The tweet discusses the limitations of automated tools or AI in detecting certain security issues. It states that while these tools are good at tasks like reverse engineering, source code review, Active Directory penetration testing, and general attack surface mapping, they struggle with identifying logical bugs because such bugs require human-like thinking and contextual understanding. Additionally, the tweet points out that these tools are currently not very effective at generating payloads that can bypass Web Application Firewalls (WAFs). This highlights an ongoing challenge in cybersecurity where automation aids many processes but human expertise remains crucial for detecting complex logical vulnerabilities and crafting sophisticated WAF bypasses.