In this episode, we dive deep into Google DeepMind’s cutting-edge roadmap for ensuring the safe development of Artificial General Intelligence (AGI). Based on their April 2025 technical paper, we unpack how DeepMind plans to prevent severe risks—like misuse and misalignment—by building multi-layered safeguards, from model-level oversight to system-level monitoring. We explore the four major AGI risk categories, real-world examples, mitigation strategies like red teaming and capability suppression, and how interpretability and robust training play a crucial role in future-proofing AI. Whether you're an AI researcher, policymaker, or tech enthusiast, this is your essential guide to understanding how leading scientists are engineering AGI that benefits, rather than threatens, humanity.