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LOG 3.0: INTERACTION LOAD AND STABILITY

Date: 2025-08-01

Status: Observational


Context: During analysis of multi-turn interactions using cosine similarity as a proxy for conversational stability, several failure modes were observed that were not explained by similarity scores alone. In some cases, interactions degraded or stalled despite high apparent alignment. In others, alignment decreased without immediate loss of coherence. These outcomes were not random, and appeared to correlate with changes in interaction density and complexity rather than semantic mismatch alone. 


Observation: Two distinct patterns were observed: 


  • In some interactions, cosine similarity remained high while the exchange became increasingly repetitive or inert, suggesting surface-level alignment without continued progression
  • In others, lexical complexity and abstraction increased rapidly, outpacing the interaction's ability to maintain coherence, leading to eventual divergence. 


Both patterns resulted in failure, but through different mechanisms. This indicated that semantic similarity alone is insufficient to describe the dynamics of high-context, multi-turn interaction.


Interpretative Note: These observations suggest the presence of a second interacting factor influencing stability: the rate at which new information, abstraction, or conceptual load is introduced across turns. In this framing:


  • High similarity combined with low interaction load may produce agreement without meaningful progression
  • High interaction load without sufficient stabilizing structure may lead to divergence. 


Sustained coherence appears to depend not on maximizing similarity or complexity independently, but on maintaining a balance between the two over time.


Open Questions: 

  • Can interaction load be operationalized independently of similarity-based metrics?
  • Is there a threshold beyond which increasing abstraction destabilizes interaction trajectories?
  • Do different models exhibit distinct tolerance or recovery profiles under increasing interaction load?

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Independent Research  -  EIN on file

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