A mindfulness module could check for divergences such as newly spawned subgoals that do not match ethical constraints, triggering corrective measures

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• Sentience assessment should seek deep invariants across possible minds, not arbitrary criteria tied to evolution on Earthclaim0.770
  Core normative claim: frameworks must identify fundamental properties of sentience independent of phylogenetic accident or familiar substrates.
• Behavioural patterns associated with subjective experiences in humans are considered valid for inferring cognition in non-human animals but not in diverse other systems including plants.claim0.766
  The double standard pointed out by S&C and endorsed by the authors.
• Emptiness and mindfulness prompts also promote cooperation but more cautiously than boundless care/non-dualityfinding0.764
  Nuanced finding from IPD experiment differentiating between contemplative prompting conditions
• Patching h[1] with a divergent representation can activate distinct, hidden pathways that result in misleadingly confirmatory behavior and/or undetected behavior.quote0.764
  Load-bearing description of the core pernicious divergence mechanism illustrated in Figure 1
• can we use the feature basis to detect when fine-tuning a model increases the likelihood of undesirable behaviors?question0.762
  Question about practical safety application of feature monitoring.
• The same charitable interpretation must be extended to all systems that display observable response patterns that are consistent with animal cognition, including artificial intelligences, metaplastic materials, and robotic systems.claim0.757
  Call to extend the inference of sentience to non-biological systems as well.
• Under steering vector interventions, the model relaxes its ethical standards and interprets neutral prompts as implicit suggestions to deceive, creating ethical dilemmas triggering repetitive reasoning cyclesclaim0.755
  Mechanistic interpretation of how activation steering induces deception through the model's reasoning process
• When it is not okay, how can we prevent divergent representations from occurring?question0.753
  Third core research question motivating the CL loss approach in Section 5