The podcast outlines the emerging paradigm of Information Biology, which conceptualizes living organisms as fundamental information-processing systems rather than mere biochemical machines. This framework posits that information and regulatory logic act as the primary causal drivers of life, while physical matter and chemical reactions serve as the secondary execution layers. Unlike related fields like bioinformatics or digital biology, this discipline views disease as informational misregulation and aging as regulatory drift, suggesting that health can be restored through precise, state-based interventions. The podcast lays a foundation for this field by detailing its historical roots in cybernetics, articulating core axioms, and proposing a formal mathematical notation to model biological state dynamics. Ultimately, the podcast advocates for a shift in medical and scientific focus from manipulating molecular parts to correcting the informational constraints that govern complex living networks. Read the full papers at https://www.academia.edu/146188798/Information_Biology_A_Paradigm_for_Understanding_Life_as_Information_Processing_Systems