Today on Adeptus On-Air host Mike Hoffman chats with Octavian Cristea, a Romanian entrepreneur and former game developer who founded an alternative music platform designed to move beyond algorithm driven recommendations. Octavian explains how most major platforms rely on shallow behavioral metrics to predict what users want, often reinforcing addictive and repetitive content rather than meaningful discovery. He argues that algorithms reward predictability and volume, which pressures creators to chase trends instead of investing time in deeper, more original work. He shares how his platform pays real users to compare songs head-to-head, allowing human judgment rather than automated metrics to determine what rises to the top. He reflects on his own career shift from game development to investing to building this platform, driven by concerns about inequality and the way digital systems shape taste. Tune in to hear more about how algorithms shape creativity, why addictive content is not always valuable, and what happens when people rather than machines decide what deserves attention.