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GitHub Copilot and Claude are putting more and more fees and costs

April 29, 2026 by usatoday24

As end users, pay a monthly fee to use a AI model It is the norm to access more complete and powerful models. However, developers who rely on an AI model to power their tool or application pay based on the tokens of input and output that are consumed (the minimum unit of text that a model processes when we use it, so that we understand each other). Which has announced GitHub Copilot has more to it than it seems, as it will now begin charging end users through a monthly plan based on the number of tokens. And this has set off alarm bells in the sector, because it could be a move that any other company could easily end up imitating. And all in a context in which Chinese startups prices continue to drop sharply in their models. Copilot can no longer maintain its business model. GitHub has announced that starting June 1 it will stop accepting requests for its current premium plans and will begin billing for AI credits instead. Each monthly plan will include a number of credits equivalent to the price of the subscription: anyone who pays $10 per month for Copilot Pro will receive $10 in credits. From there, consumption is measured in tokens, including input, output, and cache tokens. It is a play similar to when we use a image generation model either video: a use that depends on credits and that we recharge depending on the use. The reason for the change, according to the companyis that until now a quick consultation and an autonomous programming session of several hours cost the user the same. GitHub claims to have long absorbed that cost difference, but acknowledges that the model is no longer viable. QWhat exactly changes. The base prices of the plans are not touched: Copilot Pro is still at $10. Business in 19. Enterprise in 39. But: what you buy with them is no longer the same. Previously, the limit was a number of requests. Now, each interaction with the model consumes credits at a rate that depends on the chosen model and the volume of tokens. According to the rates published by the company itself, the most advanced OpenAI models can cost up to $30 per million output tokens. On the other hand, an agentic session, where the assistant executes tasks autonomously, can easily multiply the expense of a week of normal consultations. Ed Zitron, well-known critic and technology expert, counted that, according to internal documents to which he had access, Copilot’s weekly costs had almost doubled since January, coinciding with the boom in agentic assistants. Nor is it just Copilot. According to account The Information, Anthropic has begun charging its large enterprise customers the actual cost of computing Claudeabandoning any discount. Anthropic itself briefly tested the elimination of Claude Code of its $20 per month Pro plan. Large AI companies have been taking losses on their subscription models to attract users for some time, and are now trying to pass on the real costs to those who consume the most. China does the opposite. While the West adjusts prices upwards, several of the main Chinese technology companies have adopted a completely different strategy: turning tokens into a cheap commodity, almost like a telecom distributing mobile data. DeepSeek announced this week a 90% reduction in the price of cached accesses to its API (when the model reuses already processed context), bringing the minimum entry cost to about $0.14 per million tokens. For your most advanced model, DeepSeek-V4-Prothe figure becomes 32 times cheaper per conversation than the equivalent in GPT-5.5 from OpenAI, according to company data. Alibaba, for its part, has just separated its AI business and renamed it Token Hub Business Group, making clear what its strategic commitment is. According to share According to Reuters, Chinese models cost on average one-sixth the price per token of those from OpenAI, Anthropic, and the like. Why it can work, and why it has a limit. China’s advantage in inference (the moment at which a model responds to a request) rests on cheaper electricity, software efficiency that it has had no choice but to forcefully develop by chip restrictions from Washington, and a super competitive domestic race that forces prices to constantly drop. Token consumption in China has gone from 100 billion a day at the end of 2025 to 140 billion in March 2026, according to estimates collected by Reuters. However, as the media points out, this strategy has an underlying problem: the tokens are not interchangeable. One million tokens from Anthropic’s most advanced system are worth much more than the same volume processed by an inferior model. Companies that delegate complex tasks to AI agents will end up paying for quality, not just volume. And there, the Chinese models continue to lag behind the most advanced Western ones. Cover image | Alexander Mils and Roman Synkevych In Xataka | Anthropic decided to resist pressure from the Pentagon. Since then all other technologies have folded

OpenAI wants to eat Microsoft’s toast with its own GitHub

March 4, 2026 by usatoday24

The relationship between OpenAI and Microsoft has gone through better times. And when their technological alliance began, it was one of the first examples that indicated to us that all this AI was going to last for a long time. And here we find ourselves, in a much more delicate and powerful panorama in equal measure. However, now this alliance is going through one of its most tense moments, and the culprit has names and surnames: OpenAI would be developing its own code hosting platform, rivaling GitHub, which belongs to Microsoft. We tell you all the details. Why does this matter? GitHub is one of Microsoft’s crown jewels in the technology ecosystem. If OpenAI continues with this project, it would be attacking one of the most strategic businesses of its main partner and investor, the same company that has injected billions of dollars in its growth since 2019. And over the last two years, their relationship has gone from being symbiotic to being, on certain fronts, directly competitive. What exactly happened. According to account The Information, several OpenAI engineers would have been fed up with the constant GitHub service outages in recent months. So they decided to consider building their own alternative. As the medium shares, the project is still in the initial phase, so it could take months to see the light (if it ever does), but the medium assures that the possibility of selling it as a product to OpenAI clients is already being considered. At the moment no company has confirmed or denied it. Renegotiations. The crazy idea of building your own GitHub arrives in full renegotiation of the terms of that same alliance that they forged a few years ago, a process that, according to the Wall Street Journalhas become extremely tense. As the media reports, OpenAI wants to reduce dependence on Microsoft in computing and distribution, and is also trying close the acquisition of Windsurfthe AI startup from which Google also got involved to keep a good part of the talent. The problem: Microsoft has access to all of OpenAI’s intellectual property under the current agreement, and OpenAI doesn’t want that to include the purchase of Windsurf. Microsoft, for its part, offers its own AI programming tool, GitHub Copilotwhich competes directly with what OpenAI is trying to build. Media fight. According to the WSJseveral OpenAI executives have gone so far as to internally debate what they describe as a “nuclear option”: publicly accusing Microsoft of anti-competitive behavior and seeking a federal regulatory review of the contract. That is, take the fight to the legal and media arena. That this possibility is on the table says a lot about the level to which the conflict has reached. Both companies have also been fighting for some time over the percentage of participation that Microsoft would have in the new for-profit entity which OpenAI wants to become. OpenAI has until the end of the year to complete that transformation or lose $20 billion in funding it had committed to. How we got here. Microsoft first invested in OpenAI in 2019 with 1 billion dollars. In exchange, it gained the exclusive right to sell OpenAI’s tools through its Azure cloud and preferential access to its technology. For years, it was a sweetheart deal for the two: Microsoft positioned itself as a leader in enterprise AI and OpenAI got the infrastructure and money to grow. But now the market has changed a lot, and what was a relationship of mutual dependence has become a race in which the two compete on almost the same fronts: consumer chatbots, productivity tools with AI, solutions for companies, etc. For now, both companies maintain the official speech of optimism about their ability to continue building together. But the cracks are increasingly difficult to cover. In Xataka | Aragón is becoming a Spanish data center giant thanks to Amazon. There is still a big unknown

Claude Code is being the big favorite among programmers. So much so that he already signs 4% of everything that is uploaded to GitHub

February 6, 2026 by usatoday24

It is worth taking a look at how generative AI It is transforming the daily lives of many programmers. And little by little these tools are conquering the environments of millions of developers. The achievement in this aspect is for Claude CodeAnthropic tool, which already represents 4% of all public commits uploaded to GitHub, according to a report by SemiAnalysis. The media says that, if it maintains its current pace of adoption, it is very possible that it will reach 20% of all daily contributions before the end of 2026. Although there are nuances that should be highlighted. Why is it important. Claude Code is slowly gaining the reputation of being the favorite tool for programming with AI. The tool works radically differently than traditional code wizards. It is not a chatbot integrated into an editor like Cursorbut rather a terminal tool that reads entire code bases, schedules multi-step tasks, and executes them with full access to the developer’s computer. You can start from spreadsheets, entire repositories, or web links, understand context, verify details, and complete complex objectives iteratively. The interesting thing is that, by default, Claude Code includes a co-authorship note if the user has used this tool in their program and uploads it to Github. But the user can also decide not to include that signature if modify the parameters by Claude Code, so that 4% could remain small. In March of last year, a month after its launch in private beta, Claude Code already had the co-authorship of about 15,000 Github commits in a period of 48 hours. Things have ended up escalating quickly. Opinions. The newsletter stands out the comments of some industry professionals regarding the vibe codding. Andrej Karpathy, one of the first to coin the term vibe codding, recognized in a post that he is “starting to lose the ability to write code manually.” Ryan Dahl, creator of Node.js, counted directly that “the era of humans writing code is over.” Boris Cherny, creator of Claude Code, assures that “practically 100% of our code is written by Claude Code + Opus 4.5“. Even Linus Torvalds, creator of Linux, has fooled around with vibe codding for some of his personal projects. It should be noted that, despite all the benefits of Claude Code, it is not perfect. Already we pointed out some time ago the words of Kelsey PiperAmerican journalist for The Argument, who explained that 99% of the time using Claude Code is like having a magical, tireless genie, but 1% of the time it’s like yelling at a pet for peeing on the couch. He can and does make mistakes. It also gets stuck. Hence, the expertise of the person who uses it also plays a very important role. Beyond programming. There is an increasingly latent threat with the use of AI tools (well there are a few that accumulate already). And according to account SemiAnalysis, any information work that follows the READ-THINK-WRITE-CHECK pattern can be automated with this technology. The report mentions sectors such as financial services, legal, consulting and data analysis, which add up to billions of workers globally. Anthropic has already taken the next step with coworkreleased a few weeks ago, which is basically Claude Code applied to general office work. According to the company itself, Cowork was developed by four engineers in ten days, mostly with code generated by Claude Code himself. The tool can create spreadsheets from receipts, organize files by content, write reports from scattered notes… And all with access to your computer. The big consultancies and AI. In December, Accenture signed an agreement to train 30,000 professionals on Claude, the largest deployment of Claude Code to date. OpenAI, for its part, Frontier has launched focused on business adoption so as not to lose steam in the field of corporate use of AI, a business that can end up being very lucrative for startups. Cover image | Anthropic and Mohammad Rahmani In Xataka | Programming is the new board of AI. OpenAI and Anthropic have made it clear with GPT-5.3-Codex and Claude Opus 4.6

Github is vital for millions of users. That is why it has become the perfect place to hide malware

July 19, 2025 by usatoday24

When a tool is so useful that no one dares to block it, it becomes a magnet for attackers. That is what is happening with GITHUB: public repositories, camouflaged archives and malicious loads that go unnoticed in corporate environments. Cisco Talos has uncovered a campaign that demonstrates it. The campaign, active since February 2025, was not an isolated experiment. It was a well structured operation based on the malware-as-a-service model (MaaS), in which attack tools are sold as if they were cloud services. In this case, the operators used Github to distribute malware through seemingly harmless links. When the malicious code hides in full view “In many environments, a malicious download from Github may seem Normal traffic”, Talos researchers explain. And there is the problem: the actors behind this campaign knew how to move between the legitimate and the harmful without raising suspicions, using the platform owned by Microsoft as an undercover distribution channel. The process began with Emmenhtal, a Loader designed to act by layers. Three of them were exclusively responsible for hiding the code. Only at the end of the process a script was executed in Powershell that contacted a remote address to download the real payload. That payload was Amadeya malware known since 2018 in Russian speaking forums. Its main function is to collect information from the infected system and Download additional files depending on the profile of the equipment. The most striking thing is that these files did not One of the most active accounts was legendary99999. In it, more than 160 repositories with random names were detected, each hosting a single malicious file in its release section. From there, the attackers could send direct links to the victims, as if it were any other legitimate download. Legendary 99999999999999 Settle Legendary9999 was not an isolated case. Talos identified other accounts, such as Milidmdds or DFFE9EWF, which followed a similar pattern: random names, repositories with harmless appearance, but designed to execute malicious loads. In total, malware samples such as Rhadamanthys, Lumma, Redline or even legitimate tools such as Putty and Selenium Webdriver were detected. The operation was always the same: once the equipment was infected, Amadey downloaded the necessary file from Github, according to the needs of each operator. The most striking is the flexibility of the operation: from remote access Trojans such as Asyncrat, to scripts disguised as MP4 files or even python code with hidden functions. Github acted quickly. As soon as Talos notified the findings, LThe accounts were eliminated. But the problem does not seem to be the platform yes, but the strategy behind its use: take advantage of legitimate and necessary services to hide malicious activities. Images | Xataka with Gemini 2.5 Flash | Talos In Xataka | The “Son in Hurry” scam had been wreaking havoc throughout Spain for years. Police are finally dismantling it

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