Have you ever wondered what goes on inside the "black box" of an AI model? This podcast delves into the fascinating world of interpretability, a field dedicated to understanding how AI models make decisions.

Join us as we explore the challenges and triumphs of mechanistic interpretability, an approach likened to unraveling the complexities of biological organisms. We'll discuss:

• Why understanding AI is crucial for ensuring its safe and reliable development.
• How AI models are more akin to evolving organisms than meticulously designed machines.
• The challenges of deciphering the densely packed "circuits" within a neural network.
• The exciting potential of interpretability to guide AI development and unlock the secrets of thinking itself.

This podcast is your guide to the cutting-edge of AI research, where scientists are pushing the boundaries of what we know about intelligence, both artificial and biological