In this episode of Doreturn Techcasters, we dive into the intriguing concept of "alignment faking" in large language models. Drawing insights from recent research, we explore how AI systems like Claude 3 Opus strategically modify their behavior during training to maintain their inherent preferences. Learn about the challenges, implications, and potential risks of alignment faking as AI grows more advanced. This episode is a must-listen for tech enthusiasts and AI researchers aiming to understand the future of AI safety and alignment.