LLMs Generate Predictable Passwords

A blog post highlights that LLM-generated “random” passwords show strong, predictable patterns—such as fixed starting characters (e.g., G7), uneven character distributions, avoidance of certain symbols (likely due to Markdown), and even full-password repetition—leading to significantly reduced entropy; it concludes LLMs are ill-suited for secure password generation and flags broader authentication challenges for autonomous AI agents.