaw does directly with Anthropic tools, and shortly after releasing them is when they begin to cover the way in which users can use their monthly plans. For Peter Steinberger, creator of OpenClaw, Anthropic’s decision comes now It is significant: “It’s funny how the timing coincides: first they copy the most popular features of our tool to their own closed product, and then they block access to open source.” Anthropic doesn’t lie. The technical argument that Cherny mentions is real, and the truth is that there is a capacity problem. Claude models are expensive to run, demand grows faster than infrastructure, and users of AI agents like OpenClaw consume resources much more intensively than conventional chat or Claude Code users. This is not sustainable, but it is also true that this decision comes three weeks after Steinberger “sold” OpenClaw to OpenAIAnthropic’s nemesis. Anthropic in Nintendo mode. This is the classic walled garden pattern: you see what works on another platform or rival product, absorb it, and then close the door. Nintendo has done this for decades with its platform developers, and Apple has perfected it with the App Store. The difference is that Nintendo and Apple had that walled garden from the beginning, and Anthropic is building it now. Although it’s not exactly the same. It should be noted that Nintendo is protecting an ecosystem with decades of irreplaceable IPs (Intellectual Properties): Mario, Zelda, or Metroid. It is normal that there is an access cost. Anthropic is doing that right now with Claude as the star product, but obviously it doesn’t have anything comparable (at the moment) to the IPs that Nintendo has. Here is another disturbing comparison: Apple or Nintendo charge to enter the ecosystem but it does not keep the meter running. Anthropic does: it has an increasingly closed garden, but it also forces the use of the API to use OpenClaw, with a pay-per-use model that is reasonable given Claude’s demand. But the rest do “leave”. What Anthropic has done clashes with what other AI companies are doing, especially when we talk about Chinese startups. The creators of Kimi, Minimax, GLM or the recent Xiaomi MiMo They do not have these policies: you can contract their monthly plans, very cheap, and take advantage of their models for OpenClaw without problems and without (barely) limits. It is true that these models are not as capable as Claude, but the way they act is still striking. In Xataka | OpenClaw changed the rules of the AI ​​race. Technology companies already have their answer: copy it

Each new AI model is the best ever until the next one arrives. Anthropic and OpenAI have turned that into a business

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It doesn’t matter what technological product we are talking about, because both the product and how it is sold to you matters. And here making promises and generating expectations is the classic strategy. The next processor is going to be more powerful, the next smartphone is going to take better photos… and of course, the next AI model is going to be (much) better. We are seeing that message constantly in the AI ​​segment, but now it is going further. Anthropic and a curious leak. A group of security researchers they detected a few days ago 3,000 unpublished documents in an accessible Anthropic database. They included a draft of the blog entry that corresponded to the theoretical launch of their next AI model. The striking thing is not so much the filtration itself (whether intentional or not), but what those documents reveal. Mythos goes beyond mere evolution. Or at least that’s what that leaked draft seems to reveal. It describes a model called Claude Mythos—also called Capybara—which would not be a simple improvement on Claude Opus, but would be a level above it. The document says that this model is “bigger and smarter than our Opus models, which until now were the most powerful.” Anthropic signs up for hype. According to this leak, the benchmark scores would be notably higher than those of Opus 4.6 in programming, reasoning and cybersecurity. At Anthropic have ended up confirming the existence of this development, and have described it as “a level change” and “the most capable model we have created to date.” It’s not too surprising a phrase, because it’s basically the same thing they’ve been saying about every new model they’ve released. And even they are scared. In fact, what is surprising in that draft is not the message that it is better, but the warnings that accompany that future presentation. Thus, Anthropic describes Mythos as “currently far ahead of any other AI model in cybersecurity capabilities.” In fact, they warn that this may be the beginning of “an imminent wave of models that can exploit vulnerabilities in ways that far exceed the efforts of the defenders.” Or what is the same: Mythos could be a extraordinary tool for cyber attackers. The actual launch plan is to first offer Mythos to cybersecurity organizations to prepare. We will see if that gives an advantage, if Mythos meets expectations. OpenAI also makes a move. Both Anthropic and OpenAI have been moving in parallel for some time, and now they have done so again. At OpenAI they are preparing their new AI model, codenamed “Spud” (“potato”). Hardly anything is known about him beyond the fact that his pre-training phase has been completed. More relevant is that this model appears just when At OpenAI they have decided to be less OpenAI and more Anthropic. They have abandoned Sora and they are redirecting resources to regain ground where they are losing it. That is, in companies. But the count is not infinite.. These days, users of Claude’s $100 and $200 per month plans began to notice how they used up their limits and token quotas in less than an hour during their work hours. What is happening is that Anthropic is training more powerful but much more expensive models to use and that makes it difficult to serve them. Demand is growing faster than the efficiency improvements that are coming, so according to some analysts, AI companies are adjusting those quotas and in a sense making Their models behave as if they were “dumber” to save. It’s something we’ve seen in the past. hedonic adaptation. The psychologists called hedonic adaptation to the phenomenon by which humans quickly become accustomed to any level of experience, good or bad, and return to our starting emotional state. When applied to AI, this phenomenon explains that this model that seemed miraculous to us six months ago today seems slow and limited, and what six months ago seemed like science fiction is today the minimum we ask of companies. Anthropic and OpenAI have not invented the concept, but they have integrated it into their roadmaps like other technology companies in the past. We mentioned it before: they not only sell what they have today, but (more importantly) what they will have tomorrow. Mythos will be brutal and very expensive. Anthropic’s draft warns that Mythos will be “very expensive to serve and will be very expensive for our customers.” That points to two possibilities. The first is that only users of the Max plans can access some consultations with this model. The second, that a subscription appears even more expensive than that 200 dollars a month so we can leverage Mythos with more leeway. We already had a free AI, a basic paid AI and a high-end paid AI. Now we will also have super high-end AI. In Xataka | The hard landing of OpenAI: after years at the forefront, it is discovering that AI is not won only with memes and hype

OpenAI had to choose between “being the company that has erotic AI” or competing with Anthropic. And he has chosen the obvious

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Sam Altman wasn’t afraid to try things. That people want to create Studio Ghibli style images? Forward. AI Videos hyperrealistic? Go for it. A browser with AI? we have it. Wherever I saw an option to add AI, OpenAI added it. But that was before, because these projects are being put on the back burner or directly closed for a simple reason: they are blank bullets. ChatGPT is not going to flirt with you. According to the Financial TimesOpenAI has canceled its plans to launch an erotic chatbot, and now the goal is to focus its resources on its most important products. The decision is partly a response to tensions and internal criticism from employees and investors when offering sexualized AI content. One former employee noted that “AI shouldn’t replace your friends or family; you should have human connections.” Making an erotic chatbot is not that easy. In addition to the social impact, it seems that OpenAI has had to face really complex technical challenges when creating this type of chatbot. Training an AI model to do something that “normal” models were trying to avoid was causing problems. For example, when including data sets with explicit content it was necessary to eliminate illegal behavior, such as bestiality or incest. That adult mode, called “Citron mode” internally, could have required users to prove that they were over 18 years old. Too much risk. The move to launch an “adult mode” of ChatGPT was reputationally risky, and people familiar with the decision have indicated that OpenAI wants to begin a long-term investigation into the effects of explicitly sexual chats and the emotional bonds that this type of interaction can create in users. They point out that at the moment there is no “empirical evidence” about the impact, but for now they are clear. And yet, there is another great reason to cancel it indefinitely. Let’s focus on what makes money. In recent weeks we have seen how the new pretty girl of the world of AI is Anthropic, which with Claude has managed to conquer precisely the market sector that is beginning to generate income decent for AI: the companies. OpenAI had been especially focused on end users, but the steps it has taken to try to convince us to pay for ChatGPT Plus/Pro They don’t quite work. No ads, no shopping. A few months ago OpenAI announced that ChatGPT was already capable of buy things for you with its Instant Checkout. The feature was really promising and proposed a paradigm shift in the rules of traditional e-commerce, but this launch seems to have had much less impact than expected. The decision to place ads during conversations seems not going to make ChatGPT’s revenue skyrocket either, so the solution is becoming clearer: if we have to be like Anthropic, we will be more Anthropic, we imagine Sam Altman is saying. Goodbye Sora… The ads don’t quite work, neither does Instant Checkout, and many other launches have not gone beyond generating a fleeting expectation. It happened with Sora: that OpenAI I abandoned her It is a disturbing sign that the company prefers to completely recalibrate. …hello superapp. Another sign of this reorganization is the fact that OpenAI is preparing a desktop tool that will unify its chatbot, its code platform (Codex) and the Atlas browser. The objective, to create a super app with agentic capabilities, not only oriented to code, but also to productivity. It is not clear if they will launch it as a solution for end users or the destination will be the company, where Anthropic is winning the game. New ‘Spud’ model in sight. In The Information indicated this week that OpenAI had recently completed development of a new AI model called Spud. OpenAI is expected to launch it in the coming weeks, and Altman reportedly told his employees that such a model “can really accelerate the economy.” It is not clear what it refers to (agent capabilities?), but with it OpenAI may be able to regain some of the ground lost with Anthropic. If Anthropic lets him, which we doubt. Image | Universal Pictures In Xataka | Wikipedia has banned using AI to write or rewrite articles in English. Human knowledge begins to raise barriers

The US tried to treat Anthropic as if it were an enemy company for refusing to arm its AI. The judge just stopped him

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There is a new chapter in the clash between Anthropic and the Pentagon, and it is one that must not have sat well with the Trump administration. After declaring it “a risk to the supply chain” (put her on the blacklistOh), Anthropic went to court and now the judge has just agreed with them, so the order has been paralyzed. what has happened. The Trump administration sought to punish Anthropic after refuse to let their AI be used in lethal autonomous weapons and mass surveillance, but Judge Rita Lin, of the Northern District of California, just blocked the order. The judge has asked the government for a report, which they must present before April 6, in which they detail how they have complied with their resolution. The government has seven days to appeal. “Orwellian idea”. The judge is quite harsh with the government’s decision. He considers that it is an “arbitrary and capricious” move and that “no provision of the applicable law supports the Orwellian idea that an American company can be branded as a potential adversary and saboteur of the United States for expressing its disagreement with the Government.” Furthermore, he indicates that if the problem is that they do not trust Anthropic’s AI “the War Department could simply stop using Claude.” It’s not going to sit too well with the Trump administration. In his order he also mentions the “financial and reputational prejudice” to which Anthropic would be exposed if this measure is applied, arguing that it could leave the company paralyzed. Why is it important. It is the first time that a restriction of this caliber has been applied to a domestic company. Supply chain risk is defined as “the risk that an adversary could sabotage or subvert a covered system,” but what has happened here is that it has been used as a punishment for disagreement. Furthermore, if the order were implemented, Anthropic would be commercially isolated by being prohibited from working, not only with civilian agencies, but also with private companies that wanted to work with the defense department. And now what. Several legal experts They already warned that the decision would not survive legal scrutiny and it has. This decision represents a victory for Anthropic, which in a statement assured that “Our goal remains to collaborate constructively with the Government to ensure that all Americans benefit from safe and reliable AI.” The question now is what will be the next step of the Trump administration, which has not yet commented on the matter. In Xataka | OpenAI says its deal with the Pentagon is secure. Seriously, really, you have to believe it, trust it, it assures you Image | Anthropic, edited

If he wants to beat Anthropic, he needs more hands. So you’re going to double your template.

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OpenAI just realized that they had been launching products without rhyme or reason and they need to focus on something. And that something is the business sector, where an Anthropic with a much clearer business plan has been eating up their ground. To achieve this they need to increase their staff. A lot. More hands. According to Financial TimesOpenAI is planning to increase its staff throughout the year, almost doubling it. They currently have around 4,500 workers and the idea, according to internal sources, is to reach 8,000. To reach that figure they would have to hire 12 people a day; human resources will be on fire. The departments that need the most personnel are product development, engineering, research and sales. In addition, there is a figure that the company wants to reinforce; These are “technical ambassadors”, who will be a type of advisors who will guide companies that use their products so that they get the most out of them. They have also rented new offices in San Francisco, which will bring the total surface area to more than 90,000 square meters. Unstoppable Anthropic. This is part of a strategic reform that seeks to regain ground in the business segment, where Anthropic has gained a very solid position. According to data from Ramp AI IndexAlthough OpenAI is still the most used solution in business, adoption is falling while Anthropic is doing like a shot. 70% of companies that buy AI solutions for the first time choose Anthropic, at this rate, in a short time they will overtake them in the number of business users. It’s not that big of a deal. OpenAI has downplayed this figure because Ramp is a financial service and its data comes only from transactions made with your credit card “it’s like saying that global sales of lemons can be calculated based on my son’s lemonade stand,” said a company spokesperson. Be that as it may, the reality is that OpenAI is taking steps towards a restructuring of its product portfolio and its organization, and recovering business share is among its priorities. Unify portfolio. As part of this strategic pivot, OpenAI is planning the launch of a super app that will unify Codex, ChatGPT and the Atlas browser into a single tool. During 2025, OpenAI launched many very disparate products, many of them being half abandoned along the way like ChatGPT Atlas. In addition to showing a clear lack of focus, it is a very inefficient strategy; There are many computers, they all need computing capacity and no one is clear about what to prioritize, a disaster. The change is led by Fidji Simo, the company’s apps manager, who recently told employees “We cannot waste this moment because we are distracted by parallel projects.” The agreement with the Pentagon. All this coincides with the soap opera of Anthropic and the Pentagon. After weeks of tensions, Anthropic finally ended up on the government’s blacklist and OpenAI signed the agreement. What followed was that people started uninstalling ChatGPT en masse and in the public eye ChatGPT became the bad AI and Anthropic became the good AI that had not given in to government pressures. Sam Altman assured that there was no problemthat we could rest assured and that they also had red lines, a statement that has little to do with the facts. In Xataka | OpenAI wants us to have sex with ChatGPT. Your wellness advisors think it’s a terrible idea Image | Levart_Photographer, Nathan Sack on Unsplash

Anthropic is winning the enterprise AI race, so OpenAI has a new plan: become Anthropic

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OpenAI has thrown out everything that moved in AI. They have been launching everything: a video generatora web browser with AI, an image generator with Studio Ghibli styletools e-commerceetc. The logic was simple: whoever tries everything has more chances to get something right, but the result has ended up being the opposite. While OpenAI seemed to be everywhere, Anthropic was focused on a single site and It has managed to eat the land where it mattered most. Enough of trying everything. Fidji Simo, the board that Altman signed last summer, recently called upon employees to give them a message that is rarely heard in a company with the growth of OpenAI: their main rival was teaching them a lesson. What Anthropic is doing, Simo explained, should be a wake-up call for OpenAI, which has lost leadership among software developers and enterprise customers. “We cannot waste this moment because we are distracted by parallel projects,” he stressed. The hidden cost of doing a little of everything. The problem with shooting at everything that moves is not only the focus, but the resources that this implies. In companies that develop foundational models, the key resource is computing capacity, and at OpenAI that resource jumped from one team to another depending on the priorities of the day. The Sora team, for example, was integrated into the research division despite being one of the company’s most visible products. OpenAI was growing fast in too many directions, and that also created internal tensions over which project should be prioritized. Anthropic focused on one thing. As OpenAI diversified, Its main rival adopted a completely opposite strategy: few products, a lot of depth. Claude does not generate images or video, does not have his own browser and is not trying to create his own chips (at the moment). It is dedicated to creating foundational models and offering them both in web service mode and especially through APIs for companies and developers. Claude Code, its flagship product for programming, became a viral phenomenon among software engineers last fall, and has ended up consolidating itself as the reference tool among amateur developers—vibe coding is still going strong—and of course among technical teams in all types of companies. OpenAI strikes back. The response has not been long in coming: OpenAI launched last month a new version of Codexhis programming tool, and accompanied it with new GPT-5.4 which is precisely much more oriented towards professional environments. According to Simo itself, Codex already exceeds two million weekly active users, almost four times more than at the beginning of the year. To drive usage of its product, OpenAI is deploying engineers to consulting firms and business partners to accelerate adoption of these products. IPO on the horizon. Both OpenAI and Anthropic are taking clear steps towards an IPO which in fact could occur this year. That makes gaining share in the corporate market—which is the one that really pays, the one that signs contracts, and the one that justifies valuations—absolutely essential for these IPOs to be successful. The initial share price and real valuation of these companies will depend on how well positioned they are, and at OpenAI they want to recover the lost ground in the enterprise market. In the meeting with the staff Simo explained that “we are acting as if this were a code red.” The paradox of being the pioneer. OpenAI unleashed the AI ​​fever with the launch of ChatGPT in November 2022 and made generative AI an almost everyday phenomenon. However, being the first usually has a trap, because it forces you to explore and diversify to maintain your reference position and that is very expensive. Anthropic came along later, saw where the real money was, and focused specifically on that sector. The student has surpassed the teacher, it seems, and at OpenAI they want to correct the strategy. What will happen to so much product?. It remains to be seen how this OpenAI strategy affects its entire product catalog. If you start focusing on developers and enterprise solutions, what will happen to your imager, Sora or Atlas? The structural tension between being a “research laboratory” and being a “product company” can pose a challenge for a company that naturally did not stop exploring new ideas to apply AI to them. Image | TechCrunch | Wikimedia Commons In Xataka | Sam Altman says he’s terrified of a world where AI companies believe themselves to be more powerful than the government. It’s just what you’re building

We believed that human programmers would end up being code reviewers. Anthropic just killed that

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The rise of the Generative AI The world of software development seemed to follow a clear script: models would write the code and humans would review it. It was the new balance. Well, Anthropic just killed him. The problem of programming with AI. What we know today as vibe codingthis practice of giving instructions in natural language to an AI so that it generates code at full speed, has skyrocketed software production in companies. Anthropic affirms that the amount of code generated by each of its own engineers has grown by 200% in the last year. And now there’s a problem: there’s so much new code that reviewing it has become the bottleneck of the process. Human developers can’t cope. Many pull requests (change proposals that must be reviewed before integrating new code) are skimmed or not read very carefully at all. What Anthropic has done. The company Code Review has been releaseda tool integrated into Claude Code that, instead of waiting for a human to review the code, deploys a team of AI agents to do it automatically every time a pull request is opened. This new system is now available in preview phase for Team and Enterprise plan customers. Cat Wu, Product Manager at Anthropic, explained told TechCrunch that the question they constantly received from their clients’ technical managers was always the same: “Now that Claude Code is generating a ton of pull requests, how do I make sure they are reviewed efficiently?” How it works inside. AI agents work in parallel autonomously the moment a pull request is opened, examining the code from different perspectives. An end agent then aggregates and prioritizes the issues it has found, removing duplicates and sorting them by severity. The result reaches the developer through a featured comment, accompanied by more online comments about specific bugs. The focus, according to Anthropicis in logical errors, not in matters of style, something designed on purpose so that the feedback does not generate too much noise. Issues are labeled by color depending on how important they are: red for critical, yellow for attention, and purple for pre-existing code. Numbers. The company has been using Code Review internally for months before launching it to the market. According to what they saybefore implementing it, only 16% of their pull requests received meaningful review comments. With the tool, that percentage rises to 54%. In large pull requests (more than 1,000 modified lines) 84% returned results, with an average of 7.5 problems detected. And less than 1% of those results are flagged as incorrect by the engineers themselves. In one of the cases documented by the company, they spoke of a single line change that seemed routine. However, Code Review marked it as critical, as it apparently could have broken the entire service’s authentication. The bug was fixed before integration. Furthermore, according to the company, the engineer later acknowledged that he would not have caught it alone. ANDhe new role of the programmer. The narrative that had spread in the last two years was that developers would evolve towards a profile closer to that of a reviewer or supervisor of code generated by AI. Now that transition is also being automated, at least in part. Anthropic does not eliminate the human from the equation (in fact the tool does not approve pull requests), but it does compress the review work that was supposed to be the last bastion. It seems that now the human goes from reviewer to final arbiter. Price. It is not a cheap tool. Each revision has a cost based on token consumption. Anthropic esteem The average price per review is between $15 and $25, depending on the complexity of the code. It is a cost that the company justifies in the context of large technology companies where errors that escape review have a much higher price. Cover image | Compagnons In Xataka | Software companies sank on the stock market for a simple reason: investors are panicking about AI

The Pentagon labeled Anthropic a national security risk. So Anthropic is suing the Pentagon

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The soap opera between Anthropic and the Pentagon has a new chapter (and now they are going…). After the push and pull of the last few weeks, Anthropic stood and that ended up causing The US put the company on the blacklist. Anthropic was not amused. what has happened. Anthropic has sued the US Department of Defense (or War), calling the decision to blacklist them “unprecedented and illegal” and arguing that it will cause irreparable harm to the company. . In statements to Fortunean Anthropic spokesperson has assured that they remain committed to protecting national security and want to find a solution, but that “it is a necessary step to protect our business, our customers and our partners.” The administration has not commented on this lawsuit. A lot of money at stake. By blacklisting Anthropic, the government prevents defense contractors and suppliers from using Claude in their Pentagon-related activities. Additionally, Trump ordered the entire government to stop using Anthropic’s AI. The company says government contracts are already being canceled and other private contracts are in jeopardy. Anthropic’s commercial director, Paul Smith, has assured that there is a client who already Claude has been swapped for another generative AI. This contract alone will make them lose at least 100 million dollars. Doubts about legality. Anthropic says the government’s move is not legal. Are they right? According to legal experts at Lawfarethe “supply chain risk” label will not withstand judicial scrutiny. The main reason is that this designation is intended for foreign adversaries, as happened with Huawei. The law’s definition is “the risk that an adversary could sabotage or subvert a covered system,” it says nothing about using it as punishment to a national company for a disagreement. According to Lawfare, the statements by Trump and the defense secretary “frame the action as ideological punishment of a political enemy.” The disagreement. The origin of this escalation is in the red lines that Anthropic put Basically, the company refused to allow its model to be used for mass surveillance of citizens and especially the development of lethal weapons without human supervision. The concern is justified: a soldier can refuse to carry out an illegal order, an AI cannot. The Pentagon does not like red lines (from others, of course) and demanded to be able to use their technology without limits. In Trump’s words in a Truth Social post: “We will decide the fate of our country, NOT an out-of-control radical left-wing AI company run by people who have no idea what the real world is like.” Meanwhile OpenAI… Shortly after Anthropic was blacklisted, the government found a new candidate to carry out your plans: OpenAI. According to the company by Sam Altman, its development has more safeguards and hey, calm down, it’s not that big of a deal. What has followed is an image crisis for ChatGPT, with resignations and mass uninstalls of users who have switched to Claude. But let’s not fool ourselves, although Anthropic has won the battle of public opinion, if the US keeps up, the future looks pretty bleak for Amodei’s side. In Xataka | Anthropic has become the Apple of our era and OpenAI our Microsoft: a story of love and hate Image | Anthropic (edited)

Microsoft wants Copilot to do more complex tasks. To achieve this, it has turned to Anthropic AI

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For a long time, when we talked about artificial intelligence at Microsoft, there was one name that came up again and again: OpenAI. The relationship between both companies was decisive for the takeoff of ChatGPT and also for the launch of Copilot. But the AI ​​board is moving quickly. New models, new players and increasingly intense competition are pushing large technology companies to diversify their bets. In that context, Microsoft’s latest move is understood. The advertisement. Microsoft has decided to integrate Anthropic technology within Copilot, the assistant that is already part of tools such as Outlook, Teams or Excel within Microsoft 365. Among the new features is coworka tool based on Anthropic technology aimed at facilitating tasks within the work environment. But that’s not all: Claude’s models will also be available within the Copilot chatbot alongside the more advanced OpenAI models, thus expanding the capabilities of the assistant without depending on a single artificial intelligence provider. From asking for something to delegating work. Microsoft explains that Cowork is designed to go a step beyond the classic model of an assistant who answers questions or writes texts. The idea is that Copilot can take care of entire tasks within Microsoft 365. When the user makes a request, the system converts it into a work plan that runs in the background. To do this, it uses data from Outlook, Teams or Excel. From there, in theory, you propose actions, ask for clarification if needed, and allow the user to review or approve each step before the changes are applied. Some examples. Let’s imagine, for example, that we ask Copilot to review our agenda in Outlook. The system could analyze the calendar, detect conflicts between meetings and identify lower priority meetings. From there I would propose different adjustments, such as rescheduling some appointments or reserving blocks of time to focus on more important tasks. Once those suggestions are reviewed and approved, the system itself could apply the changes automatically, accepting, rejecting or rescheduling meetings and reserving blocks of time to focus on other tasks. The strategy. As we noted above, the move also reflects how Microsoft’s AI strategy is changing. The company has maintained a very close relationship with OpenAI for years and continues to be one of its largest shareholders, with a stake close to 27% after investments of around $13 billion since 2019. However, the rise of new models and the rapid evolution of the sector are pushing large technology companies to not depend on a single technology. Incorporating Anthropic tools within Copilot points precisely in that direction: building an ecosystem capable of relying on different models depending on the task. Platforms before models. What we are seeing with decisions like this is that the race for AI is not limited to developing increasingly advanced models. It’s also about deciding where those capabilities are going to live. In the case of Microsoft, the answer seems quite broad: The company has been integrating Copilot into more and more products and services in its ecosystem (and also external ones). For some users, this constant presence can be very useful; For others it can be somewhat invasive. But beyond these perceptions, the movement clearly shows Microsoft’s strategy. On the whole. So this is not just about adding another technology within Copilot, but rather reinforcing the idea that Microsoft wants to turn this assistant into a meeting point for different AI capabilities within its software. Incorporating Anthropic models alongside those of OpenAI points precisely to that scenario. Rather than relying on a single technology, the company appears to be laying the groundwork for a Copilot capable of combining different solutions as the AI ​​market continues to evolve. Images | Microsoft In Xataka | The best and worst of the Internet we know has been built on anonymity. AI brings bad news

Anthropic releases a new feature to download all your memory to leave ChatGPT and switch to Claude

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This weekend Anthropic has gone from being an AI used by the Pentagon, other US agencies and having partners such as Microsoft or Amazon to total ostracism: from Friday at 5:01 p.m. It is classified as a “risk to the supply chain”. Total veto, a serious threat to the survival of a company valued at 380,000 million dollars and also a challenge for those entities that in less than six months will have to transition to another alternative. The Pentagon itself He already has an agreement with OpenAI to succeed him. Anthropic’s situation is delicate to say the least serving its strategic clients and alliances, something essential to continue growing in the tough battle of intelligence. The company led by Dario Amodei, which was firm in its principles when expressing its concern about the use of artificial intelligence for mass civil surveillance and the development of weapons capable of firing without human intervention, has already announced that he will contestbut for now they look rough. He only has the civil…in every sense, because Claude has risen to number 1 for free downloads in the App Store in the United States, as reported by CNBC. Because yes, this tug of war with the US government has brought an increase in the popularity of Claude, less known than other alternatives such as ChatGPT or Gemini. On the other hand, this movement in which the US Administration has said goodbye to Anthropic in favor of OpenAI also has a reading in which Claude wins: the terms of the agreement and how it affects ChatGPT users. Anthropic Coup de Effect. So Anthropic has been taken out of the sleeve a new feature to facilitate the transition from other AI models, such as ChatGPT or Gemini, to Claude. Because if you have been using ChatGPT for a while for example and already knows youstarting from scratch is a step backwards in every sense. The new feature allows you to import all your memory from other models into Claude so that it immediately knows everything about you (everything that your previous AI already knew). You no longer start from scratch. How to download your memory and load it in Claude. To incorporate your preferences and context from other AI providers into Claude you have to do two steps: Copy and paste the prompt below into the AI ​​you normally use, like Gemini or ChatGPT: I’m moving to another service and need to export my data. List every memory you have stored about me, as well as any context you’ve learned about me from past conversations. Output everything in a single code block so I can easily copy it. Format each entry as: (date saved, if available) – memory content. Make sure to cover all of the following — preserve my words verbatim where possible: Instructions I’ve given you about how to respond (tone, format, style, ‘always do X’, ‘never do Y’). Personal details: name, location, job, family, interests. Projects, goals, and recurring topics. Tools, languages, and frameworks I use. Preferences and corrections I’ve made to your behavior. Any other stored context not covered above. Do not summarize, group, or omit any entries. The model will return everything it knows about you in a block of text, which you have to copy and paste later into Claude. Go to ‘Settings‘ > ‘Capabilities‘and there in Import Memorypaste the answer. Then, tap ‘Add to memory’. From that moment on, Claude already knows what your previous AI knew. It has small print. This is a feature for users on a paid plan (Pro, Max, Team or Enterprise). If you are on the free version, at most you will only be able to have that context in that conversation, but not permanently. In short: the import is free as a manual process, but for Claude to remember it permanently a payment plan is required. In Xataka | Claude: 23 functions and some tricks to get the most out of this artificial intelligence In Xataka | Anthropic and OpenAI have developed AI. The US Pentagon is showing you who really owns it

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