Written by AI, Managed by AI: Semantic Space Control and Index Sickness Elimination Across 391 Consecutive Sessions

The paper discusses the challenges of managing conceptual drift in long-horizon LLM collaborations, particularly highlighting a phenomenon termed "Index Sickness," where overly complex symbolic systems lead to a decline in output quality. The authors propose the "Pang Principle," which asserts that natural language provides superior information quality compared to symbolic representations, and introduce "Baseline-Log Physical Separation" as a solution that reduced AI instruction volume by approximately 75% and eliminated Index Sickness in subsequent sessions. This work is significant for practitioners as it provides insights into effective LLM management strategies and emphasizes the importance of maintaining semantic clarity in AI interactions.