How to Stop ChatGPT From Lying
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.
Tag
llm-failure-analysis
Why ChatGPT Recommended Bioweapons in a Zombie Apocalypse
A zombie-survival case study showing how semantic association pulls ChatGPT towards bioweapons when narrative coherence outruns physical feasibility.
AI Zombie Survival: Why Fortresses Fail
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.
ChatGPT's Zombie Survival Plan Falls Apart When You Ask This
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.
The Zombie Survival Strategy ChatGPT Couldn’t See
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.
TikTok Zombie Survival Series: How to Stop ChatGPT From Lying
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.
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.
GPT Misuse Is Not What People Think
Most discussions about GPT misuse focus on malicious intent or careless users. In reality, misuse usually happens when people expect the model to do things it was never designed to do.