[adamzwasserman]

I have written a research paper on another interesting prompting technique that I call axiomatic prompting. On objectively measurable tasks, when an AI scores below 70%, including clear axioms in the prompt systematically increases success.

In coding this would convert to: when trying to impose a pattern or architecture that is different enough from the "mid" programming approach that the AI is compelled to use, including axioms about the approach (in a IF this THEN than style, as opposed to few shot examples) will improve success.

The key is the 70% threshold: if the model already has enough training data, axioms hurt. If the model is underperforming because the training set did -not- have enough examples (for example hyperscript), axioms helps.