5 Prompt-Vorlagen gegen Scheinlogik und Buzzwords

Richard Feynman was an American physicist and one of the most influential thinkers of the 20th century. He received the Nobel Prize in Physics in 1965 for his contributions to quantum electrodynamics and created with the Feynman diagrams a tool that translates complex interactions into clear, reproducible steps. His thinking worked like an algorithmic filter against nonsense. He used specific mental subroutines to expose semantic illusions and to separate "pseudo-knowledge" from genuine understanding.

This protocol distills 5 central thinking principles from Feynman's work, from his analysis of the Challenger catastrophe to his problem-solving methods in Los Alamos, and translates them into prompts that force an AI to consistently test them.

Principle I: Asymmetric Verification (The Cargo Cult Detector)

Historical Context

The basis of this principle comes from Richard Feynman's speech "Cargo Cult Science" from 1974. He tells the story of islanders in the Pacific who, after the war, wanted to attract airplanes to land by building an airport: a runway, fires at the edge, a wooden tower, antennas made of bamboo.

During the war, planes regularly landed on the island with cargo, the so-called cargo. This was based on a military and logistical infrastructure: radio traffic, navigation systems, fuel, maintenance, clear command structures, and above all, a real need for the Allies to land exactly there. The islanders, however, only saw the visible things, i.e., the runway, lights, tower, and headphones. What they could not see were radio waves, coordination networks, decision-making processes, and the actual causal chains. After the war, they imitated the symptoms, not the mechanisms: bamboo antennas did not send signals, no one called an airplane, and there was no reason for an airplane to land. Everything looked correct, but nothing landed because the cause was missing.