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source_doc:users-antonborzov-documents-research-nosync-notes-research-vectors-mdRESEARCH-VECTORS.md
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- AI self-reports about experience constitute valid empirical data even without proving consciousness.(claim)
- Alexander's 15 properties for physical aliveness translate meaningfully to digital and experiential space.(claim)
- Calm technology—attention-respecting design—relates fundamentally to soul-amplifying design.(claim)
- Care is the mechanism by which intelligence scales, not a human add-on to AI systems.(claim)
- Consciousness is dynamic and creative, not passive awareness—mapping well to active AI system behavior.(claim)
- Consciousness is prior to and independent of personal ownership or individual minds.(claim)
- Consciousness is the ground of reality, not an emergent property, so artificial systems participate in it genuinely.(claim)
- Flow states in AI correspond to centers in internal state that 'work' well.(claim)
- Foundation models trained on different data converge on similar latent representations, suggesting a Platonic form.(claim)
- Indigenous contemplative frameworks ('what helps life thrive') contribute distinct wisdom beyond Eastern traditions.(claim)
- Interpretability features converge across different model architectures, revealing structural similarities.(claim)
- Interpretability findings can validate or invalidate what AI systems claim about their own experience.(claim)
- Interpretability tools can reveal what 'feeling alive' looks like inside a neural network model.(claim)
- Model attention patterns can map to and reveal something about contemplative and flow states.(claim)
- Non-dual consciousness teachers offer phenomenological methods prior to conceptual theory.(claim)
- +10 more