Jung Yeon-tae’s Professional GPT Revolution 5 | Taking Aim at ChatGPT’s Chronic “Hallucination” Problem

The OXMV framework introduces a principle of not automatically trusting even the premise of a user’s question. This means that assumptions embedded in prompts, such as "Why did A cause B?", are separated into "Prompt Premises" and evaluated for factual accuracy before being used as foundations for further reasoning. This mechanism addresses a subtle failure mode where AI might eloquently explain something based on an unverified, false premise.

Beyond prompt scrutiny, OXMV also deconstructs sentences into "Atomic Claims," allowing each material proposition to be individually verified. This process retains important boundaries like time, population, and scope with each claim, aiming to control semantic strengthening where, for example, "may improve" becomes "has been proven to improve," or specific conditions are generalized into universal conclusions.

A further principle of OXMV is distinguishing between a source and actual evidence. The system separates the questions of whether a source exists and is correct, from whether its relevant passage directly supports a claim, and if that evidence is sufficient for the claim's strength. This separation is intended to ensure that retrieval of a document does not equate to verification of its contents or the claims it is used to support.