This podcast episode features Misha Laskin, CEO of Reflection AI, who shares insights into the evolution of AI agents, emphasizing the need for a new approach to develop systems with true agentic capabilities. Laskin discusses his journey in AI, the limitations of current models like AlphaGo and LLMs, and the importance of addressing issues related to depth, reliability, and task complexity. He warns against merely expanding breadth without focusing on depth, advocating for a balance to unlock AI's true potential in enhancing human productivity while ensuring safety and reliability.