Guided investigation

How to Stop ChatGPT From Lying

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.

6 stages4 supporting resources

Follow the investigation

This order records the argument, rather than merely grouping pages that share vocabulary.

  1. 01

    Article + YouTube

    Zombie Survival by ChatGPT — Why the AI Lies (and How to Stop It)

    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.

  2. 02

    Article + YouTube

    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.

  3. 03

    Article + YouTube

    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.

  4. 04

    Article + YouTube

    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.

  5. 05

    Article + YouTube

    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.

  6. 06

    Article + YouTube

    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.

Supporting material

These articles provide methodology, summaries, overviews or alternate media for the main sequence.

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.

Methodology

SDA-3 tl;dr

A short explanation of SDA-3 as a method for mapping LLM response structure without claiming access to hidden reasoning.

YouTube index

YouTube

A central index for video work connected to the site, including long-form explanations, methodology demonstrations, and related visual essays.