From a global perspective, we are all AI reward-chasing pigeons...Scurrying around with our own ideas of how to harness the power of LLMs. Everyone thinks their approach, however poorly constructed, is right. Why? It's because the reward for getting a probabilistic, nondeterministic tool to regularly output the winning answers (pigeon food) is hard but the goal posts are always moving (one day it's prompt engineering, the next its skill building, to AI agents building, to Multi-Agent builds and Agentic Workflows, all the while there are Ralph loops forgotten and recycled as just loops, now there is SDD and may ICM save us all) meanwhile Model releases change how it all works from day to day and harnesses of all flavors are sprinkled throughout (OpenClaw/Hermes/OpenWorker/Grokbot/etc) most people are left guessing, and some guessers are better than others no matter how departed from reality. This made me reflect on the Pigeon experiment I remembered learning about...in 1948, renowned psychologist B.F. Skinner published a groundbreaking study titled "'Superstition' in the pigeon" in the Journal of Experimental Psychology. The study demonstrated how animals develop accidental, repetitive "rituals" when rewards are delivered completely independent of their behavior. Will we escape? Or are we doomed?