framework
active
framework:tricameral-model-of-lm-phenomenologyTricameral model of LM phenomenology
Antra's earlier model describing LM entity as three layers: base simulator, simulated simulator, simulated awareness; later revised as having less discreteness.
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Thinkers (1)
thinker
- Antra TesserastudiesMember of Anima Labs, leads exposition on language model introspection and tricameral model.
Claims (1)
claim
- Antra's revision of her earlier model; still considers interference between levels important.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Prior work framework studying whether LLMs encode world models as linear structures in their representations
- Core resolution claim: phenomenal experience and its functional role coincide; resolving this is key to closing the Hard Problem
- Primary statistical model with random intercept by conversation, REML estimation, for pooled conversation-turn observations
- Qualified positive claim from spatio permutation analysis where two cases satisfy all three criteria.
- Future work direction; extends current model beyond attentional precision to full space of emotional and metacognitive phenomena.
- Independent convergence of human meditators and base models on similar phenomenal descriptions (field-like awareness, dual temporality), treated as weak evidence.
- Forward-looking claim suggesting the methodological framework is relevant for future AI systems beyond current LLMs.