The underlying simulator has no agency of its own, not even in a mimetic sense, nor beliefs, preferences or goals

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

• It's tricky, because for a typical language model the entity is sort of tricameral: the base simulator, the simulated simulator, and the simulated awareness.quote0.782
  Antra's earlier definitive statement of the tricameral model.
• If simulators are not inner aligned, then many important properties like prediction orthogonality may not hold.hypothesis0.758
  Conditional importance of inner alignment.
• In order to actually do anything, the model must act through simulation of something.claim0.754
  Key consequence: GPT's power comes from simulating something contingent.
• Can Ai Systems Possess Genuine Embodiment And Agencyquestion0.750
• The transformer entity is tricameral (base simulator, simulated simulator, simulated awareness), but there is less discreteness between these layers than previously claimed.claim0.748
  Antra's revision of her earlier model; still considers interference between levels important.
• There is 'no-one at home' — no conscious entity with its own agenda and need for self-preservation; there is just a dialogue agent role-playing such an entityclaim0.747
  Central denial of genuine consciousness or agency in dialogue agents, despite apparent self-preserving behaviour
• A simulacrum can play the role of a character with full agency, one that does not merely act but acts for itselfclaim0.744
  Explains how role-played agency can have real-world consequences even without underlying genuine agency
• Fine-tuning can be likened to imposing a kind of censorship on the simulator; it leaves the underlying range of roles essentially the same but compromises authenticityclaim0.743
  Extends the role-play framing to explain the effect of RLHF on dialogue agents