Alignment

AI Alignment is the study of ensuring that artificial intelligence goals remain perfectly synchronized with human values. In this section, we discuss the theoretical and practical challenges of the "alignment problem," exploring techniques like Reinforcement Learning from Human Feedback (RLHF), Constitutional AI, and verifiable safety protocols. This is a space for high-level research into how we can build superintelligent systems that are inherently beneficial and safe for humanity, even as their capabilities surpass our own understanding.