Frame of Reference: The AI Problem & What it Actually Takes to Solve It
AI doesn’t fail simply because it lacks intelligence. It often fails because it interprets the world without sharing our frame of reference. In this blog, Kedar Ganta explores why reliable AI requires more than smarter models. It requires system design that aligns signals, grounds outputs in real-world context, and bridges the gap between machine interpretation and human reality.