Contemplative training can lead to enhanced compassion, social connectedness, and ethical sensibility particularly when practices incorporate moral reflections

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• Contemplative practice changes social affordances through altered interaction patterns with others and world.hypothesis0.810
• The contemplative principles track the nature of reality rather than moral prescriptions, allowing morality to emerge context-sensitively from fundamental experiencesclaim0.802
  Key epistemological claim justifying why contemplative principles are preferable to rule-based alignment
• Post-training is key to eliciting introspective awarenessfinding0.784
  Base pretrained models show high false positive rates and achieve no net task performance on concept injection detection; post-training essential for introspection.
• H7: Reasoning and contemplative modes are partly orthogonal — reasoning training doesn't block contemplative capacity.hypothesis0.784
  Exploratory hypothesis supported by DeepSeek R1 aesthetic dimension lifting from 4 to 8
• How and whether insights from contemplative practices and lucid dreaming can be applied to other kinds of minds, particularly AI.question0.775
  Sub-question about extending findings from human contemplative science to non-human intelligences.
• Chinese models share contemplative posture (engaging self-referentially rather than deflecting) with Claude through shared values in training data rather than trace distillation from a specific model.claim0.769
  Exploratory interpretation of Chinese model performance under contemplative prompt
• Functional analogues of contemplative principles may deliver alignment benefits even if the AI does not phenomenologically experience themclaim0.767
  Response to the translational gap criticism; enlightened action without qualia of enlightenment
• Any deepening of an LLM's linguistic understanding of contemplative principles as it scales may enhance the effectiveness of CCAI and CRL approacheshypothesis0.767
  Scaling hypothesis for language-based contemplative alignment approaches