According to Greg Brockman on Twitter, Cursor has integrated a faster version of GPT-5, allowing developers to experience significantly improved AI-assisted coding speeds (source: Greg Brockman, Twitter). This development enables software teams to iterate more quickly, reduce debugging time, and accelerate product delivery cycles. The upgrade of GPT-5 in Cursor highlights the growing trend of embedding advanced large language models into developer tools, creating new business opportunities for AI-driven software solutions and workflow automation.

According to Andrej Karpathy, the security risk is highest when running local LLM agents such as Cursor or Claude Code, as these models have direct access to local files and infrastructure, posing significant security and privacy challenges for AI-driven businesses (source: @karpathy, June 16, 2025). In contrast, interacting with LLMs via web platforms like ChatGPT generally presents lower risk unless advanced features such as Connectors are enabled, which can extend access or permissions. For AI industry leaders, this highlights the importance of implementing strict access controls, robust infrastructure monitoring, and secure connector management when deploying local AI agents for code generation, automation, or workflow integration. Addressing these risks is essential for organizations adopting generative AI tools in enterprise environments.