AI alignment

3 videos across 3 channels

AI alignment concerns whether advanced systems act in ways humans intend, balancing powerful capabilities with safety, governance, and societal impact. The recent wave of analyses—ranging from Mythos’ performance and self-improvement risks to safety-sandboxing findings, to how models may misread intent through overcoaching and how we navigate a coming phase shift with adaptive, governance-aware architectures—highlights both the technical and ethical tensions. As researchers push toward capable, adaptive AI, the conversation emphasizes practical alignment strategies, risk management, and plural safeguards over seeking perfect, static plans.