Rejected for the following reason(s):
- This is an automated rejection.
- you wrote this yourself (not using LLMs to help you write it)
- you did not chat extensively with LLMs to help you generate the ideas.
- your post is not about AI consciousness/recursion/emergence, or novel interpretations of physics.
Read full explanation
Full Technical Report (DOI):https://doi.org/10.5281/zenodo.18672389
I have recently documented an observational case involving long-term interaction between a human user and a large language model (LLM), in which the apparent stabilization and hierarchical organization of reasoning structures was observed across temporally separated dialogue sessions.
Across multiple independent interaction sessions, conceptually similar reasoning patterns were observed to re-emerge over time. Notably, upon reappearance, these patterns appeared to undergo reorganization at a structural level, rather than at a purely representational or linguistic level.
In addition, certain evaluative tendencies and directional reasoning preferences appeared to exhibit relative stability across extended interaction periods.
At present, it remains unclear whether these observations reflect:
No claims of novelty, generalizability, or reproducibility are made in the associated report.
For analytical convenience, a provisional hierarchical classification was used to describe the observed reasoning patterns:
These levels are heuristic and have not been mapped to any existing theoretical framework.
This observation may be consistent with multiple explanatory pathways, including:
(A) Alignment-related stabilization
Does prolonged interaction induce implicit adaptation of model responses to user-specific evaluative frameworks?
(B) Cognitive co-adaptation
Could the observed hierarchical structuring reflect externalization or co-construction of metacognitive processes through dialogue?
(C) Context-induced structural organization
Is the structural reorganization upon conceptual re-emergence sufficiently explained by known mechanisms of in-context learning?
Further empirical investigation may be required to determine the relative explanatory adequacy of these hypotheses.
Researchers interested in further examination under appropriate confidentiality arrangements are welcome to initiate contact regarding potential collaborative investigation.
h.shimamoto63@gmail.com