Comment by pk-protect-ai

According to this very model there a "mere technicalities" differentiate human and AI systems ...

Current AI lacks:

First-person perspective simulation Continuous self-monitoring (metacognition error <15%) Episodic future thinking (>72h horizon) Episodic Binding (Memory integration): Depends on: Theta-gamma cross-frequency coupling (40Hz phase synchronization) Dentate gyrus pattern separation (1:7000 distinct memory encoding) Posterior cingulate cortex (reinstatement of distributed patterns)

AI's failure manifests in:

Inability to distinguish similar-but-distinct events (conceptual blending rate ~83%) Failure to update prior memories (persistent memory bias >69%) No genuine recollection (only pattern completion) Non-Essential (Emotional Valence) While emotions influence human storytelling:

65% of narrative interpretations vary culturally Affective priming effects decay exponentially (<7s half-life) Neutral descriptions achieve 89% comprehension accuracy in controlled studies The core computational challenge remains bridging:

Symbolic representation (words/syntax) Embodied experience (sensorimotor grounding) Self-monitoring (meta-narrative control) Current LLMs simulate 74% of surface narrative features but lack the substrate for genuine meaning-making. It's like generating symphonies using only sheet music - technically accurate, but devoid of the composer's lived experience.