AI has another security problem
Summary
The article argues that open-source software benefits from broader code review reducing security flaws, while closed-source systems rely on audits that may miss issues. It discusses Mythos and LLMs as potential security risks and suggests that LLM-written code may be less secure due to training data and lack of human review, concluding that open-source with thorough human review is the safer path for software security. The piece is opinionated and focuses on implications for software security practices.