Methodology
SDA-3 protocol
This post introduces SDA-3, a protocol for inferring the structure of an LLM’s embedding space through observable outputs, without relying on access to internal weights or hidden states.
Guided investigation
A staged investigation using a zombie-survival stress test to expose coherence smoothing, hidden assumptions and structurally weak answers in ChatGPT.
Follow the investigation from ChatGPT's initial survival answer through adversarial questioning, structural convergence, historical testing, a bioweapons failure and the final supervised method.
This order records the argument, rather than merely grouping pages that share vocabulary.
Article + YouTube
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.
Article + YouTube
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.
Article + YouTube
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.
Article + YouTube
A Shorts companion to the zombie-survival sequence showing how historical scarcity warfare validates the move away from permanent fortresses and towards mobile, temporary micro-fortifications.
Article + YouTube
A zombie-survival case study showing how semantic association pulls ChatGPT towards bioweapons when narrative coherence outruns physical feasibility.
Article + YouTube
ChatGPT does not directly optimise for truth. This article explains how to force coherent but weak answers through contradiction, constraint and structural collapse until a more defensible answer remains.
These articles provide methodology, summaries, overviews or alternate media for the main sequence.
Methodology
This post introduces SDA-3, a protocol for inferring the structure of an LLM’s embedding space through observable outputs, without relying on access to internal weights or hidden states.
Methodology
A short explanation of SDA-3 as a method for mapping LLM response structure without claiming access to hidden reasoning.
TikTok series
A sequential TikTok index for the zombie-survival ChatGPT series, moving from SDA-3, adversarial questioning and historical pressure-testing to bioweapons failure and the final method for forcing ChatGPT past weak coherence.
YouTube index
A central index for video work connected to the site, including long-form explanations, methodology demonstrations, and related visual essays.