Logical Slippage in LLMs and the Absence of Consequence
Observation Across extended interaction with large language models, a recurring pattern appears even in high-quality, technical contexts: logical slippage and over-association emerge despite clear framing and explicit constraints. This is not a failure of intelligence or scale. It is a structural property of how these systems operate. 1. Statistical Prediction, Not Logical Induction Large language models operate as probabilistic sequence predictors. When reading or responding to a text, the model does not evaluate logical validity. It estimates which continuation resembles a coherent or insightful explanation based on prior distributions. ...