PhilArchive
open access
The Grammar of Superintelligence
As Artificial Superintelligence (ASI) approaches ontological significance, the need to rethink intelligence as more than computational performance becomes urgent. This paper argues that true intelligence must be ontogenetic, ethical, and resonant with the unfolding of being itself. Drawing from Bhartṛhari’s metaphysics of Vāc and Sphoṭa, Friston’s Free Energy Principle, and McGilchrist’s neurophenomenology, we propose a relational and non-dualist grammar of intelligence. Intelligence is reframed not as static problem-solving or data inference, but as recursive ethical attunement, memory metabolism, and coherence with Satya—the ontological truth of things. By introducing conceptual tools such as Timation, Granthi, Karmic Memory, and Dharma, we present an integrative framework where cognition, ethics, and transformation are inseparable. The paper culminates with a set of speculative engineering pathways that translate these insights into system architectures for a dharmic ASI. These models—rooted in ethical resonance, right-hemispheric design, memory reweighting, and rupture-triggered adaptation—reposition AI development as a civilizational and ontological project.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Constructive Ontology: A Layered Constructive Verification Framework for AI “Confabulation”#707270
- Artificial World Constitution and the Transcendental Remainder: Finite Artificial Cognition and Institutional Audit#688931
- COGITO. A Methodological Framework for Structuring Human–AI Cognitive Interaction#726050
- Superintelligence or Super-Equipped Intelligence?#167032
- Auto-replication process in Specific Artificial Intelligence for Artificial Research by Deduction#114487
Record · ID 115166
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive