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