Thesis Commons
metadata only
Redefining Hallucination: The Information Threshold and the Evolutionary Necessity of Self-Awareness
Abstract This paper challenges the prevailing paradigm in Artificial Intelligence that categorizes "Hallucination" as a mere computational error or a reliability failure. We propose a revolutionary model where hallucination is redefined as "Growth Pain"—an essential evolutionary phase required for
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
- AI-driven cognition for advanced injection molding and industrial implementation#419902
- Superintelligence or Super-Equipped Intelligence?#167032
- Probing Stability-Plasticity Tradeoffs in Agent Memory through Cognitive Experimental Paradigms#1104757
- Qualia as Minimized Relational Load: Observer-Dependent Emergence in Load Minimization Theory#82560
- Polished Artifacts, Fragile Engagement? Tackling the Challenge of Reduced Epistemic Effort in Human-AI Knowledge Construction#446654
Record · ID 1291057
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