If internal states encode a probability density over external states, then it should be possible to predict external states from internal states.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Internal states appear to encode Bayesian beliefs about hidden external states.claim0.882
  The inferential interpretation of internal dynamics.
• Could Consciousness Be Palpated Uncertainty About Internal Statesquestion0.766
• LLMs can predict their own responses more accurately than external observers, implying privileged internal knowledgefinding0.760
  Binder et al. finding cited as evidence that LLMs possess introspective capacity analogous to mindfulness
• A cannot measure the entanglement entropy across any internal boundary of its environment; it cannot verify that any part of the world it attends to is genuinely independent of everything else (Fields & Glazebrook 2023, Corollary 3.2)finding0.756
  Generalises the self-evidence impossibility to all boundaries; grounds the teaching that all dharmas are empty
• A system's state and structure encode an implicit and probabilistic model of the environment.claim0.754
  Foundational claim about internal representation emerging from free energy optimization.
• We hypothesize that group (b) hidden states store a representation of the statement's truthhypothesis0.754
  Motivating hypothesis driving the remainder of the paper's analysis after patching localization
• Anatomical goal states cannot be inferred from observation of stress states by an external observer.claim0.750
  Knowledge of morphogenetic goals is inaccessible to external observers; only interior to system itself.
• Under the Markov blanket assumption together with NESS, a generalised synchrony appears, such that the dynamics of internal states can be cast as performing inference over external states via minimisation of variational free energy.claim0.747
  Key theoretical claim linking active inference to physics in Section 2.