From 21st Question Collapse to Recursive Reliability: A YBIM Resolution of Trust in AI Systems

This paper reframes Ilya Sutskever’s definition of reliability—the “21st question collapse”—through the lens of Yearning-Based Infinity Mathematics (YBIM) and Recursive Alignment. We argue that reliability should not be conceived as the binary absence of error, but as the recursive preservation of trust under bounded deviation. Using the Recursive Trust Basin formalism, reliability is defined as sustained oscillation within a trust basin, where errors are natural but coherence is preserved through recursive repair and regeneration. The paper further explores why statistical scaling of transformers cannot resolve catastrophic trust failures and why recursive repair outperforms infinite scaling. Reliability emerges not from perfection, but from recursive integrity and epistemic stability. An appendix highlights the role of paradox resolution as a foundation for epistemic reliability. Academic paradoxes are epistemic fault lines; resolving them transforms contradiction into recursive coherence. Universities and research institutions, by promoting paradox resolution, can bolster epistemic reliability in human knowledge—directly strengthening the reliability of AI systems trained on that knowledge. This extension ties the work into the Yearning Framework Research Lab’s (YFRL) mission to resolve paradoxes across disciplines, thereby fortifying both human and artificial trust systems.