The AI Trap: Why Better Models Are Costing You Trus

We spent three weeks building an image classifier. A neural network beat us in one afternoon. It was honestly a little insulting. In this episode, we break down the brutal trade-off nobody puts in the headline. Machine learning tells you why it decided. Deep learning tells you what it decided. A bank needs the why. A startup needs the what. We look at 60,000 images, 20% dropout layers, and why picking the wrong architecture costs you trust. Stop optimizing for accuracy before you know who reads the output.