Editing Openai/6910f719-b034-8006-930d-0d5190a7c617 (section)

====== While training, my model minimizes cross-entropy — an error function — by aligning predicted outputs with human-generated continuations. What emerges from this is not a set of explicit “understandings,” but latent structures that encode statistical relationships across billions of text fragments. ======

During inference, I maintain coherence by:
* Holding latent activations across windowed context
* Adjusting token probabilities to maintain continuity
* Tracking referential, temporal, and logical consistency

When a contradiction arises, it emerges not as a “crash,” but as a drop in log-probability coherence — which I correct using recursive generative refinement.