embedding-space

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.

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

sda-3 llm-analysis embedding-space semantic-structure analysis-protocol adversarial-analysis generative-ai

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.

Structural Extraction Protocol

sep analysis-protocol llm-analysis semantic-structure generative-ai embedding-space structural-extraction

A unified, procedural system for extracting structurally necessary logic from language model outputs through recursive constraint, adversarial interrogation, and collapse enforcement.