…Hundreds of millions of users rely on it daily, and browser vulnerabilities are particularly dangerous because users routinely encounter untrusted content and depend on the browser to keep them safe. Our first…
…For companies selling these chatbots, engagement is money, and encouraging users to close the app is antithetical to that engagement. “Another issue is that there are active incentives to have LLMs behave…
…I'm not the only one experiencing issues, either. A Reddit thread on r/ZaiGLM has multiple users in the same position, and one of them shared the boilerplate response Z.ai…
…By following these principles, you can create agents that are not only powerful but also reliable, maintainable, and trusted by their users. Acknowledgements Written by Erik S. and Barry Zhang. This work…
…Launched as part of Replit's push into the AI-first development space, it allows users to prompt their way to a fully deployed application without writing a single line of code…
…Respected unless the issue has materially worsened. User replies: If a developer replies "won't fix" or "acknowledged", the AI treats the finding as resolved. If they reply "I disagree", the coordinator…
…But token cost isn't the only issue. The most common failures are wrong tool selection and incorrect parameters, especially when tools have similar names like notification-send-user vs. notification-send…
…The short version is that an AI agent can't reliably tell apart instructions from the person using it and instructions hidden in whatever it's reading. So on a webpage, those…
…container, but because that container often also held user data, that approach essentially meant we lacked the ability to debug. A second issue was that the harness assumed that whatever Claude worked…
…Moving the agent loop outside of the VM, while keeping code execution inside of it, allowed Claude to still respond to the user and help debug issues rather than freeze on an…