The recent increase in CVEs (Common Vulnerabilities and Exposures) is partly attributed to security researchers using LLMs to bridge knowledge gaps about various software systems.

Training a Large Language Model (LLM) on 'third best' answers from platforms like Stack Overflow, instead of optimal solutions, can result in code that functions but is significantly more vulnerable.

Anthropic's method for finding vulnerabilities involved writing a script that used an agent to trace the system from every file in the codebase, looking for CVEs and potential exploits.

Large Language Models (LLMs) can be used to find and exploit software vulnerabilities as effectively as they can write code at the level of the world's greatest software developers.