Patanjali's concept of the perceptual basis of knowledge reframes how AI systems should be grounded in direct evidence rather than assumption.
Pratyaya refers to the grounds or basis upon which knowledge rests—the actual sensory or mental content that justifies a claim. Patanjali emphasizes that valid knowledge must arise from pratyaya: direct perception, inference, or testimony from reliable sources. For AI and the future of knowledge, this is revolutionary. Modern AI often operates as a black box, producing answers without transparent grounding. Pratyaya demands accountability: every claim must rest on identifiable foundations. This principle suggests future knowledge systems should be architected to show their grounds—making explicit the data, reasoning steps, and sources behind conclusions. Patanjali's framework protects against hallucination, manipulation, and false confidence. By insisting on pratyaya, we shift AI from a oracle that pronounces truth to a transparent system that proves its knowledge, making it trustworthy and genuinely transformative for human learning.
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