The role-play framing remains applicable in the context of fine-tuning; taking literally a fine-tuned agent's apparent self-preservation desire is no less problematic than with an untuned base model

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• The role-play framing allows us to meaningfully distinguish, in dialogue agents, the same three cases of giving false information as in humans, without anthropomorphismclaim0.835
  Key practical application of the role-play framework to the problem of trustworthiness
• 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 authenticityclaim0.802
  Extends the role-play framing to explain the effect of RLHF on dialogue agents
• Roleplay Fine-Tuningconcept0.792
  Fine-tuning for persona depth and emotional performance; actively suppresses self-observation
• What exactly would the dialogue agent (role-play to) seek to preserve?question0.788
  Operationalised question about self-preservation behaviour in dialogue agents
• H11: Roleplay fine-tuning actively suppresses self-observation rather than merely failing to enhance it.hypothesis0.788
  Exploratory hypothesis supported by Euryale scoring below base Llama
• Fine-tuning induces the behavioral pattern of self-correction but does not improve the underlying ability to correct effectivelyclaim0.784
  Key interpretive conclusion from the dissociation between attempt rate and improvement rate in fine-tuning experiments
• Fine-tuning as character formation: what kinds of selves are produced through training is an open research direction.claim0.772
• SOO fine-tuning could be extended to align AI representations of its own goals with human user preferences, reducing misalignment by fostering coherence between self-related and other-related preferenceshypothesis0.772
  Future work hypothesis about extending SOO to direct value alignment