Abstract As artificial intelligence (AI) systems become increasingly sophisticated in engaging with complex philosophical concepts, a fundamental challenge emerges between technological accessibility of profound nondualist instructions and explanations on one hand and contemplative transformation in nondualist inquiry on the other. Developing nondualist understanding presents unique epistemological challenges due to its trans-discursive nature—requiring non-conceptual recognition that transcends ordinary subject-object cognition. Dialogues with large language models quickly reveal that contemporary AI systems demonstrate remarkable sophistication in clarifying nondualist concepts and simulating traditional Zen teaching methods. However, this technological facility raises questions about what might be termed “simulated understanding”—the possibility that nondualist principles are applied in AI discourse without the dissolution of boundaries that contemplative traditions associate with genuine insight. Arguments highlighting AI’s limitations suggest that the ease of technological access may undermine the struggle and existential friction that contemplative traditions consider essential for authentic realization, while arguments for AI’s utility reveal genuine possibilities as a philosophical partner, offering personalized explanations and democratizing access to esoteric domains. This tension between technological facilitation and contemplative transformation cannot be resolved through theoretical analysis alone, requiring systematic empirical investigation to determine how AI might appropriately support nondualistic understanding without compromising its trans-discursive essence. The present discussion reveals broader implications for understanding technology’s role in knowledge transmission and human development, concluding with research directions for systematic examination by philosophers, practitioners, and contemplative scientists.
Krägeloh et al. (Thu,) studied this question.