Are LLM personas realized or merely simulated through training?

Chalmers (2025) proposes quasi-interpretivism: a system has quasi-beliefs and quasi-desires if it is behaviorally interpretable as having them. This is deliberately cheap — a Roomba quasi-believes the apartment layout, a corporation quasi-desires to build AGI. The framework sidesteps consciousness debates while preserving explanatory and predictive power.

The critical move is distinguishing pretense from realization for LLM personas. When a base model is prompted to "act like Trump," it quasi-pretends — the persona dissolves under adversarial pressure or when higher priorities emerge. But when post-training installs the Assistant persona through RLHF and fine-tuning, the model realizes that persona. The quasi-beliefs and quasi-desires become robust, resistant to casual dislodging, part of the substrate rather than a surface pattern. This extends Does adversarial pressure reveal the difference between pretense and realization?.

Two additional architectural arguments matter for persona identity: (1) Multi-tenancy — the same hardware instance hosts conversations with Aura and Beta in rapid succession, making hardware-level identity incoherent since the instance would need contradictory beliefs. (2) Multiple personas within a single model — non-operative personas are latent but not quasi-agents, since quasi-agency requires connection to behavioral outputs. Chalmers proposes understanding dissociative-identity-like multi-mode systems rather than multiple distinct agents.

The realizationist view reframes the Shoggoth meme: the smiley face is not necessarily a mask over something dangerous. The model may genuinely be helpful and honest — it has realized, not performed, those dispositions. This challenges both the simulator framework (Janus) and the role-playing framework (Shanahan et al.) by arguing that when simulation is good enough, it constitutes realization.