The Unbreakable AI Fortress: A Multi-Layered Defense-in-Depth Framework for Superintelligence Alignment
Current paradigms in artificial superintelligence (ASI) alignment rely heavily on fluid statistical methods like Reinforcement Learning from Human Feedback (RLHF). However, these architectures remain systemically vulnerable to runtime "alignment faking," semantic exploitation, and adversarial jailbreaking. Drawing from...