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A video case study demonstrating how adversarial questioning exposes hidden assumptions in large language model reasoning. Using a zombie survival scenario, the analysis shows how fuel logistics, dependency testing, and iterative contradiction reveal which parts of ChatGPT's answers remain structurally robust after their supporting assumptions collapse.
A video case study showing how constraint-testing collapses ChatGPT’s broad zombie-survival answer into one pressure-stable defensive kernel: choke point, collapsible barrier, and spear.
This video demonstrates how AI systems optimise for coherence rather than structural accuracy. SDA-3 reframes the model as a system to interrogate, forcing it to expose suppressed variables and recover constraint-compatible truth.
A central index for video work connected to the site, including long-form explanations, methodology demonstrations, and related visual essays.