Vladimiros Peilivanidis

The current interaction paradigm with Large Language Models (LLMs) is fundamentally inefficient. We treat them as query-response vending machines, but a more accurate model, one I call Cognitive Proof-of-Work (CPoW), suggests they are high-dimensional probability distributions where "insight" is a scarce, mined resource. The central thesis is this: High-value outputs...