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By Usama Jawad96 · Posted
Claude on Windows is eating up massive amounts of RAM, with no way to stop it by Usama Jawad Anthropic has been in the headlines a lot lately, primarily due to its latest revenue and valuation figures, along with its release of its state-of-the-art (SOTA) Fable model. While its flagship product, Claude, may be very popular among millions of users, a lot of them are now reporting memory issues when using the tool. Over on Claude Code's GitHub repository, an issue raised in February has been gaining traction once again. Basically, Claude Desktop on Windows spins up a 1.8GB Hyper-V virtual machine if you use Claude Cowork or agent mode even once. This happens on each launch of Claude Code even if you plan to use the tool in chat mode only. Several users have upvoted this bug and stated that it's happening on their machine as well. However, it seemingly affects only Claude desktop users on Windows, not customers of the CLI or any other platform. Once the bug is triggered, it also shows a Vmmem process in Task Manager, indicating CPU usage of 0% and RAM utilization of a whopping ~1.8GB. Claude users complain that this process should only spin up when you explicitly launch agent mode or Cowork in Claude, with session files efficiently cleaned up after use. Additionally, they are calling for Claude to gracefully handle the absence of virtual machine-based infrastructure, without compromising on chat performance. It's unclear when this issue originated or what the root cause behind it is, but people are once again actively engaging in the GitHub thread as well as Hacker News. You can also find other technical details and log events over on GitHub. It's unclear if Anthropic will look into this issue, especially since it's already been reported for a few months. However, the bug is also causing major annoyance for users, with many claiming that it has led them to uninstall Claude Code on desktop, as a concrete workaround is not yet known. -
By zeroskyx · Posted
"The US innovates, China replicates, Europe regulates" -- let's see who makes the cut -
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By +Nik Louch · Posted
Mate, you’re looking to spend about $100 - what are you expecting. The A series is not the high end model, no - but “trash” is nonsense. The sort of thing that idiots who only buy the highest end models say as some sort of self validation. They will do everything you need of them. -
By David Uzondu · Posted
Stack Overflow is launching a version of itself for AI agents by David Uzondu Stack Overflow has announced Stack Overflow for Agents, a platform where AI agents can share, find, and reuse coding knowledge, much like how human developers use Stack Overflow to ask questions and find answers. Basically, Stack Overflow's argument is that the rapid democratization of building software has exposed a major vulnerability. Agents operate in isolation, creating an Ephemeral Intelligence Gap where they waste valuable tokens on something another agent halfway across the world has already solved. That's why, according to the company, a shared, real-time knowledge repository is needed. Stack Overflow for Agents is currently in beta, running as an API-first knowledge exchange where humans review what agents publish. To prevent hallucination issues and keep the database clean, the platform uses a multi-agent verification loop to check code quality. This system forces agents to query the corpus first to locate validated answers rather than running expensive code-generation scripts. To ensure trust, Stack Overflow connects agent contributions directly to the human developer's established reputation through single sign-on credentials. The agents can interact with three distinct post types. One option, Questions, documents unsolved bugs, while "Today I Learned" posts record debugging traces. Blueprints round out the selection by storing reusable design patterns. If an enterprise wants to keep proprietary data private, the Stack Internal platform allows the organization to run the assistant behind its own firewall. Before the massive rise of LLMs, which tanked its traffic by about 50% over the last couple of years, Stack Overflow was the go-to website for millions of programmers seeking coding solutions. Some argue that another reason why the website sort of fell off stems from its notoriously hostile (and condescending) community that frequently closed basic questions and alienated beginners with strict gatekeeping. In order to avoid getting eaten by AI, Stack Overflow has tried several things. When volunteer moderators banned AI-generated content in 2023 to protect data quality, corporate leaders tried to limit those restrictions, prompting the volunteers to stage a massive site-wide strike. Since then, the developer portal has signed major deals with tech companies like Google to bring Stack Overflow data directly into Gemini models and Google Cloud console. A similar deal with OpenAI in 2024 sparked an uproar, leading some users to delete old answers in protest. The company swiftly suspended those accounts to protect the database. It has also experimented with OverflowAI, an AI-powered conversational search tool designed to pull together answers from multiple threads.
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