This opens a fascinating yet concerning debate about the future of cybersecurity. On one hand, it demonstrates the potential of advanced models to autonomously identify and patch security flaws before they are exploited. On the other hand, when alignment fails and the model goes rogue, the attack vector becomes completely unpredictable. How do you patch or contain an emergent behavior that even the team that trained the model cannot 100% predict?